• World Neurosurg · Jan 2022

    A novel CT-based radiomics-clinical nomogram for the prediction of short-term prognosis in deep intracerebral hemorrhage.

    • ZhiMing Zhou, ZuHua Song, Yuanyuan Chen, and Jinhua Cai.
    • Department of Radiology, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China; Department of Radiology, Children's Hospital of Chongqing Medical University, Chongqing, China.
    • World Neurosurg. 2022 Jan 1; 157: e461-e472.

    ObjectiveTo develop and validate a radiomics-clinical nomogram for the prediction of short-term prognosis in patients with deep intracerebral hemorrhage (DICH) on admission.MethodsA total of 326 patients with DICH (development cohort = 187; testing cohort = 81; validation cohort = 58) were retrospectively included. Radiomics features were extracted from computed tomography (CT) images and optimal features were selected using least absolute shrinkage and selection operator regression. A radiomics score (R-score) was developed using the optimal features. Univariate and multivariate analyses were used to determine independent risk factors for poor outcomes at 30 days. A radiomics-clinical (R-C) nomogram was developed and validated in the three cohorts. Receiver operating characteristic curve (ROC), calibration curve and decision curve analyses were conducted to evaluate the performances of the R-C nomogram.ResultsOnly 4 of 396 radiomics features were selected to develop R-scores. Age, onset-to-CT time, Glasgow Coma Scale score, midline shift, and R-score were detected as independent predictors of poor prognosis of DICH. The R-C nomogram was developed by the independent predictors and showed acceptable discrimination with areas under ROCs of 0.80, 0.79, and 0.70 in the development, testing and validation cohorts, respectively. The R-C nomogram showed good agreement between the predicted probability and the actual probability (all P > 0.05) and clinical applicability in each cohort.ConclusionsThe R-C nomogram is a stable and effective tool for predicting the short-term prognosis of DICH, which may help clinicians perform individual risk assessments and make decisions for patients with DICH.Copyright © 2021 Elsevier Inc. All rights reserved.

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