RT Journal Article
SR Electronic
T1 Automated Determination of the H3 K27-Altered Status in Spinal Cord Diffuse Midline Glioma by Radiomics Based on T2-Weighted MR Images
JF American Journal of Neuroradiology
JO Am. J. Neuroradiol.
FD American Society of Neuroradiology
SP 1464
OP 1470
DO 10.3174/ajnr.A8056
VO 44
IS 12
A1 Li, Junjie
A1 Wang, YongZhi
A1 Weng, Jinyuan
A1 Qu, Liying
A1 Wu, Minghao
A1 Guo, Min
A1 Sun, Jun
A1 Hu, Geli
A1 Gong, Xiaodong
A1 Liu, Xing
A1 Duan, Yunyun
A1 Zhuo, Zhizheng
A1 Jia, Wenqing
A1 Liu, Yaou
YR 2023
UL http://www.ajnr.org/content/44/12/1464.abstract
AB BACKGROUND AND PURPOSE: Conventional MR imaging is not sufficient to discern the H3 K27-altered status of spinal cord diffuse midline glioma. This study aimed to develop a radiomics-based model based on preoperative T2WI to determine the H3 K27-altered status of spinal cord diffuse midline glioma.MATERIALS AND METHODS: Ninety-seven patients with confirmed spinal cord diffuse midline gliomas were retrospectively recruited and randomly assigned to the training (n = 67) and test (n = 30) sets. One hundred seven radiomics features were initially extracted from automatically-segmented tumors on T2WI, then 11 features selected by the Pearson correlation coefficient and the Kruskal-Wallis test were used to train and test a logistic regression model for predicting the H3 K27-altered status. Sensitivity analysis was performed using additional random splits of the training and test sets, as well as applying other classifiers for comparison. The performance of the model was evaluated through its accuracy, sensitivity, specificity, and area under the curve. Finally, a prospective set including 28 patients with spinal cord diffuse midline gliomas was used to validate the logistic regression model independently.RESULTS: The logistic regression model accurately predicted the H3 K27-altered status with accuracies of 0.833 and 0.786, sensitivities of 0.813 and 0.750, specificities of 0.857 and 0.833, and areas under the curve of 0.839 and 0.818 in the test and prospective sets, respectively. Sensitivity analysis confirmed the robustness of the model, with predictive accuracies of 0.767–0.833.CONCLUSIONS: Radiomics signatures based on preoperative T2WI could accurately predict the H3 K27-altered status of spinal cord diffuse midline glioma, providing potential benefits for clinical management.AUCarea under the curveCEcontrast-enhancedDMGdiffuse midline gliomaHRhazard ratioLRlogistic regressionNPVnegative predictive valueOSoverall survivalPPVpositive predictive valueSC-DMGspinal cord diffuse midline gliomaWHOWorld Health Organization