Unlabelled: The aim of the study is to evaluate the reliability of the diffusion-weighted vs. FLAIR MR imaging in the cases of hyper acute brain stroke.
Material And Methods: CT and MR standard and diffusion images observed in 29 patients affected with early brain stroke and reference CT in all the patients. Reference CT was performed 3-5 days later in all patients.
Results: The pre- and post-contrast CT in 23 patients did not reveal any brain lesions. In contrary to CT areas of pathologic high signal were visualized well in diffusion MR in 20 of these patients, which supported early diagnosis. Discrete hiperintense lesions of the same locations were seen also in the FLAIR MR imaging in 19 of them. In the 6 patients CT revealed only discrete hipodense areas, which were seen more pronounced in the FLAIR and diffusion MR imaging. In the 3 cases even the second CT did not reveal stroke.
Conclusions: The diffusion MR imaging in patients suspected of acute brain stroke reveals ischemic lesions earlier and more clearly than FLAIR imaging, which discrete presented the same pathological areas.
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Sci Rep
January 2025
Department of Electrical Electronical Engineering, Yaşar University, Bornova, İzmir, Turkey.
We aimed to build a robust classifier for the MGMT methylation status of glioblastoma in multiparametric MRI. We focused on multi-habitat deep image descriptors as our basic focus. A subset of the BRATS 2021 MGMT methylation dataset containing both MGMT class labels and segmentation masks was used.
View Article and Find Full Text PDFJ Imaging
January 2025
Department of Physiology, Centro Universitario de Ciencias de la Salud, University of Guadalajara, Guadalajara 44340, Mexico.
The area postrema (AP) is a key circumventricular organ involved in the regulation of autonomic functions. Accurate identification of the AP via MRI is essential in neuroimaging but it is challenging. This study evaluated 3D FSE Cube T2WI, 3D FSE Cube FLAIR, and 3D DIR sequences to improve AP detection in patients with and without multiple sclerosis (MS).
View Article and Find Full Text PDFJ Imaging
December 2024
Technology Department, CERN, 1211 Geneva, Switzerland.
Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role of AI algorithms as supporting tools is well established both at the research and clinical-production level. While the performance of the state-of-the-art models is increasing, reaching radiologists and other experts' accuracy levels in many cases, there is still a lot of research needed on the direction of in-depth and transparent evaluation of the correct results and failures, especially in relation to important aspects of the radiological practice: abnormality position, intensity level, and volume. In this work, we focus on the analysis of the segmentation results of a pre-trained U-net model trained and validated on brain MRI examinations containing four different pathologies: Tumors, Strokes, Multiple Sclerosis (MS), and White Matter Hyperintensities (WMH).
View Article and Find Full Text PDFInferior frontal sulcal hyperintensities (IFSH) observed on fluid-attenuated inversion recovery (FLAIR) MRI have been proposed as indicators of elevated cerebrospinal fluid waste accumulation in cerebral small vessel disease (CSVD). However, to validate IFSH as a reliable imaging biomarker, further replication studies are required. The objective of this study was to investigate associations between IFSH and CSVD, and their potential repercussions, i.
View Article and Find Full Text PDFNeurol Sci
January 2025
The People's Hospital of Xinchang, Shaoxing, 312500, Zhejiang, China.
Objective: To clarify the clinical features of recurrent myelin oligodendrocyte glycoprotein antibody-associated cortical encephalitis (MOGCE) in adults.
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