Initial CT-based radiomics nomogram for predicting in-hospital mortality in patients with traumatic brain injury: a multicenter development and validation study.

OBJECTIVE: To develop and validate a radiomic prediction model using initial noncontrast computed tomography (CT) at admission to predict in-hospital mortality in patients with traumatic brain injury (TBI). METHODS: A total of 379 TBI patients from three cohorts were categorized into training, internal validation, and external validation sets. After filtering the unstable features with the minimum redundancy maximum relevance approach, the CT-based radiomics signature was selected by using the least absolute shrinkage and selection operator (LASSO) approach. A personalized predictive nomogram incorporating the radiomic signature and clinical features was developed using a multivariate logistic model to predict in-hospital mortality in patients with TBI. The calibration, discrimination, and clinical usefulness of the radiomics signature and nomogram were evaluated. RESULTS: The radiomic signature consisting of 12 features had areas under the curve (AUCs) of 0.734, 0.716, and 0.706 in the prediction of in-hospital mortality in the internal and two external validation cohorts. The personalized predictive nomogram integrating the radiomic and clinical features demonstrated significant calibration and discrimination with AUCs of 0.843, 0.811, and 0.834 in the internal and two external validation cohorts. Based on decision curve analysis (DCA), both the radiomic features and nomogram were found to be clinically significant and useful. CONCLUSION: This predictive nomogram incorporating the CT-based radiomic signature and clinical features had maximum accuracy and played an optimized role in the early prediction of in-hospital mortality. The results of this study provide vital insights for the early warning of death in TBI patients.

Ultrastructural abnormalities and loss of myelinated fibers in the corpus callosum of demyelinated mice induced by cuprizone.

It is now accepted that white matter abnormalities play an important role in demyelinating diseases and a wide range of psychiatric disorders. Experimental demyelination (especially induced by cuprizone) has been investigated extensively. However, details regarding demyelination and ultrastructural changes of myelinated fibers have not been previously reported. Therefore, we determined the extent of demyelination using quantitative stereology. Mice exposed to cuprizone in the current study showed abnormal anxiety-like behavior without impaired spatial learning or memory. The myelinated fibers in whole corpus callosum of mice exposed to cuprizone showed extensive myelin deficiencies and occasional axonal injuries. The total length of the myelinated fibers in whole corpus callosum of mice exposed to cuprizone was significantly decreased by 45% compared with control mice. The loss of myelinated fibers was mainly due to the marked loss of the fibers with a diameter of 0.4 to 0.8 µm. The g-ratio of the myelinated fibers in the corpus callosum of mice exposed to cuprizone (0.69 ± 0.02) was significantly decreased compared with control mice (0.76 ± 0.02). These results might help us to further understand the role of white matter abnormalities in demyelinating diseases or a wide range of psychiatric disorders. © 2016 Wiley Periodicals, Inc.