Intratumoral and peritumoral CT radiomics combined with clinical features for predicting lymphovascular invasion of early lung adenocarcinoma
10.13929/j.issn.1003-3289.2024.10.011
- VernacularTitle:瘤内及瘤周CT影像组学联合临床特征预测早期肺腺癌淋巴血管浸润
- Author:
Changhua XU
1
;
Miao HE
;
Jian WANG
Author Information
1. 陆军军医大学第一附属医院放射科,重庆 400038
- Keywords:
lung neoplasms;
adenocarcinoma;
neoplasm metastasis;
tomography,X-ray computed;
radiomics
- From:
Chinese Journal of Medical Imaging Technology
2024;40(10):1509-1513
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the value of intratumoral and peritumoral CT radiomics combined with clinical features for preoperative predicting lymphovascular invasion(LVI)of early lung adenocarcinoma.Methods Totally 252 patients with stage Ⅰ-Ⅱa lung adenocarcinoma were retrospectively enrolled and were divided into positive group(n=63)and negative group(n=189)according to LVI or not,also into training set(n=201)and test set(n=51)at a ratio of 8∶2.Clinical data and CT findings being significantly different between groups were included in multivariate logistic regression analysis to screen independent predictors of early lung adenocarcinoma LVI and to construct CT-clinical model.The best radiomics features were extracted and screened in ROI of tumor(ROI1)and outward of 3(ROI2),5(ROI3)and 7 mm(ROI4)with automatic delineation and expanding algorithm,respectively.K-nearest neighbor(KNN),support vector machine(SVM),decision tree(DT),random forest(RF)and logistic regression(LR)algorithms were used to construct radiomics models.The best classifier algorithm and ROI which could provide more effective radiomics information were selected to construct the best radiomics model,which was used to construct the combined model combining with CT-clinical model.Receiver operating characteristic curves were drawn,and the areas under the curves(AUC)were calculated to evaluate the efficacy of the above models for preoperative predicting early lung adenocarcinoma LVI.Results Solid lesion and CT-N+stage were both independent risk factors for early lung adenocarcinoma LVI(both P＜0.05).Peritumor 5 mm volume(GTPV5)was obtained based on ROI3,and the best radiomics model was the model established based on 14 optimal radiomics feature selected from RFGTPV5.AUC of CT-clinical model,RFGPTV5 model and combined model for preoperative predicting early lung adenocarcinoma LVI was 0.875,0.908 and 0.917 in training set,while was 0.831,0.853 and 0.862 in test set,respectively.Conclusion Intratumoral and peritumoral CT radiomics combined with clinical features had good efficacy for preoperative predicting LVI of early lung adenocarcinoma.Intratumor and peritumor 5 mm ROI could provide more valuable information.
