Robot-assisted Prostate Cancer Interventions
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1 Robot-assisted Prostate Cancer Interventions Gabor Fichtinger, Ph.D. Professor and Cancer Care Ontario Research Chair Queen s University, Canada
2 Acknowledgements Axel Krieger, Robert Susil, Siddharth Vikal, Csaba Csoma, Iulian Iordachita, Louis Whitcomb, Peter Guion, Cynthia Menard, Jonathan Coleman, Andras Lasso, Junichi Tokuda, Noby Hata, Helen Xu, Hadi Tadayyon, Yi Gao, Allan Tannenbaum Clif Burdette, Danny Son, Peter Kazanzides, Jonathnan Fiene, Christopher Kennedy, Gernot Kronreif CFI
3 Prostate and what it does
4 Prostate cancer stats 1 Over 1M biopsies 240,000 new prostate cancer cases Likely double by 2025 Great many negative biopsies 30,000 deaths >90% long term DFS w/ early stage disease Local control is quite effective Quality of life matters the most 1 Jemal et al. Cancer statistics, CA Cancer J. Clin. (2010)
5 Standard of care: TRUS biopsy Cancers as large as a sugar cube may be missed
6 Why MRI? No ionizing radiation High soft-tissue contrast High resolution imaging True 3D volumetric imaging Multi-parametric imaging T1/T2 weighting, Functional, Diffusion, Flow, Temperature, Oxygenation, Can provide real-time imaging capabilities MRI TRUS
7 Extreme environment PLAY MOVIE
8 Point & Click concept MRI Scanner Physician Targeting Parameters Robot Physician s Interface Position Real-time Tracking System Patient Images MRI Scanner Computer Fichtinger et al. MICCAI, 2002
9 Kinematic design Needle Rectum wall 3 End-effector 2 1 Decoupled 3DOF 1. Translate 2. Rotate 3. Insert needle Prostate Fichtinger et al. MICCAI, 2002
10 Active MRI tracking Signal projection for one tracking coil Needle Intrarectal imaging coil Tracking coil Movable needle guide Stationary rectal sheath Krieger et al. IEEE TMBE, 2005
11 Open Source & Open Architecture Rapid prototyping of new apps Predictable performance Faster regulatory approval Sharing among institutions Tokuda et al. J. CMIG, 2009 Lasso et al. ImNO, 2011
12 Patient imaging Susil et al. J. Urol, 2006
13 Calibration Lasso et al. NAMIC, 2010
14 Modeling Gao et al. IEEE TMI 2010
15 Target planning Lasso et al. NAMIC, 2010
16 Population based planning Left STATISTICAL CANCER ATLAS Apex Anterior Posterior 98% sensitivity 3 Right Base ATLAS WARPED TO PATIENT We would miss only 4 cancers out of the 200 if we biopsied those men today 200 prostates w/ whole mount pathology Shen et al. MedIA, 2004 Zhan et al. IEEE TMI, 2007 Zou et al. MedIA, 2009 INTRA-OP RECONSTRUCTION FROM MRI
17 Execution Susil et al. J. Urol, 2006
18 Real-time monitoring GOOD DEPOSITION REFLUXED INJECTION Transrectal robotic needle placement Monitoring at 10fps Chowing et al. Prostate, 2006
19 Verification Lasso et al. NAMIC, 2010
20 Verification (close-up) Susil et al. J. Urol, 2006
21 Five-year retrospective Xu et al. MICCAI 2010
22 Target motion tracking Moving prostate volume & fixed MRI slices Final TRE Simulation results Initial TRE Mean TRE: 0.83mm STD=0.54mm Failure rate on first run: 9% Final failure rate: 0% Gill et al. SMIT 2008
23 Target motion tracking Rigid Deformable Patient 1 Patient 2 Patient 3 Overall Initial target Displacement Tracking Error Registration Time Tracking Error Registration Time Fixed prostate Moving prostate Fixed prostate Rigidly registered prostate Fixed prostate Non-rigidly registered Tadayyon et al. SPIE Med Imaging 2010 Tadayyon et al. IEEE EMBS 2010 Tadayyon et al. IEEE TBME 2011
24 Hybrid tracking Krieger et al. IEEE TBME 2011
25 Hybrid tracking clinical result Target Selection Target #1 Target #2 Target #4 Targets Needle Confirmation Error: 1.8 mm 1.3 mm 0.3 mm Singh et al. Radiation Oncology, 2007
26 Actuated prostate robot design Krieger et al. IEEE ASME (in press)
27 Actuated rotation stage Krieger et al. IEEE TBME (in press)
28 Actuated translation stage Krieger et al. IEEE TBME (in press)
29 Transperineal in-mr intervention Fischer et al., IEEE Trans Robotics, 2008
30 TRUS-guided brachytherapy > operations each year in North America Iodine-125 (T2=60 days) or Palladium-103 (T2=17 days)
31 Plan v.s. actual implant Reduce needle Implants NEVER turn adjustments out to be what & was planned System miscalibration needle time in Organ motion & deformation prostate Needle bending Edema
32 Intra-operative seed migration Intensity-based Registration of TRUS & fluoroscopy (iruf) FTRAC Colds spots on exit dosimetry Average 4 extra seeds (max 9) Edema: ~5.0mm (12mm max) Template TRUS Probe Fallavollita et al. Med Phys 2010 Dehghan et al. MICCAI 2011 Jain et al. MedIA 2011 Song et al. Brachytherapy 2011
33 It s a lot of DOF Sin et al. Nanyang Technological University Yu & Podder et al. MICCAI 2006 Meltsner et al Phys. Med. Biol , 2007
34 Replace template w/ robot Must not alter clinical setup & workflow Fichtinger et al. MedIA, 2008
35 Accurate needle placement w/ TRUS Avg mm (STD=0.50 mm) Relative to TRUS 18 samples over prostate Fichtinger et al. MedIA, 2008
36 Additional benefits of robot Pubic arch interference reduced by slanted needles No apparent interference with stabilization needles Prostates >55cc, about ⅓ of candidates Fichtinger et al. MedIA, 2008
37 Phase-I clinical trial Song et al. Brachytherapy 2011
38 Surprising results Summary table XY adjustments 3 mm #1 #2 #3 #4 #5 Total Prostate volume (cc) Total needles inserted Total planned needles Inserted with robot Inserted manually Adjustments to calibration (home) Adjustments to correct needle pos > 2 mm in X > 2 mm in Y > 4 mm in X > 4 mm in Y Adjustments to modify plan > 2 mm in X > 2 mm in Y > 4 mm in X > 4 mm in Y Prostate Song et al. Brachytherapy 2011 Implant time 1:21 0:53 1:04 0:51 1:05
39 How can we get here? Committed teams Focus on systems Address needs Be reductionist Rapid iteration Measurable goals Have fun! Image borrowed from Russ Taylor
40 Thank You!
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