Work

AI-assisted Radiomic Model for Cervical Cancer Recurrence Prediction: A Multicenter Retrospective Study with Experimental Validation

Year: 2026

Type: article

Abstract: A nomogram integrating clinical, hematologic, and intratumoral and peritumoral MRI radiomic features predicted postoperative disease-free survival in cervical cancer, and a radiomic-TRIM29-cell cycle regulatory axis was identified.

Source: Radiology Imaging Cancer

DOI: 10.1148/rycan.250618

Authors: Shuqing Chen, Yu Zhang, Dong Chen, Jun Dang, Lei Chen, Wei Yang

Institutions: University of Science and Technology of China, First Affiliated Hospital of Anhui Medical University, Anhui Medical University

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W7166175372

FWCI: 4.733

Cites: 29

Cited by: 1

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