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Declaration of Relevant Financial Interests or Relationships. Speaker Name: J. Tokuda I have no relevant financial interest or relationship to disclose with regard to the subject matter of this presentation. 3761. Tokuda et al : Accuracy of 3T MRI-guided Prostate Biopsy.
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Declaration of Relevant Financial Interests or Relationships Speaker Name: J. Tokuda I have no relevant financial interest or relationship to disclose with regard to the subject matter of this presentation.
3761 Tokuda et al : Accuracy of 3T MRI-guided Prostate Biopsy Preliminary Accuracy Evaluation of 3T MRI-guided Transperineal Prostate Biopsy with Grid Template J. Tokuda1, K. Tuncali1, I. Iordachita2, S-E. Song1, A. Fedorov1, S. Oguro1, A. Lasso3, F. M. Fennessy1, Y. Tang1, C. M. Tempany1, N. Hata1 1Department of Radiology, Brigham and Women’s Hospital, Boston, MA, USA 2The Johns Hopkins University, Baltimore, MD, USA 3School of Computing, Queen’s University, Kingston, ON, Canada
MRI-guided Prostate Biopsy • Alternative to conventional Transrectal ultrasound (TRUS)-guided biopsy • Better delineation of prostate and substructures • For patients with rising PSA level and negative TRUS-guided biopsies • Approaches • Transperineal biopsy in 0.5 T open MRI[1] • Transrectal biopsy in 1.5 – 3T closed- bore MRI with supporting devices [2, 3] [1] D’Amico AV et al., J Urol, 2000; 164(2):385-387 [2] Susil RC, et al. Magn Reson Med 2004;52(3):683-687. [3] Hambrock T, et al. Invest Radiol 2008;43(10):686-694.6.
MRI-guided Prostate Biopsy • Transperineal Prostate Biopsy in 3 T MRI? • Superior image quality to 1.5 T MRI • Better approach for lesions in central gland • Suitable for patients who are unable to have: • TRUS / MRI with endorectal coil • transrectal guiding device • Needs for supporting devices / software for transperineal prostate biopsy in 3T MRI • Wide-bore (70 cm) 3T MRI
Objectives • Development of device/software to support transperineal prostate biopsy guided by wide-bore 3T MRI • Prostate intervention table • Template calibration using fiducial frame • Navigation software • Feasibility study: targeting accuracy evaluation • Preliminary evaluation in first 5 patients in ongoing clinical study
Prostate Intervention Table • Supporting a patient in lithotomy position (A) Base board (B) Leg support (C) Stationary frame (D) Template (plexiglas) (E) “Z-frame” (D) (E) (B) (C), (D) (B) (A)
Template Calibration • Calibration by Z-shaped fiducial (Z-frame) • Automatic estimation of position and orientation of Z-frame from cross-sectional image • 3D FLASH (Matrix: 256x256x20, FOV: 16cm) Z-frame Template
Navigation Software • 3D Slicer [4] with ProstateNav Plug-in module [5] • Registration of pre- and intra-procedural images using B-Spline deformable registration • Target planning • Template calibration • Hole selection • Confirmation [4] http://www.slicer.org/ [5] Tokuda J, et al. Comput Med Imaging Graph, 2010; 34(1):3-8
Clinical Workflow • Initial setup > Adjust leg holders • Drape / cleaning • Stationary frame • Template and Z-frame > Adjust template position > Template registration • Needle Insertion
Clinical Workflow • Initial setup > Adjust leg holders • Drape / cleaning • Stationary frame • Template and Z-frame > Adjust template position > Template registration • Needle Insertion
Clinical Workflow • Initial setup > Adjust leg holders • Drape / cleaning • Stationary frame • Template and Z-frame > Adjust template position > Template registration • Needle Insertion
Clinical Workflow • Initial setup > Adjust leg holders • Drape / cleaning • Stationary frame • Template and Z-frame > Adjust template position > Template registration • Needle Insertion
Clinical Workflow • Initial setup > Adjust leg holders • Drape / cleaning • Stationary frame • Template and Z-frame > Adjust template position > Template registration • Needle Insertion
Clinical Study • Core biopsy needle • 18G / diamond-shaped tip* • Imaging • Tumor identification with preprocedural MRI** (T2w, DWI, DCE-MRI) with endorectal coil*** • Planning with intraprocedural T2w MRI (2D TSE)**** • Confirmation image (2D FISP) **** * MRI Bio Gun, E-Z-EM, Westbury, NY ** Signa HDx 15.0 (3T), GE Healthcare, Waukesha, WI *** MEDRAD eCoil, MEDRAD Inc., Warrendale, PA **** MAGNETOM Verio 3T VB17, Siemens AG, Erlangen, Germany
Targeting Accuracy Evaluation • First 5 patients (age: 57 – 73) • 2D root mean square error (RMS) between: • Center of needle artifact on confirmation image • Planned target • No consideration of error in depth direction • Sampling 20 mm core along needle axis
Real-time MRI of Needle Insertion * 5 times faster than actual speed
Results in 5 Cases • 2D targeting error: 4.9 mm • All cases successfully completed • Mean number of target locations: 4 / case • Mean number of cores: 7 / case • Mean time of procedure: 107 ± 15 min.
Discussions and Conclusions • Targeting error is less than the error in MRI-guided prostate biopsy in 0.5 T open MRI (6.5 mm) [6] • Possible error sources: • Miscalibration of the template • Gap between holes on the template (5 mm) • Needle bending • MRI-guided prostate biopsy in wide-bore 3T MRI using prostate intervention table and 3D Slicer was feasible [6] Blumenfeld P., et al. J Magn Reson Imaging 2007; 26(3):688-694
Related Presentations • (Oral) 53: Tuncali K, et al. 3T MRI-guided ransperineal Targeted Prostate Biopsy: Clinical Feasibility, Safety, and Early Results. Session: Prostate Cancer @ Room 518‐A‐C Date/Time: Monday, May 9, 12:48-13:00 • (E-poster) 3055: Fedorov A, et al. Hierarchical Image Registration for Improved Sampling during 3T MRI-guided Transperineal Targeted Prostate Biopsy Date/Time: Thursday, May 12, 13:30-15:30 Presentation: 14:30-15:00 • (Poster) : Franco F, et al. Correaltion of Histology from MR-guided Transperineal Prostate biopsy with Multiparametric MR Imaging: A Feasibility Study. Session: Prostate Cancer (Clinical Studies) Date/Time: Tuesday, May 10, 13:30-15:30
Acknowledgements This work is supported by R01CA111288, P41RR019703, P01CA067165, U01CA151261, and U54EB005149 from NIH. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH. Authors thank Angela Kanan, Nancy Trane, Colleen Huether, and other nurses and MR technicians for their help.