Habitat-based radiomics enhances the ability to predict lymphovascular space invasion in cervical cancer: a multi-center study

Habitat-based radiomics enhances the ability to predict lymphovascular space invasion in cervical cancer: a multi-center study

IntroductionLymphovascular space invasion (LVSI) is associated with lymph node metastasis and poor prognosis in cervical cancer. In this study, we investigated the potential of radiomics, derived from magnetic resonance (MR) images using habitat analysis, as a non-invasive surrogate biomarker for pr...

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Bibliographic Details
Main Authors: Shuxing Wang, Xiaowen Liu, Yu Wu, Changsi Jiang, Yan Luo, Xue Tang, Rui Wang, Xiaochun Zhang, Jingshan Gong
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Oncology
Subjects:
cervical cancer
LVSI
radiomics
habitat
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1252074/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1252074/full

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