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Preliminary clinical experience with a dedicated interventional robotic system for CT-guided biopsies of lung lesions: a comparison with the conventional manual technique

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Evaluate the performance of a robotic system for CT-guided lung biopsy in comparison to the conventional manual technique. One hundred patients referred for CT-guided lung biopsy were randomly assigned to group A (robot-assisted procedure) or group B (conventional procedure). Size, distance from entry point and position in lung of target lesions were evaluated to assess homogeneity differences between the two groups. Procedure duration, dose length product (DLP), precision of needle positioning, diagnostic performance of the biopsy and rate of complications were evaluated to assess the clinical performance of the robotic system as compared to the conventional technique. All biopsies were successfully performed. The size (p = 0.41), distance from entry point (p = 0.86) and position in lung (p = 0.32) of target lesions were similar in both groups (p = 0.05). Procedure duration and radiation dose were significantly reduced in group A as compared to group B (p = 0.001). Precision of needle positioning, diagnostic performance of the biopsy and rate of complications were similar in both groups (p = 0.05). Robot-assisted CT-guided lung biopsy can be performed safely and with high diagnostic accuracy, reducing procedure duration and radiation dose in comparison to the conventional manual technique. • CT-guided biopsy is the main procedure to obtain diagnosis in lung tumours. • The robotic device facilitates percutaneous needle placement under CT guidance. • Robot-assisted CT-guided lung biopsy reduces procedure duration and radiation dose.
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1 23
European Radiology
ISSN 0938-7994
Eur Radiol
DOI 10.1007/s00330-014-3508-z
Preliminary clinical experience with a
dedicated interventional robotic system
for CT-guided biopsies of lung lesions: a
comparison with the conventional manual
technique
Michele Anzidei, Renato Argirò, Andrea
Porfiri, Fabrizio Boni, Marco Anile,
Fulvio Zaccagna, Domenico Vitolo, Luca
Saba, et al.
1 23
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INTERVENTIONAL
Preliminary clinical experience with a dedicated
interventional robotic system for CT-guided biopsies of lung
lesions: a comparison with the conventional manual technique
Michele Anzidei &Renato Argirò &Andrea Porfiri &Fabrizio Boni &Marco Anile &
Fulvio Zaccagna &Domenico Vitolo &Luca Saba &Alessandro Napoli &Andrea Leonardi &
Flavia Longo &Federico Venuta &Mario Bezzi &Carlo Catalano
Received: 22 May 2014 /Revised: 24 September 2014 /Accepted: 14 November 2014
#European Society of Radiology 2014
Abstract
Objective Evaluate the performance of a robotic system for
CT-guided lung biopsy in comparison to the conventional
manual technique.
Materials and methods One hundred patients referred for CT-
guided lung biopsy were randomly assigned to group A
(robot-assisted procedure) or group B (conventional proce-
dure). Size, distance from entry point and position in lung of
target lesions were evaluated to assess homogeneity differ-
ences between the two groups. Procedure duration, dose
length product (DLP), precision of needle positioning, diag-
nostic performance of the biopsy and rate of complications
were evaluated to assess the clinical performance of the ro-
botic system as compared to the conventional technique.
Results All biopsies were successfully performed. The size
(p=0.41), distance from entry point (p= 0.86) and position in
lung (p=0.32) of target lesions were similar in both groups
(p=0.05). Procedure duration and radiation dose were signif-
icantly reduced in group A as compared to group B (p=
0.001). Precision of needle positioning, diagnostic perfor-
mance of the biopsy and rate of complications were similar
in both groups (p=0.05).
Conclusion Robot-assisted CT-guided lung biopsy can be
performed safely and with high diagnostic accuracy, reducing
procedure duration and radiation dose in comparison to the
conventional manual technique.
Key Points
CT-guided biopsy is the main procedure to obtain diagnosis
in lung tumours.
The robotic device facilitates percutaneous needle place-
ment under CT guidance.
Robot-assisted CT-guided lung biopsy reduces procedure
duration and radiation dose.
Keywords Robot .Lung biopsy .Lung cancer .
CT-guidance .Interventional radiology
Introduction
CT-guided lung biopsy is the procedure of choice to obtain
diagnoses in patients with pulmonary lesions suggestive of
malignancy at imaging [13]. Following the recent advances
in targeted therapies, biopsy of unresectable lung lesions has
also become necessary in order to assess genetic mutations in
unresectable non-small cell cancers (NSCLC), with core bi-
opsy usually being preferred to aspiration cytology owing to
the larger specimens made available for molecular analysis
[4]. CT-guided lung biopsy can be performed either with the
step-and-shoot or the fluoroscopic technique: the step-and-
M. Anzidei (*):R. Argirò :A. Porfiri :F. Boni :F. Zaccagna :
A. Napoli :A. Leonardi :M. Bezzi :C. Catalano
Department of Radiological, Oncological and Anatomopathological
Sciences - Radiology Sapienza, University of Rome, Viale Regina
Elena 324, 00161 Rome, Italy
e-mail: michele.anzidei@gmail.com
M. Anile :F. Venu t a
Department of Thoracic Surgery Sapienza, University of Rome,
Rome, Italy
D. Vitolo
Department of Radiological, Oncological and Anatomopathological
Sciences - Pathology Sapienza, University of Rome, Rome, Italy
L. Saba
Department of Radiology, Azienda Ospedaliero Universitaria
(A.O.U.), di Cagliari-Polo di Monserrato, Monserrato, Italy
F. Lo n g o
Department of Radiological, Oncological and Anatomopathological
Sciences - Oncology Sapienza, University of Rome, Rome, Italy
Eur Radiol
DOI 10.1007/s00330-014-3508-z
Author's personal copy
shoot approach is preferred in larger, non-moving lesions,
while CT-fluoroscopy is more advantageous when targeting
smaller lesions or nodules in the lower lobes that are suscep-
tible to respiratory motion [5]. Both procedures have technical
limitations that should be taken into consideration; in partic-
ular the step-and-shoot technique is based on the operators
subjective assessment of needle path and positioning and may
result in increased procedure duration and complication rate,
whereas CT-fluoroscopy is significantly faster and more pre-
cise but significantly raises radiation dose to both operator and
patient [6,7]. Various assisting technologies have been pro-
posed in order to increase the diagnostic accuracy and reduce
the duration of CT-guided biopsies, including external laser
targeting [8] and augmented reality (i.e. with a live indirect
view of anatomy by computer-generated video input) [9].
Dedicated interventional robotic systems that operate under
imaging guidance also became available recently [10].
However, while these systems may theoretically represent an
important step toward the automation of interventional proce-
dures, clinical experience and comparative data with conven-
tional techniques are still lacking or insufficient. The
ROBIOEX (Perfint Healthcare Pvt. Ltd, Florence, OR,
USA) is a CE approved robotic positioning system that facil-
itates percutaneous needle placement during CT-guided inter-
ventional procedures and that has been successfully tested for
CT-guided biopsy and ablation on phantoms [11] and for
clinical radiofrequency ablation of liver lesions [12]. The
objective of this study was to evaluate the clinical perfor-
mance of this system for CT-guided biopsy of lung lesions
in comparison with the conventional manual technique.
Materials and methods
Patient population and study details
This was a single-centre, double-arm, non-sponsored, pro-
spective study and received the approval of local institution
review board. Between June 2013 and February 2014, 115
patients with previously diagnosed lung lesions suggestive of
malignancy at chest CT, PET-CT or both were referred to the
thoracic surgery department of our tertiary care hospital for
histological characterization. Fifteen patients were excluded
from the study population (three patients refused further diag-
nosis/treatment, in five patients the lesions were characterized
as lung metastases following review of available imaging and
in seven patients diagnosis was obtained with bronchoscopy
and transbronchial biopsy). The remaining 100 patients (63
male, 37 female, age range 4888 years, mean age 65 ±4 years)
were referred for CT-guided lung biopsy and randomly
assigned to group A (robot-assisted procedure) or group B
(conventional procedure). All enrolled patients gave their
written informed consent to participation after being
thoroughly informed of the benefits and potential risks of the
procedure.
Pre-procedure
All procedures were performed by the same radiologist (MA,
8 years of experience in CT-guided interventions, including
more than 300 lung biopsies) on a 128-MDCT dual-source
scanner (Somatom Definition, Siemens, Erlangen, Germany).
A standard inspiratory breath-hold scan of the chest (100 kV,
100 mAs, detector configuration 128×1 mm, slice thickness
1 mm, reconstruction interval 1 mm) was acquired in all cases
prior to biopsy, in order to confirm the presence and to assess
the position of the target lesion. Patients were laid on a
vacuum stabilization mattress and positioned in order to re-
duce at minimum the intrapleural path of the needle, as well as
to avoid critical lung structures (vessels, bronchi and fissures).
Local anaesthesia was performed with 10 mL of 1 % lidocaine
along the projected path of the biopsy needle into the soft
tissues, down to the epipleural space. In all cases an 18-G,
150/200-mm-long modified Menghini end-cutting needle
(SURECUT, TSK Laboratory, Tochigi-Shi, Japan) was used
for tissue sampling. Targeting CT scans were acquired with a
low-dose interventional protocol (100 kV, 50 mAs, detector
configuration 128×1 mm, slice thickness 1 mm, reconstruc-
tion interval 1 mm).
Conventional biopsy technique
All conventional biopsies were performed with the step-and-
shoot technique to assess needle positioning and angulation.
The z-axis extension of targeting scans was limited to include
only the needleand the target lesion. A minimum of two scans
(before the pleura and into the lesion) was required to target
lesions adjacent to the chest wall and a minimum of three
scans (before the pleura, midway to the lesion, into the lesion)
was required for deeper lesions. Additional scans and
multiplanar reconstructions were performed in real time when
necessary for needle adjustment. Once the needle tip was in
position, biopsy was performed with a combination of aspira-
tion and push/rotation movements.
Robot-assisted biopsy technique
Positioning and docking of the robotic system were performed
as previously described [11], with the arm and planning con-
sole located to the side of the CT bed (left or right, depending
on the required access) and firmly coupled to ground metal
plates on the floor to ensure stability. A preliminary inspira-
tory breath-hold CT of the chest was performed using a Breath
Hold® respiratory belt coupled to a light sign (Medspira,
Minneapolis, USA) mounted on a flexible arm, in order to
monitor the extent of chest movement and instruct patients to
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maintain and reproduce proper apnoea (Fig. 1). Images were
then exported over a local area network to the ROBIOEX
workstation for biopsy planning. The centre of the target
lesion and the entry point on the skin were determined by
the operator, while the angulations of the needle, the depth of
the target and the needle path were automatically calculated by
the workstation and displayed in real time (Fig. 2). Each
parameter was readily modifiable by the operator in order to
avoid critical structures, such as ribs, bronchi and vessels.
Once the plan was confirmed, the CT table was moved to
the coordinates displayed on the workstation and the robotic
arm was activated and positioned for biopsy execution. A
plastic holder with a disposable bush was placed at the end
effector of the robotic arm to guide needle insertion.
Subsequently, the needle was manually inserted through the
chest wall directly into the lesion in a single pass, while the
patient maintained breath-hold to the same extent as that of the
initial positioning CT scan, guided by the light sign coupled to
the respiratory belt. After decoupling the needle from the end
effector and retraction of the robotic arm, needle positioning
was confirmed with a further CT scan (Figs. 3and 4)and
adjustments were performed if required. Biopsy was then
performed similarly to the conventional approach.
Data analysis
The homogeneity assessment of the two groups included
evaluation of the size, distance from entry point and position
in lung of target lesions. The size and distance from entry
point were compared between the two groups with the un-
paired sample ttest. Differences in the location (according to
lobar anatomy) of target lesions between the two groups were
assessed with the MannWhitney Utest.
In order to demonstrate statistically significant differences
(p<0.01) of clinical and technical performance between the
conventional biopsy approach and the robot-assisted tech-
nique, the following parameters were evaluated in the two
groups:
Procedure duration (including planning time) and dose
length product (DLP) were compared with the unpaired
sample ttest.
Number of needle adjustments was compared with the
unpaired sample ttest.
Planar and craniocaudal deviations of the needle tip from
the planned target were calculated in millimetres and
compared between the two groups with the unpaired
sample ttest. Multiplanar reformatted images were used
for the evaluation of z-axis deviation.
Orbital and craniocaudal angular deviations at the target
from the projected needle path were calculated in degrees
(°) for robot-assisted biopsies only. Multiplanar
reformatted images were used for the evaluation of
craniocaudal angular deviation.
Diagnostic performance of the biopsy procedure was
evaluated qualitatively (diagnostic/non-diagnostic sam-
pling) and compared with the MannWhitney test.
The rate of complications in the two groups was evaluat-
ed following the clinical practice guidelines of the Society
of Interventional Radiology [13] (no complications/minor
complications/major complications) and compared with
the MannWhitney Utest.
Results
All biopsies were successfully performed under CT guidance
in both groups. Lesions size (p=0.41), distance from entry
point (p=0.86) and lesions location (p=0.32) were similar in
the two groups. Full results of the homogeneity assessment of
the two groups are given in Table 1.
In group A procedure duration was significantly shorter
(p=0.001), DLP was lower (p=0.001) and just occasional
needle adjustments were required as compared to group B
(p=0.000). Planar and craniocaudal deviations of the needle
Fig. 1 Patient preparation. Respiratory belt placed in patients sight (a,
arrow) and coupled to the light sign (b,arrow). The belt registers the
extent of chest movement at each respiratory act and displays this as
coloured dots. More dots light up with wider respiratory movements. The
patients were asked to control their breath during the procedure trying to
avoid lighting of the outer dots
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tip from the planned target were similar in both groups (p=
0.05), while the orbital (transversal on the x-axis) and
craniocaudal (longitudinal on the z-axis) angular deviations
from the projected needle path in robot-assisted biopsies were
1° and 2.5 ±0.5° (Fig. 5). The diagnostic performance of
CT-guided biopsies was similar in the two groups (p=0.05),
with four patients in group A and three patients in group B
Fig. 2 Biopsy planning on the ROBIOEX workstation. Target lesion
in the lower right lobe at contrast-enhanced CT (a,arrow), surrounded by
atelectasis (a,arrowhead). The entry point on the skin (b,arrow)and
centre of target lesion (c,arrow) are determined by the operator. The
angulations and insertion path of the needle are automatically calculated
by the workstation and displayed in real time
Fig. 3 Needle positioning. Needle in position before insertion (a,arrow).
Needle insertion through the chest wall directly into the lesion in a single
pass (b,arrow). Needle in final position (c,arrow) after detachment from
end effector and retraction of the robotic arm
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requiring re-biopsy due to inadequate quality of the biopsy
sample. The rate of complications was comparable in the two
groups (p=0.05); there were three (6 %) cases of pneumotho-
rax in group A and two (4 %) cases of pneumothorax in group
B requiring chest tube drainage and prolonged hospitalization.
Minor complications (including small pneumothorax not re-
quiring therapy and self-limiting peri-lesional haemorrhages)
occurred in two (4 %) cases in group A and four (7 %) in
group B. Full results of the assessment of the clinical and
technical performance of the two groups are given in Table 2.
Discussion
Imaging-guided interventional techniques currently represent
a fundamental tool in diagnosis and treatment of oncologic
pathologies. Among the various guidance modalities, CT is
the method of choice in the chest region owing to its excellent
spatial and contrast resolution for the visualization of lung
parenchyma, airways and cardiovascular structures that safely
allows biopsy of lung and mediastinal lesions, percutaneous
tube placement and thermal ablation of lung tumours. The
conventional technique for CT-guided interventional proce-
dures requires a trial-and-error method with the step-and-
shoot approach, or the application of a real-time fluoroscopic
monitoring in order to visualize and modify the path of
needles and percutaneous probes. Even if the clinical perfor-
mance of conventional approaches is highly reliable in expert
hands [47], these methods present well-known technical
limitations and their successful application depends signifi-
cantly on operatorsmanual skill and experience. In order to
reduce such operator dependence, several assisting devices
have been developed and tested in clinical practice, including
external laser [8]oroptical[14] targeting systems that project
and/or guide the needle path onto the skin surface, electro-
magnetic tracking with image fusion [15] and augmented
reality system under infrared guidance that display a real-
time simulation of needle movements [9]. Preliminary reports
are encouraging, but it should be noted that the success of
these technologies is highly dependent on the integration
between the assisting software/hardware, the CT system and
the operator, with increased complexity and costs as compared
to conventional techniques. Moreover, with the approaches
mentioned above the dependence on operator experience is
reduced but not completely eliminated, not mentioning the
need for adequate training. On the other hand, the use of
medical robots for surgical or imaging-guided procedures
allows extremely accurate tool guidance with stable access,
leading to increased precision, accuracy and reproducibility in
a variety of applications, including percutaneous ablations,
biopsies, orthopaedic fixture placement, hollow viscera or
solid organ access [10]. While earlier robots required exten-
sive installation and were often cumbersome to operate, being
time consuming and economically disadvantageous [16,17],
more recent systems, such as the ROBIOEX, require
minimal effort to be mounted and registered to the imaging
Fig. 4 Positioning confirmation after control scan, immediately before
biopsy. Adjacent slices demonstrate overlapping between the planned
needle path (green line) and the actual needle position at the end of
insertion. Robot-assisted biopsy allowed correct sampling of tumour
tissue avoiding atelectasis. Final histological diagnosis was
adenocarcinoma
Tabl e 1 Full results of the homogeneity assessment of the two groups
Parameter Group A Group B pvalue
Lesion size (mm) 40.7±23.9 (range 15150) 35.5±25 (range 13.5160) 0.41
Distance from Entry point (mm) 73.1±30.7 (range 20135) 72.1±21.6 (range 18117) 0.86
Lesion location (according to lobar anatomy) RUL (n 11) RUL (n 9) 0.32
LUL (n 6) LUL (n 8)
ML (n 3) ML (n 2)
RLL (18) RLL (16)
LLL (12) LLL (15)
Values are expressed as average± standard deviation
RUL right upper lobe, LUL left upper lobe, ML middle lobe, RLL right lower lobe, LLL left lower lobe
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device [11], reducing the complexity of the procedure. Also
the fully automated movement of the robotic arm represents a
relevant advantage that removes the need for manual or joy-
stick adjustments in the pretreatment phase that are necessary
with other devices [18,19] and may further complicate the
clinical workflow. From a clinical point of view, our study
demonstrated in a large patient population that the presented
robotic system facilitates CT-guided lung biopsies, with re-
sults that are substantially in line with previous reports on
biopsies in phantoms [11] and clinical radiofrequency ablation
of liver lesions [12]. It should be considered that, apart from
these two preliminary studies performed with the samerobotic
platform, there is no literature evidence of large clinical series
of robot-assisted CT-guided interventions, in particular for
what regards chest procedures; hence, an indirect comparison
with the performance of different robotic devices is currently
impossible. In our single-centre experience, the precision in
lesion targeting, the diagnostic performance of the biopsy
sampling and the rate of complications in the robot-assisted
procedures were comparable to those of conventional biop-
sies, with accurate needle positioning and very few adjustment
required even in lesions as small as 15 mm, but the use of the
robot significantly reduced procedure duration and radiation
dose in comparison to the unassisted technique. This observa-
tion is particularly relevant, since in our study all procedures
were performed by an operator with previous experience of
more than 300 conventional CT-guided lung biopsies and,
notwithstanding this expertise, significant reduction of proce-
dure duration and radiation dose were in any case obtained in
robot-assisted procedures as compared to the conventional
technique. In this regard, future work should aim to evaluate
when and how operators with different levels of experience
may benefit from robot assistance in daily clinical routine, and
assess potential differences in the clinical performance of
robot-assisted procedures between expert and non-expert
Fig. 5 Biopsy of a deep solitary lung nodule in the right upper lobe. The
maximum transverse diameter of the nodule was 10 mm and its
craniocaudal size was 15 mm. Planning CT demonstrates the desired
needle path and tip positioning (a,arrowhead). Control CT scan after
needle positioning shows a slight angular deviation of the needle tip
resulting in a 1.5-mm deviation from the planned path (b,arrowhead).
Notwithstanding the deviation, biopsy was successfully performed
without further needle adjustments, achieving final histological
diagnosis of adenocarcinoma
Tabl e 2 Full results of the assessment of the clinical and technical performance of the two groups
Parameter Group A Group B pvalue
Procedure duration (min) 20.1±11.3 (range 1031) 31.4±10.2 (range 1842) 0.001
DLP (mGy) 324± 114.5 (range 117386) 541.2±446.8 (range 334589) 0.001
Number of needle adjustments 2.7± 2.6 (range 14) 4 (range 212) 0.000
Deviations on the xand yaxes (mm) 2.3± 1.1 (x)2.5±1.5(y) (range 18) 3.0± 1.3 (x)2.1±1.6(y)(range211) 0.05
Orbital (o) and craniocaudal (c)
deviations (°)
1° (o) 1.5±0.5° (c) N/A N/A
Final diagnosis 18 ADCA, 9 SCC, 6 SCLC, 10 mets,
3benignant
15 ADCA, 10 SCC, 7 SCLC, 14 mets,
1benignant
0.05
4 rebiopsy (1 ADCA, 2 SCC, 1 SCLC) 3 rebiopsy (2 ADCA, 1 SCC)
Complications (%) 10.4 11 0.05
Values are expressed as average± standard deviation
ADCA adenocarcinoma, SCC squamous cell carcinoma, SCLC small cell carcinoma, mets metastases, N/A not acquired
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radiologists. Moreover, even if a dedicated cost-analysis is
currently unavailable, it could be speculated that the use of
interventional robotic systems will be probably even more
beneficial in clinical settings in which financial resources or
time for appropriate training of interventional radiologists is
lacking, pushing less expert, non-interventional operators to
perform simple imaging-guided procedures. Even if these
preliminary results are encouraging, this study has some lim-
itations. First, the sample size was not determined in advance
with a power analysis in order to increase the relevance of the
statistical evaluation. Moreover, a statistical subanalysis based
on the anatomic characteristics of the target lesions (size,
distance to pleura and position in lung) was not performed;
hence we cannot provide clustered data on system perfor-
mance for the biopsy of smaller and hardly accessible lesions,
which should be the ideal target for robot-assisted procedures.
Last, an independent evaluation of the status of the lung
parenchyma surrounding the target lesions was not available
in order to assess the influence of local pulmonary factors
(emphysema, fibrosis, bronchiectases) on the rate of compli-
cations in the two groups, even if this parameter was probably
not influential, since our complication rates do not differ from
those reported in the literature [47]. Notwithstanding these
limitations, the results of our study demonstrate that robot-
assisted CT-guided lung biopsy is a safe and accurate inter-
ventional technique that can reduce procedure duration and
radiation dose in comparison to the conventional manual
approach even in expert hands. Further studies are needed to
confirm these data and to evaluate the performance of robot-
assisted interventional procedures in other clinical scenarios.
Acknowledgments The scientific guarantor of this publication is Dr.
Michele Anzidei. The authors of this manuscript declare no relationships
with any companies whose products or services may be related to the
subject matter of the article. The authors state that this work has not
received any funding. Dr. Fulvio Zaccagna kindly provided statistical
advice for this manuscript. Institutional review board approval was ob-
tained. Written informed consent was obtained from all subjects (patients)
in this study. No study subjects or cohorts have been previously reported.
Methodology: prospective, randomised controlled trial, performed at one
institution.
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... Furthermore, robotic assistance can be used for biopsy, particularly in challenging sites like the liver and lungs [24,[31][32][33][34][35]. CTguided lung biopsy is the preferred method of securing diagnosis in individuals presenting with lung abnormalities [36][37][38][39]. ...
... These results are consistent with those for lung procedures. A second systematic review of the literature [42], which assessed robot-guided procedural performance by relating 2 studies [34,41] and incorporating a control group (manual procedure), reviewed 118 robot-guided percutaneous lung biopsies to find that technical accuracy improved with robot assistance, as exemplified by a reduction in necessary adjustments to needle positioning in the robot-guided group compared to the manual [42]. The 2 groups' procedural and diagnostic performances for CT-guided biopsies were statistically similar, and the diagnostic yield ranged from 89.4% to 100% for both the robot and the manual groups (P = 0.34) [42]. ...
... Regarding IR intervention safety, there are no significant differences between robot-guided and manual-guided IR liver procedures [14], percutaneous lung procedures [42], or MSK IR interventions [50]. For example, Anzidei et al. [34] reported similar complication rates between the robot-guided and control groups (10.4% vs. 11%, P = 0.05), with a breakdown of complications provided as follows: 3 (6%) vs. 2 (4%) pneumothorax requiring chest tube drainage and prolonged hospitalization and 2 (4%) vs. 4 (7%) minor complications, including small pneumothorax not requiring therapy and self-limiting perilesional hemorrhages. Likewise, Alexander et al. [50] reported similar adverse events between the 2 groups (P = 0.45), with 6.7% (1/ 15) grade 3 pneumothorax requiring drainage in the robot group vs. 12.1% (8/66) in the manual group (P = 1). ...
... The feasibility and safety of the robotic-assisted insertion of biopsy introducer needles have been assessed with a variety of systems in a spectrum of studies, including different target locations [49][50][51][52][53][54][55][56][57][58][59][60][61]. Biopsy sessions were feasible in all patients with accurate needle targeting of the lesion [49][50][51][52][53][54][55][56][57][58][59][60][61]. ...
... The feasibility and safety of the robotic-assisted insertion of biopsy introducer needles have been assessed with a variety of systems in a spectrum of studies, including different target locations [49][50][51][52][53][54][55][56][57][58][59][60][61]. Biopsy sessions were feasible in all patients with accurate needle targeting of the lesion [49][50][51][52][53][54][55][56][57][58][59][60][61]. The performance of a robotic system for CT-guided lung biopsy in comparison to the conventional manual technique was evaluated in a study of 100 patients, which showed that robot-assisted CT-guided lung biopsy was safe, with high diagnostic accuracy, and reduced procedure times and radiation doses in comparison to the conventional freehand technique. ...
... The performance of a robotic system for CT-guided lung biopsy in comparison to the conventional manual technique was evaluated in a study of 100 patients, which showed that robot-assisted CT-guided lung biopsy was safe, with high diagnostic accuracy, and reduced procedure times and radiation doses in comparison to the conventional freehand technique. In this large study, the precision of needle positioning, diagnostic performance, and rate of complications were similar in patients treated with either robotic-assisted or conventional manual techniques [49]. Evaluation of an electromagnetic navigation system for lung biopsies reported that the system was safe, efficient, and reliable when compared to standard CT guidance, with high diagnostic yield and comparable or not significantly different needle insertion times and complication rates [59]. ...
Article
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Interventional oncology (IO) is the field of Interventional Radiology that provides minimally invasive procedures under imaging guidance for the diagnosis and treatment of malignant tumors. Sophisticated devices can be utilized to increase standardization, accuracy, outcomes, and “repeatability” in performing percutaneous Interventional Oncology techniques. These technologies can reduce variability, reduce human error, and outperform human hand-to-eye coordination and spatial relations, thus potentially normalizing an otherwise broad diversity of IO techniques, impacting simulation, training, navigation, outcomes, and performance, as well as verification of desired minimum ablation margin or other measures of successful procedures. Stereotactic navigation and robotic systems may yield specific advantages, such as the potential to reduce procedure duration and ionizing radiation exposure during the procedure and, at the same time, increase accuracy. Enhanced accuracy, in turn, is linked to improved outcomes in many clinical scenarios. The present review focuses on the current role of percutaneous navigation systems and robotics in diagnostic and therapeutic Interventional Oncology procedures. The currently available alternatives are presented, including their potential impact on clinical practice as reflected in the peer-reviewed medical literature. A review of such data may inform wiser investment of time and resources toward the most impactful IR/IO applications of robotics and navigation to both standardize and address unmet clinical needs.
... Moreover, the risk of complications is relatively high when percutaneous transthoracic needle biopsy (PTNB) operations are performed under the guidance of traditional imaging methods. With the continuous improvement and development of technologies, more auxiliary guidance technologies have been iteratively updated, 2,3 including radial endobronchial ultrasound (R-EBUS), 4-6 electromagnetic navigation bronchoscopy (ENB), 7-9 electromagnetic navigated PTNB, 10,11 virtual navigation bronchoscopy (VBN), [12][13][14] robotic bronchoscopy, [15][16][17] percutaneous puncture robotic system, 18,19 and the cone-beam computed tomography (CBCT), [20][21][22] etc. Nonetheless, efficient and precise reach of pulmonary nodules with minimal invasiveness is still a challenging yet crucial task even with the arsenal of various navigation tools. ...
... 2. Puncture direction and entry point can be determined by CBCT guidance, a manual method, or by other guiding techniques such as electromagnetic navigation system and transthoracic interventional robotics. 10,18 CBCTguided puncture planning: Some CBCT can guide the operator to puncture the needle according to the planned path. After preoperative CBCT is performed, the desired entry point and target lesion can be manually marked on the reconstructed 3D volumes using matched software (for example, Needle Guidance, Siemens; XperGuide, Phillip), thus the planned puncture path is formed and the penetration depth is determined. ...
Article
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Cone‐beam computed tomography (CBCT) system can provide real‐time 3D images and fluoroscopy images of the region of interest during the operation. Some systems can even offer augmented fluoroscopy and puncture guidance. The use of CBCT for interventional pulmonary procedures has grown significantly in recent years, and numerous clinical studies have confirmed the technology's efficacy and safety in the diagnosis, localization, and treatment of pulmonary nodules. In order to optimize and standardize the technical specifications of CBCT and guide its application in clinical practice, the consensus statement has been organized and written in a collaborative effort by the Professional Committee on Interventional Pulmonology of China Association for Promotion of Health Science and Technology.
... Deformable medical image registration is a critical and fundamental task in various clinical applications, such as preoperative surgery planning, image-guided intervention, the monitoring of patients' responses to treatments, and postoperative therapy [1][2][3][4][5][6][7][8]. It aims to establish a spatial correspondence between medical images from different times, different patients, or different devices by searching for and computing dense and nonlinear deformation fields. ...
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The registration of preoperative and follow-up brain MRI, which is crucial in illustrating patients’ responses to treatments and providing guidance for postoperative therapy, presents significant challenges. These challenges stem from the considerable deformation of brain tissue and the areas of non-correspondence due to surgical intervention and postoperative changes. We propose a stepwise corrected attention registration network grounded in convolutional neural networks (CNNs). This methodology leverages preoperative and follow-up MRI scans as fixed images and moving images, respectively, and employs a multi-level registration strategy that establishes a precise and holistic correspondence between images, from coarse to fine. Furthermore, our model introduces a corrected attention module into the multi-level registration network that can generate an attention map at the local level through the deformation fields of the upper-level registration network and pathological areas of preoperative images segmented by a mature algorithm in BraTS, serving to strengthen the registration accuracy of non-correspondence areas. A comparison between our scheme and the leading approach identified in the MICCAI’s BraTS-Reg challenge indicates a 7.5% enhancement in the target registration error (TRE) metric and improved visualization of non-correspondence areas. These results illustrate the better performance of our stepwise corrected attention registration network in not only enhancing the registration accuracy but also achieving a more logical representation of non-correspondence areas. Thus, this work contributes significantly to the optimization of the registration of brain MRI between preoperative and follow-up scans.
... Traditional computed tomography (CT)-guided interventions involve manual puncture procedures, where doctors rely on their experience to handle the needles based on intermittent CT scans. However, this approach is limited by the inability to directly visualize the needles or probes during the puncture process, leading to what is known as "blind puncture" [1,2]. To address this limitation, a CT fluoroscopy minimally invasive robot system was developed to provide real-time CT image guidance. ...
Article
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Background This study aimed to assess the feasibility, safety, and accuracy of a low-dose CT fluoroscopy-guided remote-controlled robotic real-time puncture procedure. Methods The study involved two control groups with Taguchi method: Group A, which underwent low-dose traditional CT-guided manual puncture (blank control), and Group B, which underwent conditional control puncture. Additionally, an experimental group, Group C, underwent CT fluoroscopy-guided remote-controlled robotic real-time puncture. In a phantom experiment, various simulated targets were punctured, while in an animal experiment, attempts were made to puncture targets in different organs of four pigs. The number of needle adjustments, puncture time, total puncture operation time, and radiation dose were analyzed to evaluate the robot system. Results Successful punctures were achieved for each target, and no complications were observed. Dates were calculated for all parameters using Taguchi method. Conclusion The low-dose CT fluoroscopy-guided puncture robot system is a safe, feasible, and equally accurate alternative to traditional manual puncture procedures.
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Osseous metastases are common in cancer patients, and pain is one of the most frequent associated symptoms. The management of cancer-related pain is still problematic worldwide with 40 to 50% of patients still being undertreated. A significant proportion of cancer patients will require discontinuation of traditional analgesic treatments such as opioids due to unsuccessful pain relief or severe unmanageable toxicity and may, therefore, benefit from alternative treatments. Over the last few decades, several interventional radiology (IR) minimally invasive treatment options have been introduced into the cancer pain management toolbox and can be proposed to cancer patients. This article reviews the main IR treatment options for painful bone metastases which include vertebral augmentation, percutaneous osteosynthesis, tumoral ablation, electrochemotherapy, intra-arterial therapies, and percutaneous neurolysis.
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Objectives: This systematic review aims to assess existing research concerning the use of robotic systems to execute percutaneous lung biopsy. Methods: A systematic review was performed and identified 4 studies involving robotic systems used for lung biopsy. Outcomes assessed were operation time, radiation dose to patients and operators, technical success rate, diagnostic yield, and complication rate. Results: One hundred and thirteen robot-guided percutaneous lung biopsies were included. Technical success and diagnostic yield were close to 100%, comparable to manual procedures. Technical accuracy, illustrated by needle positioning, showed less frequent needle adjustments in robotic guidance than in manual guidance ( P < .001): 2.7 ± 2.6 (range 1-4) versus 6 ± 4 (range 2-12). Procedure time ranged from comparable to reduced by 35% on average (20.1 ± 11.3 minutes vs 31.4 ± 10.2 minutes, P = .001) compared to manual procedures. Patient irradiation ranged from comparable to reduced by an average of 40% (324 ± 114.5 mGy vs 541.2 ± 446.8 mGy, P = .001). There was no significant difference in reported complications between manual biopsy and biopsies that utilized robotic guidance. Conclusion: Robotic systems demonstrate promising results for percutaneous lung biopsy. These devices provide adequate accuracy in probe placement and could both reduce procedural duration and mitigate radiation exposure to patients and practitioners. However, this review underscores the need for larger, controlled trials to validate and extend these findings.
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Computed tomography-guided transthoracic needle aspiration (TTNA) and biopsy (TTNB) is a well established, safe, and rapid method of reaching a definitive diagnosis for most thoracic lesions. The present study aimed to determine the roles of TTNA and TTNB in the diagnosis of pulmonary diseases and to compare the results using these two techniques. TTNB and TTNA were performed in 105 patients admitted to our clinic due to peripheral pulmonary lesions between May 2005 and November 2007. Needle biopsies were performed using 18-gauge Tru-Cut® biopsy needles and aspirations was performed using 18-20-22-gauge Chiba needles. Malignant lesions diagnosed by TTNB were non-small cell lung carcinoma (51 patients, 73%), small cell lung carcinoma (nine patients, 13%), malignant tissue (three patients, 5%), lymphoma (two patients, 3%), thymoma (two patients, 3%), plasmacytoma (one patient, 1%), rhabdomyosarcoma (one patient, 1%), and metastasis (one patient, 1%). The malignant lesions diagnosed by TTNA were non-small cell lung carcinoma in eleven patients (92%) and malignant tissue in one patient (8%). Three (100%) of the benign lesions diagnosed by TTNB were granulomas and two (100%) benign lesions diagnosed by TTNA were infarctions. When the diagnostic value of TTNB and TTNA was compared, TTNB was significantly superior. Malignant lesions were identified in 70 (84%) and benign lesions were identified in three (4%) of the 83 patients in the TTNB group. Ten (12%) patients in the TTNB group could not be diagnosed. Malignant lesions were found in 12 (55%) and benign lesions were found in two (9%) of the 22 patients in the TTNA group. Negative results were obtained in eight (36%) patients. The diagnostic sensitivity, specificity, and accuracy of TTNB was calculated to be 92%, 100%, and 93%, respectively (Table 5). The diagnostic sensitivity, specificity, and accuracy of TTNA was 78%, 100%, and 82%, respectively. TTNB had a sensitivity of 92% (70/76) in malignant cases and 100% (3/3) in benign cases, while the sensitivity of TTNA in malignant and benign cases was 75% (3/4) and 67% (2/3), respectively. TTNB is a safe and easy procedure which provides a highly accurate diagnosis of benign and malignant lung lesions without causing a significant increase in complication rates.
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To compare the accuracy of a robotic interventional radiologist (IR) assistance platform with a standard freehand technique for computed-tomography (CT)-guided biopsy and simulated radiofrequency ablation (RFA). The accuracy of freehand single-pass needle insertions into abdominal phantoms was compared with insertions facilitated with the use of a robotic assistance platform (n = 20 each). Post-procedural CTs were analysed for needle placement error. Percutaneous RFA was simulated by sequentially placing five 17-gauge needle introducers into 5-cm diameter masses (n = 5) embedded within an abdominal phantom. Simulated ablations were planned based on pre-procedural CT, before multi-probe placement was executed freehand. Multi-probe placement was then performed on the same 5-cm mass using the ablation planning software and robotic assistance. Post-procedural CTs were analysed to determine the percentage of untreated residual target. Mean needle tip-to-target errors were reduced with use of the IR assistance platform (both P < 0.0001). Reduced percentage residual tumour was observed with treatment planning (P = 0.02). Improved needle accuracy and optimised probe geometry are observed during simulated CT-guided biopsy and percutaneous ablation with use of a robotic IR assistance platform. This technology may be useful for clinical CT-guided biopsy and RFA, when accuracy may have an impact on outcome. • A recently developed robotic intervention radiology assistance platform facilitates CT-guided interventions. • Improved accuracy of complex needle insertions is achievable. • IR assistance platform use can improve target ablation coverage.
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Computed tomography (CT)-compatible robots, both commercial and research-based, have been developed with the intention of increasing the accuracy of needle placement and potentially improving the outcomes of therapies in addition to reducing clinical staff and patient exposure to radiation during CT fluoroscopy. In the case of highly inaccessible lesions that require multiple plane angulations, robotically assisted needles may improve biopsy access and targeted drug delivery therapy by avoidance of the straight line path of normal linear needles. We report our preliminary experience of performing radiofrequency ablation of the liver using a robotic-assisted CT guidance system on 11 patients (17 lesions). Robotic-assisted planning and needle placement appears to have high accuracy, is technically easier than the non-robotic-assisted procedure, and involves a significantly lower radiation dose to both patient and support staff. • An early experience of robotic-assisted radiofrequency ablation is reported • Robotic-assisted RFA improves accuracy of hepatic lesion targeting • Robotic-assisted RFA makes the procedure technically easier with significant lower radiation dose.
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Purpose: Percutaneous lung biopsies (PLBs) performed for the evaluation of pulmonary masses require image guidance to avoid critical structures. A new CT navigation system (SIRIO, "Sistema robotizzato assistito per il puntamento intraoperatorio") for PLBs was validated. Methods: The local Institutional Review Board approved this retrospective study. Image-guided PLBs in 197 patients were performed with a CT navigation system (SIRIO). The procedures were reviewed based on the number of CT scans, patients' radiation exposure and procedural time recorded. Comparison was performed with a group of 72 patients undergoing standard CT-guided PLBs. Sensitivity, specificity and overall diagnostic accuracy were assessed in both groups. Results: SIRIO-guided PLBs showed a significant reduction in procedure time, number of required CT scans and the radiation dose administered to patients ([Formula: see text]). In terms of diagnostic accuracy, SIRIO proved to be more accurate for small-sized lesions ([Formula: see text]20 mm) than standard CT-guidance. Conclusion: SIRIO proved to be a reliable and effective tool when performing CT-guided PLBs and was especially useful for sampling small ([Formula: see text]20 mm) lesions.
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This report is to complement the original Fleischner Society recommendations for incidentally detected solid nodules by proposing a set of recommendations specifically aimed at subsolid nodules. The development of a standardized approach to the interpretation and management of subsolid nodules remains critically important given that peripheral adenocarcinomas represent the most common type of lung cancer, with evidence of increasing frequency. Following an initial consideration of appropriate terminology to describe subsolid nodules and a brief review of the new classification system for peripheral lung adenocarcinomas sponsored by the International Association for the Study of Lung Cancer (IASLC), American Thoracic Society (ATS), and European Respiratory Society (ERS), six specific recommendations were made, three with regard to solitary subsolid nodules and three with regard to multiple subsolid nodules. Each recommendation is followed first by the rationales underlying the recommendation and then by specific pertinent remarks. Finally, issues for which future research is needed are discussed. The recommendations are the result of careful review of the literature now available regarding subsolid nodules. Given the complexity of these lesions, the current recommendations are more varied than the original Fleischner Society guidelines for solid nodules. It cannot be overemphasized that these guidelines must be interpreted in light of an individual's clinical history. Given the frequency with which subsolid nodules are encountered in daily clinical practice, and notwithstanding continuing controversy on many of these issues, it is anticipated that further refinements and modifications to these recommendations will be forthcoming as information continues to emerge from ongoing research.© RSNA, 2012.
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The diagnostic yield of computed tomography (CT)-guided biopsies is dependent on accurate needle insertion. A laser-assisted angle selection system was custom fabricated and used during a CT-guided lung biopsy. Off-target error was measured comparing standard methods to the laser method while pointing towards the target from the skin. The difference between the planned angle and selected angle using the laser-assisted system was 2°, improved from 12° with the standard method. Although yet to be confirmed, laser-assisted angle selection systems may improve the accuracy of needle placement, which may translate into improved outcomes for certain needle based procedures.
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The objective of this article is to update previous evidence-based recommendations for evaluation and management of individuals with solid pulmonary nodules and to generate new recommendations for those with nonsolid nodules. We updated prior literature reviews, synthesized evidence, and formulated recommendations by using the methods described in the "Methodology for Development of Guidelines for Lung Cancer" in the American College of Chest Physicians Lung Cancer Guidelines, 3rd ed. We formulated recommendations for evaluating solid pulmonary nodules that measure > 8 mm in diameter, solid nodules that measure ≤ 8 mm in diameter, and subsolid nodules. The recommendations stress the value of assessing the probability of malignancy, the utility of imaging tests, the need to weigh the benefits and harms of different management strategies (nonsurgical biopsy, surgical resection, and surveillance with chest CT imaging), and the importance of eliciting patient preferences. Individuals with pulmonary nodules should be evaluated and managed by estimating the probability of malignancy, performing imaging tests to better characterize the lesions, evaluating the risks associated with various management alternatives, and eliciting their preferences for management.
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The novel optical tracking system employs a miniature video camera, mounted on the hub of an interventional needle, to determine the location and orientation of the needle relative to a skin-attached sticker with color reference markers. A computed tomography (CT) scan is used to register the same reference markers to the anatomy in the CT images, and thus, register the needle to the anatomy and to a user-selected target. A computer displays a simulation of the interventional needle on the CT images, providing guidance information to assist a user in directing the needle to the target. Bench testing was performed on a custom phantom to determine the accuracy of this minioptical tracking system. The resulting accuracy data demonstrates a good correlation with phantom coordinates and the CT images.