Introduction: To assess clinical and/or imaging features useful to distinguish between Susac syndrome (SuS) and primary angiitis of central nervous system (PACNS).
Methods: Multicenter retrospective analysis of two cohorts of Argentine patients diagnosed with SuS and PACNS.
Results: 13 patients diagnosed with SuS (6 women and 7 men, mean age 35 ± 10 years) and 15 with PACNS (10 women and 5 men, mean age 44 ± 18 years) were analyzed. Cognitive impairment (11 out of 13 patients vs. 5 out of 15, p = .006), ataxia (7 out of 13 vs. 2 out of 15, p = .042) and auditory disturbances (7 out of 13 vs. 0 out of 15, p = .003) were more frequent in SuS patients; whereas seizures were more frequent in PACNS patients (8 out of 15 vs. 1 out of 13, p = .035). On MRI, corpus callosum (CC) involvement was observed more often in SuS, with abnormalities in CC genu, in 13 out of 13 SuS patients vs. only 2 out of 15 PACNS patients (p < .001); in CC body these were present in 13 out of 13 SuS patients vs. 1 out of 15 PACNS patients, (p < .001); and in CC splenium in 12 out of 13 Sus patients vs. 1 of 15 PACNS, p < .001). Cortical lesions were more frequent in PACNS patients (10 out of 15 vs. 3 out of 13 SuS patients, p = .02), as were hemorrhages (5 out of 15 vs. 0 out of 13 SuS, p = .04) and multiple basal ganglia infarcts (7 out of 15 vs. 1 out of 13 Sus, p = .037).
Conclusion: Specific clinical and/or MRI findings may help distinguish SuS from PACNS with potential therapeutic implications.
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http://dx.doi.org/10.1016/j.jns.2018.09.029 | DOI Listing |
Med Biol Eng Comput
January 2025
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China.
Accurately and swiftly segmenting breast tumors is significant for cancer diagnosis and treatment. Ultrasound imaging stands as one of the widely employed methods in clinical practice. However, due to challenges such as low contrast, blurred boundaries, and prevalent shadows in ultrasound images, tumor segmentation remains a daunting task.
View Article and Find Full Text PDFAdv Biotechnol (Singap)
February 2024
State Key Laboratory of Traditional Chinese Medicine/School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, 510006, China.
Mass spectrometry imaging (MSI) serves as a valuable tool enabling researchers to scrutinize various compounds, peptides, and proteins within a sample, providing detailed insights at both elemental and molecular levels. This innovative technology transforms information obtained from a mass spectrometer- encompassing ionic strength, mass-to-charge ratio, and ionized molecule coordinates-within a defined region into a pixel-based model. Consequently, it reconstructs the spatial distribution of ions, allowing for a comprehensive understanding of molecular landscapes.
View Article and Find Full Text PDFEur Radiol
January 2025
Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Objectives: We aimed to use artificial intelligence to accurately identify molecular subgroups of medulloblastoma (MB), predict clinical outcomes, and incorporate deep learning-based imaging features into the risk stratification.
Methods: The MRI features were extracted for molecular subgroups by a novel multi-parameter convolutional neural network (CNN) called Bi-ResNet-MB. Then, MR features were used to establish a prognosis model based on XGBoost.
Arch Gynecol Obstet
January 2025
Department of Radiology, First People's Hospital of Shangqiu, Shangqiu, 476000, China.
Objective: To assess and compare the diagnostic accuracy of radiologist, MR findings, and radiomics-clinical models in the diagnosis of placental implantation disorders.
Methods: Retrospective collection of MR images from patients suspected of having placenta accreta spectrum (PAS) was conducted across three institutions: Institution I (n = 505), Institution II (n = 67), and Institution III (n = 58). Data from Institution I were utilized to form a training set, while data from Institutions II and III served as an external test set.
Background: Although invasiveness is one of the major determinants of the poor glioblastoma (GBM) outcome, the mechanisms of GBM invasion are only partially understood. Among the intrinsic and environmental processes promoting cell-to-cell interaction processes, eventually driving GBM invasion, we focused on the pro-invasive role played by Extracellular Vesicles (EVs), a heterogeneous group of cell-released membranous structures containing various bioactive cargoes, which can be transferred from donor to recipient cells.
Methods: EVs isolated from patient-derived GBM cell lines and surgical aspirates were assessed for their pro-migratory competence by spheroid migration assays, calcium imaging, and PYK-2/FAK phosphorylation.
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