Predictive value of consolidation/tumor ratio at different CT thresholds for invasiveness in small lung cancer
10.3969/j.issn.1005-202X.2024.03.009
- VernacularTitle:不同CT阈值下实性成分占比对小肺癌浸润性预测的影响
- Author:
Shuguo NIU
1
;
Fuxing ZHOU
;
Kesong YAN
;
Runsheng ZHAO
;
Binbin LIU
;
Wenxiao CHAI
Author Information
1. 武威市中医医院放射科,甘肃武威 733000
- Keywords:
lung nodule;
lung cancer;
CT threshold;
consolidation/tumor ratio;
artificial intelligence
- From:Chinese Journal of Medical Physics
2024;41(3):323-326
- CountryChina
- Language:Chinese
-
Abstract:
Objective To compare the accuracy of consolidation/tumor ratio(CTR)measured at different CT thresholds for the prediction of invasiveness in small lung cancer with diameter≤2 cm using artificial intelligence-assisted measurements,and to explore the CTR thresholds and the corresponding CT thresholds for predicting lung cancer invasiveness.Methods Clinical data from 59 lung cancer patients(78 lung nodules in total)treated at Wuwei Hospital of Traditional Chinese Medicine from January 2021 to May 2023 were collected to analyze the prediction efficacy of CTR on invasiveness in small lung cancer with diameter≤2 cm measured at CT thresholds of-400,-350,-300,-250,-200,-150 HU.ROC curves were plotted to determine the optimal critical value for invasiveness prediction,followed by the corresponding CT threshold.Results The highest diagnostic efficacy for the invasiveness of lung nodules was achieved at a CT threshold of-250 HU,with an area under the curve of 0.931,sensitivity of 77.5％,specificity of 100％,and an optimal CTR threshold of 0.322.Conclusion For small lung cancers with a maximum diameter≤2 cm,CTR measured at a CT threshold of-250 HU can accurately predict lung cancer invasiveness.At CTR>0.322,the nodule is more likely to be microinvasive or invasive adenocarcinoma.
