Abdominopelvic Imaging: GynecologicRadiogenomics: A Valuable Tool for the Clinical Assessment and Research of Ovarian CancerLi, Beibei PhD∗; Sun, Mingli BS†; Yao, Peng MS∗; Chang, Zhihui PhD∗; Liu, Zhaoyu PhD∗ Author Information From the ∗Department of Radiology, Shengjing Hospital of China Medical University †General Party Branch of the Second Clinical Department, China Medical University, Shenyang, People's Republic of China. Received for publication September 11, 2021; accepted November 15, 2021. Correspondence to: Zhaoyu Liu, PhD, Department of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No. 36, Heping District, Shenyang, Liaoning, People's Republic of China (e-mail: [email protected]). The authors declare no conflict of interest. Journal of Computer Assisted Tomography: 5/6 2022 - Volume 46 - Issue 3 - p 371-378 doi: 10.1097/RCT.0000000000001279 Buy Metrics Abstract A new interdisciplinary approach based on medical imaging phenotypes, gene expression patterns, and clinical parameters, referred to as radiogenomics, has recently been developed for biomarker identification and clinical risk stratification in oncology, including for the assessment of ovarian cancer. Some radiological phenotypes (implant distribution, lymphadenopathy, and texture-derived features) are related to specific genetic landscapes (BRCA, BRAF, SULF1, the Classification of Ovarian Cancer), and integrated models can improve the efficiency for predicting clinical outcomes. The establishment of databases in medical images and gene expression profile with large sample size and the improvement of artificial intelligence algorithm will further promote the application of radiogenomics in ovarian cancer. Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.