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Technical Note: Method to correlate whole‐specimen histopathology of radical prostatectomy with diagnostic MR imaging
Author(s) -
McGrath Deirdre M.,
Lee Jenny,
Foltz Warren D.,
Samavati Navid,
Jewett Michael A. S.,
Kwast Theo,
Chung Peter,
Ménard Cynthia,
Brock Kristy K.
Publication year - 2016
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4941016
Subject(s) - prostatectomy , histopathology , ex vivo , fiducial marker , prostate cancer , magnetic resonance imaging , gold standard (test) , prostate , in vivo , medicine , nuclear medicine , medical imaging , biomedical engineering , radiology , pathology , cancer , biology , microbiology and biotechnology
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.