Lymph Node Metastases Prediction in Cervical Cancer Using Time-Dependent Diffusion MRI and Macromolecular Proton Fraction Imaging

Radiology Imaging Cancer 2026 Open access

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Authors: Nan Meng, Jiayin Pan, Wei Wei, Jing Sun, Bo Dai, Y Y Wang, Xuan Yu, Wanyue Li, Baiyan Jiang, Jian Hou, Weitian Chen, Mengdi Wang
DOI: 10.1148/rycan.250452
Cited by: 2
References: 39

Abstract

Time-dependent diffusion MRI and macromolecular proton fraction mapping were effective for predicting lymph node metastasis in cervical cancer; the combination of cellularity, maximum tumor diameter, and macromolecular proton fraction showed the best diagnostic performance.

Fields of Study & Subjects

Endometrial and Cervical Cancer Treatments MRI in cancer diagnosis Advanced Neuroimaging Techniques and Applications

Publication details

Journal / source
Radiology Imaging Cancer
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
2
Pages
e250452–e250452
Publication date
27 February 2026
Language
EN