AI Article Synopsis
- Researchers developed a nomogram model combining radiomic features and satellite sign numbers to predict the expansion of intracerebral hematomas in patients.
- The study involved 129 patients, utilizing initial CT images for feature extraction and applying various statistical methods to create and validate the model.
- Results showed high predictive accuracy and clinical utility, indicating the model could be a reliable tool for assessing hematoma expansion using noncontrast CT images.
Article Abstract
Background: We aimed to construct and validate a nomogram model based on the combination of radiomic features and satellite sign number for predicting intracerebral hematoma expansion.
Methods: A total of 129 patients from two institutions were enrolled in this study. The preprocessed initial CT images were used for radiomic feature extraction. The ANOVA-Kruskal-Wallis test and least absolute shrinkage and selection operator regression were applied to identify candidate radiomic features and construct the Radscore. A nomogram model was developed by integrating the Radscore with a satellite sign number. The discrimination performance of the proposed model was evaluated by receiver operating characteristic (ROC) analysis, and the predictive accuracy was assessed a calibration curve. Decision curve analysis (DCA) and Kaplan-Meier (KM) survival analysis were performed to evaluate the clinical value of the model.
Results: Four optimal features were ultimately selected and contributed to the Radscore construction. A positive correlation was observed between the satellite sign number and Radscore (Pearson's : 0.451). The nomogram model showed the best performance with high area under the curves in both training cohort (0.881, sensitivity: 0.973; specificity: 0.787) and external validation cohort (0.857, sensitivity: 0.950; specificity: 0.766). The calibration curve, DCA, and KM analysis indicated the high accuracy and clinical usefulness of the nomogram model for hematoma expansion prediction.
Conclusion: A nomogram model of integrated radiomic signature and satellite sign number based on noncontrast CT images could serve as a reliable and convenient measurement of hematoma expansion prediction.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287169 | PMC |
| http://dx.doi.org/10.3389/fnins.2020.00491 | DOI Listing |
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