Radiomics based on habitat analysis in predicting parametrial invasion of early stage cervical cancer

Radiomics based on habitat analysis effectively predicts PMI in early-stage CC, with diagnostic performance superior to that of traditional whole-tumor radiomics. This approach provides a promising method for preoperative prediction of PMI in CC and aids clinicians and patients in treatment decisions.

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Publication Details

Journal
Frontiers in Oncology
Published
2026-01-27
DOI
https://doi.org/10.3389/fonc.2026.1694347
Primary Topic
Endometrial and Cervical Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Radiomics based on habitat analysis in predicting parametrial invasion of early stage cervical cancer

Peng Jiang, Junfeng Dai, Man Li, Bing Chen et al.
Frontiers in Oncology
Endometrial and Cervical Cancer Treatments
article

Radiomics based on habitat analysis in predicting parametrial invasion of early stage cervical cancer

Peng Jiang, Junfeng Dai, Man Li, Bing Chen, Changfu Yang, Zhihai Jin, Zhihong Qin, Tianliang Shi, Chongshuang Yang, Wei Wang, Changyi Yang, Xin Yi
article en

Abstract

Radiomics based on habitat analysis effectively predicts PMI in early-stage CC, with diagnostic performance superior to that of traditional whole-tumor radiomics. This approach provides a promising method for preoperative prediction of PMI in CC and aids clinicians and patients in treatment decisions.

Frontiers in OncologyVol. 16
Universiti Putra Malaysia (MY), Tongren Hospital (CN), Handa City Hospital (JP), United Imaging Healthcare (China) (CN)
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 78%
Endometrial and Cervical Cancer Treatments
DOIOpen Access PDFOpenAlex
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Radiomics based on habitat analysis in predicting parametrial invasion of early stage cervical cancer — Peng Jiang, Junfeng Dai, et al. · Frontiers in Oncology (2026) | TGRS Research Map | TGRS