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• Clinical Article •
Preoperative prediction of FIGO stage of epithelial ovarian cancer based on T2-weighted MRI peritumoral and intratumoral radiomics models
WANG Xinyi  WEI Mingxiang  CHEN Shuangqing 

Cite this article as: WANG X Y, WEI M X, CHEN S Q. Preoperative prediction of FIGO stage of epithelial ovarian cancer based on T2-weighted MRI peritumoral and intratumoral radiomics models[J]. Chin J Magn Reson Imaging, 2024, 15(6): 100-106. DOI:10.12015/issn.1674-8034.2024.06.015.


[Abstract] Objective To investigate the accuracy and value of peritumoral and intratumoral radiomics models based on T2-weighted MRI in predicting the International Federation of Gynecology and Obstetrics (FIGO) stage of epithelial ovarian cancer (EOC).Materials and Methods A total of 189 EOC patients from Suzhou Municipal Hospital (Center I) and the First Affiliated Hospital of Soochow University (Center Ⅱ) were retrospectively collected, including 87 patients with FIGO stage I/Ⅱ and 102 patients with FIGO stage Ⅲ/Ⅳ. The data from Center I were used for model training, while the data from Center Ⅱ were used as an external validation set. The region of interest (ROI) was drawn based on the tumor boundary and extended outwardly by 2 mm, 4 mm, 6 mm, 8 mm, and 10 mm to obtain multiple peritumoral information. A total of 1223 radiomics features were extracted from both intra- and peritumoral regions. Univariate analysis, correlation analysis, minimum redundancy maximum relevance, and least absolute shrinkage and selection operator (LASSO) algorithm were employed for feature selection. The performance of peritumoral radiomics models with different peritumoral extension ranges was compared in the training set to determine the optimal extension for constructing the peritumoral model. Subsequently, both intratumoral and clinical models were developed. The combined model was constructed based on intratumoral, peritumoral, and clinical features using a nomogram. Each individual model was subsequently applied to the external validation set, and their diagnostic performance was assessed through receiver operating characteristic (ROC) analysis. The DeLong test was employed to compare the differences in diagnostic efficacy between these models.Results The peritumoral radiomics model demonstrated superior performance within an extended range of 2 mm, exhibiting an area under the ROC curve (AUC) of 0.840 in the training set. In the external validation set, the combined model exhibited optimal diagnostic performance, showcasing exceptional accuracy (74.2%), specificity (80.8%), and AUC (0.837). According to the DeLong test, the combined model significantly outperformed the peritumoral model (P=0.047).Conclusions The T2-weighted MRI-based peritumoral and intratumoral radiomics method demonstrated promising potential in effectively predicting the FIGO stage of EOC. Notably, the model combining peritumoral, intratumoral radiomics, and clinical information exhibits superior performance. This advanced model is anticipated to assist clinicians in accurately assessing patient conditions and devising personalized treatment plans.
[Keywords] ovarian cancer；International Federation of Gynecology and Obstetrics stage；radiomics；peri-tumor；magnetic resonance imaging

WANG Xinyi   WEI Mingxiang   CHEN Shuangqing*  

Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School of Nanjing Medical University, Suzhou 215000, China

Corresponding author: CHEN S Q, E-mail: sznaonao@163.com

Conflicts of interest   None.

Received  2023-11-27
Accepted  2024-05-12
DOI: 10.12015/issn.1674-8034.2024.06.015
Cite this article as: WANG X Y, WEI M X, CHEN S Q. Preoperative prediction of FIGO stage of epithelial ovarian cancer based on T2-weighted MRI peritumoral and intratumoral radiomics models[J]. Chin J Magn Reson Imaging, 2024, 15(6): 100-106. DOI:10.12015/issn.1674-8034.2024.06.015.

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