Deirdre M McGrath1, Jenny Lee1, Warren D Foltz1, Navid Samavati2, Michael A S Jewett3, Theo van der Kwast4, Peter Chung5, Cynthia Ménard6, Kristy K Brock7. 1. Radiation Medicine Program, Princess Margaret Hospital, University Health Network, Toronto, Ontario M5G 2M9, Canada. 2. Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada. 3. Departments of Surgery (Urology) and Surgical Oncology, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario M5G 2M9, Canada. 4. Pathology Department, University Health Network, Toronto, Ontario M5G 2C4, Canada. 5. Radiation Medicine Program, Princess Margaret Hospital, University Health Network and the University of Toronto, Toronto, Ontario M5G 2M9, Canada. 6. Radiation Medicine Program, Princess Margaret Hospital, University Health Network and the University of Toronto, Toronto, Ontario M5G 2M9, Canada and Centre Hospitalier de l'Université de Montréal, 1058 Rue Saint-Denis, Montréal, Québec H2X 3J4, Canada. 7. Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48108.
Abstract
PURPOSE: Validation of MRI-guided tumor boundary delineation for targeted prostate cancer therapy is achieved via correlation with gold-standard histopathology of radical prostatectomy specimens. Challenges to accurate correlation include matching the pathology sectioning plane with the in vivo imaging slice plane and correction for the deformation that occurs between in vivo imaging and histology. A methodology is presented for matching of the histological sectioning angle and position to the in vivo imaging slices. METHODS: Patients (n = 4) with biochemical failure following external beam radiotherapy underwent diagnostic MRI to confirm localized recurrence of prostate cancer, followed by salvage radical prostatectomy. High-resolution 3-D MRI of the ex vivo specimens was acquired to determine the pathology sectioning angle that best matched the in vivo imaging slice plane, using matching anatomical features and implanted fiducials. A novel sectioning device was developed to guide sectioning at the correct angle, and to assist the insertion of reference dye marks to aid in histopathology reconstruction. RESULTS: The percentage difference in the positioning of the urethra in the ex vivo pathology sections compared to the positioning in in vivo images was reduced from 34% to 7% through slicing at the best match angle. Reference dye marks were generated, which were visible in ex vivo imaging, in the tissue sections before and after processing, and in histology sections. CONCLUSIONS: The method achieved an almost fivefold reduction in the slice-matching error and is readily implementable in combination with standard MRI technology. The technique will be employed to generate datasets for correlation of whole-specimen prostate histopathology with in vivo diagnostic MRI using 3-D deformable registration, allowing assessment of the sensitivity and specificity of MRI parameters for prostate cancer. Although developed specifically for prostate, the method is readily adaptable to other types of whole tissue specimen, such as mastectomy or liver resection.
PURPOSE: Validation of MRI-guided tumor boundary delineation for targeted prostate cancer therapy is achieved via correlation with gold-standard histopathology of radical prostatectomy specimens. Challenges to accurate correlation include matching the pathology sectioning plane with the in vivo imaging slice plane and correction for the deformation that occurs between in vivo imaging and histology. A methodology is presented for matching of the histological sectioning angle and position to the in vivo imaging slices. METHODS:Patients (n = 4) with biochemical failure following external beam radiotherapy underwent diagnostic MRI to confirm localized recurrence of prostate cancer, followed by salvage radical prostatectomy. High-resolution 3-D MRI of the ex vivo specimens was acquired to determine the pathology sectioning angle that best matched the in vivo imaging slice plane, using matching anatomical features and implanted fiducials. A novel sectioning device was developed to guide sectioning at the correct angle, and to assist the insertion of reference dye marks to aid in histopathology reconstruction. RESULTS: The percentage difference in the positioning of the urethra in the ex vivo pathology sections compared to the positioning in in vivo images was reduced from 34% to 7% through slicing at the best match angle. Reference dye marks were generated, which were visible in ex vivo imaging, in the tissue sections before and after processing, and in histology sections. CONCLUSIONS: The method achieved an almost fivefold reduction in the slice-matching error and is readily implementable in combination with standard MRI technology. The technique will be employed to generate datasets for correlation of whole-specimen prostate histopathology with in vivo diagnostic MRI using 3-D deformable registration, allowing assessment of the sensitivity and specificity of MRI parameters for prostate cancer. Although developed specifically for prostate, the method is readily adaptable to other types of whole tissue specimen, such as mastectomy or liver resection.
Authors: Vijay Shah; Thomas Pohida; Baris Turkbey; Haresh Mani; Maria Merino; Peter A Pinto; Peter Choyke; Marcelino Bernardo Journal: Rev Sci Instrum Date: 2009-10 Impact factor: 1.523
Authors: Deanna L Langer; Theodorus H van der Kwast; Andrew J Evans; Anna Plotkin; John Trachtenberg; Brian C Wilson; Masoom A Haider Journal: Radiology Date: 2010-05 Impact factor: 11.105
Authors: Deanna L Langer; Theodorus H van der Kwast; Andrew J Evans; John Trachtenberg; Brian C Wilson; Masoom A Haider Journal: J Magn Reson Imaging Date: 2009-08 Impact factor: 4.813
Authors: Cynthia Ménard; Robert C Susil; Peter Choyke; Gary S Gustafson; William Kammerer; Holly Ning; Robert W Miller; Karen L Ullman; Nancy Sears Crouse; Sharon Smith; Etienne Lessard; Jean Pouliot; Victor Wright; Elliot McVeigh; C Norman Coleman; Kevin Camphausen Journal: Int J Radiat Oncol Biol Phys Date: 2004-08-01 Impact factor: 7.038
Authors: Masoom A Haider; Peter Chung; Joan Sweet; Ants Toi; Kartik Jhaveri; Cynthia Ménard; Padraig Warde; John Trachtenberg; Gina Lockwood; Michael Milosevic Journal: Int J Radiat Oncol Biol Phys Date: 2007-09-19 Impact factor: 7.038
Authors: Masoom A Haider; Theodorus H van der Kwast; Jeff Tanguay; Andrew J Evans; Ali-Tahir Hashmi; Gina Lockwood; John Trachtenberg Journal: AJR Am J Roentgenol Date: 2007-08 Impact factor: 3.959
Authors: G J Jager; E T Ruijter; C A van de Kaa; J J de la Rosette; G O Oosterhof; J R Thornbury; J O Barentsz Journal: AJR Am J Roentgenol Date: 1996-04 Impact factor: 3.959
Authors: Deirdre M McGrath; Jenny Lee; Warren D Foltz; Navid Samavati; Theo van der Kwast; Michael A S Jewett; Peter Chung; Cynthia Ménard; Kristy K Brock Journal: Phys Med Biol Date: 2017-02-07 Impact factor: 3.609
Authors: Harrison Kim; John V Thomas; Jeffrey W Nix; Jennifer B Gordetsky; Yufeng Li; Soroush Rais-Bahrami Journal: Acad Radiol Date: 2020-03-27 Impact factor: 3.173