Development of a prediction model for gross residual in high-grade serous ovarian cancer by combining preoperative assessments of abdominal and pelvic metastases and multiparametric MRI-Reference-Cited by-同舟云学术

Development of a prediction model for gross residual in high-grade serous ovarian cancer by combining preoperative assessments of abdominal and pelvic metastases and multiparametric MRI

Published:2022-12 Issue: Volume: Page:
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Lu Jingjing,Cai Songqi,Wang Fang,Wu Pu-Yeh,Pan Xianpan,Qiang Jinwei,Li Haiming,Zeng Mengsu

Funder

Shanghai Municipal Health Commission

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference39 articles.

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3. A systematic review and meta-analysis of CT and MRI radiomics in ovarian cancer: methodological issues and clinical utility;Insights into Imaging;2023-07-03