Prediction of the Growth Rate of Early-Stage Lung Adenocarcinoma by Radiomics

Prediction of the Growth Rate of Early-Stage Lung Adenocarcinoma by Radiomics

ObjectivesTo investigate the value of imaging in predicting the growth rate of early lung adenocarcinoma.MethodsFrom January 2012 to June 2018, 402 patients with pathology-confirmed lung adenocarcinoma who had two or more thin-layer CT follow-up images were retrospectively analyzed, involving 407 no...

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Bibliographic Details
Main Authors: Mingyu Tan, Weiling Ma, Yingli Sun, Pan Gao, Xuemei Huang, Jinjuan Lu, Wufei Chen, Yue Wu, Liang Jin, Lin Tang, Kaiming Kuang, Ming Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Oncology
Subjects:
pulmonary nodules
tomography
X-ray computer
radiomics
volume doubling time
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.658138/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.658138/full

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