PT  - JOURNAL ARTICLE
AU  - Zhang, X.
AU  - Miao, J.
AU  - Yang, J.
AU  - Liu, C.
AU  - Huang, J.
AU  - Song, J.
AU  - Xie, D.
AU  - Yue, C.
AU  - Kong, W.
AU  - Hu, J.
AU  - Luo, W.
AU  - Liu, S.
AU  - Li, F.
AU  - Zi, W.
TI  - DWI-Based Radiomics Predicts the Functional Outcome of Endovascular Treatment in Acute Basilar Artery Occlusion
AID  - 10.3174/ajnr.A7851
DP  - 2023 May 01
TA  - American Journal of Neuroradiology
PG  - 536--542
VI  - 44
IP  - 5
4099  - http://www.ajnr.org/content/44/5/536.short
4100  - http://www.ajnr.org/content/44/5/536.full
SO  - Am. J. Neuroradiol.2023 May 01; 44
AB  - BACKGROUND AND PURPOSE: Endovascular treatment is a reference treatment for acute basilar artery occlusion (ABAO). However, no established and specific methods are available for the preoperative screening of patients with ABAO suitable for endovascular treatment. This study explores the potential value of DWI-based radiomics in predicting the functional outcomes of endovascular treatment in ABAO.MATERIALS AND METHODS: Patients with ABAO treated with endovascular treatment from the BASILAR registry (91 patients in the training cohort) and the hospitals in the Northwest of China (31 patients for the external testing cohort) were included in this study. The Mann-Whitney U test, random forests algorithm, and least absolute shrinkage and selection operator were used to reduce the feature dimension. A machine learning model was developed on the basis of the training cohort to predict the prognosis of endovascular treatment. The performance of the model was evaluated on the independent external testing cohort.RESULTS: A subset of radiomics features (n = 6) was used to predict the functional outcomes in patients with ABAO. The areas under the receiver operating characteristic curve of the radiomics model were 0.870 and 0.781 in the training cohort and testing cohort, respectively. The accuracy of the radiomics model was 77.4%, with a sensitivity of 78.9%, specificity of 75%, positive predictive value of 83.3%, and negative predictive value of 69.2% in the testing cohort.CONCLUSIONS: DWI-based radiomics can predict the prognosis of endovascular treatment in patients with ABAO, hence allowing a potentially better selection of patients who are most likely to benefit from this treatment.ABAOacute basilar artery occlusionAUCarea under the receiver operating characteristic curveCAPScritical area perfusion scoreEVTendovascular treatmentLASSOleast absolute shrinkage and selection operatorMLmachine learningpcposterior circulationpcASCOposterior circulation ASPECTS-Collaterals scoreRFradiomics feature