Ultrasonic radiomics-based nomogram for preoperative prediction of residual tumor in advanced epithelial ovarian cancer: a multicenter retrospective study

Ultrasonic radiomics-based nomogram for preoperative prediction of residual tumor in advanced epithelial ovarian cancer: a multicenter retrospective study

ObjectivesTo identify radiomic features extracted from ultrasound images and to develop and externally validate a comprehensive model that combines clinical data with ultrasound radiomics features to predict the residual tumor status in patients with advanced epithelial ovarian cancer (OC).MethodsTh...

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Bibliographic Details
Main Authors:	Shanshan Li, Qiuping Ding, Lijuan Li, Yuwei Liu, Hanyu Zou, Yushuang Wang, Xiangyu Wang, Bingqing Deng, Qingxiu Ai
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-02-01
Series:	Frontiers in Oncology
Subjects:	ultrasonic radiomics ovarian cancer predictive model nomograms residual tumor
Online Access:	https://www.frontiersin.org/articles/10.3389/fonc.2025.1540734/full
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