Background And Purpose: This study aimed to investigate the efficacy of radiomics, based on non-contrast computed tomography (NCCT) and computed tomography angiography (CTA) images, in predicting early hematoma expansion (HE) in patients with spontaneous intracerebral hemorrhage (SICH). Additionally, the predictive performance of these models was compared with that of the established CTA spot sign.
Materials And Methods: A retrospective analysis was conducted using CT images from 182 patients with SICH. Data from the patients were divided into a training set (145 cases) and a testing set (37 cases) using random stratified sampling. Two radiomics models were constructed by combining quantitative features extracted from NCCT images (the NCCT model) and CTA images (the CTA model) using a logistic regression (LR) classifier. Additionally, a univariate LR model based on the CTA spot sign (the spot sign model) was established. The predictive performance of the two radiomics models and the spot sign model was compared according to the area under the receiver operating characteristic (ROC) curve (AUC).
Results: For the training set, the AUCs of the NCCT, CTA, and spot sign models were 0.938, 0.904, and 0.726, respectively. Both the NCCT and CTA models demonstrated superior predictive performance compared to the spot sign model (all < 0.001), with the performance of the two radiomics models being comparable ( = 0.068). For the testing set, the AUCs of the NCCT, CTA, and spot sign models were 0.925, 0.873, and 0.720, respectively, with only the NCCT model exhibiting significantly greater predictive value than the spot sign model ( = 0.041).
Conclusion: Radiomics models based on NCCT and CTA images effectively predicted HE in patients with SICH. The predictive performances of the NCCT and CTA models were similar, with the NCCT model outperforming the spot sign model. These findings suggest that this approach has the potential to reduce the need for CTA examinations, thereby reducing radiation exposure and the use of contrast agents in future practice for the purpose of predicting hematoma expansion.
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http://dx.doi.org/10.3389/fneur.2024.1332509 | DOI Listing |
Ophthalmol Retina
January 2025
Department of Ophthalmology, Glick Eye Institute, Indiana University School of Medicine, Indianapolis, Indiana.
Sensors (Basel)
December 2024
Computer Engineering, Brandenburg University of Technology, Cottbus-Senftenberg, 03046 Cottbus, Germany.
Occasionally, four cars arrive at the four legs of an unsignalized intersection at the same time or almost at the same time. If each lane has a stop sign, all four cars are required to stop. In such instances, gestures are used to communicate approval for one vehicle to leave.
View Article and Find Full Text PDFBMC Ophthalmol
December 2024
Department of Ophthalmology, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei Province, China.
Background: Leopard spots can appear in a variety of diseases; however, they are extremely rare in children with rhegmatogenous retinal detachment. This study presents two such rare cases in which leopard spot retinopathy was the initial manifestation of rhegmatogenous retinal detachment.
Case Presentation: Case 1 involved a 4-year-old boy had previously been diagnosed with left eye uveitis and received systemic steroid therapy at a local hospital, but symptoms persisted.
Med Clin (Barc)
December 2024
Departamento de Medicina, Universidad de Sevilla, Sevilla, España; Servicio de Neurología, Hospital de Valme, Sevilla, España.
Introduction: The ocular ultrasound spot sign negatively predicts the success of thrombolytic treatment in retinal arterial occlusions. We evaluated the presence of the spot sign in these patients.
Material And Methods: Retrospective study of patients with acute central retinal artery occlusion (CRAO) or its branches (BRAO).
Int J Stroke
January 2025
Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
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