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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