Radiomics feature is a risk factor for locally advanced cervical cancer treated using concurrent chemoradiotherapy based on magnetic resonance imaging: a retrospective study

Radscore independently predicted OS in LACSC. The radiomics-clinical nomogram improved individualized OS estimation. Patients did not benefit from ACT.

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Publication Details

Journal
BMC Cancer
Published
2025-02-10
DOI
https://doi.org/10.1186/s12885-025-13625-y
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36

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article

Radiomics feature is a risk factor for locally advanced cervical cancer treated using concurrent chemoradiotherapy based on magnetic resonance imaging: a retrospective study

Lina Gu, Yanyan Yu, Yuan Wang, Hongxia Zhang et al.
1 citations
BMC Cancer
Radiomics and Machine Learning in Medical Imaging
1.36
article

Radiomics feature is a risk factor for locally advanced cervical cancer treated using concurrent chemoradiotherapy based on magnetic resonance imaging: a retrospective study

Lina Gu, Yanyan Yu, Yuan Wang, Hongxia Zhang, Yunyan Zhang, Yunfeng Sun, Jiazhuo Yan
article en
1 citations

Abstract

Radscore independently predicted OS in LACSC. The radiomics-clinical nomogram improved individualized OS estimation. Patients did not benefit from ACT.

BMC CancerVol. 25(1)
Harbin Medical University (CN), Third Affiliated Hospital of Harbin Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 24%
Radiomics and Machine Learning in Medical Imaging
1.36
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Radiomics feature is a risk factor for locally advanced cervical cancer treated using concurrent chemoradiotherapy based on magnetic resonance imaging: a retrospective study — Lina Gu, Yanyan Yu, et al. · BMC Cancer (2025) | TGRS Research Map | TGRS