The deep learning radiomics nomogram helps to evaluate the lymph node status in cervical adenocarcinoma/adenosquamous carcinoma

The deep learning radiomics nomogram helps to evaluate the lymph node status in cervical adenocarcinoma/adenosquamous carcinoma

ObjectivesThe accurate assessment of lymph node metastasis (LNM) can facilitate clinical decision-making on radiotherapy or radical hysterectomy (RH) in cervical adenocarcinoma (AC)/adenosquamous carcinoma (ASC). This study aims to develop a deep learning radiomics nomogram (DLRN) to preoperatively...

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Bibliographic Details
Main Authors: Mei Ling Xiao, Le Fu, Ting Qian, Yan Wei, Feng Hua Ma, Yong Ai Li, Jie Jun Cheng, Zhao Xia Qian, Guo Fu Zhang, Jin Wei Qiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Oncology
Subjects:
magnetic resonance imaging
cervical adenosquamous carcinoma
cervical adenocarcinoma
radiomics
deep learning
lymph node metastasis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1414609/full
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