MRI is an ideal imaging tool for guiding and monitoring prostate cancer biopsy and local therapy. The high sensitivity and specificity to focal prostate lesions and abnormalities, combined with real-time monitoring of the delivery process and subsequent physiological changes hold great potentials. Unfortunately, closed high-field MRI scanners, the most superior imaging systems, have been unavailable for interventions. The strong magnetic field and confined physical space present formidable challenges, and """"""""conventional"""""""" difficulties such as needle deflection, tissue deformation, and target motion add to the problem. Our teams have established the clinical and technical feasibility for MRI-guided prostate biopsy and therapy. We are proposing to translate this technology outside the confines of our specialized research hospitals. In particular, we will develop a technology platform for precise trans-perineal needle placement into the prostate for both diagnostic and therapeutic purposes;inside conventional (high-field closed) MRI scanners, under real-time image guidance and monitoring. This system will be uniformly applicable to'a wide range of MRI scanners, supporting long bore, short bore, and open magnets of high and low fields alike. The initial applications will be prostate biopsy and low-dose-rate Brachytherapy. This system will be robust, simple, and operable by a multi-disciplinary team of physicians. Toward this goal, we propose a BRP between the Brigham and Women's Hospital, Johns Hopkins University, and CMS Image Guidance Division (formerly Burdette Medical). Our teams have complimentary strengths in MR guided interventions, robotics, and prostate cancer treatment with intraoperative dosimetry. A research triangle has been in de-facto existence for several years and produced shared technology, publications, and inventions;supported by government grants. The Brigham group established the clinical feasibility of MR guided transperineal prostate biopsy and brachytherapy, funded by RO1-5R01AG019513-03 (PI Tempany). The Hopkins team created an in-MRI prostate robot currently in human trials for biopsy and seed placement, co-funded by R01-EB002963-01 (PI: Fichtinger). The Burdette group developed a commercial prostate cancer brachytherapy suite with over 60 installations worldwide, co-funded by NIH grants 5R44CA088139-04 and 1R43CA099374-01 (PI: Burdette). Strong results, multidisciplinary expertise, and existing partnerships support our proposal.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA111288-05
Application #
7858077
Study Section
Special Emphasis Panel (ZRG1-SBIB-J (50))
Program Officer
Farahani, Keyvan
Project Start
2006-07-01
Project End
2011-08-31
Budget Start
2010-06-01
Budget End
2011-08-31
Support Year
5
Fiscal Year
2010
Total Cost
$762,645
Indirect Cost
Name
Brigham and Women's Hospital
Department
Type
DUNS #
030811269
City
Boston
State
MA
Country
United States
Zip Code
02115
Wartenberg, Marek; Schornak, Joseph; Gandomi, Katie et al. (2018) Closed-Loop Active Compensation for Needle Deflection and Target Shift During Cooperatively Controlled Robotic Needle Insertion. Ann Biomed Eng 46:1582-1594
Langkilde, Fredrik; Kobus, Thiele; Fedorov, Andriy et al. (2018) Evaluation of fitting models for prostate tissue characterization using extended-range b-factor diffusion-weighted imaging. Magn Reson Med 79:2346-2358
Moreira, Pedro; Patel, Niravkumar; Wartenberg, Marek et al. (2018) Evaluation of robot-assisted MRI-guided prostate biopsy: needle path analysis during clinical trials. Phys Med Biol 63:20NT02
King, Martin T; Nguyen, Paul L; Boldbaatar, Ninjin et al. (2018) Long-term outcomes of partial prostate treatment with magnetic resonance imaging-guided brachytherapy for patients with favorable-risk prostate cancer. Cancer 124:3528-3535
Tsumura, Ryosuke; Kim, Jin Seob; Iwata, Hiroyasu et al. (2018) Preoperative Needle Insertion Path Planning for Minimizing Deflection in Multilayered Tissues. IEEE Robot Autom Lett 3:2129-2136
Niethammer, Marc; Pohl, Kilian M; Janoos, Firdaus et al. (2017) ACTIVE MEAN FIELDS FOR PROBABILISTIC IMAGE SEGMENTATION: CONNECTIONS WITH CHAN-VESE AND RUDIN-OSHER-FATEMI MODELS. SIAM J Imaging Sci 10:1069-1103
Su, Hao; Shang, Weijian; Li, Gang et al. (2017) An MRI-Guided Telesurgery System Using a Fabry-Perot Interferometry Force Sensor and a Pneumatic Haptic Device. Ann Biomed Eng 45:1917-1928
Su, Hao; Iordachita, Iulian I; Tokuda, Junichi et al. (2017) Fiber Optic Force Sensors for MRI-Guided Interventions and Rehabilitation: A Review. IEEE Sens J 17:1952-1963
Frank, Tobias; Krieger, Axel; Leonard, Simon et al. (2017) ROS-IGTL-Bridge: an open network interface for image-guided therapy using the ROS environment. Int J Comput Assist Radiol Surg 12:1451-1460
Fedorov, Andriy; Vangel, Mark G; Tempany, Clare M et al. (2017) Multiparametric Magnetic Resonance Imaging of the Prostate: Repeatability of Volume and Apparent Diffusion Coefficient Quantification. Invest Radiol 52:538-546

Showing the most recent 10 out of 103 publications