Proposed novel grading system for stage I invasive lung adenocarcinoma and a comparison with the 2020 IASLC grading system

Abstract Background Several studies have proposed grading systems for risk stratification of early‐stage lung adenocarcinoma based on histological patterns. However, the reproducibility of these systems is poor in clinical practice, indicating the need to develop a new grading system which is easy t...

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Bibliographic Details

Published in:	Thoracic Cancer
Main Authors:	Shuaibo Wang, Ye Li, Xujie Sun, Jiyan Dong, Li Liu, Jingbo Liu, Ruanqi Chen, Feng Li, Tiange Chen, Xiang Li, Guotong Xie, Jianming Ying, Qiang Guo, Yousheng Mao, Lin Yang
Format:	Article
Language:	English
Published:	Wiley 2024-03-01
Subjects:	grading system histological subtypes lung adenocarcinoma machine learning spread through air spaces
Online Access:	https://doi.org/10.1111/1759-7714.15204