Application value of clinical-radiomics nomogram in preoperative prediction of liver kinase B1 expression in non-small cell lung cancer
10.3969/j.issn.1002-1671.2025.02.008
- VernacularTitle:临床-影像组学列线图术前预测非小细胞肺癌肝激酶B1表达的应用价值
- Author:
Qunfang ZHANG
1
;
He XU
;
Hui ZHOU
;
Deshun LIU
;
Xueli ZHANG
;
Zongyu XIE
Author Information
1. 蚌埠医科大学研究生院,安徽 蚌埠 233000
- Publication Type:Journal Article
- Keywords:
clinical-radiomics nomogram;
preoperative prediction;
non-small cell lung cancer;
liver kinase B1;
expression
- From:
Journal of Practical Radiology
2025;41(2):211-216
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the application value of clinical-radiomics nomogram in predicting the expression of liver kinase B1(LKB1)in non-small cell lung cancer(NSCLC)before surgery.Methods A total of 140 NSCLC patients were randomized into training group(n=106)and validation group(n=34)according to the ratio of 7∶3.The training group was used as the study cohort to screen the clinically independent predictors and radiomics characteristics related to LKB1 expression,and the clinical model,radiomics model and clinical-radiomics nomogram model were constructed,respectively.The predictive performance of the three models was analyzed using the receiver operating characteristic(ROC)curve in the training group,and validated in the validation group.The calibration curve was used to assess the consistency between the predicted results of nomogram model and the actual observations,and the decision curve was used to evaluate the clinical benefit of the nomogram model.Results The clinical model consisted of pathological type and hilal/mediastinal lymphadenopathy,the radiomics model consisted of Radiomics score(Radscore),and the nomogram model consisted of Radscore,pathological type and hilal/mediastinal lymphadenopathy.In the training group,the area under the curve(AUC)of the nomogram model,radiomics model and clinical model was 0.884,0.843 and 0.788,respectively.In the validation group,the AUC of the three models were 0.976,0.851,and 0.912,respectively.The calibration curve analysis showed good consis-tency between the predicted results of nomogram model and the actual observations,and the decision curve showed that the model had good clinical benefit.Conclusion Radiomics combined with clinical risk factors can effectively predict the expression of LKB1 in NSCLC patients before surgery,so as to contribute to the formulation of therapeutic strategies in clinical practice.
