A Nomogram Combined Radiomics and Clinical Features as Imaging Biomarkers for Prediction of Visceral Pleural Invasion in Lung Adenocarcinoma

A Nomogram Combined Radiomics and Clinical Features as Imaging Biomarkers for Prediction of Visceral Pleural Invasion in Lung Adenocarcinoma

ObjectivesTo develop and validate a nomogram model based on radiomics features for preoperative prediction of visceral pleural invasion (VPI) in patients with lung adenocarcinoma.MethodsA total of 659 patients with surgically pathologically confirmed lung adenocarcinoma underwent CT examination. All...

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Bibliographic Details
Main Authors: Xinyi Zha, Yuanqing Liu, Xiaoxia Ping, Jiayi Bao, Qian Wu, Su Hu, Chunhong Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Oncology
Subjects:
CT
lung adenocarcinomas
radiomics
Nomogram
prediction
visceral pleural invasion
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.876264/full

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