CT Radiomics Model for Predicting the Ki-67 Index of Lung Cancer： An Exploratory Study

CT Radiomics Model for Predicting the Ki-67 Index of Lung Cancer： An Exploratory Study

ObjectiveTo establish a radiomics signature and a nomogram model based on enhanced CT images to predict the Ki-67 index of lung cancer.MethodsFrom January 2014 to December 2018, 282 patients with lung cancer who had undergone enhanced CT scans and Ki-67 examination within 2 weeks were retrospectivel...

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Bibliographic Details
Main Authors: Qing Fu, Shun li Liu, Da peng Hao, Ya bin Hu, Xue jun Liu, Zaixian Zhang, Wen hong Wang, Xiao yan Tang, Chuan yu Zhang, Shi he Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Oncology
Subjects:
lung cancer
Ki-67
tomography
X ray
radiomics model
classification
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.743490/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.743490/full

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