The value of clinical-radiomics nomogram in preoperative predicting N1-N2 lymph node metastasis in patients with stage Ⅰ to Ⅲ A primary lung adenocarcinoma
10.3969/j.issn.1002-1671.2024.08.008
- VernacularTitle:临床-影像组学列线图术前对Ⅰ～Ⅲ A期原发性肺腺癌N1～N2淋巴结转移的预测价值
- Author:
He XU
1
;
Zongyu XIE
;
Peng XU
;
Lei LI
;
Jianyu ZHAO
;
Lijun WANG
;
Hui ZHOU
Author Information
1. 凤阳县人民医院医学影像科,安徽 凤阳 233100
- Keywords:
clinical-radiomics nomogram;
primary lung adenocarcinoma;
lymph node metastasis
- From:
Journal of Practical Radiology
2024;40(8):1253-1258
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the preoperative predictive value of clinical-radiomics nomogram on N1-N2 lymph node metastasis in patients with stage Ⅰ to Ⅲ A primary lung adenocarcinoma(PL A).Methods A total of 164 PLA patients were divided into a training set(n=114)and an validation set(n=50).Three logistic regression models were created separately and the predictive efficacy of the model was evaluated using the receiver operating characteristic(ROC)curve and area under the curve(AUC)respectively.The AUC difference between models was tested by the DeLong test.The calibration degree was evaluated by the calibration curve.Decision curve analysis was performed to evaluate the benefits of clinical application.Results The radiomics model consisted of 8 imaging features[Radiomics score(Radscore)].The clinical model was composed of tumor type(central or peripheral)and tumor size.The tumor type,tumor size and Radscore formed the nomogram model.In the training set,the prediction of the nomogram model was more effective(AUC=0.909)than the clinical model(AUC=0.748)and the radiomics model(AUC=0.814),while the differences in AUC were statistically significant(P＜0.05).In the validation set,the prediction of the nomogram model was more effective(AUC=0.875)than the clinical model(AUC=0.682),and the difference in AUC was statistically significant(P＜0.05).The prediction of the nomogram model was also more effective than the radiomics model(AUC=0.799),but the difference in AUC was not statistically significant(P＞0.05).The calibration curve showed that the clinical-radiomics nomogram had a high level of calibration and the decision curve analysis showed good benefits from clinical application.Conclusion The clinical-radiomics nomogram is proven to be more effective than radiomics or clinical factors alone in the preoperative prediction of stage Ⅰ to Ⅲ A PLA N1-N2 lymph node metastasis.
