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Radiomics predicts the heterogeneity and prognosis of high-grade serous ovarian cancer
HU He  ZHANG Tong  YANG Jiao  GAO Kaihua  WU Hui 

Cite this article as: HU H, ZHANG T, YANG J, et al. Radiomics predicts the heterogeneity and prognosis of high-grade serous ovarian cancer[J]. Chin J Magn Reson Imaging, 2023, 14(6): 176-181. DOI:10.12015/issn.1674-8034.2023.06.032.

[Abstract] Ovarian cancer represents the most lethal gynecological malignancy. Although treatment options for ovarian cancer has been matured, patient survival and prognosis have only improved slightly in the recent years. Many studies have hypothesized that this is because tumor heterogeneity determines the different patient response to treatment and prognosis. Actually, CT and MRI images contain a large amount of tumor heterogeneity information that is difficult to identify with the naked eye, which can reflect the prognosis of tumors. Therefore, some scholars have proposed that radiomics be used to extract quantitative features to assess tumor heterogeneity and then analyze and model according to specific clinical problems. This article reviews the application of radiomics in the preoperative prediction of high-grade serous ovarian cancer heterogeneity and survival, lymph node or peritoneal metastasis, postoperative tumor residual, postoperative response to chemotherapy and platinum resistance. It found that the lack of standardization, poor reproducibility and few prospective samples in current studies. In addition, the association between radiomics and high-grade serous ovarian cancer heterogeneity and prognosis-related genomics has good research prospects. It is hoped that it can provide more new directions for future research.
[Keywords] high-grade serous ovarian cancer;radiomics;magnetic resonance imaging;heterogenicity;metastasis;prognosis

HU He   ZHANG Tong   YANG Jiao   GAO Kaihua   WU Hui*  

Medical Imaging Department, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China

Corresponding author: Wu H, E-mail:

Conflicts of interest   None.

ACKNOWLEDGMENTS Natural Science Foundation of Inner Mongolia Autonomous Region (No. 2021MS08026); the Open Fund of the Key Laboratory of the Affiliated Hospital of Inner Mongolia Medical University (No. 2022NYFYSY006).
Received  2022-11-23
Accepted  2023-04-07
DOI: 10.12015/issn.1674-8034.2023.06.032
Cite this article as: HU H, ZHANG T, YANG J, et al. Radiomics predicts the heterogeneity and prognosis of high-grade serous ovarian cancer[J]. Chin J Magn Reson Imaging, 2023, 14(6): 176-181. DOI:10.12015/issn.1674-8034.2023.06.032.

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