ArticlePDF Available

Internal motion of the vagina after hysterectomy for gynaecological cancer

Authors:

Abstract and Figures

The purpose of this study was to investigate position changes of the vagina after hysterectomy for early stage cervical or endometrial cancer and their impact on CTV-PTV margins. We also studied their correlation with surrounding organ filling. Fifteen patients underwent T2-weighted MR scans before and weekly during the course of their EBRT. The vaginal CTVs and the surrounding organs were delineated. PTV margins were derived from the boundaries of the CTVs in the main directions and correlated with changes in the volumes of organs at risk. Additionally we investigated the impact of margin sizes on CTV coverage. The vaginal CTVs change their position in the pelvis during time with a maximum in anterior-posterior direction. The 95% confidence level was 2.3 cm into the anterior or posterior direction, 1.8 cm to left or right and 1.5 cm towards the cranial. With a homogenous 1.5 cm CTV-PTV margin ≥5% inadequately covered vaginal CTV was seen in only 3.3% of the measurements. This increased to 20.6% with a margin of 1.0 cm. Concerning the impact of organ filling on vaginal position changes we found the only significant correlation with rectal volume and shift of the vagina towards anterior-posterior. To accommodate the changes in the position of the vaginal CTV inhomogeneous PTV margins should be generated with the largest size in the anterior-posterior direction. The position shifts were only weakly related to the volume of the rectum and not at all to the volumes of other parts of the bowel and the bladder.
Content may be subject to copyright.
Gynaecological radiotherapy
Internal motion of the vagina after hysterectomy for gynaecological cancer
Ina M. Jürgenliemk-Schulz
a,
, Malgorzata Z. Toet-Bosma
a
, Gérard A.P. de Kort
b
, Henk W.R. Schreuder
c
,
Judith M. Roesink
a
, Robbert J.H.A. Tersteeg
a
, Uulke A. van der Heide
a
a
Department of Radiation Oncology;
b
Department of Radiology; and
c
Department of Gynaecologic Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
article info
Article history:
Received 24 December 2009
Received in revised form 20 October 2010
Accepted 26 October 2010
Available online 13 December 2010
Keywords:
Gynaecological cancer
Post-operative margins
Organ motion
MRI
abstract
Background and purpose: The purpose of this study was to investigate position changes of the vagina after
hysterectomy for early stage cervical or endometrial cancer and their impact on CTV–PTV margins. We
also studied their correlation with surrounding organ filling.
Materials and methods: Fifteen patients underwent T2-weighted MR scans before and weekly during the
course of their EBRT. The vaginal CTVs and the surrounding organs were delineated. PTV margins were
derived from the boundaries of the CTVs in the main directions and correlated with changes in the vol-
umes of organs at risk. Additionally we investigated the impact of margin sizes on CTV coverage.
Results: The vaginal CTVs change their position in the pelvis during time with a maximum in anterior–pos-
terior direction. The 95% confidence level was 2.3 cm into the anterior or posterior direction, 1.8 cm to left
or right and 1.5 cm towards the cranial. With a homogenous 1.5 cm CTV–PTV margin P5% inadequately
covered vaginal CTV was seen in only 3.3% of the measurements. This increased to 20.6% with a margin
of 1.0 cm. Concerning the impact of organ filling on vaginal position changes we found the only significant
correlation with rectal volume and shift of the vagina towards anterior–posterior.
Conclusion: To accommodate the changes in the position of the vaginal CTV inhomogeneous PTV margins
should be generated with the largest size in the anterior–posterior direction. The position shifts were only
weakly related to the volume of the rectum and not at all to the volumes of other parts of the bowel and the
bladder.
Ó2010 Elsevier Ireland Ltd. All rights reserved. Radiotherapy and Oncology 98 (2011) 244–248
Treatment of choice for endometrial cancer and early stage cer-
vical cancer is surgery, often consisting of hysterectomy. In the
case of adverse prognostic factors for local or loco-regional recur-
rence, surgery is followed by radiotherapy (RT) or chemoradiation
in order to increase control rates and outcome [1–4]. In the case of
adverse prognostic factors like parametrial infiltration, pelvic node
pathology or lymph-vascular space involvement, external beam
radiotherapy (EBRT) is often preferred over vaginal brachytherapy
[1]. Conventionally, EBRT is delivered by large treatment portals
encompassing parts of the vagina and the draining lymphatics, as
well as the organs at risk located in the pelvis. Control rates are
acceptable with these techniques but treatment related toxicity
Pgrade 3 (3–25%) is not negligible [1,5–9]. With the development
of image guidance and treatment planning technology in RT, more
conformal treatment portals can be produced. Especially multileaf
collimators and intensity modulated radiotherapy (IMRT) tech-
niques allow dose tailoring to the defined target volume with the
potential to spare the surrounding organs and to increase the tar-
get dose [10–19].
However, in the case of a highly conformal treatment set up
precise information on the position changes of the RT target during
the course of the treatment is mandatory [20–26]. A pitfall in this
respect can be internal target motion induced by variations in in-
tra-abdominal organ filling. For advanced stage cervical cancer,
primarily treated with (chemo)radiation, target position changes
during the course of the treatment and their impact on treatment
margins have been investigated [21–23].
The purpose of this study was to investigate position changes of
the vagina after hysterectomy for early stage cervical or endome-
trial cancer and their impact on CTV–PTV margins. We also studied
their correlation with surrounding organ filling.
Materials and methods
Fifteen patients with gynaecological cancer, treated at our
department between March 2007 and September 2007, were en-
rolled in the study. Thirteen patients had cancers originating from
the uterine corpus and two patients had cervical cancer. Staging
was performed according to the International Federation of Gyne-
cology and Obstetrics (FIGO) classification [27]. All patients had
FIGO stage I disease.
0167-8140/$ - see front matter Ó2010 Elsevier Ireland Ltd. All rights reserved.
doi:10.1016/j.radonc.2010.10.026
Corresponding author. Address: Department of Radiation Oncology, University
Medical Center Utrecht, Heidelberglaan 100, 3548 CX Utrecht, The Netherlands.
E-mail address: i.m.schulz@umcutrecht.nl (I.M. Jürgenliemk-Schulz).
Radiotherapy and Oncology 98 (2011) 244–248
Contents lists available at ScienceDirect
Radiotherapy and Oncology
journal homepage: www.thegreenjournal.com
In accordance with our treatment protocol patients were trea-
ted conventionally with 3–4 treatment fields (bilateral portals
combined with either AP/PA fields or one single PA field) to a total
of 46 Gy in 23 fractions of 2 Gy, irradiating the proximal part of the
vagina (vaginal clinical target volume CTV)), the parametria and
the draining lymphatics (up to the level of L5/S1). Patients were
treated in prone position. To prevent any rotation of the hip, a knee
cushion for alignment of the legs was used in each fraction. No fur-
ther immobilization devices were used. No special measures were
taken to minimize the variation in rectum and bladder filling.
Each patient underwent a CT scan (CT aura, Philips Medical Sys-
tems, Best, The Netherlands). Contiguous 3 mm slices were made
from the iliac crest to the ischial tuberosities. In order to accurately
delineate the regions of interest, MR images were made using a
1.5T MRI scanner (Gyroscan NT Intera, Philips Medical Systems,
Best, The Netherlands). Patients were scanned in the treatment po-
sition, using a flat tabletop insert. Because of its superior soft-tis-
sue contrast, MRI was used to delineate the target volumes as
well as organs at risk (OAR). All 15 patients underwent MR imaging
before treatment and weekly during EBRT. The first week MRI was
performed after about 10 Gy, the second week MRI after about
20 Gy, third week MRI after about 30 Gy and the fourth week
MRI after about 40 Gy. Images were acquired using a Synbody coil
according to the following protocol: axial Proton Density images
(TE 20 ms, TR 1960 ms) with 6.6 mm thick slices of the whole
abdomen and pelvis; axial, sagittal and coronal T2-weighted
images (TE 100 ms, TR 3000 ms), with 4.5 mm thick slices from
the body of L5 to the ischial tuberosities. The images were taken
without additional vaginal markers, contrast agents or vaginal
fillings.
We used the planning CT scan as the frame of reference for the
MRI data sets of all time points. Therefore, we registered the MRI
data sets to the CT scan using a mutual information-matching algo-
rithm (VTK CISG Registration Toolkit, Kitware, York). While the ori-
ginal MRI datasets were used, we extracted a dataset containing
only the bony anatomy obtained from the CT using a threshold
algorithm. This dataset was used so that the bony anatomy of
the CT and each of the five MRI datasets could be matched. Struc-
tures contoured on the five MR images were transferred to the CT
or MRI coordinate frame using the transformation and image fu-
sion functionality available in our in-house developed contouring
software package Volume tool [31]. In an earlier study, we showed
that the registration accuracy was on average 1.0–1.4 mm [22]. The
analysis of the internal motion was carried out using the five sets
of delineations overlayed on the CT scan. For display purposes
the delineations were overlayed on the pre-treatment MRI scan.
A radiation oncologist delineated the outer contour of the prox-
imal vagina (vaginal CTV) on the T2-weighted pre-treatment and
first to fourth week MR images (Fig. 1). The vaginal CT as contoured
here is part of the total post-operative CTV. Parametria, surgical
bed and draining lymphatics are not part of this investigation. Con-
touring was performed on the axially sliced datasets using also the
information of the sagittal and coronal images to define the exten-
sion of the vagina wall in 3 dimensions. In clinical practice the vag-
inal CTV is defined as vaginal vault and proximal vagina. Depiction
of the lower vagina and especially the introitus without using
intravaginal contrast is difficult on MRI. We, therefore, set the cau-
dal border of the vaginal volume to the cranial border of the ramus
inferior of the Os pubis. This bony reference is used as an indicator
for the inferior treatment field border in our clinical practice. A
radiologist specialized in gynaecologic
oncology and a gynaecologic oncologist reviewed the delin-
eated vaginal CTVs. The following critical organs were delineated
using the outer organ wall: bladder, rectum, sigmoid and bowel
(bowel up to the level of the aorta bifurcation). Vaginal volumes
were calculated for 14 patients, one case was excluded because
of persisting haematoma.
We have chosen a relatively simple and pragmatic approach to
analyze the vaginal position changes, along the lines of Van de
Bunt et al. [22]: for each of the four weekly MRI scans an inhomo-
geneous margin was generated around the pre-treatment CTV
encompassing the boundaries of the weekly CTV in the six main
directions (anterior, posterior, left lateral, right lateral, superior
and inferior) (Fig. 1). A consequence of this approach is that a mar-
gin of zero in a given direction does not imply the absence of a
shift, but that the boundary of the new volume lies inside the
pre-treatment volume.
We used the margin sizes derived for the weekly MRI scans as a
surrogate for the shift of the target to assess the impact of variation
in organ-filling. To this end a margin in the posterior (P) direction
is interpreted as positive, in the anterior (A) direction as negative.
Similarly left lateral (L) is positive, right lateral (R) negative and
cranial positive (S). As the caudal margin was related to the bony
anatomy of the pelvis in all the cases we considered the margin
to be zero in this direction. Points with a margin equal to zero
are removed from this analysis because the value of zero only
means that the new structure fell within the pre-treatment
structure.
A paired t-test was used to compute the differences in vaginal
volume between the MRI scans taken in different weeks. A least
square linear regression is performed to study the correlation be-
tween margin sizes and change in rectum, sigmoid, and bladder
volume.
Results
Vaginal and OAR volumes
Post-operative vaginal volumes were easily depicted on the T2
weighted MRI scans before and during radiotherapy and were cal-
culated for 14 patients and five moments. The calculated 70 vol-
umes appeared to be quite comparable with on average 24.9 cm
3
(SD 7.6). We did not see significant changes during the course of
treatment with on average 23.6, 24.4, 26.0, 24.3 and 23.3 cm
3
be-
fore treatment and in week 1, 2, 3 and 4, respectively. One of the
15 patients was excluded from this analysis because of post-oper-
ative haematoma in the vagina vault and an initial vaginal volume
of 98 cm
3
, which is about 4 times the volume that we saw in the
other patients (Fig. 2C). For calculated volumes of rectum, sigmoid
and bladder we noticed a decrease from pre-treatment on average
106.7, 142.0 and 153.6 cm
3
to 50.9, 99.6 and 115.3 cm
3
in week 4.
Treatment margins
The impact of vaginal shifts on the coverage of the vaginal vol-
ume is depending on the chosen treatment margins. In order to
Fig. 1. (A) Transversal view of the pre-treatment vaginal CTV (red) and four CTVs at
later time points. The generic PTV, which encloses the pre-treatment en all intra-
treatment CTVs is indicated in yellow; (B) analogous for the sagittal direction.
I.M. Jürgenliemk-Schulz et al. / Radiotherapy and Oncology 98 (2011) 244–248 245
determine these margins we used the 4 intra-treatment MRIs for
all 15 cases. Around each of the pre-treatment vaginal CTVs inho-
mogeneous margins were derived to accommodate the changes in
the position of the vaginal CTVs and to generate the PTVs on the
weekly MRI scans (Fig. 1). This results in 60 margin sizes in the
anterior–posterior, left and right lateral, and cranial directions. In
these margin sizes the influence of internal organ motion as well
as variations in vaginal shape is included. Generic margin sizes that
allow complete coverage of 90% and 95% of the vaginal volumes
are within the ranges of 1.9–1.1 cm and 2.3–1.5 cm, respectively,
and most pronounced in the anterior–posterior direction (2.3 and
1.9 cm anterior–posterior, 1.8 and 1.1 cm left and right and
1.5 cm cranial).
With homogenous CTV–PTV margins of 1.0 and 1.5 cm, as of-
ten used in clinical practice, we found that vaginal volumes were
not completely covered in 53.3% (32 of 60) and 20.0% (12 of 60)
of the intra-treatment situations, respectively. With a margin of
1.0 cm there was quite some amount of vaginal volume that was
covered inadequately, up to 5% in 31.7% (19 of 60) of the
measurements, more than 5% in 20.6% (13 of 60), respectively
(Fig. 3). With a margin of 1.5 cm in all directions the amount
of inadequately covered volume was lower, up to 5% in 16.7%
(10 of 60) of the measurements, more than 5% in only 3.3% (2
of 60), respectively.
Impact of organ filling
Concerning the relation between organ filling and vaginal shifts
we found no correlation with changes in bladder, sigmoid and bo-
wel volumes. The only significant (p< 0.001) but weak correlation
(correlation coefficient 0.44) was observed between variations in
rectum filling and vaginal motion towards anterior or posterior
(Fig. 4). We noticed a trend towards decreased rectal filling over
time resulting in a volume reduction from pre-treatment
Fig. 2. Changes in volume and position of vaginal CTVs (green contours), T2 weighted sagittal MRI before and in the last week of treatment. (A) Stable volume, no vaginal
motion, despite changes in rectum and bladder filling. (B) Vaginal motion and deformation due to changes in organ filling. (C) Substantial volume reduction due to resorption
of post-operative haematoma.
0
10
20
30
40
50
60
0102030
% Vaginal CTV outside PTV
Frequency
10mm
15mm
Fig. 3. Influence of clinically accepted CTV–PTV margins on percentage of vaginal
CTV coverage.
-3
-2
-1
0
1
2
3
4
5
-200 -150 -100 -50 0 50 100
volume change rectum [cm3]
ant-post shift vagina [cm]
post
ant
Fig. 4. Correlation of rectal volume changes and vaginal shifts. Point 0 indicates
rectal volume and vagina position on the pre-treatment MRI. With decreasing rectal
volumes there is a trend towards larger shifts into the dorsal direction. Abbrevi-
ations: post = posterior, ant = anterior.
246 Internal motion of the vagina after hysterectomy for gynaecological cancer
106.7 cm
3
(SD 45.0) to 50.9 cm
3
(SD 20.9). As indicated in Fig. 2B
vaginal volumes, and mainly their cranial part, tend to move into
the posterior direction if the rectal volume decreases. The required
CTV–PTV margins into the posterior direction from pre-treatment
to week 1, week 2, week 3 and week 4 were on average 1.0 cm
(SD 0.8), 1.3 cm (SD 0.9), 1.1 cm (SD 0.8), 1.5 cm (SD 1.0), respec-
tively. There were no significant relations between organ filling
and vaginal shifts towards left–right or cranial (correlation coeffi-
cients between 0.25 and 0.03).
Discussion
For patients with cervical or endometrial cancer, post-operative
EBRT of the pelvic region is often part of their curatively intended
treatment [1–3]. The beneficial effect on tumour control, however,
has to be balanced against EBRT related side effects, mainly on
bladder and bowel (large and small) [5–9]. Modern radiotherapy
techniques, such as IMRT, offer more conformality with potential
in either dose escalation or organ at risk sparing. However, the
more conformal treatment portals are the more precise the dose
is tailored to the target volume, the better one has to be informed
about volume or position changes of the target during the course of
the treatment. In post-operative radiotherapy for cervical or endo-
metrial cancer risk reduction on tumour recurrence in the vagina is
one of the intentions. The proximal part of the vagina is defined as
CTV and needs to be identified for treatment planning purposes.
MR images are preferable over CT scans in the case of gynaecolog-
ical cancers [28–30] and we, therefore, used MR images for con-
touring purposes. The vaginal volumes as calculated from the
delineations on T2 weighted scans were overall comparable and
stable on the weekly MRI’s with small standard deviations. We no-
ticed one exceptional case of post-operative haematoma in which
MRI provided additional information for the clinical treatment
planning. The dimension of this haematoma would have been
underestimated without image guidance (Fig. 2C).
But precise information about the shape and extension of the
treatment target before starting highly conformal radiotherapy is
not enough. Information on position changes during the course
of the treatment is also needed. On the one hand, as indicated in
Fig. 1B, the shape of the vaginal CTV can vary over time with some
deformations especially in the region of the vagina vault. On the
other hand the vagina (and especially the vault) moves within
the pelvis during the course of EBRT. A CTV–PTV margin of
2.3 cm towards anterior–posterior would allow complete vaginal
coverage in 95% of the operated and non-operated cases. These
shifts are in the same order of magnitude as the position changes
of the CTVs when the primary tumour is still in situ. For primary
cervical cancers we are informed in this respect by studies from
Chan et al. [21], Van de Bunt et al. [22] en Taylor et al. [23], which
show that essential changes in target positions occur during the
course of radiotherapy. The magnitude of the primary CTV shifts
lie in the order of 1–2.5 cm with variations into the different direc-
tions and maximum towards anterior–posterior. Based on a study
of Kerkhoff et al. [32] it can even be expected that position changes
occur within a single EBRT fraction. In order to investigate which
margins might accommodate the post-operative vaginal position
changes we used the approach as described by van de Bunt et al.
[22]. This approach is easily applicable in the commercially avail-
able planning software. More advanced methods that allow adap-
tive individualisation for deformable treatment targets are
published by Wright et al. [33] and Redpath and Muren [34].
Additional to the directions and magnitude of the vaginal CTVs
shifts, we investigated their relation to the filling status of the sur-
rounding organs. Only in case of the rectum we found a significant
although weak correlation between CTV shift and organ volume.
The smaller the rectal volume was the more pronounced was the
shift towards posterior. A weak correlation between target volume
shifts and rectal volume changes is also documented by van de
Bunt et al. [22]. In contrary, for prostate, a strong relation is found
between target volume position and rectal volume changes [35].
The difference between a strong and weak correlation might be
due to the limited number of patients that have been investigated
in our study. We found no correlation between bladder, sigmoid or
bowel filling and the position of the vagina in the pelvis. This might
be due to the fact that the complex movements and volume
changes of these organs are related to each other. In the example
in Fig. 2A the bladder filling has increased between the two mo-
ments of investigation. The bowel loops have shifted and the rec-
tum filling has changed, but in the end the vaginal CTV stays in
the same place. In Fig. 2B, however, all the differences in organ fill-
ing and position changes shift the vagina top towards posterior.
These findings help to understand that the measures that are taken
to control bladder or rectum fillings do not necessarily reduce po-
sition shifts of the radiation targets in the small pelvis in all pa-
tients in the same way and do not necessarily allow a safe
reduction of treatment margins.
Given herein the presented magnitude of the vaginal shifts one
can expect that clinically accepted CTV–PTV generic margins of
about 1.0 cm without reliable position verification measures might
be too small for an adequate irradiation of the CTVs. And indeed,
with 1.0 cm in all directions we found more than 5% of the CTV ly-
ing outside the PTV in 20.6% of the measurements. With a margin
of 1.5 cm the situation was improved with only at two moments
more that 5% of the CTV was inadequately covered. In how far this
lack of coverage might have impact on the tumour control proba-
bility has not been investigated in this study. It anyhow indicates
the need for appropriate position verification procedures during
the course of treatment to reduce a possible risk, especially when
highly conformal treatment techniques are used.
Conclusion
In gynaecological patients after hysterectomy we found sub-
stantial position shifts of the proximal part of the vagina on five
consecutive MRIs during the course of post-operative radiother-
apy. These shifts were only weakly related to rectal volume and
not at all to the volumes of other parts of the bowel and the blad-
der. To accommodate the position changes of the vaginal CTV inho-
mogeneous PTV margins should be generated with a maximum in
the anterior–posterior directions.
Conflict of interest statement
No conflict of interest exists for the work presented here.
References
[1] Creutzberg CL, van Putten WLJ, Koper PC, et al. Surgery and postoperative
radiotherapy versus surgery alone for patients with stage-1 endometrial
carcinoma: multicentre randomised trial. Lancet 2000;335:1404–11.
[2] Snijders-Keilholz A, Hellebrekers BWJ, Zwinderman AH, et al. Adjuvant
radiotherapy following radical hysterectomy for patients with early-stage
cervical carcinoma (1984–1996). Radiother Oncol 1999;51:161–7.
[3] Pieterse QD, Trimbos JBMZ, Dijkman A, Creutzberg CL, et al. Postoperative
radiation therapy improves prognosis in patients with adverse risk factors in
localized, early-stage cervical cancer: a retrospective comparative study. Int J
Gynecol Cancer 2006;16:1112–8.
[4] Peters 3rd WA, Lui PY, Barrett 2nd RJ, et al. Concurrent chemotherapy and
pelvic radiation therapy compared with pelvic radiation therapy alone as
adjuvant therapy after radical surgery in high-risk early-stage cancer of the
cervix. J Clin Oncol 2000;18:1606–13.
[5] Creutzberg CL, van Putten WLJ, Koper PC, et al. The morbidity of treatment for
patients with stage I endometrial cancer: results from a randomised trial. Int J
Radiat Oncol Biol Phys 2001;51:246–1255.
I.M. Jürgenliemk-Schulz et al. / Radiotherapy and Oncology 98 (2011) 244–248 247
[6] Roeske JC, Mundt AJ, Halpern H, et al. Late rectal sequelae following definitive
radiation therapy for carcinoma of the uterine cervix: a dosimetric analysis. Int
J Radiat Oncol Biol Phys 1997;37:351–8.
[7] Chassagne D, Sismondi P, Horiot JC, et al. A glossary for reporting
complications of treatment in gynecological cancers. Radiother Oncol
1993;26:195–202.
[8] Wang CJ, Leung SW, Chen HC, et al. The correlation of acute toxicity and late
rectal injury in radiotherapy for cervical carcinoma: evidence suggestive of
consequential late effect (CQLE). Int J Radiat Oncol Biol Phys 1998;40:
85–91.
[9] Nout RA, Putter H, Jürgenliemk-Schulz IM, Jobsen JJ, et al. Quality of life
after pelvic radiotherapy or vaginal brachytherapy for endometrial cancer:
first results of the randomized PORTEC-2 trial. J Clin Oncol 2009;27:
3547–56.
[10] Ahamad A, D’ Souza W, Salehpour M, et al. Intensity-modulated radiation
therapy after hysterectomy: comparison with conventional treatment and
sensitivity of the normal-tissue-sparring effect to margin size. Int J Radiat
Oncol Biol Phys 2005;62:1117–24.
[11] Heron DE, Gerszten K, Selvaraj RN, et al. Conventional 3D conformal versus
intensity-modulated radiotherapy for the adjuvant treatment of gynecologic
malignancies: a comparative dosimetric study of dose-volume histograms.
Gynecol Oncol 2003;91:39–45.
[12] D’Souza WD, Ahamad AA, Revathy BI, et al. Feasibility of dose escalation using-
intensity-modulated radiotherapy in posthysterectomy cervical carcinoma. Int
J Radiat Oncol Biol Phys 2005;61:1062–70.
[13] Portelance L, Clifford Chao KS, Grigsby PW, et al. Intensity-modulated
radiation therapy (IMRT) reduces small bowel, rectum and bladder doses in
patients with cervical cancer receiving pelvic and para-aortic irradiation. Int J
Radiat Oncol Biol Phys 2001;51:261–6.
[14] Van de Bunt L, van der Heide UA, Ketelaars M, et al. Conventional, conformal,
and intensity-modulated radiation therapy treatment planning of external
beam radiotherapy for cervical cancer: the impact of tumour regression. Int J
Radiat Oncol Biol Phys 2006;64:189–96.
[15] Lujan AE, Mundt AJ, Yamada DS, et al. Intensity modulated radiotherapy
as a means of reducing dose to bone marrow in gynecologic patients
receiving whole pelvic radiotherapy. Int J Radiat Oncol Biol Phys 2003;57:
516–21.
[16] Roeske JC, Lujan A, Rotmensch J, Waggoner SE, Yamada D, Mundt AJ. Intensity-
modulated whole pelvic radiation therapy in patients with gynecologic
malignancies. Int J Radiat Oncol Biol Phys 2000;48:1613–21.
[17] Mundt AJ, Roeske JC, Lujan AE, et al. Initial clinical experience with intensity-
modulated whole-pelvis radiation therapy in women with gynecologic
malignancies. Gynecol Oncol 2001;82:456–63.
[18] Mundt AJ, Lujan AE, Rothmensch J, et al. Intensity-modulated whole pelvic
radiotherapy in women with gynecologic malignancies. Int J Radiat Oncol Biol
Phys 2002;52:1330–7.
[19] Mundt AJ, Roeske JC, Lujan AE, et al. Intensity-modulated radiation therapy in
gynecologic malignancies. Med Dosim 2002;27:131–6.
[20] Haslam JJ, Lujan AE, Mundt AJ, Bonta DV, Roeske JC. Set-up errors in patients
treated with intensity-modulated whole pelvic radiation therapy for
gynecological malignancies. Med Dosim 2005;30:36–42.
[21] Chan P, Milosevic M, Fyles A, et al. Intrafractional movement of the uterus and
cervix in patients with cervix cancer receiving radiotherapy: an MRI-based
point-of-interest (POI) analysis. Proceedings of the 46th annual ASTRO
meeting. 2004; S305.
[22] van de Bunt L, Jürgenliemk-Schulz IM, de Kort GA, et al. Motion and
deformation of the target volumes during IMRT for cervical cancer: what
margins do we need? Radiother Oncol 2008;88:233–40.
[23] Taylor A, Powell ME. An assessment of interfractional uterine and cervical
motion: implications for radiotherapy target volume definition in
gynaecological cancer. Radiother Oncol 2008;88:50–7.
[24] Buchali A, Koswig S, Dinges S, et al. Impact of the filling status of the bladder
and rectum on their integral dose distribution and the movement of the uterus
in the treatment planning of gynaecological cancer. Radiother Oncol
1999;52:29–34.
[25] Han Y, Shin EH, Huh SJ, et al. Interfractional dose variation during intensity-
modulated radiation therapy for cervical cancer assessed by weekly CT
evaluation. Int J Radiat Oncol Biol Phys 2006;65:617–723.
[26] Yan D, Ziaja E, Jaffray D, et al. The use of adaptive radiation therapy to reduce
setup error: a prospective clinical study. Int J Radiat Oncol Biol Phys
1998;41:715–20.
[27] Benedet JL, Bender H, Jones III H, et al. FIGO staging classifications and clinical
practice guidelines in the management of gynecologic cancers. Int J Radiat
Oncol Biol Phys 2000;70:175–7.
[28] Thomas L, Chacon B, Kind M, et al. Magnetic resonance imaging in the treatment
planning of radiation therapy in carcinoma of the cervix treated with the four
field pelvic technique. Int J Radiat Oncol Biol Phys 1997;37:827–32.
[29] Mayr NA, Tali NE, Yuh WT, et al. Cervical cancer: application of MR imaging in
radiation therapy. Radiology 1993;2:601–8.
[30] Barillo I, Reynaud-Bougnoux A. The use of MRI in planning radiotherapy for
gynaecological tumours. Cancer Imaging 2006;6:100–6.
[31] Bol GH, Kotte AN, van der Heide UA, et al. Simultaneous multi-modality ROI
delineation in clinical practice. Comput Methods Programs Biomed
2009;96:133–40.
[32] Kerkhof EM, van der Put RW, Raaymakers BW, et al. Intrafraction motion in
patients with cervical cancer: The benefit of soft tissue registration using MRI.
Radiother Oncol 2009;93:115–21.
[33] Wright P, Redpath AT, Hoyer M, et al. A method to individualize adaptive
treatment target volumes for deformable targets. Phys Med Biol
2009;54:7121–33.
[34] Redpath AT, Muren LP. An optimisation algorithm for determination of
treatment margins around moving and deformable targets. Radiother Oncol
2005;77:194–201.
[35] van Herk M, Bruce A, Kroes APG, et al. Quantification of organ motion during
conformal radiotherapy of the prostate by three dimensional image
registration. Int J Radiat Oncol Biol Phys 1995;33:1311–20.
248 Internal motion of the vagina after hysterectomy for gynaecological cancer
... Rigid approximation has been studied to assess target motion, often with fiducial or centre of mass measurement. Internal margins are then calculated based on recipes that assume these structures are rigid [8][9][10][11][12][13][14][15]. Non-rigid or deformable image registration (DIR) can account for motion at each point within a defined structure, potentially providing a better representation of changing geometry compared to rigid methods. ...
... Anterior/posterior target motion was moderately correlated with RV change relative to pCT for both motion assessment strategies, but correlation was stronger for the nonrigid data. This compares to other studies using rigid registration, which have only shown weak correlation between anterior/posterior target motion and RV change [8,20]. ...
... Extent and variability in target CTVv motion was largest in the anterior/posterior direction with displacements of up to 30 mm observed. This is consistent with other published studies [8][9][10]12]. ...
Article
Full-text available
Background and purpose Appropriate internal margins are essential to avoid a geographical miss in intensity-modulated radiation therapy (IMRT) for endometrial cancer (EC). This study evaluated interfraction target motion using rigid and non-rigid approximation strategies and calculated internal margins based on random and systematic errors using traditional rigid margin recipes. Dosimetric impact of target motion was also investigated. Materials and methods Cone beam CTs (CBCTs) were acquired days 1–4 and then weekly in 17 patients receiving adjuvant IMRT for EC; a total of 169 CBCTs were analysed. Interfraction motion for the clinical target volume vaginal vault and upper vagina (CTVv) was measured using bony landmarks and deformation vector field displacement (DVFD) within a 1 mm internal wall of CTVv. Patient and population systematic and random errors were estimated and margins calculated. Delivered dose to the CTVv and organs at risk was estimated. Results There was a significant difference in target motion assessment using the different registration strategies (p < 0.05). DVFD up to 30 mm occurred in the anterior/posterior direction, which was not accounted for in PTV margins using rigid margin recipes. Underdosing of CTVv D95% occurred in three patients who had substantial reductions in rectal volume (RV) during treatment. RV relative to the planning CT was moderately correlated with anterior/posterior displacement (r = 0.6) and mean relative RV during treatment was strongly correlated with mean relative RV at CBCT acquired days 1–3 (r = 0.8). Conclusion Complex and extensive geometric changes occur to the CTVv, which are not accounted for in margin recipes using rigid approximation. Contemporary margin recipes and adaptive treatment planning based on non-rigid approximation are recommended.
... As described in International Commission on Radiation Units and Measurements Report 62, actual dose distribution should consider not only the setup error, but also the internal variations from movements of the bowel and different fillings of the bladder or the rectum [32]. Several studies have reported that variations in the rectal or bladder volume are correlated with significant displacement of the vagina and can cause the target coverage or OAR doses to change [33][34][35][36][37]. Jurgenliemk-Schulz et al. reported that the rectal volume difference of 100 cc caused the vaginal shift of 1 cm in the anterior-inferior direction [35]. ...
... As described in International Commission on Radiation Units and Measurements Report 62, actual dose distribution should consider not only the setup error, but also the internal variations from movements of the bowel and different fillings of the bladder or the rectum [32]. Several studies have reported that variations in the rectal or bladder volume are correlated with significant displacement of the vagina and can cause the target coverage or OAR doses to change [33][34][35][36][37]. Jurgenliemk-Schulz et al. reported that the rectal volume difference of 100 cc caused the vaginal shift of 1 cm in the anterior-inferior direction [35]. Harris et al. also showed that the median interfractional vaginal motion is 5.8 mm (range, 0.6-20.2 ...
Article
Full-text available
We aimed to evaluate the impact of rotational setup errors on the doses received during postoperative volumetric-modulated arc therapy (VMAT) for cervical cancer. Overall, 121 cone-beam computed tomography (CBCT) sets from 20 patients were rigidly registered to reference computed tomography (CT) sets based on bony landmarks. The rotational setup errors (pitch, yaw and roll) were calculated. Then, 121 CT sets involving rotational setup errors were created, and the dose distribution in these CT sets were recalculated. The recalculated dosimetric parameters for the clinical target volume (CTV) and organs at risk (OAR) were compared to the reference values, and the correlation coefficients between the dosimetric parameter differences and rotational setup errors were calculated. Only the pitch setup error was moderately correlated with CTV coverage (r ≥ 0.40) and strongly correlated with V45 for the bladder (r ≥ 0.91) and V40 for the rectum, small bowel and bone marrow (r ≥ 0.91). The maximum dosimetric difference in a single fraction and overall fractions was −1.59% and −0.69% in D98 for the CTV, 11.72% and 5.17% in V45 for the bladder and −8.03% and −4.68% in V40 for the rectum, respectively. In conclusion, rotational setup errors only slightly impact dose coverage during postoperative cervical cancer VMAT. However, the pitch setup error occasionally affected the doses received by the bladder or the rectum in the overall fraction when the error was systematic. Thus, rotational setup errors should be corrected by adjusting six-degree-of-freedom (DOF) couches to reduce dosimetric differences in the OARs.
... Jhingran et al. [21] evaluated vaginal vault variations during a 5-week course of postoperative radiotherapy of endometrial and cervical cancer through measured movement of vaginal markers, and they found that the maximum variations were largest in the anterior-posterior and superior-inferior directions, with a median of 1.46 cm and 1.2 cm, respectively, and the median maximum movement was 0.59 in the rightleft direction. Jürgenliemk-Schulz et al. [22] reported that the CTV-V position changed after hysterectomy for cervical or endometrial cancer during the course of radiotherapy. Homogenous CTV-to-PTV margins that allowed complete coverage of 90% and 95% of CTV-V were 0.9-1.1 cm and 2.3-1.5 cm, respectively, and CTV-V was not completely covered in 53.3% and 20.0% of fractions with homogenous CTV-PTV margins of 1.0 and 1.5 cm, respectively. ...
Article
Full-text available
Background To determine the optimal planning target volume (PTV) margins for adequate coverage by daily iterative cone-beam computed tomography (iCBCT)-guided online adaptive radiotherapy (oART) in postoperative treatment of endometrial and cervical cancer and the benefit of reducing PTV margins. Methods Fifteen postoperative endometrial and cervical cancer patients treated with daily iCBCT-guided oART were enrolled in this prospective phase 2 study. Pre- and posttreatment iCBCT images of 125 fractions from 5 patients were obtained as a training cohort, and clinical target volumes (CTV) were contoured separately. Uniform three-dimensional expansions were applied to the PTVpre to assess the minimum margin required to encompass the CTVpost. The dosimetric advantages of the proposed online adaptive margins were compared with conventional margin plans (7–15 mm) using an oART emulator in another cohort of 125 iCBCT scans. A CTV-to-PTV expansion was verified on a validation cohort of 253 fractions from 10 patients, and further margin reduction and acute toxicity were studied. Results The average time from pretreatment iCBCT to posttreatment iCBCT was 22 min. A uniform PTV margin of 5 mm could encompass nodal CTVpost in 100% of the fractions (175/175) and vaginal CTVpost in 98% of the fractions (172/175). The margin of 5 mm was verified in our validation cohort, and the nodal PTV margin could be further reduced to 4 mm if ≥ 95% CTV coverage was predicted to be achieved. The adapted plan with a 5 mm margin significantly improved pelvic organ-at-risk dosimetry compared with the conventional margin plan. Grade 3 toxicities were observed in only one patient with leukopenia, and no patients experienced acute urinary toxicity. Conclusion In the postoperative treatment of endometrial and cervical cancer, oART could reduce PTV margins to 5 mm, which significantly decrease the dose to critical organs at risk and potentially lead to a lower incidence of acute toxicity.
... Several studies have shown substantial vaginal movement during radiotherapy based on repeat MR Imaging or Computer Tomography (CT) (12)(13)(14)(15). In some of these studies, investigators used fiducial markers (FM) to quantify the Interfractional Vaginal Motion (IVM) and assess CTV to PTV margins to encompass the IVM during RT (12,13,15). ...
Article
Full-text available
Purpose To investigate the potential of an offline Adaptive Radiotherapy (ART) strategy, based on the interfractional vagina motion (IVM) measured using fiducial markers (FM) during an initial number of fractions, on the CTV to PTV margins in post-operative gynecological patients. Materials and methods In 18 patients, treated post-operatively for gynecological tumors, the systematic residual IVM was quantified after simulating an offline ART procedure, utilizing the average IVM measured with FM for a varying initial numbers of fractions to find the optimal moment to adapt the treatment plan and a threshold for selecting patients for replanning. Clinical margins for a zero, 2 and 5 mm threshold based strategy were calculated to assess the possible margin reduction. Results Applying an ART strategy based on the average IVM of the initial 5 fractions reduces the systematic IVM significantly (P<0.025), allowing a reduction of the clinical margin of 3 mm (20%) in the CC direction and 2 mm (13%) in the AP direction. A 2 mm threshold for selecting patients for replanning shows no difference in the reduction of the clinical margin, but reduces the workload with 12%. Conclusion An ART strategy based on adapting on the average IVM during the initial 5 fractions of treatment provides an opportunity to reduce the CTV to PTV margins in postoperative gynecological tumors. To keep the workload in balance with the best achievable margin reduction, a threshold for selecting patients for plan adaptation is recommended.
... Contours for the whole pelvic nodal clinical target volume (CTV) (RTOG guidelines) [4] and OAR (femur and bladder) [3] were delineated by a single experienced clinician (YB Kim). Due to the considerable variation in the vaginal cuff volume in each patient [20,21], we excluded vaginal cuff CTV in this study and only evaluated the pelvic nodal CTV. For OAR segmentation, we selected the femurs and bladder to evaluate the feasibility of ABAS for bone and soft tissue structures with different Hounsfield units. ...
Article
Full-text available
Abstract Background Since intensity-modulated radiation therapy (IMRT) has become popular for the treatment of gynecologic cancers, the contouring process has become more critical. This study evaluated the feasibility of atlas-based auto-segmentation (ABAS) for contouring in patients with endometrial and cervical cancers. Methods A total of 75 sets of planning CT images from 75 patients were collected. Contours for the pelvic nodal clinical target volume (CTV), femur, and bladder were carefully generated by two skilled radiation oncologists. Of 75 patients, 60 were randomly registered in three different atlas libraries for ABAS in groups of 20, 40, or 60. ABAS was conducted in 15 patients, followed by manual correction (ABASc). The time required to generate all contours was recorded, and the accuracy of segmentation was assessed using Dice’s coefficient (DC) and the Hausdorff distance (HD) and compared to those of manually delineated contours. Results For ABAS-CTV, the best results were achieved with groups of 60 patients (DC, 0.79; HD, 19.7 mm) and the worst results with groups of 20 patients (DC, 0.75; p = 0.012; HD, 21.3 mm; p = 0.002). ABASc-CTV performed better than ABAS-CTV in terms of both HD and DC (ABASc [n = 60]; DC, 0.84; HD, 15.6 mm; all p
... TÁBLÁZAT. Az átlagos konformitási szám (CN) értékei és a védendő szervek dózisterhelései a két besugárzási technikánál (RapidArc -forgóíves IMRT, illetve 3D-KRT-háromdimenziós konformális besugárzás, box technikával) mm-es, 10 mm-es és 15 mm-es biztonsági margóval hoztuk létre a kezelési térfogatot (PTV)(8)(9)(10). V45-öt, ill. a V50-et a védendő szervek esetében. ...
Article
Full-text available
Our goal was to determine the extent of the CTV-PTV margin. Accuracy of patient setup was checked with daily CBCT. Two radiation oncologists performed the image matching independently. The CTV-PTV margin was calculated with the van Herk formula. The treatment plans were created with the Varian Eclipse v11 planning system, and the treatments were carried out with a Varian TrueBeam accelerator by using RapidArc technique with two full arcs. Dose constraints on the target volume and organs at risk recommended by international bodies were applied. Conformity number (CN) for PTV, V45 and V50 for organs at risk were used to assess and compare the treatment plans of RapidArc and 3D-KRT (conformal radiotherapy) techniques. The average CTV-PTV margins with or without IGRT were 0.67 cm vs. 1.53 cm, 0.66 cm vs. 1.25 cm and 0.34 cm vs. 0.98 cm in vertical, longitudinal and lateral directions, respectively. In case of daily on-line CBCT verification 0.5 cm margin can be used.
Chapter
Radiation therapy delivery for gynecologic cancers has made formidable advances over the past two decades. As 3D conformal therapy is now well established, intensity-modulated and image-guided radiation therapy continue to evolve in gynecologic cancer, demanding precise delineation of the tumor and target regions as well as normal structures. As the refinements in treatment delivery are poised to improve tumor control and reduce morbidity, high-precision targeting techniques are also complicated by the effects of inter- and intrafractional organ motion. In addition, radiation therapy in the pelvic region is subject to longitudinal changes in the target, particularly in patients with intact tumor lesions that regress gradually during radiation therapy. This chapter provides a detailed review of principles, rationale, practical applications, and guidelines for target delineation in gynecologic tumors.
Book
Full-text available
PDF Available from https://www.rcr.ac.uk/sites/default/files/radiotherapy-board-on-target-2-updated-guidance-image-guided-radiotherapy.pdf
Article
Purpose: Accurate target definition is critical for the appropriate application of radiation therapy. In 2008, the YYYY (YYYY) published an international collaborative atlas to define the clinical target volume (CTV) for intensity modulated pelvic radiation therapy in the post-operative treatment of endometrial and cervical cancer. The current project is an updated consensus of CTV definitions, with removal of all references to bony landmarks and inclusion of the para-aortic and inferior obturator nodal regions. Materials/methods: An international consensus guideline working group discussed modifications of the current atlas and areas of controversy. A document was prepared to assist in contouring definitions. A sample case abdominal/pelvic CT was made available, on which experts contoured targets. Targets were analyzed for consistency of delineation using an expectation-maximization algorithm for simultaneous truth and performance level estimation (STAPLE) with kappa statistics as a measure of agreement between observers. Results: Sixteen participants provided thirteen sets of contours. Participants were asked to provide separate contours of the following areas: vaginal cuff, obturator, internal iliac, external iliac, pre-sacral, common iliac, and para-aortic regions. There was substantial agreement for the common iliac region (sensitivity 0.71, specificity 0.981, kappa 0.64), moderate agreement in the external iliac, para-aortic, internal iliac and vaginal cuff regions (sensitivity 0.66, 0.74, 0.62, 0.59 specificity 0.989, 0.966, 0.986, 0.976, kappa 0.60, 0.58, 0.52, 0.47 respectively), and fair agreement in the pre-sacral and obturator regions (sensitivity 0.55, 0.35 specificity 0.986, 0.988; kappa 0.36, 0.21 respectively). A 95% agreement contour was smoothed and a final contour atlas was produced based on consensus. Conclusions: Agreement among the participants was most consistent in the common iliac region and least in the pre-sacral and obturator nodal regions. The consensus volumes formed the basis of the updated XXXX/YYYY Oncology post-operative atlas. Continued patterns of recurrence research are encouraged to refine these volumes.
Article
PurposePatients receiving postoperative irradiation for uterine cervical cancer might not be able to eat during radiation therapy because of the effects of concurrent chemo-radiotherapy; this may lead to changes in the patient’s body shape during treatment. When performing image-guided radiotherapy, it is necessary to determine immediately whether treatment can be performed on the day or whether re-planning is required. The purpose of this study was to determine indicators for re-planning by examining the effects of changing body contours on radiation therapy dose.Materials and methodsThe original body contour was reduced by 1 cm in the front portion (structure-set 1). Based on the original dose distribution, the dose recalculation was performed with a structure set created using the body contour of structure-set 1. The difference between the original and recalculated dose distributions of structure-set 1 was evaluated through gamma analysis (GA).ResultIn the GA results for dose distribution obtained via recalculation with structure-set 1, a pass rate of 90% or more was obtained for a criterion of 2 mm/2% in all cases.Conclusions The results suggest that dose re-planning is rarely required when the body shape is reduced by only 1 cm in the front.
Article
Reporting and scoring treatment complications in gynecological cancers is difficult because of the variety of norma! tissues, anatomica! structures and treatment disciplines involved, making it impossible to compare series of patients treated in different institutions even with the same strategy. An intemationa! group of experts (gynecologists, radiotherapists and surgeons) developed a multidisciplinary database to identify, score and report early and late norma! tissue damage regardless of treatment strategy. The principles involve: (1) The identification of relevant organs and tissues; (2) An accurate definition of the type and score of each complication; (3) Reporting combinations of complications ofvarious degrees; (4) A computerized format for data acquisition, update and retrieva!. In the present version, the "Glossary" describes five degrees of increasing severity (Oto 4) in 14organs and/or norma! tissues. The rationa!e of the glossary leaves it open for as yet undescribed types of complications. This paper contains the definition and scoring for each type of complication, generai guidelines for their use.
Article
We have investigated a method to individualize the planning target volume (PTV) for deformable targets in radiotherapy by combining a computer tomography (CT) scan with multiple cone beam (CB)CT scans. All combinations of the CT and up to five initial CBCTs were considered. To exclude translational motion, the clinical target volumes (CTVs) in the CBCTs were matched to the CTV in the CT. PTVs investigated were the unions, the intersections and all other structures defined by a volume with a constant CTV location frequency. The method was investigated for three bladder cancer patients with a CT and 20-27 CBCTs. Reliable alternatives to a standard PTV required use of at least four scans for planning. The CTV unions of four or five scans gave similar results when considering the fraction of individual repeat scan CTVs they volumetrically covered to at least 99%. For patient 1, 64% of the repeat scan CTVs were covered by these unions and for patient 2, 86% were covered. Further, the PTVs defined by the volume occupied by the CTV in all except one of the four or five planning scans seemed clinically feasible. On average, 52% of the repeat CBCT CTVs for patient 1 and 64% for patient 2 were covered to minimum 99% of their total volume. For patient 3, the method failed due to poor volume control of the bladder. The suggested PTVs could, with considerably improved conformity, complement the standard PTV.
Article
During radiation delivery, target volumes change their position and shape due to intrafraction motion. The extent of these changes and the capability to correct for them will contribute to the benefit of an MRI-accelerator in terms of PTV margin reduction. Therefore, we investigated the primary CTV motion within a typical IMRT delivery time for cervical cancer patients for various correction techniques: no registration, rigid bony anatomy registration, and rigid soft tissue registration. Twenty-two patients underwent 2-3 offline MRI exams before and during their radiation treatment. Each MRI exam included four sagittal and four axial MRI scans alternately within 16min. We addressed the CTV motion by comparing subsequent midsagittal CTV delineations and investigated the correlation with intrafraction bladder filling. The maximum (residual) motions within 16min for all points on the CTV contour for 90% of the MRI exams without registration, with rigid bony anatomy registration, and with rigid soft tissue registration were 10.6, 9.9, and 4.0mm. A significant but weak correlation was found between intrafraction bladder filling and CTV motion. Considerable intrafraction CTV motion is observed in cervical cancer patients. Intrafraction MRI-guided soft tissue registration using an MRI-accelerator will correct for this motion.