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Longitudinal morphological changes during recovery from brain deformation due to idiopathic normal pressure hydrocephalus after ventriculoperitoneal shunt surgery

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The present study aimed to examine time-dependent change in cerebrospinal fluid distribution and various radiological indices for evaluating shunt effectiveness in patients with idiopathic normal pressure hydrocephalus (iNPH). This study included 54 patients with iNPH who underwent MRI before and after ventriculoperitoneal shunt surgery. The volume of the total ventricles and subarachnoid spaces decreased within 1 month after shunting. However, more than 1 year after shunting, the volume of the total ventricles decreased, whereas that of the total subarachnoid spaces increased. Although cerebrospinal fluid distribution changed considerably throughout the follow-up period, the brain parenchyma expanded only 2% from the baseline brain volume within 1 month after shunting and remained unchanged thereafter. The volume of the convexity subarachnoid space markedly increased. The changing rate of convexity subarachnoid space per ventricle ratio (CVR) was greater than that of any two-dimensional index. The brain per ventricle ratio (BVR), callosal angle and z-Evans index continued gradually changing, whereas Evans index did not change throughout the follow-up period. Both decreased ventricular volume and increased convexity subarachnoid space volume were important for evaluating shunt effectiveness. Therefore, we recommend CVR and BVR as useful indices for the diagnosis and evaluation of treatment response in patients with iNPH.
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Longitudinal morphological
changes during recovery from brain
deformation due to idiopathic
normal pressure hydrocephalus
after ventriculoperitoneal shunt
surgery
Shigeki Yamada
1,2,3*, Masatsune Ishikawa2,4, Makoto Yamaguchi2 & Kazuo Yamamoto2
The present study aimed to examine time-dependent change in cerebrospinal uid distribution and
various radiological indices for evaluating shunt eectiveness in patients with idiopathic normal
pressure hydrocephalus (iNPH). This study included 54 patients with iNPH who underwent MRI before
and after ventriculoperitoneal shunt surgery. The volume of the total ventricles and subarachnoid
spaces decreased within 1 month after shunting. However, more than 1 year after shunting, the volume
of the total ventricles decreased, whereas that of the total subarachnoid spaces increased. Although
cerebrospinal uid distribution changed considerably throughout the follow-up period, the brain
parenchyma expanded only 2% from the baseline brain volume within 1 month after shunting and
remained unchanged thereafter. The volume of the convexity subarachnoid space markedly increased.
The changing rate of convexity subarachnoid space per ventricle ratio (CVR) was greater than that
of any two-dimensional index. The brain per ventricle ratio (BVR), callosal angle and z-Evans index
continued gradually changing, whereas Evans index did not change throughout the follow-up period.
Both decreased ventricular volume and increased convexity subarachnoid space volume were important
for evaluating shunt eectiveness. Therefore, we recommend CVR and BVR as useful indices for the
diagnosis and evaluation of treatment response in patients with iNPH.
Normal pressure hydrocephalus (NPH) was rst proposed by Hakim and Adams as a surgically treatable cause
of dementia in 19651. With the development of imaging predictors of shunt eectiveness, the prevalence of idi-
opathic NPH (iNPH) has been increasing rapidly in developed countries characterized by a higher proportion
of the elderly population18. Additionally, recent developed devices, such as adjustable valves with anti-siphon
mechanisms, preoperative virtual simulators, and several intraoperative guiding tools, have improved the out-
come of shunt surgery; approximately 70% of patients improve their symptoms to some extent913, and 10% of
patients need shunt revision10,11,14. However, the symptoms of 30% of patients with iNPH who undergo shunt
surgery are not improved for various reasons, including underdrainage, shunt malfunction, and comorbidi-
ties. If a patient’s symptoms do not improve or even worsen aer shunt surgery, neurosurgeons must investigate
the cause by computed tomography (CT) or magnetic resonance imaging (MRI). However, it is unknown how
iNPH-specic indices change following shunt surgery.
According to Hakim’s hypothesis15, brain shrinkage due to compression from enlarged ventricles in NPH
can be reverted by cerebrospinal uid (CSF) volume subtraction. Indeed, in typical patients with secondary or
congenital NPH, the brain parenchyma obviously expands as ventricular size decreases aer CSF shunt surgery
1Department of Neurosurgery, Shiga University of Medical Science, Shiga, Japan. 2Department of Neurosurgery
and Normal Pressure Hydrocephalus Center, Rakuwakai Otowa Hospital, Kyoto, Japan. 3Interfaculty Initiative in
Information Studies/Institute of Industrial Science, The University of Tokyo, Tokyo, Japan. 4Rakuwa Villa Ilios, Kyoto,
Japan. *email: shigekiyamada39@gmail.com
OPEN
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(Fig.1A–D)16,17. However, the ventricular size measured by the Evans index remains oen unchanged in elderly
patients with iNPH (Fig.1E,F), even if their symptoms are improved aer shunting1821. e key features of iNPH
are compressed high-convexity sulci concurrent with enlarged Sylvian ssure and basal cistern, i.e., dispropor-
tionately enlarged subarachnoid space hydrocephalus (DESH)4,2224. We recently showed that the pathophys-
iological mechanism of DESH in iNPH mainly involves the compensatory direct pathway of CSF between the
inferior horn of the lateral ventricles and the basal cistern at the inferior choroidal point of the choroidal ssure16.
erefore, if the lateral ventricles and the basal cistern in iNPH are enlarged simultaneously, they may all become
smaller following shunt surgery. Depending on the decrease in the volumes of the lateral ventricles and the basal
cistern, the volume of the convexity subarachnoid space may increase. erefore, we investigated the longitudinal
change in iNPH-specic indices and the volumes in the brain parenchyma, ventricles, and subarachnoid spaces
on three-dimensional (3D) MRI before and aer shunt surgery. Additionally, because the presence of comorbid
Alzheimer’s disease (AD) is associated with smaller, shorter-lasting eects of shunt treatment in patients with
iNPH2527, we also investigated whether the change in the indices and volumes is associated with clinical out-
comes or comorbid AD.
Results
Clinical characteristics. In 54 consecutive patients with iNPH who underwent follow-up MRI within 1
month aer ventriculo-peritoneal shunt (VPS) via parieto-occipital approach (mean age, 76.7 ± 5.8 years; range,
60 to 88 years; 35 men, 19 women), the longitudinal changes in the morphological indices for iNPH and the
segmented volumes in brain parenchyma and CSF spaces were evaluated. e mean time interval from initial
symptom onset until baseline MRI (before VPS) was 27.3 ± 19.7 months, and that from initial symptom onset
until VPS was 48.7 ± 69.1 months. Follow-up MRI was conducted < 1 month (early) aer VPS in all 54 patients,
1 month to 1 year (mid) in 28 patients, and > 1 year (late) in 16 patients. Table1 presents the baseline clinical
characteristics and outcome aer VPS. e rst 12 patients treated with a Codman Hakim programmable valve,
whereas the latter 42 patients treated with a Codman CERTAS Plus programmable valve. ere was no signicant
dierence between the two groups in the mean values of age, disease duration, or frequency of co-morbidities and
outcome. As shown in Table2, the patients with pure iNPH had signicantly larger Evans index and signicantly
Figure 1. Conventional CT scan one day before and one month aer shunt surgery. Representative cases
diagnosed with adult-onset congenital NPH (A,B), secondary NPH (C,D) and idiopathic NPH (E,F).
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smaller brain per ventricle ratios (BVRs) at the posterior commissure (PC) level at baseline MRI than those with
co-occurrence of iNPH and AD. e other the iNPH-specic indices and segmented CSF volumes were not sig-
nicantly dierent between patients with pure iNPH and those with co-occurrence of iNPH and AD.
Changes in morphological indices after shunt implantation. e mean value of the Evans index
remained unchanged throughout the follow-up period, whereas that of the z-Evans index showed gradual and
slight decrease (Table3 and Fig.2A). e mean rate of change in the BVR at the anterior commissure (AC) level
was more than two-fold than that of the z-Evans index but less than that of the BVR at the PC level. e mean rate
of change in the callosal angle was the largest among the two-dimensional (2D) parameters: it was 13% early aer
VPS, and then increased to > 30% late aer VPS.
Volumetric changes. At the early phase aer VPS, the mean volume of the total intracranial CSF decreased
by 24 ± 39 mL from the baseline due to the decrease both in the total ventricles (19 mL) and the total subarach-
noid spaces (5 mL), as shown in Table3. Conversely, the brain volume slightly increased just as much as intracra-
nial CSF decreased, but subsequently there was no further increase in the brain volume throughout the follow-up
period (Table3 and Fig.2B). At the mid phase aer VPS, the mean volumes of the total ventricles and the total
subarachnoid spaces were almost unchanged. At the late phase, however, the mean rate of change in the total ven-
tricular volume decreased < 20% again, whereas that of the total subarachnoid spaces increased < 10%. e mean
volume of the Sylvian ssure and basal cistern gradually and slightly decreased from 130 mL to 100 mL at the late
phase aer VPS (Table3 and Fig.2C). In contrast, the mean volume of the convexity subarachnoid space consid-
erably increased > 60% late aer VPS. e changing rate of the convexity subarachnoid space per ventricle ratio
(CVR), which was calculated as the volume of the convexity subarachnoid space divided by the total ventricular
volume, was greater than that of any 2D index (Fig.2A).
Relationship with clinical outcome. Among the iNPH-specic indices, the BVRs at the AC and PC levels
late aer VPS had a statistically signicant dierence between excellent and good outcomes (Fig.3A). e mean
volume of the total ventricles in the patients with excellent outcome continued gradually decreasing throughout
the follow-up period, whereas that in the patients with good outcome conversely increased at the mid phase aer
VPS (Fig.3B). However, the mean volume of the convexity subarachnoid space in the patients with excellent
outcome gradually increased until late aer VPS, whereas that in the patients with good outcome had a small
increase (Fig.3C). Although the patients with pure iNPH tended to have higher changing rates of the morpho-
logical indices and segmented volumes than those with co-occurrence of iNPH and AD, there was no statistical
dierence (Fig.4).
Discussion
Our results indicated that the brain of patients with iNPH expanded <30 mL, which was <2% of the total brain
volume, due to a decrease in the intracranial CSF volume just aer shunt surgery, but subsequently remained
unchanged throughout the follow-up period regardless of improved symptoms gradually. In addition, the dispro-
portionate CSF distribution specic to iNPH reverted to a normal distribution in three phases aer shunting as
shown in Fig.5. Early aer shunting, both the total ventricles and total subarachnoid spaces had reduced volumes,
whereas the convexity part of the subarachnoid space had increased volume. Subsequently, mid aer shunting,
both the total ventricles and total subarachnoid spaces showed unchanged volumes despite continuous redis-
tribution of the intracranial CSF from the Sylvian ssure and basal cistern to the convexity subarachnoid space.
Late aer shunting, the total ventricles had reduced volumes again, but the total subarachnoid spaces had con-
versely increased volumes. However, the callosal angle and BVRs at the AC and PC levels showed gradual increase
throughout the follow-up period, independent of the staged changes in the CSF distribution. ese ndings indi-
cated that the CSF shunt surgery in patients with iNPH causes the convexity part of the brain to move from top to
Characteristics Total
(n = 54) CHPV (n = 12)
~3. 2016 CERTUS (n = 42)
4. 2016~ P value*
Sex, men:women 35:19 9:3 26:16 0.542
Mean age ± SD, y ear s 76.7 ± 5.8 75.2 ± 6.9 77.1 ± 5.3 0.220
Mean disease duration ± SD, y ears 2.3 ± 1.6 1.5 ± 1.1 2.5 ± 1.7 0.067
Mean days from MRI to shunt surgery 48.8 ± 69.1 39.7 ± 29.1 51.3 ± 76.9 0.906
Mean days from shunt surgery to the rst follow-up MRI 12.2 ± 5.1 9.8 ± 2.6 12.9 ± 5.5 0.063
Comorbidity of Alzheimer’s disease 19 2 17 0.238
Outcome, excellent:good:unsatisfactory 43:11:0 8:4:0 35:7:0 0.217
Valve pressure at the rst follow-up MRI 14.8 ± 3.9 mmH2O 4.5 ± 1.0
Valve pressure at the second follow-up MRI 13.6 ± 3.7 mmH2O 4.1 ± 0.9
Valve pressure at the third follow-up MRI 9.3 ± 2.8 mmH2O 3.4 ± 0.9
Table 1. Clinical characteristics and outcome aer shunt surgery. Data are presented as the mean ± standard
deviation unless otherwise noted. *Probability value of the Wilcoxon rank-sum test: comparison between
CHPV vs. CERTUS. CERTUS, Codman CERTAS® Plus programmable valve with Siphon-Guard®; CHPV,
Codman Hakim programmable valve with Siphon-Guard®; MRI, magnetic resonance imaging; SD, standard
deviation.
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bottom and to regain normal shape via redistribution of intracranial CSF from the ventricles and Sylvian ssure to
the convexity subarachnoid space rather than via brain expansion (i.e., like a sponge). We also demonstrated that
the Evans index remained absolutely unchanged throughout the follow-up period. ese results are in line with
those of previous studies1821,28,29. Some reports indicated that the Evans index was not appropriate for evaluating
the ventricular size in elderly individuals, especially under the diagnosis of iNPH7,8,3032. erefore, these ndings
lead us to concluded that the BVRs at the AC and PC levels or z-Evans index which indicate the z-axial expan-
sion of the bilateral ventricles were appropriate for evaluating ventricular dilatation and shunt eectiveness in
patients with iNPH, rather than the Evans index. Additionally, this study revealed that the morphological recovery
from brain deformation aer shunting was greater posteriorly than anteriorly. Among the 2D indices, the greatest
changing rate was that of the callosal angle, followed by was the BVR at the PC level. Recently, Virhammar et al.
reported that the callosal angle signicantly increased 3 months aer shunting21. In this study, the increase in the
both BVRs at the AC and PC levels more than 1 year aer shunting was signicantly associated with the excellent
outcome, although the changing rate in the BVR at the PC level was larger than that of the BVR at the AC level.
ese ndings help to clarify the process of recovery from the symptoms and disproportionate CSF distribution
in patients with iNPH aer CSF shunt surgery. Additionally, the time-course of the redistribution of the intracra-
nial CSF aer shunting may contribute to the next approach to adjust programmable valve pressure setting at the
proper timing. For example, the total ventricles in the patients with excellent outcome continued slightly decreas-
ing throughout the follow-up period, whereas those in the patients with good outcome conversely increased at
the mid phase aer shunting. Even if the shunt valve pressure was appropriate early aer shunting, it was actually
underdrainage at the mid phase. Because increased ventricular volume aer shunting may aect the outcome, we
suggest physicians try to lower the shunt valve pressure mid aer shunting, if iNPH-related symptoms persist with
poor changes in the volume of total ventricle and BVRs at the AC and PC levels.
Our study has some limitations. First, there was a wide range of SDs for the mean values of assessment meas-
ures, because of varied size of the ventricles and subarachnoid spaces in patients with iNPH. erefore, the
changes in the indices and segmented CSF volumes have a possibility of large uncertainty. Second, the inuence of
MRI artefacts due to the shunt valve was small but could not be ignored; nevertheless, we measured the intracra-
nial CSF volume aer VPS in patients with shunt valve placement under the occipital scalp. ird, a comorbidity
of AD was not conrmed pathologically by brain biopsy, CSF biomarkers or amyloid imaging. Additional infor-
mation could increase the diagnostic accuracy of AD comorbidity26,27,33, although CSF biomarkers at the spinal
tap test in iNPH were uctuate and it is dicult to determine clear cuto values of them between pure iNPH and
iNPH + AD34. Finally, the participants in this study did not undergo MRI at the scheduled time-point. ere is a
possibility of the selection bias that the timing of follow-up MRI was not xed. erefore, several novel ndings
in this study should be further assessed in a prospective cohort study with scheduled timing of follow-up MRI.
In conclusion, the brain parenchyma expanded only 2% from the baseline brain volume early aer shunt-
ing and remained subsequently unchanged, although CSF distribution considerably changed throughout the
follow-up period. Changes in CSF distribution occurred in three phases aer shunt implantation. e ventricu-
lar volume decreased at the early and late phases, whereas the volume of the total subarachnoid spaces slightly
Characteristics Total
(n = 54) Pure iNPH
(n = 35) iNPH + AD
(n = 19) P va lue*
Evans index (mean ± SD) 0.32 ± 0.06 0.34 ± 0.06 0.30 ± 0.05 0.017
z-Evans index (mean ± SD) 0.44 ± 0.06 0.45 ± 0.06 0.43 ± 0.06 0.173
Callosal angle (mean ± SD) 63.5 ± 18.5 61.6 ± 19.6 67.1 ± 16.2 0.193
BVR at the AC (mean ± SD) 0.72 ± 0.17 0.70 ± 0.17 0.77 ± 0.18 0.133
BVR at the PC (mean ± SD) 0.89 ± 0.23 0.82 ± 0.19 1.00 ± 0.24 0.010
CVR (mean ± SD) 0.47 ± 0.20 0.47 ± 0.21 0.48 ± 0.18 0.812
Total intracranial volume, mL 1543 ± 156 1562 ± 123 1509 ± 203 0.296
Brain parenchyma, mL (VR, %) 1107 (71.8) 1119 (71.7) 1084 (72.0) 0.388
Total CSF, mL (VR, %) 436.8 (28.2) 443.3 (28.3) 424.9 (28.0) 0.683
Total ventricle, mL (VR, %) 163.7 (10.5) 170.5 (10.9) 151.1 (9.9) 0.108
Bilateral ventricle, mL (VR, %) 155.0 (10.0) 161.5 (10.3) 143.0 (9.4) 0.126
ird ventricle, mL (VR, %) 5.2 (0.3) 5.3 (0.3) 5.0 (0.3) 0.442
Fourth ventricle, mL (VR, %) 3.6 (0.2) 3.7 (0.2) 3.5 (0.2) 0.946
Total SAS, mL (VR, %) 273.1 (17.7) 272.7 (17.4) 273.8 (18.1) 0.651
Convex part of the SAS, mL (VR, %) 72.3 (4.7) 75.3 (4.8) 66.8 (4.4) 0.159
Sylvian ssure and basal cistern, mL (VR, %) 130.2 (8.4) 127.0 (8.1) 136.1 (9.0) 0.350
SAS in the posterior fossa, mL (VR, %) 70.6 (4.6) 70.1 (4.5) 71.3 (4.7) 0.788
Table 2. Morphological indices, volumes, and VR at baseline MRI. *Probability value of the Wilcoxon rank-
sum test: comparison between pure iNPH and iNPH + AD. iNPH + AD indicates patients with iNPH who had
AD as comorbidity. VR, volume ratio which is calculated as the volume divided by the total intracranial volume.
AC, anterior commissure; AD, Alzheimer’s disease; BVR, brain per ventricle ratio; CSF, cerebrospinal uid;
CVR, convex subarachnoid space to ventricle ratio; iNPH, idiopathic normal pressure hydrocephalus; MRI,
magnetic resonance imaging; PC, posterior commissure; SAS, subarachnoid space; SD, standard deviation; VR,
volume ratio.
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decreased at the early phase, conversely increasing at the late phase. Especially, the volume of the convexity sub-
arachnoid space markedly increased throughout the follow-up period. Both decreased ventricular volume and
increased convexity subarachnoid space volume were important for evaluating shunt eectiveness. erefore,
we recommend CVR, which can measure directly the volumetric change both in the ventricles and convexity
subarachnoid space, as a 3D index. However, a 3D index is dicult to measure in clinical routine. As simple 2D
indices, the callosal angle, BVR at the PC level, BVR at the AC level, and z-Evans index were greatly changed aer
shunt surgery (in that order), whereas the Evans index remained unchanged throughout the follow-up period.
Among them, we recommend the BVRs at the AC and PC levels, because they were signicantly associated with
better clinical outcomes or comorbid AD. ese novel ndings may contribute to future studies of the pathogen-
esis of iNPH and to developing a future treatment approach based on the specic CSF distribution in patients
with iNPH.
Methods
Ethical approval and patient consent. e study design and protocol were approved by the ethics com-
mittee for human research at Rakuwakai Otowa Hospital (IRB Number: Rakuoto-Rin-14-003). Aer the patients
or their relatives provided written informed consent, their private information was anonymized in a linkable
manner. e methods were performed in accordance with the approved guidelines outlined in the Declaration
of Helsinki.
Study population. Details of the clinical data collection, image acquisition, and segmentation and quan-
tication of the ventricles and subarachnoid spaces are described in our previous publications7,8,16. Volumetric
data of T2-weighted 3D-SPACE sequence were prospectively collected from November 2013 to June 2018 on
3-Tesla MRI scanner (MAGNETOM Skyra; Siemens AG, Muenchen, Germany) before and aer VPS surgery
in consecutive 72 patients diagnosed with iNPH. ree patients who underwent VPS via frontal approach were
excluded, because the artefacts from the metal parts in the shunt valve aected the volumetric analysis on MRI.
ree patients who underwent lumboperitoneal shunt surgery were excluded, because the dierent locations of
CSF drainage might inuence changes in CSF distribution aer shunt surgery. Two patients who were diagnosed
with shunt malfunction and required shunt revision about 1 year aer the rst shunt surgery were excluded,
because we cannot judge when the shunt was obstructed, or how long it was eective. Additionally, 10 patients
who underwent the rst follow-up MRI > 1 month aer VPS were excluded. Finally, 54 patients with iNPH who
underwent the rst follow-up MRI within 1 month aer VPS via parieto-occipital approach were included in
this study. Among them, 19 patients with iNPH (35%) had a comorbidity of AD, based on the comprehensive
assessment of their symptoms, prescription of cholinesterase inhibitors, and ndings on MRI and single-photon
emission computed tomography, according to the current recommendation from the National Institute on
Aging–Alzheimer’s Association workgroups35.
Ventriculo-peritoneal shunt and valve pressure adjustment. Details of the surgical procedure for
VPS via parieto-occipital approach have been described in previously36. Briey, to insert the ventricular catheter
precisely, we routinely conducted preoperative virtual 3D simulation by using the SYNAPSE 3D workstation
(Fujilm Medical Systems, Tokyo, Japan). A shunt valve system including a Codman Hakim programmable valve
Characteristics Pre-shunt (n = 54) Early (n = 54) Mid (n = 28) L ate (n = 16)
Evans index (mean ± SD) 0.32 ± 0.06 0.31 ± 0.06 0.33 ± 0.06 0.34 ± 0.05
z-Evans index (mean ± SD) 0.44 ± 0.06 0.42 ± 0.05 0.41 ± 0.05 0.41 ± 0.06
Callosal angle (mean ± SD) 63.5 ± 18.5 72.0 ± 19.6 83.5 ± 24.2 84.5 ± 20.0
BVR at the AC (mean ± SD) 0.72 ± 0.17 0.79 ± 0.16 0.83 ± 0.15 0.84 ± 0.19
BVR at the PC (mean ± SD) 0.89 ± 0.23 1.10 ± 0.25 1.07 ± 0.30 1.09 ± 0.24
CVR (mean ± SD) 0.47 ± 0.20 0.60 ± 0.29 0.66 ± 0.23 0.72 ± 0.31
Brain parenchyma, mL (VR, %) 1107 (71.8) 1131 (73.4) 1116 (73.3) 1099 (73.9)
Total CSF, mL (VR, %) 436.8 (28.2) 412.4 (26.6) 408.7 (26.7) 389.4 (26.1)
Total ventricle, mL (VR, %) 163.7 (10.5) 144.5 (9.3) 141.2 (9.2) 139.4 (9.3)
Bilateral ventricle, mL (VR, %) 155.0 (10.0) 136.3 (8.8) 134.1 (8.8) 135.8 (9.0)
ird ventricle, mL (VR, %) 5.2 (0.3) 4.8 (0.3) 4.3 (0.3) 4.1 (0.3)
Fourth ventricle, mL (VR, %) 3.6 (0.2) 3.3 (0.2) 2.9 (0.2) 2.5 (0.2)
Total SAS, mL (VR, %) 273.1 (17.7) 267.9 (17.3) 267.4 (17.5) 250.0 (16.9)
Convex part of the SAS, mL (VR, %) 72.3 (4.7) 80.2 (5.2) 88.1 (5.7) 92.7 (6.2)
Sylvian ssure and basal cistern, mL (VR, %) 130.2 (8.4) 120.7 (7.8) 116.1 (7.6) 100.1 (6.8)
SAS in the posterior fossa, mL (VR, %) 70.6 (4.6) 68.9 (4.4) 63.5 (4.1) 56.5 (3.8)
Table 3. Mean values of indices and volumes on MRI before and aer shunt surgery. *Values with signicant
changes from the pre-shunt values by the Wilcoxon signed-rank test. AC, anterior commissure; BVR, brain
per ventricle ratio; CSF, cerebrospinal uid; CVR, convex subarachnoid space to ventricle ratio; MRI, magnetic
resonance imaging; PC, posterior commissure; SAS, subarachnoid space; SD, standard deviation; VR, volume
ratio.
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with a Siphon-Guard® (Integra LifeSciences Corporation, Plainsboro, NJ, USA) was used in 12 patients until
March 2016; aer that date, 42 patients underwent VPS by using an MRI-resistant Codman CERTAS® Plus pro-
grammable valve with a Siphon-Guard® (Integra LifeSciences Corporation, Plainsboro, NJ, USA). e mean
values of age, several indices, and volumes were not signicantly dierent between the two groups. e opening
pressure of the shunt valve was set based on the patient’s height and weight per Miyake’s quick reference table37.
All patients were evaluated for over- or underdrainage of CSF based on the changes in the symptoms and CT scan
within 10 days aer shunt implantation, and subsequently, every 1 month up to 6 months and every 3 months
aer 6 months. e valve pressure was readjusted in stepwise setting for the Codman CERTAS Plus valve or by
intervals of 2 cmH2O for the Codman Hakim programmable valve as required. Concretely, in case of insu-
cient improvement of patients’ symptoms, dened as CSF underdrainage, the valve pressure was lowered; in case
of orthostatic headache or subdural eusion on CT scan, dened as CSF overdrainage, the valve pressure was
raised. If the valve pressure was readjusted, we checked the patients’ conditions and subdural eusion through
CT scan within 1 month aer readjustment. In this study, the follow-up MRI nding of apparent subdural eu-
sion or hematoma was absent, and no patient required additional surgery for subdural hematoma during the
follow-up period. Clinical outcomes were classied into excellent, good, and unsatisfactory36. An excellent out-
come was dened as the regained ability to perform outdoor activities that was grade 0 to 2 on the modied
Rankin Scale and a 2-point improvement on the Japanese iNPH grading scale. A good outcome was dened as a
1-point improvement on the modied Rankin Scale or iNPH grading scale but needing some support to perform
Figure 2. Bee swarm plots of the changing rate of indices and segmented volumes following shunt surgery
compared to those at baseline magnetic resonance imaging. Graph A shows the distribution and mean value
of the relative changes in the following indices; Evans index (brown), z-Evans index (green), callosal angle
(red), brain per ventricle ratio (BVR) at the anterior commissure (AC) level (purple) and BVR at the posterior
commissure (PC) level (blue), and convexity subarachnoid space (SAS) per ventricle ratio (CVR; orange).
Graph B shows the distribution and mean value of the relative volume changes in the brain parenchyma
(brown), total ventricles (red), and total SAS (blue). Graph C shows the distribution and mean value of the
relative volume changes in the convexity part of SAS (blue), Sylvian ssure and basal cistern (red), and SAS in
the posterior fossa (brown).
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outdoor activities, which was graded 3 to 4 on the modified Rankin Scale. An unsatisfactory outcome was
dened as unchanged or worsening symptoms and persistent severe disability that was grade 5 on the modied
Rankin Scale. Table4 shows the changes in modied Rankin Scale, iNPH grading scale, times on the 3-m timed
up-and-go test and 10-m straight walk test and scores of mini-mental state examination and frontal assessment
battery at the baseline MRI and the rst follow-up MRI. e patients with excellent outcome had signicantly
mild grade on the baseline modied Rankin Scale and signicant improvement on modied Rankin Scale at the
rst follow-up MRI, compared with those with good outcome. Additionally, the patients with excellent outcome
signicantly improved the total and gait scores of iNPH grading scale at the rst follow-up MRI, compared with
the patients with good outcome. However, the mean values and changes of quantitative measurements did not
have signicant dierences between the excellent and good outcomes. e mean time on 3-m timed up-and-go
test was shortened by >10 seconds at the rst follow-up MRI in both groups of the excellent and good outcomes.
Image acquisition and volumetric analysis. Because all patients had shunt valve placement under the
right occipital scalp, MRI artefacts due to the shunt valve system on the T2-weighted 3D sequence slightly aected
the CSF volume of the subarachnoid space in the posterior fossa (Fig.6). e volumetric data were entered on a
3D workstation, where the intracranial space was semi-automatically segmented with recent technologies com-
bined the user-steered live-wire segmentation, edge-guided nonlinear interpolation, and automatic extraction of
Figure 3. Comparison of indices and segmented volumes aer shunt surgery between patients with excellent
outcome and those with good outcome. Asterisk (*) indicates statistically signicant dierence between the
patients with excellent outcome (solid line) and those with good outcome (dotted line). Graph A shows the
mean value of the relative changes in the following indices: Evans index (brown), z-Evans index (green), callosal
angle (red), brain per ventricle ratio (BVR) at the anterior commissure (AC) level (purple) and BVR at the
posterior commissure (PC) level (blue), and convexity subarachnoid space (SAS) per ventricle ratio (CVR;
orange). Graph B show the mean value of the relative volume changes in the brain parenchyma (brown), total
ventricles (red), and total subarachnoid space (SAS; blue). Graph C shows the mean value of the relative volume
changes in the convexity part of SAS (blue), Sylvian ssure and basal cistern (red), and SAS in the posterior
fossa (brown).
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continuous objects. Aer that, the intracranial space was subdivided into the brain parenchyma and intracranial
CSF space through a simple threshold algorithm. Finally, the intracranial CSF spaces were manually segmented
into the total ventricles, convexity subarachnoid space, Sylvian ssure and basal cistern, and subarachnoid space
in the posterior fossa (Fig.6 and Video). Each segmented volume was automatically measured by counting the
number of voxels. Volume ratios, which were calculated as the measured volumes divided by the intracranial
volume, were analyzed to eliminate the eect of head size.
Morphological indices specic to NPH. Figure7 shows the measured indices early aer VPS in the same
patient with co-occurrence of iNPH and AD as Fig.6. e Evans index (Fig.7A) was measured as the maximal
width of the frontal horns of the lateral ventricles to the maximal width of the internal diameter of the cranium
based on the x-dimension38. e z-Evans index (Fig.7B) was measured as the maximum z-axial length of the
frontal horns of the lateral ventricles to the maximum cranial z-axial length on the coronal plane, which was
perpendicular to the anteroposterior commissure plane on the AC7. e callosal angle (Fig.7C) was measured as
the angle of the roof of the bilateral ventricles on the coronal plane at the PC level5. e BVRs at the AC and PC
levels (Fig.7B,C) were calculated as the maximum width of the brain just above the lateral ventricles divided by
Figure 4. Comparison of indices and segmented volumes aer shunt surgery between patients with pure
idiopathic normal pressure hydrocephalus (iNPH) and those with co-occurrence of iNPH and Alzheimer’s
disease (AD) (iNPH + AD). Filled diamonds and solid lines indicate the patients with pure iNPH and unlled
diamonds and dotted lines indicate those with iNPH + AD. Graph A shows the mean value of the relative
changes in the following indices; Evans index (brown), z-Evans index (green), callosal angle (red), brain per
ventricle ratio (BVR) at the anterior commissure (AC) level (purple) and BVR at the posterior commissure
(PC) level (blue), and convexity subarachnoid space (SAS) per ventricle ratio (CVR; orange). Graph B shows
the mean value of the relative volume changes in the brain parenchyma (brown), total ventricles (red), and total
subarachnoid space (SAS; blue). Graph C shows the mean value of the relative volume changes in the convexity
part of SAS (blue), Sylvian ssure and basal cistern (red), and SAS in the posterior fossa (brown).
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the maximum width of the lateral ventricles on the reference coronal planes at the AC and PC levels, respectively8.
e CVR was dened as the volume of the convexity-subarachnoid space divided by the total ventricular volume8.
Absolute and relative changes in the morphological indices and volumes in brain parenchyma, total ventricles,
and three parts of subarachnoid spaces aer VPS were compared to those before VPS. Absolute changes were
calculated as the baseline indices and volumes minus those aer VPS, and relative changes were calculated as the
absolute changes divided by the baseline indices or volumes × 100 (%).
Statistical analysis. Absolute and relative changes in mean values and standard deviations (SDs) for the
segmented volumes and indices aer VPS were compared using Wilcoxon signed-rank test. e frequency of
follow-up MRI examinations and the period from VPS to MRI varied widely: 54 patients underwent the rst
follow-up MRI from 5 to 29 days (median: 11 days) aer VPS, 32 patients underwent the second MRI from 36
Figure 5. Schematic diagram showing the longitudinal change of CSF in patients with iNPH. e iNPH-
specic CSF distribution named disproportionately enlarged subarachnoid space hydrocephalus (DESH)
before shunting (le) reverted to a normal distribution in the following three phases; early, mid, and late aer
ventriculoperitoneal shunt surgery.
Excellent (n = 43) Good (n = 11) P value*
At baseline At 1st MRI At baseline At 1st MRI
mRS 2.57 ± 0.67 1.84 ± 0.69 2.82 ± 0.98 2.55 ± 0.82 0.012
mRS 0.72 ± 0.55 0.27 ± 0.47 0.026
iNPHGS total 6.36 ± 1.96 4.28 ± 1.92 6.36 ± 2.50 5.45 ± 2.81 0.118
total 2.07 ± 1.47 0.91 ± 1.45 0.007
gait 2.52 ± 0.51 1.56 ± 0.59 2.45 ± 0.69 2.09 ± 0.94 0.024
gait 0.98 ± 0.46 0.36 ± 0.67 <0.001
cognitive 1.83 ± 0.88 1.44 ± 0.80 2.00 ± 0.89 1.73 ± 0.90 0.255
cognitive 0.37 ± 0.62 0.27 ± 0.47 0.743
urinary 2.00 ± 0.96 1.28 ± 0.85 1.91 ± 1.30 1.64 ± 1.21 0.387
urinary 0.72 ± 0.77 0.27 ± 0.47 0.060
TUG 26.2 ± 30.4 13.5 ± 10.0 32.9 ± 33.7 16.7 ± 7.67 0.058
TUG 12.7 ± 29.4 16.4 ± 27.0 0.761
10 M Walk 18.4 ± 17.3 10.2 ± 15.5 19.7 ± 20.9 12.2 ± 6.72 0.195
10 M Walk 8.2 ± 15.8 7.6 ± 21.3 0.232
MMSE 21.6 ± 5.6 23.6 ± 5.0 21.5 ± 6.7 23.1 ± 5.1 0.777
MMSE 1.7 ± 4.5 2.2 ± 2.6 0.986
FAB 9.58 ± 2.9 11.4 ± 3.1 10.0 ± 4.1 10.5 ± 3.5 0.573
FAB 1.7 ± 2.8 0.7 ± 3.2 0.240
Table 4. Change in clinical scores at the baseline and the rst follow-up MRI in the groups of excellent outcome
and good outcome. Data are presented as the mean ± standard deviation unless otherwise noted. indicates the
dierence between score at the baseline and that at the rst follow-up MRI. *Probability value of the Wilcoxon
rank-sum test: comparison between excellent and good outcomes mRS, modied Rankin Scale; iNPHGS,
idiopathic normal pressure hydrocephalus grading scale; TUG, timed 3-m up-and-go test; 10 M Walk, 10-m
straight walking test; MMSE, mini-mental state examination; FAB, frontal assessment battery.
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Figure 6. Segmentation of the total ventricles and three parts of the subarachnoid spaces. ese images were
created on the SYNAPSE 3D workstation (Fujilm Medical Systems, Tokyo, Japan) from a three-dimensional
(3D) T2-weighted 3-Tesla sequence 10 days aer ventriculoperitoneal shunting via parieto-occipital approach in
a patient diagnosed with co-occurrence of idiopathic normal pressure hydrocephalus (iNPH) and Alzheimer’s
disease (AD). e ventricles were manually extracted from intracranial cerebrospinal uid (CSF) space by
enclosing in a free shape. (A) e total subarachnoid spaces were segmented by subtraction of the total ventricles
from total intracranial CSF spaces. e convexity subarachnoid space (B) was manually segmented from the total
subarachnoid spaces per the anatomical landmarks of the basal interhemispheric cistern, Sylvian ssure, and
tentorium cerebelli. From the residual subarachnoid spaces, the subarachnoid space in the posterior fossa (D) was
segmented with reference to the anatomical landmarks of the tentorium cerebelli, chiasma and optic tract. ere was
a small MRI artefact in the right occipital posterior fossa. e Sylvian ssure and basal cistern (C) were segmented
by subtraction of the convexity subarachnoid space and subarachnoid space in the posterior fossa from the total
subarachnoid spaces. e convexity subarachnoid space per ventricle ratio (CVR), which was dened as the volume
of the convexity subarachnoid space (178 mL) divided by the total ventricular volume (118 mL), was 1.51.
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Figure 7. Morphological indices specic to idiopathic normal pressure hydrocephalus (iNPH). ese magnetic
resonance images are shown for the same patient as Fig.6. e Evans index was calculated as 0.327 (A); the
maximum length of the frontal horns of the lateral ventricles (46.0 mm) divided by the maximum cranial length
on the same axial plane (140.8 mm). e z-Evans index, which was calculated as the maximum z-axial length
of the frontal horns of the lateral ventricles (35.6 mm) divided by the maximum cranial z-axial length at the
midline (88.0 mm) on the coronal plane just on the anterior commissure (AC), was 0.405 (B). e callosal angle
was calculated as 63 degrees (C) at the roof of the bilateral ventricles on the coronal plane just on the posterior
commissure (PC). e brain per ventricle ratios (BVRs) at the AC and PC levels were calculated as 0.941 (B)
and 1.429 (C), respectively.
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to 742 days (median: 178 days), 12 patients underwent the third MRI from 366 to 1270 days (median: 559 days).
erefore, we categorized the period from VPS to follow-up MRI into <1 month (early, 54 patients), 1 month
to 1 year (mid, 28 patients), and >1 year (late, 16 patients). e Wilcoxon rank-sum test was used to compare
the mean values between patients with and without AD. Fisher’s exact test was used to compare the proportions
of the 2 groups. Statistical signicance was assumed at a probability (P) value of less than 0.05. All missing data
were treated as decit data that did not aect other variables. Statistical analysis was performed using R soware
(version 3.3.2; R Foundation for Statistical Computing, Vienna, Austria; http://www.R-project.org).
Received: 19 February 2019; Accepted: 7 November 2019;
Published: xx xx xxxx
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Acknowledgements
We would like to thank the sta at the department of radiology and rehabilitation in the Rakuwakai Otowa
Hospital. This research study was partly supported by Health and Labor Sciences Research Grants for the
Research on Intractable Diseases, Ministry of Health, Labor and Welfare, Japan (2017-Nanci-General-037). e
sponsor was not involved in the study-design, collection, analysis, and interpretation of the data, writing of the
report; and in the decision to submit the paper for publication. We don’t have any other ndings.
Author contributions
Dr. Shigeki Yamada made substantial contributions to the conception and design of the work, data acquisition,
statistical analysis, and interpretation of the data. Statistical analysis was conducted by Shigeki Yamada, who
studied biostatistics at the Department of Health and Environmental Sciences, Kyoto University School of Public
Health, from 2001 to 2004. Dr. Masatsune Ishikawa made substantial contributions to the critical revision of the
manuscript for intellectual content and supervised the study. Dr. Kazuo Yamamoto and Dr. Makoto Yamaguchi
were substantially involved in the acquisition of data and supervision of the study.
Competing interests
Shigeki Yamada received speakers’ honoraria from Integra, and Fujilm Medical Systems. Masatsune Ishikawa,
Kazuo Yamamoto and Makoto Yamaguchi declare no potential conict of interest.
Additional information
Supplementary information is available for this paper at https://doi.org/10.1038/s41598-019-53888-7.
Correspondence and requests for materials should be addressed to S.Y.
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... On the other hand, it is shown that ventricular enlargement is predominantly on the z-axis rather than the x-axis in iNPH patients [12]. A study performed by Yamada et al. showed that expansion of the lateral ventricles in the z-axis is a common parameter to distinguish NPH from Alzheimer's disease [13]. In our study, EI had poor diagnostic performance in the detection of iNPH in patients with ventriculomegaly. ...
Article
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Purpose Idiopathic normal-pressure hydrocephalus (iNPH) presents with Hakim’s triad and diagnosis is solely based on clinical findings. The role of imaging is confined to the detection of ventriculomegaly and the exclusion of other possible entities. Hyperdynamic CSF flow has been demonstrated in various flow-related imaging studies. In this study, we aimed to investigate the diagnostic performance of the “black tent” sign in the CSF flow-sensitive T2 SPACE sequence. Materials and methods This retrospective study includes 22 patients diagnosed with iNPH who underwent CSF shunting and benefited from the procedure and showed clinical recovery. The control group consisted of 38 patients with excluded diagnoses of iNPH by clinical examination and follow-up. T2 SPACE images from both groups were assessed according to the presence of the “black tent” which was defined as a signal void detected on the T2 SPACE image traced along the borders of the fourth ventricle and filling the triangular area of the median dorsal recess. The diagnostic performance of the sign was calculated, and the results were compared with those of Evan’s Index, callosal angle, and disproportionately enlarged subarachnoid spaces. Results The diagnostic performance of the black tent sign in diagnosing iNPH was determined with a sensitivity of 90.91%, specificity of 78.95%, PPV of 71.43%, NPV of 93.75%, and overall accuracy of 83.33%. The sign showed better diagnostic performance in participants over 60 years in which sensitivity, specificity, PPV, NPV, and accuracy increased to 86.67%, 93.75%, 86.67%, 99.75%, and 91.49% respectively. Diagnostic performance of the sign was superior to DESH ( p = 0.007). Conclusion The black tent sign observed in T2 SPACE images in CSF flow MRI studies correlates with the diagnosis of iNPH with high sensitivity and specificity.
... 19,20 Research on NPH has validated the importance of MEI and CPCA as diagnostic tools, and our findings confirm MEI and CPCA as key diagnostic biomarkers for adult non-NPH. [21][22][23] Although NPH and non-NPH share some radiologic markers, their clinical presentations and underlying pathophysiology differ, necessitating careful interpretation within each context. Regarding the bicaudate index, while it was among the top 10 important parameters, our study found it was not a key biomarker for diagnosing non-NPH, in accordance with Zuurbier et al. 24 In general, the differences between the results of previous studies and our findings may stem from the methodologies used. ...
Article
BACKGROUND AND OBJECTIVES Hydrocephalus involves abnormal cerebrospinal fluid accumulation in brain ventricles. Early and accurate diagnosis is crucial for timely intervention and preventing progressive neurological deterioration. The aim of this study was to identify key neuroimaging biomarkers for the diagnosis of hydrocephalus using artificial intelligence to develop practical and accurate diagnostic tools for neurosurgeons. METHODS Fifteen 1-dimensional (1-D) neuroimaging parameters and ventricular volume of adult patients with non-normal pressure hydrocephalus and healthy subjects were measured using manual image processing, and 10 morphometric indices were also calculated. The data set was analyzed using 8 machine, ensemble, and deep learning classifiers to predict hydrocephalus. SHapley Additive exPlanations (SHAP) feature importance analysis identified key neuroimaging diagnostic biomarkers. RESULTS Gradient Boosting achieved the highest performance, with an accuracy of 0.94 and an area under the curve of 0.97. SHAP analysis identified ventricular volume as the most important parameter. Given the challenges of measuring volume for clinicians, we identified key 1-D morphometric biomarkers that are easily measurable yet provide similar classifier performance. The results showed that the frontal-temporal horn ratio, modified Evan index, modified cella media index, sagittal maximum lateral ventricle height, and coronal posterior callosal angle are key 1-D diagnostic biomarkers. Notably, higher modified Evan index, modified cella media index, and sagittal maximum lateral ventricle height, and lower frontal-temporal horn ratio and coronal posterior callosal angle values were associated with hydrocephalus prediction. The results also elucidated the relationships between these key 1-D morphometric parameters and ventricular volume, providing potential diagnostic insights. CONCLUSION This study highlights the importance of a multifaceted diagnostic approach incorporating 5 easily measurable 1-D neuroimaging biomarkers for neurosurgeons to differentiate non-normal pressure hydrocephalus from healthy subjects. Incorporating our artificial intelligence model, interpreted through SHAP analysis, into routine clinical workflows may transform the diagnostic landscape for hydrocephalus by standardizing diagnosis and overcoming the limitations of visual evaluations, particularly in early stages and challenging cases.
... The authors suggested that this decline reflects stagnant CSF flow due to simultaneous ventricle and lateral sulci expansion toward the cranial apex, potentially indicative of glymphatic dysfunction affecting downstream paravascular flow. 39,[153][154][155][156] In summary, these investigations collectively suggest that IVIM metrics, notably f, offer valuable insights for assessing complex CSF motion in ventricles and subarachnoid spaces. While the pseudodiffusion coefficient, D*, theoretically provides the most direct assessment of flow velocity, it exhibits less robustness during the bi-exponential model fitting. ...
Article
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Cerebrospinal fluid (CSF) plays a critical role in metabolic waste clearance from the brain, requiring its circulation throughout various brain pathways, including the ventricular system, subarachnoid spaces, para‐arterial spaces, interstitial spaces, and para‐venous spaces. The complexity of CSF circulation has posed a challenge in obtaining noninvasive measurements of CSF dynamics. The assessment of CSF dynamics throughout its various circulatory pathways is possible using diffusion magnetic resonance imaging (MRI) with optimized sensitivity to incoherent water movement across the brain. This review presents an overview of both established and emerging diffusion MRI techniques designed to measure CSF dynamics and their potential clinical applications. The discussion offers insights into the optimization of diffusion MRI acquisition parameters to enhance the sensitivity and specificity of diffusion metrics on underlying CSF dynamics. Lastly, we emphasize the importance of cautious interpretations of diffusion‐based imaging, especially when differentiating between tissue‐ and fluid‐related changes or elucidating structural versus functional alterations.
... From our previous study using 3D T2-weighted MRI data acquired on MAGNETOM Skyra (Siemens AG, Munich, Germany) until September 2019 (Yamada et al., 2015(Yamada et al., , 2016a(Yamada et al., ,b, 2017b(Yamada et al., , 2019, 14 patients (10 Hakim patients and 4 volunteers) were included in this study. Subsequently, from our recent study (Yamada et al., 2020(Yamada et al., , 2021c(Yamada et al., , 2023a, 115 patients (26 Hakim patients and 89 volunteers) who had undergone 3D T1-weighted and T2-weighted MRIs on a Discovery MR 750 W (GE Healthcare, Milwaukee, Wisconsin, United States) from October 2019 to January 2022, and 51 participants (6 Hakim patients and 45 volunteers) on a Signa Architect 3.0 T (GE Healthcare) from February 2022 to May 2022 were enrolled in this study. ...
Article
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Background Disproportionately enlarged subarachnoid-space hydrocephalus (DESH) is a key feature for Hakim disease (idiopathic normal pressure hydrocephalus: iNPH), but subjectively evaluated. To develop automatic quantitative assessment of DESH with automatic segmentation using combined deep learning models. Methods This study included 180 participants (42 Hakim patients, 138 healthy volunteers; 78 males, 102 females). Overall, 159 three-dimensional (3D) T1-weighted and 180 T2-weighted MRIs were included. As a semantic segmentation, 3D MRIs were automatically segmented in the total ventricles, total subarachnoid space (SAS), high-convexity SAS, and Sylvian fissure and basal cistern on the 3D U-Net model. As an image classification, DESH, ventricular dilatation (VD), tightened sulci in the high convexities (THC), and Sylvian fissure dilatation (SFD) were automatically assessed on the multimodal convolutional neural network (CNN) model. For both deep learning models, 110 T1- and 130 T2-weighted MRIs were used for training, 30 T1- and 30 T2-weighted MRIs for internal validation, and the remaining 19 T1- and 20 T2-weighted MRIs for external validation. Dice score was calculated as (overlapping area) × 2/total area. Results Automatic region extraction from 3D T1- and T2-weighted MRI was accurate for the total ventricles (mean Dice scores: 0.85 and 0.83), Sylvian fissure and basal cistern (0.70 and 0.69), and high-convexity SAS (0.68 and 0.60), respectively. Automatic determination of DESH, VD, THC, and SFD from the segmented regions on the multimodal CNN model was sufficiently reliable; all of the mean softmax probability scores were exceeded by 0.95. All of the areas under the receiver-operating characteristic curves of the DESH, Venthi, and Sylhi indexes calculated by the segmented regions for detecting DESH were exceeded by 0.97. Conclusion Using 3D U-Net and a multimodal CNN, DESH was automatically detected with automatically segmented regions from 3D MRIs. Our developed diagnostic support tool can improve the precision of Hakim disease (iNPH) diagnosis.
Article
OBJECTIVE Normal pressure hydrocephalus (NPH) is a clinical syndrome of a gait disorder, cognitive impairment, and urinary incontinence that also has characteristic imaging features. This article provides an overview of the radiographic evaluation and imaging features of NPH. LATEST DEVELOPMENTS Ventriculomegaly is an overarching imaging feature of NPH, although it is nonspecific. More specific imaging features have been described in association with NPH subtypes. Patients with idiopathic NPH commonly have features of ventriculomegaly, high-convexity tight sulci, and enlarged sylvian fissures. Patients with delayed-onset congenital NPH have features of marked ventriculomegaly, without extraventricular hydrocephalus, and may have stenosis or obstruction of the cerebral aqueduct. Evaluation of CSF dynamics, patterns of radiotracer uptake on positron emission tomography (PET), and patterns of brain stiffness on MR elastography can help to differentiate idiopathic NPH from secondary NPH or a neurodegenerative process. ESSENTIAL POINTS Imaging features of disproportionately enlarged subarachnoid space hydrocephalus are important to recognize as they are part of the diagnostic criteria for idiopathic NPH and aid in differentiating NPH from a neurodegenerative process. Evaluation of CSF dynamics, patterns of fludeoxyglucose (FDG) uptake, and patterns of brain stiffness may aid in the evaluation of challenging cases that lack typical clinical and structural radiographic features.
Article
Idiopathic normal-pressure hydrocephalus (Hakim’s disease) is characterized by ventricular enlargement and disproportionately enlarged subarachnoid space hydrocephalus, leading to localized brain deformation. Differentiating regional brain volume changes in Hakim’s disease from those in Alzheimer’s disease, Hakim’s disease with Alzheimer’s disease, and mild cognitive impairment provides insights into disease-specific mechanisms. This study aimed to identify disease-specific patterns of brain volume changes in Hakim’s disease, Alzheimer’s disease, Hakim’s disease with Alzheimer’s disease, and mild cognitive impairment and compare them with those in cognitively healthy individuals using an advanced artificial intelligence-based brain segmentation tool. The study included 970 participants, comprising 52 patients with Hakim’s disease, 256 with Alzheimer’s disease, 25 with Hakim’s disease with Alzheimer’s disease, 163 with mild cognitive impairment, and 474 healthy controls. The intracranial spaces were segmented into 100 brain and 7 CSF subregions from 3D T1-weighted MRIs using brain subregion analysis. The volume ratios of these regions were compared among the groups using Glass’s Δ, referencing 400 healthy controls aged ≥50 years. Hakim’s disease exhibited significant volume reduction in the supramarginal gyrus of the parietal lobe and the paracentral gyrus of the frontal lobe. Alzheimer’s disease exhibited prominent volume loss in the hippocampus and temporal lobe, particularly in the entorhinal cortex, fusiform gyrus, and inferior temporal gyrus. Hakim’s disease with Alzheimer’s disease showed significant volume reductions in the supramarginal gyrus of the parietal lobe, similar to Hakim’s disease, whereas temporal lobe volumes were relatively preserved compared with those in Alzheimer’s disease. Patients with mild cognitive impairment aged ≥70 years had comparable regional brain volume ratios with healthy controls in the same age group. The Hakim’s disease and Hakim’s disease with Alzheimer’s disease groups were characterized by volume reductions in the frontal and parietal lobes caused by disproportionately enlarged subarachnoid space hydrocephalus-related compression compared with temporal lobe atrophy observed in the Alzheimer’s disease group. These disease-specific morphological changes highlight the need for longitudinal studies to clarify the causes of compression and atrophy.
Article
Purpose Epidemiological studies on idiopathic normal pressure hydrocephalus (iNPH) imaging markers and their normal values are scarce. This population-based study aimed to analyze several morphologic and volumetric iNPH-related imaging markers in a large sample, determining their distribution, diagnostic accuracy, suggested cut-offs, and associations with iNPH symptoms. Methods This cross-sectional study included 791 70 year olds, 40 with radiologically probable iNPH (iNPH Radiol ) and 751 without iNPH features (reference). MRI measures included Evans index (EI), z-EI, brain per ventricle ratio at anterior (BVR AC ) and posterior commissures (BVR PC ), sulcal compression, Sylvian fissure enlargement, callosal angle, diameter of temporal horns, 3 rd and 4 th ventricles, midbrain, and pons. Volumes of ventricles, corpus callosum, and brainstem were computed using automated segmentation. ROC analysis determined imaging markers’ cut-offs. Symptoms were evaluated clinically and through self-report. Results In the reference group, median values (95% CI) for imaging markers were as follows: EI: 0.27 (0.26–0.27), z-EI: 0.28 (0.26–0.31), BVR AC : 1.69 (1.48–1.90), and BVR PC : 2.66 (2.24–3.27). Most imaging markers differed significantly between iNPH Radiol and the reference. Lateral ventricle volumes correlated better with z-EI and BVR than EI (Rs > 0.81 vs 0.68). Optimal cut-off values for z-EI, and BVR AC and BVR PC for distinguishing iNPH Radiol were 0.32, 1.36, and 1.83, respectively. Clinical symptoms correlated moderately with imaging markers (Rs < 0.49 for iNPH Radiol , p < .01). Conclusions We report population-based reference values and propose cut-offs for iNPH-related imaging markers and volumetric measurements. Z-EI and BVR are likely superior markers for assessing ventricular enlargement in iNPH. Imaging markers of iNPH correlate moderately with iNPH symptoms.
Article
Background Disproportionately enlarged subarachnoid space hydrocephalus (DESH) is a key feature of Hakim’s disease (synonymous with idiopathic normal pressure hydrocephalus; iNPH). However, it previously had been only subjectively evaluated. Purpose This study aims to evaluate the usefulness of MRI indices, derived from deep learning segmentation of CSF spaces, for DESH detection and to establish their optimal thresholds. Materials and Methods This study retrospectively enrolled a total of 1009 participants, including 77 patients diagnosed with Hakim’s disease, 380 healthy volunteers, 163 with mild cognitive impairment, 256 with Alzheimer’s disease, and 217 with other types of neurodegenerative diseases. DESH, ventriculomegaly, tightened sulci in the high convexities, and Sylvian fissure dilatation were evaluated on three-dimensional T1-weighted MRI by radiologists. The total ventricles, high-convexity part of the subarachnoid space, and Sylvian fissure and basal cistern were automatically segmented using the CSF Space Analysis application (FUJIFILM Corporation). Moreover, DESH, Venthi, and Sylhi indices were calculated based on these three regions. The area under the receiver-operating characteristic curves of these indices and region volumes (volume ratios) for DESH detection were calculated. Results Of the 1009 participants, 101 (10%) presented with DESH. The DESH, Venthi, and Sylhi indices performed well with 95.0-96.0% sensitivity and 91.5-96.8% specificity at optimal thresholds. All patients with Hakim’s disease were diagnosed with DESH, despite variations in severity. In patients with Hakim’s disease, with or without Alzheimer’s disease, the DESH index and total ventricular volume were significantly higher compared to patients with Alzheimer's disease, although the total intracranial cerebrospinal fluid volume was significantly lower. Conclusion DESH, Venthi, and Sylhi indices, and the volumes and volume ratios of the ventricle and high-convexity part of the subarachnoid space computed using deep learning were useful for the DESH detection that may help to improve the diagnosis of Hakim’s disease (ie, iNPH).
Article
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Background Extensive research into cerebrospinal fluid (CSF) biomarkers was performed in patients with idiopathic normal pressure hydrocephalus (iNPH). Most prior research into CSF biomarkers has been one-point observation. Objective To investigate dynamic changes in CSF biomarkers during routine tap test in iNPH patients. Methods We analyzed CSF concentrations of tau, amyloid-β (Aβ) 42 and 40, and leucine rich α-2-glycoprotein (LRG) in 88 consecutive potential iNPH patients who received a tap test. We collected two-point lumbar CSF separately at the first 1 ml (First Drip (FD)) and at the last 1 ml (Last Drip (LD)) during the tap test and 9 patients who went on to receive ventriculo-peritoneal shunt surgery each provided 1 ml of ventricular CSF (VCSF). Results Tau concentrations were significantly elevated in LD and VCSF compared to FD (LD/FD = 1.22, p = 0.003, VCSF/FD = 2.76, p = 0.02). Conversely, Aβ42 (LD/FD = 0.80, p < 0.001, VCSF/FD = 0.38, p = 0.03) and LRG (LD/FD = 0.74, p < 0.001, VCSF/FD = 0.09, p = 0.002) concentrations were significantly reduced in LD and VCSF compared to FD. Gait responses to the tap test and changes in cognitive function in response to shunt were closely associated with LD concentrations of tau (p = 0.02) and LRG (p = 0.04), respectively. Conclusions Dynamic changes were different among the measured CSF biomarkers, suggesting that LD of CSF as sampled during the tap test reflects an aspect of VCSF contributing to the pathophysiology of iNPH and could be used to predict shunt effectiveness.
Article
Full-text available
Objective Create an automated classifier for imaging characteristics of disproportionately enlarged subarachnoid space hydrocephalus (DESH), a neuroimaging phenotype of idiopathic normal pressure hydrocephalus (iNPH). Methods 1597 patients from the Mayo Clinic Study of Aging (MCSA) were reviewed for imaging characteristics of DESH. One core feature of DESH, the presence of tightened sulci in the high-convexities (THC), was used as a surrogate for the presence of DESH as the expert clinician-defined criterion on which the classifier was trained. Anatomical MRI scans were automatically segmented for cerebrospinal fluid (CSF) and overlaid with an atlas of 123 named sulcal regions. The volume of CSF in each sulcal region was summed and normalized to total intracranial volume. Area under the receiver operating characteristic curve (AUROC) values were computed for each region individually, and these values determined feature selection for the machine learning model. Due to class imbalance in the data (72 selected scans out of 1597 total scans) adaptive synthetic sampling (a technique which generates synthetic examples based on the original data points) was used to balance the data. A support vector machine model was then trained on the regions selected. Results Using the automated classification model, we were able to classify scans for tightened sulci in the high convexities, as defined by the expert clinician, with an AUROC of about 0.99 (false negative ≈ 2%, false positive ≈ 5%). Ventricular volumes were among the classifier's most discriminative features but are not specific for DESH. The inclusion of regions outside the ventricles allowed specificity from atrophic neurodegenerative diseases that are also accompanied by ventricular enlargement. Conclusion Automated detection of tight high convexity, a key imaging feature of DESH, is possible by using support vector machine models with selected sulcal CSF volumes as features.
Article
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Background Idiopathic normal pressure hydrocephalus (iNPH) is commonly treated by cerebrospinal fluid (CSF) shunting. However, the long-term efficacy of shunt intervention in the presence of comorbid Alzheimer’s disease (AD) pathology is debated. Objective To identify AD-associated CSF biomarkers predictive of shunting surgery outcomes in patients with iNPH. Methods Preoperative levels of total and phosphorylated Tau (p-Tau) were measured in 40 patients with iNPH divided into low (<30 pg/mL) and high (≥30 pg/mL) p-Tau groups and followed up for three years after lumboperitoneal shunting. The modified Rankin Scale (mRS), Mini-Mental State Examination (MMSE), Frontal Assessment Battery, and iNPH Grading Scale scores were compared between the age-adjusted low (n = 24; mean age 75.7 years [SD 5.3]) and high (n = 11; mean age 76.0 years [SD 5.6]) p-Tau groups. Results Cognitive function improved early in the low p-Tau group and was maintained thereafter (p = 0.005). In contrast, the high p-Tau group showed a gradual decline to baseline levels by the third postoperative year (p = 0.040). Although the p-Tau concentration did not correlate with the preoperative MMSE score, a negative correlation appeared and strengthened during follow-up (R² = 0.352, p < 0.001). Furthermore, the low p-Tau group showed rapid and sustained mRS grade improvement, whereas mRS performance gradually declined in the high p-Tau group. Conclusions Preoperative CSF p-Tau concentration predicted some aspects of cognitive function after shunt intervention in patients with iNPH. The therapeutic effects of shunt treatment were shorter-lasting in patients with coexisting AD pathology.
Article
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Background and Purpose: This study aimed to investigate the efficacy of cerebrospinal fluid shunt intervention for idiopathic normal pressure hydrocephalus (iNPH) using data from a nationwide epidemiological survey in Japan. Methods: We conducted a cross-sectional study using data from a nationwide epidemiological survey performed in Japan. Propensity score matching was used to select 874 patients from 1,423 patients aged ≥60 years, who were diagnosed with iNPH based on clinical guidelines following a hospital visit in 2012. Patients who experienced an improvement of at least 1 modified Rankin Scale (mRS) grade after the intervention were classified as “improved,” while the remaining patients were classified as “non-improved.” In the shunt intervention (n = 437) and non-shunt intervention (n = 437) groups, the differences in mRS grade improvement were analyzed using the Mann-Whitney U-test. Finally, we examined subjects in the shunt intervention group (n = 974) to compare the outcomes and complications of ventriculoperitoneal (VP) shunt (n = 417) with lumboperitoneal (LP) shunt (n = 540). Results: We examined subjects with iNPH to compare the non-shunt intervention group to the shunt intervention group following adjustment for age and mRS grade at baseline by propensity score matching (0.31–0.901). The mRS grade (mean [SD]) was found to improve with non-shunt intervention (2.46 [0.88]) and shunt intervention (1.93 [0.93]) (p < 0.001) in iNPH patients. The mRS outcome score and complications comparison between the VP and LP shunt groups did not show significant difference. Conclusions: In this study, analysis of the efficacy of shunts for possible iNPH conducted in Japan indicated a significant improvement in the mRS grade between baseline and outcome within 1 year, regardless of the surgical technique, and shunt intervention was found to be effective.
Article
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Background Detection of pathological tau aggregates could facilitate clinical diagnosis of Alzheimer’s disease (AD) and monitor drug effects in clinical trials. S-[¹⁸F]THK-5117 could be a potential tracer to detect pathological tau deposits in brain. However, no previous study have correlated S-[¹⁸F]THK-5117 uptake in PET with brain biopsy verified tau pathology in vivo. Objective Here we aim to evaluate the association between cerebrospinal fluid (CSF) AD biomarkers, S-[¹⁸F]THK-5117, and [¹¹C]PIB PET against tau and amyloid lesions in brain biopsy. Methods Fourteen patients with idiopathic normal pressure hydrocephalus (iNPH) with previous shunt surgery including right frontal cortical brain biopsy and CSF Aβ1 - 42, total tau, and P-tau181 measures, underwent brain MRI, [¹¹C]PIB PET, and S-[¹⁸F]THK-5117 PET imaging. Results Seven patients had amyloid-β (Aβ, 4G8) plaques, two both Aβ and phosphorylated tau (Pτ, AT8) and one only Pτ in biopsy. As expected, increased brain biopsy Aβ was well associated with higher [¹¹C]PIB uptake in PET. However, S-[¹⁸F]THK-5117 uptake did not show any statistically significant correlation with either brain biopsy Pτ or CSF P-tau181 or total tau. Conclusions S-[¹⁸F]THK-5117 lacked clear association with neuropathologically verified tau pathology in brain biopsy probably, at least partially, due to off-target binding. Further studies with larger samples of patients with different tau tracers are urgently needed. The detection of simultaneous Aβ and tau pathology in iNPH is important since that may indicate poorer and especially shorter response for CSF shunt surgery compared with no pathology.
Article
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Background There is little knowledge about the factors influencing the long-term outcome after surgery for idiopathic normal pressure hydrocephalus (iNPH). Objective To evaluate the effects of reoperation due to complications and of vascular comorbidity (hypertension, diabetes, stroke and heart disease) on the outcome in iNPH patients, 2–6 years after shunt surgery. Methods We included 979 patients from the Swedish Hydrocephalus Quality Registry (SHQR), operated on for iNPH during 2004–2011. The patients were followed yearly by mailed questionnaires, including a self-assessed modified Rankin Scale (smRS) and a subjective comparison between their present and their preoperative health condition. The replies were grouped according to the length of follow-up after surgery. Data on clinical evaluations, vascular comorbidity, and reoperations were extracted from the SHQR. ResultsOn the smRS, 40% (38–41) of the patients were improved 2–6 years after surgery and around 60% reported their general health condition to be better than preoperatively. Reoperation did not influence the outcome after 2–6 years. The presence of vascular comorbidity had no negative impact on the outcome after 2–6 years, assessed as improvement on the smRS or subjective improvement of the health condition, except after 6 years when patients with hypertension and a history of stroke showed a less favorable development on the smRS. Conclusion This registry-based study shows no negative impact of complications and only minor effects of vascular comorbidity on the long-term outcome in iNPH.
Article
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Objective In spite of growing evidence of idiopathic normal-pressure hydrocephalus (NPH), a viewpoint about clinical care for idiopathic NPH is still controversial. A continuous divergence of viewpoints might be due to confusing classifications of idiopathic and adult-onset congenital NPH. To elucidate the classification of NPH, we propose that adult-onset congenital NPH should be explicitly distinguished from idiopathic and secondary NPH. Methods On the basis of conventional CT scan or MRI, idiopathic NPH was defined as narrow sulci at the high convexity in concurrent with enlargement of the ventricles, basal cistern and Sylvian fissure, whereas adult-onset congenital NPH was defined as huge ventricles without high-convexity tightness. We compared clinical characteristics and cerebrospinal fluid distribution among 85 patients diagnosed with idiopathic NPH, 17 patients with secondary NPH, and 7 patients with adult-onset congenital NPH. All patients underwent 3-T MRI examinations and tap-tests. The volumes of ventricles and subarachnoid spaces were measured using a 3D workstation based on T2-weighted 3D sequences. Results The mean intracranial volume for the patients with adult-onset congenital NPH was almost 100 mL larger than the volumes for patients with idiopathic and secondary NPH. Compared with the patients with idiopathic or secondary NPH, patients with adult-onset congenital NPH exhibited larger ventricles but normal sized subarachnoid spaces. The mean volume ratio of the high-convexity subarachnoid space was significantly less in idiopathic NPH than in adult-onset congenital NPH, whereas the mean volume ratio of the basal cistern and Sylvian fissure in idiopathic NPH was >2 times larger than that in adult-onset congenital NPH. The symptoms of gait disturbance, cognitive impairment, and urinary incontinence in patients with adult-onset congenital NPH tended to progress more slowly compared to their progress in patients with idiopathic NPH. Conclusion Cerebrospinal fluid distributions and disease progression were significantly different among the patients with adult-onset congenital NPH, idiopathic NPH and secondary NPH. This finding indicates that the pathogenesis of adult-onset congenital NPH may differ from those of idiopathic and secondary NPH. Therefore, adult-onset congenital NPH should be definitively distinguished from the categories of idiopathic and secondary NPH.
Article
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Background: Freehand ventricular catheter placement may represent limited accuracy for the surgeon's intent to achieve primary optimal catheter position. Objective: To investigate the accuracy of a ventricular catheter guide assisted by a simple mobile health application (mhealth app) in a multicenter, randomized, controlled, simple blinded study (GAVCA study). Methods: In total, 139 eligible patients were enrolled in 9 centers. Catheter placement was evaluated by 3 different components: number of ventricular cannulation attempts, a grading scale, and the anatomical position of the catheter tip. The primary endpoint was the rate of primary cannulation of grade I catheter position in the ipsilateral ventricle. The secondary endpoints were rate of intraventricular position of the catheter's perforations, early ventricular catheter failure, and complications. Results: The primary endpoint was reached in 70% of the guided group vs 56.5% (freehand group; odds ratio 1.79, 95% confidence interval 0.89-3.61). The primary successful puncture rate was 100% vs 91.3% ( P = .012). Catheter perforations were located completely inside the ventricle in 81.4% (guided group) and 65.2% (freehand group; odds ratio 2.34, 95% confidence interval 1.07-5.1). No differences occurred in early ventricular catheter failure, complication rate, duration of surgery, or hospital stay. Conclusion: The guided ventricular catheter application proved to be a safe and simple method. The primary endpoint revealed a nonsignificant improvement of optimal catheter placement among the groups. Long-term follow-up is necessary in order to evaluate differences in catheter survival among shunted patients.
Article
BACKGROUND Freehand ventricular catheter placement has been reported to have poor accuracy. OBJECTIVE To investigate whether preoperative computational simulation using diagnostic images improves the accuracy of ventricular catheter placement. METHODS This study included 113 consecutive patients with normal-pressure hydrocephalus (NPH), who underwent ventriculoperitoneal shunting via a parieto-occipital approach. The locations of the ventricular catheter placement in the last 48 patients with preoperative virtual simulation on the 3-dimensional workstation were compared with those in the initial 65 patients without simulation. Catheter locations were classified into 3 categories: optimal, suboptimal, and poor placements. Additionally, slip angles were measured between the ventricular catheter and optimal direction. RESULTS All patients with preoperative simulations had optimally placed ventricular catheters; the mean slip angle for this group was 2.8°. Among the 65 patients without simulations, 46 (70.8%) had optimal placement, whereas 10 (15.4%) and 9 (13.8%) had suboptimal and poor placements, respectively; the mean slip angle for the nonsimulation group was 8.6°. The slip angles for all patients in the preoperative simulation group were within 7°, whereas those for 31 (47.7%) and 10 (15.4%) patients in the nonsimulation group were within 7° and over 14°, respectively. All patients with preoperative simulations experienced improved symptoms and did not require shunt revision during the follow-up period, whereas 5 patients (7.7%) without preoperative simulations required shunt revisions for different reasons. CONCLUSION Preoperative simulation facilitates accurate placement of ventricular catheters via a parieto-occipital approach. Minimally invasive and precise shunt catheter placement is particularly desirable for elderly patients with NPH.
Article
OBJECTIVE Postoperative decrease in ventricle size is usually not detectable either by visual assessment or by measuring the Evans index in patients with idiopathic normal pressure hydrocephalus (iNPH). The aim of the present study was to investigate whether the angle between the lateral ventricles (the callosal angle [CA]) increases and ventricular volume decreases after shunt surgery in patients with iNPH. METHODS Magnetic resonance imaging of the brain was performed before and 3 months after shunt surgery in 18 patients with iNPH. The CA and Evans index were measured on T1-weighted 3D MR images, and ventricular volume contralateral to the shunt valve was measured with quantitative MRI. RESULTS The CA was larger postoperatively (mean 78°, 95% CI 69°–87°) than preoperatively (mean 67°, 95% CI 60°–73°; p < 0.001). The volume of the lateral ventricle contralateral to the shunt valve decreased from 73 ml (95% CI 66–80 ml) preoperatively to 63 ml (95% CI 54–72 ml) postoperatively (p < 0.001). The Evans index was 0.365 (95% CI 0.35–0.38) preoperatively and 0.358 (95% CI 0.34–0.38) postoperatively (p < 0.05). Postoperative change of CA showed a negative correlation with change of ventricular volume (r = −0.76, p < 0.01). CONCLUSIONS In this sample of patients with iNPH, the CA increased and ventricular volume decreased after shunt surgery. The relative difference was most pronounced for the CA, indicating that this accessible, noninvasive radiological marker should be evaluated further as an indirect method to determine shunt function in patients with iNPH.