Lumbar spine marrow MR T1 mapping radiomics for predicting clinical risk of acute lymphoblastic leukemia in children
10.13929/j.issn.1003-3289.2024.09.002
- VernacularTitle:腰椎骨髓MR T1 mapping影像组学预测儿童急性淋巴细胞白血病临床危险度
- Author:
Liying WANG
1
,
2
;
Xinzi LI
;
Ying LI
;
Meimin ZHENG
;
Sen CHEN
;
Zhaoxiang YE
;
Chunxiang WANG
Author Information
1. 天津市儿童医院/天津大学儿童医院医学影像科,天津 300400
2. 天津医科大学肿瘤医院国家恶性肿瘤临床医学研究中心放射科,天津 300060
- Keywords:
child;
leukemia;
magnetic resonance imaging;
radiomics;
prospective study
- From:
Chinese Journal of Medical Imaging Technology
2024;40(9):1284-1288
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the value of lumbar spine bone marrow MR T1 mapping radiomics for predicting clinical risk of acute lymphoblastic leukemia(ALL)in children.Methods Lumbar bone marrow T1 mappings were prospectively acquired from 77 newly diagnosed ALL children.The volume of interest(VOI)of L3 vertebral body was segmented using 3D Slicer software and 2 060 radiomics features were extracted,and the best features were screened.The children were divided into training and testing sets at the ratio of 8:2.Logistic regression(LR),support vector machine(SVM)and random forest(RF)were used to established radiomics models based on the best features,respectively,which were trained in training set and verified in testing set.The clinical risk was evaluated according to newly diagnosed risk and the response to chemotherapy after MR examination.Receiver operating characteristic(ROC)curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of each model for predicting clinical risk of ALL in children.Results There were 52 cases in low-medium risk group and 25 in high risk group.The training set consisted of 44 cases of low-medium risk and 17 of high risk,while the testing set consisted of 8 cases of low-medium risk and 8 of high risk.Twelve best features were selected to establish radiomics models.The sensitivity and accuracy of RF model in training set were both 100％,but its sensitivity(50.00％)and accuracy(75.00％)in testing set were both low,which indicating overfitting.The AUC(0.95)of LR model was slightly higher than that of SVM model(0.92)in testing set,but no significantly difference was found(P＞0.05),and the accuracy of these two models was consistent.Conclusion Both lumbar bone marrow T1 mapping LR and SVM radiomics models could be used to predict clinical risk of ALL in children,and LR model had better predictive efficacy.
