Multiparametric MRI–based Deep Learning and Radiomics for Evaluating Lymph Node Metastasis in Early-Stage Cervical Cancer

Radiology Imaging Cancer 2026 Open access

Read full text
Authors: Yu Hao Bao, Mei Ling Xiao, Yong Ai Li, Feng Hua Ma, Yan Chen, Zi Jing Lin, Jing Yan Wu, Guo fu Zhang, Jinwei Qiang
DOI: 10.1148/rycan.250345
Cited by: 1
References: 25

Abstract

Radiomics and deep learning–radiomics fusion models constructed using tumor and pelvic lymph node features from MRI demonstrated favorable performance for preoperative lymph node metastasis prediction in early-stage cervical cancer.

Fields of Study & Subjects

Endometrial and Cervical Cancer Treatments Radiomics and Machine Learning in Medical Imaging Inflammatory Biomarkers in Disease Prognosis

Publication details

Journal / source
Radiology Imaging Cancer
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
3
Pages
e250345–e250345
Publication date
3 April 2026
Language
EN