The value of CT imaging morphological features for preoperative prediction of immune phenotypes in lung adenocarcinoma
MO Ziyang
LIN Huan
LIANG Yanting
PAN Xipeng
FENG Zhengyun
LIU Zaiyi
Abstract:Objective To investigate the value of CT morphological features in predicting the immune phenotypes of lung adenocarcinoma.Methods A retrospective analysis was conducted on preoperative CT images and clinical data from 302 patients with pathologically confirmed invasive lung adenocarcinoma.The patients were randomly divided into a training set(211 cases)and a validation set(91 cases)in a 7∶3 ratio.Tumor immune phenotypes were defined based on lymphocyte density and spatial distribution characteristics in lung adenocarcinoma,classifying patients into hot tumor groups(training set:80 cases;validation set:32 cases)and cold tumor groups(training set:131 cases;validation set:59 cases).Survival analysis was performed using the Kaplan-Meier method and Log-rank test.Univariate and multivariate logistic regression analyses were used to construct a preoperative prediction model for lung adenocarcinoma immune phenotypes based on CT imaging morphological features,with the predictive performance of the model evaluated by the area under the receiver operating characteristic curve(AUC).Results The Kaplan-Meier curves indicated that the disease-free survival period was shorter in the cold tumor group compared to the hot tumor group in both the training set(P=0.001)and validation set(P=0.005).A CT imaging model was constructed using the lesion location(peripheral/central),maximum diameter of the solid component,spicule sign(presence/absence),and border(clear/unclear).The AUCs of the prediction model in the training and validation sets were 0.70(95%CI:0.60~0.83)and 0.72(95%CI:0.63~0.77),respectively.Conclusion The immune phenotype of lung adenocarcinoma can assist in prognostic stratification beyond the pathological TNM staging.The model based on CT imaging morphological features can effectively predict the immune phenotype of lung adenocarcinoma preoperatively.
Keywords:Lung adenocarcinomaImmune phenotypeTomographyX-ray computedPrognosis
Publication Date:2024-05-15
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:7( 267-273 )
International Journal of Medical Radiology

International Journal of Medical Radiology

ISTIC
ISSN:1674-1897
Year, Vol.(Issue):2024,47(3)