CT-based radiomics model for noninvasive prediction of progression-free survival in high-grade serous ovarian carcinoma: a multicenter study incorporating preoperative and postoperative clinical factors

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Publication Details

Journal
BMC Medical Imaging
Published
2025-08-08
DOI
https://doi.org/10.1186/s12880-025-01865-0
Citations
2
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
3.40

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article

CT-based radiomics model for noninvasive prediction of progression-free survival in high-grade serous ovarian carcinoma: a multicenter study incorporating preoperative and postoperative clinical factors

Haiyang Yu, Jinwen Jiao, Shuai Zhang, Chang Wang et al.
2 citations
BMC Medical Imaging
Ovarian cancer diagnosis and treatment
3.40
article

CT-based radiomics model for noninvasive prediction of progression-free survival in high-grade serous ovarian carcinoma: a multicenter study incorporating preoperative and postoperative clinical factors

Haiyang Yu, Jinwen Jiao, Shuai Zhang, Chang Wang, Chengjian Wang, Zidong Zhang, Xinping Yu, Yuwei Zou
article en
2 citations

Abstract

No abstract available for this paper.
BMC Medical ImagingVol. 25(1)
Qingdao University (CN), Yantai Infectious Diseases Hospital (CN), Affiliated Hospital of Qingdao University (CN), Yantaishan Hospital (CN)
Qingdao University
Good health and well-being
Openalex Percentile: Top 7%
Ovarian cancer diagnosis and treatment
3.40
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CT-based radiomics model for noninvasive prediction of progression-free survival in high-grade serous ovarian carcinoma: a multicenter study incorporating preoperative and postoperative clinical factors — Haiyang Yu, Jinwen Jiao, et al. · BMC Medical Imaging (2025) | TGRS Research Map | TGRS