Machine learning model based on enhanced CT radiomics for the preoperative prediction of lymphovascular invasion in esophageal squamous cell carcinoma

ObjectiveTo evaluate the value of a machine learning model using enhanced CT radiomics features in the prediction of lymphovascular invasion (LVI) of esophageal squamous cell carcinoma (ESCC) before treatment.MethodsWe reviewed and analyzed the enhanced CT images of 258 ESCC patients from June 2017...

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Hlavní autoři:	Yating Wang, Genji Bai, Min Huang, Wei Chen
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2024-02-01
Edice:	Frontiers in Oncology
Témata:	radiomics machine learning ESCC lymphovascular invasion computed tomography
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fonc.2024.1308317/full
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