The value of CT shape quantification in predicting pathological classification of lung adenocarcinoma

The value of CT shape quantification in predicting pathological classification of lung adenocarcinoma

Abstract Objective To evaluate whether quantification of lung GGN shape is useful in predicting pathological categorization of lung adenocarcinoma and guiding the clinic. Methods 98 patients with primary lung adenocarcinoma were pathologically confirmed and CT was performed preoperatively, and all l...

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Bibliographic Details
Main Authors: Mingjie guo, Zhan Cao, Zhichao Huang, Shaowen Hu, Yafei Xiao, Qianzhou Ding, Yalong Liu, Xiaokang An, Xianjie Zheng, Shuanglin Zhang, Guoyu Zhang
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Cancer
Subjects:
Lung adenocarcinoma
CT shape quantification
Pulmonary ground glass nodules
Prediction
Cut-off value
Online Access:https://doi.org/10.1186/s12885-023-11802-5

Internet

https://doi.org/10.1186/s12885-023-11802-5

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