Biparametric MR signal characteristics can predict histopathological measures of prostate cancer
- Authors
- To, Minh Nguyen Nhat; Kwak, Jin Tae
- Issue Date
- 11월-2022
- Publisher
- SPRINGER
- Keywords
- Magnetic resonance imaging; Deep learning; Pathology; Cell count
- Citation
- EUROPEAN RADIOLOGY, v.32, no.11, pp.8027 - 8038
- Indexed
- SCIE
SCOPUS
- Journal Title
- EUROPEAN RADIOLOGY
- Volume
- 32
- Number
- 11
- Start Page
- 8027
- End Page
- 8038
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/147125
- DOI
- 10.1007/s00330-022-08808-1
- ISSN
- 0938-7994
- Abstract
- Objectives The aim of this study was to establish a new data-driven metric from MRI signal intensity that can quantify histopathological characteristics of prostate cancer. Methods This retrospective study was conducted on 488 patients who underwent biparametric MRI (bp-MRI), including T2-weighted imaging (T2W) and apparent diffusion coefficient (ADC) of diffusion-weighted imaging, and having biopsy-proven prostate cancer between August 2011 and July 2015. Forty-two of the patients who underwent radical prostatectomy and the rest of 446 patients constitute the labeled and unlabeled datasets, respectively. A deep learning model was built to predict the density of epithelium, epithelial nuclei, stroma, and lumen from bp-MRI, called MR-driven tissue density. On both the labeled validation set and the whole unlabeled dataset, the quality of MR-driven tissue density and its relation to bp-MRI signal intensity were examined with respect to different histopathologic and radiologic conditions using different statistical analyses. Results MR-driven tissue density and bp-MRI of 446 patients were evaluated. MR-driven tissue density was significantly related to bp-MRI (p < 0.05). The relationship was generally stronger in cancer regions than in benign regions. Regarding cancer grades, significant differences were found in the intensity of bp-MRI and MR-driven tissue density of epithelium, epithelial nuclei, and stroma (p < 0.05). Comparing MR true-negative to MR false-positive regions, MR-driven lumen density was significantly different, similar to the intensity of bp-MRI (p < 0.001). Conclusions MR-driven tissue density could serve as a reliable histopathological measure of the prostate on bp-MRI, leading to an improved understanding of prostate cancer and cancer progression.
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