Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings.

TitleIdentifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings.
Publication TypeJournal Article
Year of Publication2018
AuthorsPenzias, G, Singanamalli A, Elliott R, Gollamudi J, Shih N, Feldman M, Stricker PD, Delprado W, Tiwari S, Böhm M, Haynes A-M, Ponsky L, Fu P, Tiwari P, Viswanath S, Madabhushi A
JournalPloS one
Volume13
Issue8
Paginatione0200730
Date Published2018
ISSN1932-6203
KeywordsHumans, Image Interpretation, Computer-Assisted, magnetic resonance imaging, Male, Neoplasm Grading, Prostatic Neoplasms, Reproducibility of Results, Retrospective Studies, ROC Curve
Abstract

Translation of radiomics into the clinic may require a more comprehensive understanding of the underlying morphologic tissue characteristics they reflect. In the context of prostate cancer (PCa), some studies have correlated gross histological measurements of gland lumen, epithelium, and nuclei with disease appearance on MRI. Quantitative histomorphometry (QH), like radiomics for radiologic images, is the computer based extraction of features for describing tumor morphology on digitized tissue images. In this work, we attempt to establish the histomorphometric basis for radiomic features for prostate cancer by (1) identifying the radiomic features from T2w MRI most discriminating of low vs. intermediate/high Gleason score, (2) identifying QH features correlated with the most discriminating radiomic features previously identified, and (3) evaluating the discriminative ability of QH features found to be correlated with spatially co-localized radiomic features. On a cohort of 36 patients (23 for training, 13 for validation), Gabor texture features were identified as being most predictive of Gleason grade on MRI (AUC of 0.69) and gland lumen shape features were identified as the most predictive QH features (AUC = 0.75). Our results suggest that the PCa grade discriminability of Gabor features is a consequence of variations in gland shape and morphology at the tissue level.

DOI10.1371/journal.pone.0200730
PDF Link

http://www.ncbi.nlm.nih.gov/pubmed/30169514?dopt=Abstract

Alternate JournalPLoS ONE

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