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• Clinical Article •
Multiparameter MRI radiomics predicts preoperative peritoneal metastasis in patients with epithelial ovarian cancer
YU Xiaoyu  WU Hui  NIU Guangming  REN Jialiang  YU Na  QIAN Luodan  WU Jing 

Cite this article as: Yu XY, Wu H, Niu GM, et al. Multiparameter MRI radiomics predicts preoperative peritoneal metastasis in patients with epithelial ovarian cancer[J]. Chin J Magn Reson Imaging, 2021, 12(8): 44-48. DOI:10.12015/issn.1674-8034.2021.08.009.


[Abstract] Objective To evaluate the predictive value of radiomics based on multi-parameter magnetic resonance imaging (MP-MRI) for epithelial ovarian cancer (EOC) peritoneal metastasis. Materials andMethods A retrospective collection of 86 patients with EOC was included in the study. All patients underwent axial lipid suppression (FS) T2WI, diffusion weighted imaging (DWI) and dynamic enhancement (DCE) T1WI scans, and then underwent total double appendage resection. Quantitative imaging features were extracted from the preoperative FS-T2WI, DWI and DCE-T1WI images of each patient, and a radiomic model was established to evaluate the ability of radiomic features to distinguish peritoneal metastases. In addition, a clinical model was established. Finally, combined with radiomic characteristics and clinicopathological risk factors, a radiomic nomogram was constructed, and the receiver operating characteristic curve (ROC), area under the curve (AUC), calibration curve and clinical practicality to evaluate the predictive performance of the radiomics nomogram.Results The radiomic model derived from the MP-MRI combined sequence had a higher AUC than the model derived from FS-T2WI, DWI, and DCE-T1WI alone (0.865 vs. 0.749, 0.765, 0.736). The nomogram (AUC=0.953) showed a better diagnostic effect than the clinical model (AUC=0.819) and the omics model (AUC=0.865). The analysis of the decision curve shows that the nomogram has good clinical application value.Conclusions The radiomic nomogram based on the combined sequence of MP-MRI shows good predictive accuracy for peritoneal metastasis. This non-invasive and reliable tool can be used to identify peritoneal metastases in EOC patients before surgery.
[Keywords] epithelial ovarian cancer；peritoneal metastasis；radiomics；magnetic resonance imaging；multiparameter

YU Xiaoyu1   WU Hui1   NIU Guangming1*   REN Jialiang2   YU Na1   QIAN Luodan1   WU Jing1  

1 Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Inner Mongolia, Huhhot 010050, China

2 GE Healthcare, Beijing 100176, China

Niu GM, E-mail: Cjr.niuguangming@vip.163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS This work was part of Natural Science Foundation of Inner Mongolia Autonomous Region (No. 2020MS08128).
Received  2021-04-01
Accepted  2021-05-20
DOI: 10.12015/issn.1674-8034.2021.08.009
Cite this article as: Yu XY, Wu H, Niu GM, et al. Multiparameter MRI radiomics predicts preoperative peritoneal metastasis in patients with epithelial ovarian cancer[J]. Chin J Magn Reson Imaging, 2021, 12(8): 44-48. DOI:10.12015/issn.1674-8034.2021.08.009.

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