Comparison of PET/CT and whole-mount histopathology sections of the human prostate: a new strategy for voxel-wise evaluation

Comparison of PET/CT and whole-mount histopathology sections of the human prostate: a new strategy for voxel-wise evaluation

Background Implementation of PET/CT in diagnosis of primary prostate cancer (PCa) requires a profound knowledge about the tracer, preferably from a quantitative evaluation. Direct visual comparison of PET/CT slices to whole prostate sections is hampered by considerable uncertainties from imperfect c...

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Bibliographic Details
Published in:EJNMMI physics 2017-08, Vol.4 (1), p.21-21, Article 21
Main Authors: Schiller, F., Fechter, T., Zamboglou, C., Chirindel, A., Salman, N., Jilg, C.A., Drendel, V., Werner, M., Meyer, P.T., Grosu, A.-L., Mix, M.
Format: Article
Language:eng
Subjects:
Applied and Technical Physics
Cancer
Computational Mathematics and Numerical Analysis
Computed tomography
Coregistration
Correlation analysis
Engineering
Histopathology
Imaging
Medicine
Medicine & Public Health
Nuclear Medicine
Original Research
Prostate
Prostate cancer
PSMA PET/CT
Quantitative analysis
Radiology
Spatial resolution
Three dimensional models
Voxel-wise
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Summary:Background Implementation of PET/CT in diagnosis of primary prostate cancer (PCa) requires a profound knowledge about the tracer, preferably from a quantitative evaluation. Direct visual comparison of PET/CT slices to whole prostate sections is hampered by considerable uncertainties from imperfect coregistration and fundamentally different image modalities. In the current study, we present a novel method for advanced voxel-wise comparison of histopathology from excised prostates to pre-surgical PET. Resected prostates from eight patients who underwent PSMA-PET/CT were scanned (ex vivo CT) and thoroughly pathologically prepared. In vivo and ex vivo CT including histopathology were coregistered with three different methods (manual, semi−/automatic). Spatial overlap after CT-based registration was evaluated with dice similarity (DSC). Furthermore, we constructed 3D cancer distribution models from histopathologic information in various slices. Subsequent smoothing reflected the intrinsically limited spatial resolution of PSMA-PET. The resulting histoPET models were used for quantitative analysis of spatial histopathology-PET pattern agreement focusing on p values and coefficients of determination ( R 2 ). We examined additional rigid mutual information (MI) coregistration directly based on PSMA-PET and histoPET. Results Mean DSC for the three different methods (ManReg, ScalFactReg, and DefReg) were 0.79 ± 0.06, 0.82 ± 0.04, and 0.90 ± 0.02, respectively, while quantification of PET-histopathology pattern agreement after CT-based registration revealed R 2 45.7, 43.2, and 41.3% on average with p  
ISSN:2197-7364
2197-7364