A nomogram based on CT intratumoral and peritumoral radiomics features preoperatively predicts poorly differentiated invasive pulmonary adenocarcinoma manifesting as subsolid or solid lesions: a double-center study

A nomogram based on CT intratumoral and peritumoral radiomics features preoperatively predicts poorly differentiated invasive pulmonary adenocarcinoma manifesting as subsolid or solid lesions: a double-center study

BackgroundThe novel International Association for the Study of Lung Cancer (IASLC) grading system suggests that poorly differentiated invasive pulmonary adenocarcinoma (IPA) has a worse prognosis. Therefore, prediction of poorly differentiated IPA before treatment can provide an essential reference...

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Bibliographic Details
Main Authors: Zebin Yang, Hao Dong, Chunlong Fu, Zening Zhang, Yao Hong, Kangfei Shan, Chijun Ma, Xiaolu Chen, Jieping Xu, Zhenzhu Pang, Min Hou, Xiaowei Zhang, Weihua Zhu, Linjiang Liu, Weihua Li, Jihong Sun, Fenhua Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Oncology
Subjects:
pulmonary adenocarcinoma
computer tomography imaging
radiomics
peritumoral
nomogram
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1289555/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2024.1289555/full

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