Alexander Squires1, Sheng Xu2, Reza Seifabadi2, Yue Chen1, Harsh Agarwal3, Marcelino Bernardo2, Ayele Negussie2, Peter Pinto2, Peter Chokye2, Bradford Wood2, and Zion Tsz Ho Tse1
1College of Engineering, University of Georgia, Athens, GA, United States, 2National Institutes of Health, Bethesda, MD, United States, 3Philips Research North America, Briarcliff Manor, NY, United States
Synopsis
MRI-guided focal
laser ablation (FLA) shows promise as an effective treatment for prostate
cancer, but presents challenges related to accurate catheter positioning and
ablation monitoring. A catheter positioning robot was designed to overcome
these problems by positioning the catheter optimally for ablation and
monitoring the ablation via MRI thermometry. A remote insertion guide allows
the surgeon to perform the procedure without removing the patient from the MRI
bore, saving time and increasing accuracy. Treatment planning software
iteratively plans optimal catheter positioning. Preliminary tests show the robot
can greatly improve efficiency and accuracy without sacrificing image quality.Purpose
Most
of the 240,000 men in the US diagnosed with prostate cancer annually [1] have low-risk, organ-confined disease
eligible for targeted therapy, which spares patients from undesired side
effects [2]. Focal Laser Ablation (FLA) rapidly
heats targeted cancerous tissue using a laser catheter. Despite its minimally
invasive nature, FLA has several technical limitations, mostly related to the
difficulty of (1) locating the tumor accurately during surgery; (2) placing the
catheter safely to fully ablate the tumor, which can require several placements
for large tumors; and (3) monitoring the ablation zone.
In
this paper, a robotic system was designed to improve MRI-guided prostate FLA.
We hypothesized that accurate placements of laser catheters could be achieved
under MRI guidance and robotic positioning, avoiding unnecessary gland
punctures and ensuring the ablation covers the entire tumor, maximizing the
utility of a minimally invasive system. The
plan could be updated iteratively after each ablation using preoperative
parametric MRI information combined with intraoperative MR thermometry [3].
Methods
Robotic
Positioner
In
an MRI setting, any robotic system must be made of plastics and small amounts
of non-ferromagnetic metals for patient safety and image quality. Space in the cylindrical bore (55-70cm) of an
MRI scanner is limited, and the small size of the prostate requires that the
robot must occupy a square targeting region of approximately 50mm in the
transverse plane; additional space between the needle guide and the bore
opening is necessary to permit operation.
The
design solution chosen is a slim robot design built around a Core-XY belt
system (Fig. 1a). Targeting is controlled by two pneumatic motors attached to a
single belt. A pair of fiber optic lines is integrated with each motor,
generating quadrature pulses for positional encoding with a resolution of 0.005o.
The
robot registers on the MRI coordinate system using five gadolinium fiducial
markers (PinPoint, Beekley Inc., USA). This robot uses Visualase® laser
ablation catheter kits.
Remote
Insertion
A
remote insertion guide (Fig. 1b) allows the user standing at the bore opening
to insert the catheter under real-time MRI guidance. The remote insertion guide
is aligned manually with the robot, and the catheter moves through the guide to
the robot. The alignment cone (Fig. 1c) funnels the inserted catheter into the
end-effector needle guide.
Software
& Control
A
LabVIEW™ (National Instruments, Austin, TX) interface displays the targeting workspace,
end effector position, and controlled target position. Operators drive the end
effector either manually or automatically. A position-seeking algorithm targets
the tumor. The required motor rotations are calculated based on the desired
change in position. Optical encoding tracks the current position. PID modulated
PWM compressed air supply controls the motors.
Accuracy
& Efficacy Testing
The
system was tested for MRI compatibility, insertion accuracy, and workflow
streamlining in a clinical 3.0T MRI system at the National Institutes of Health
Clinical Center.
Results
MRI
Compatibility
The signal-to-noise (SNR) ratios of MR
images in a homogenous phantom filled with CuO4 dilated saline were measured
with the robot (1) absent, (2) present, and (3) in motion. The maximum SNR
variation was within the acceptable range at <7.5%.
Accuracy
Validated in MRI
Insertion
accuracy was tested by performing brachytherapy seed placement on a prostate
phantom (Fig. 2a-d). The positioning errors for the seed placements (n=10) were
μ=0.9mm, σ=0.4mm perpendicular to the insertion axis, and μ=1.9mm, σ=2.7mm parallel
to the insertion axis. The seed positions were calculated from a volumetric
scan with perpendicular pixels of 1.18mm per side and image slices 3.5mm thick.
System
Efficacy
Catheter
ablation accuracy was also measured in trials with anatomical prostate phantoms
with physical tumors (n=5) and temperature-sensitive phantoms with virtual
tumors (n=8). Ablation position error was under 2mm (μ=1.7mm, σ=0.2mm). In
every test (Fig. 2e), 100% of the tumor volume was ablated.
Conclusions
The robot was tested as an assistive
technology for MRI-guided laser ablations. This FLA system increases accuracy
in needle placement while enabling manually-driven remote insertions. The
target tumor volumes were ablated according to the treatment plan, preserving
the surrounding tissue regions. Future work includes animal and human studies
to validate the effectiveness of the robot and software for MRI-guided FLA.
Acknowledgements
No acknowledgement found.References
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R, Ma J, Zou Z, Jemal A. Cancer statistics, 2014. CA: A Cancer Journal for
Clinicians 2014;64(1):9-29.
[2] O.
Raz, M. A. Haider, S. R. Davidson, U. Lindner, E. Hlasny, R. Weersink, et al.,
"Real-time magnetic resonance imaging–guided focal laser therapy in
patients with low-risk prostate cancer," European urology, vol. 58, pp.
173-177, 2010.
[3] S. Xu,
J. Kruecker, H. Amalou, J. T. Kwak, and B. J. Wood, "Real-time treatment
iterative planning for composite ablations," presented at the Computer
Assisted Radiology and Surgery 28th International congress and Exhibition,
Fukuoka, Japan, 2014.