Ultrasound-based radiomics for predicting the five major histological subtypes of epithelial ovarian cancer

The ultrasound-based radiomics models in discriminating HGSC and non-HGSC showed good predictive performance, as well as high consistency between the predicted results and the actual outcomes, and brought significant net benefits for patients.

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Publication Details

Journal
BMC Medical Imaging
Published
2025-04-15
DOI
https://doi.org/10.1186/s12880-025-01624-1
Citations
2
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
3.40
Controls
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article

Ultrasound-based radiomics for predicting the five major histological subtypes of epithelial ovarian cancer

Xuemeng Gao, Xinyu Ji, Yang Yang, Sen Li et al.
2 citations
BMC Medical Imaging
Ovarian cancer diagnosis and treatment
3.40
article

Ultrasound-based radiomics for predicting the five major histological subtypes of epithelial ovarian cancer

Xuemeng Gao, Xinyu Ji, Yang Yang, Sen Li, Yitong Wang, Ying Huang
article en
2 citations

Abstract

The ultrasound-based radiomics models in discriminating HGSC and non-HGSC showed good predictive performance, as well as high consistency between the predicted results and the actual outcomes, and brought significant net benefits for patients.

BMC Medical ImagingVol. 25(1)
Capital Medical University (CN), Beijing Tian Tan Hospital (CN), China Medical University (CN)
Good health and well-being
Openalex Percentile: Top 9%
Ovarian cancer diagnosis and treatment
3.40
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