Results 51 to 60 of about 107,316 (261)

Diagnostic Accuracy  of Magnetic Resonance Spectroscopy  and Diffusion-Weighted Mri in Differentiating Between Pyogenic Brain Abscesses  and Necrotic Brain Tumors

Pakistan Armed Forces Medical Journal
Objective: To determine the diagnostic accuracy of magnetic resonance spectroscopy plus diffusion-weighted Magnetic Resonance Imaging in differentiating pyogenic brain abscess and necrotic brain tumors, taking histopathology as the gold standard ...
Humna Ashraf, Khansa Ahsan, Sana Noor, Ayesha kamaran, Anum Ibrahim, Adeel Arif   +5 more
doaj   +1 more source

A longitudinal multi-scanner multimodal human neuroimaging dataset

Scientific Data, 2022
Measurement(s) Three-Dimensional Spoiled Gradient MRI • Functional Magnetic Resonance Imaging • Diffusion Weighted Imaging Technology Type(s) T1 MRI • fMRI • Diffusion MRI Sample Characteristic - Organism homo sapiens Sample Characteristic - Location ...
Colin Hawco, Erin W. Dickie, Gabrielle Herman, Jessica A. Turner, Miklos Argyelan, Anil K. Malhotra, Robert W. Buchanan, Aristotle N. Voineskos   +7 more
doaj   +1 more source

Copine‐4 Paraneoplastic Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We characterize copine‐4 (CPNE4)‐IgG and report clinical associations. Among 844 samples with unclassified neural IgGs identified by mouse‐brain indirect immunofluorescence assay over 2 years, 5 samples (serum, 3; CSF, 2) from 3 patients produced a distinctive cerebrum‐restricted synaptic pattern.
Mimi S. Fang, Amy Ml Quek, Clement Yong, Amir Adeli, Gabrielle N. Conway, Connie E. Lesnick, Diana Anissian, Divyanshu Dubey, John R. Mills, Sean J. Pittock, Anastasia Zekeridou, Michael Gilligan, Andrew McKeon   +12 more
wiley   +1 more source

Human brain structural connectivity matrices–ready for modelling

Scientific Data, 2022
Measurement(s) Diffusion Weighted Imaging Technology Type(s) Magnetic Resonance Imaging Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location Czech ...
Antonín Škoch, Barbora Rehák Bučková, Jan Mareš, Jaroslav Tintěra, Pavel Sanda, Lucia Jajcay, Jiří Horáček, Filip Španiel, Jaroslav Hlinka   +8 more
doaj   +1 more source

Diffusion-weighted Magnetic Resonance Imaging for the Staging of Liver Fibrosis [PDF]

Journal of Clinical Gastroenterology, 2011
Diffusion-weighted magnetic resonance (MR) imaging (DWI) has been suggested for staging liver fibrosis. The aim of this study was to evaluate the diagnostic accuracy of DWI for the noninvasive assessment of hepatic fibrosis.We retrospectively compared DWI from clinically acquired MR scans with histologic methods.
Susanne, Bonekamp, Michael S, Torbenson, Ihab R, Kamel   +2 more
openaire   +2 more sources

Dynamic Changes in Serum Glial Fibrillary Acidic Protein Levels Predicts Early Neurological Deterioration After Intravenous Thrombolysis in Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Minor strokes may be associated with early neurological deterioration (END) and disabilities. The objective was to investigate the role of serum glial fibrillary acidic protein (GFAP) levels in predicting END. Methods Data originated from a multicenter cohort study conducted prospectively.
Jie Zhou, Yang Qu, Reziya Abuduxukuer, Peng Zhang, Ting Wang, Jian‐Hua Gao, De‐Wang Pan, Zhi‐Mei Yuan, Chun‐Ying Li, Li‐Ping Chen, Jin‐Hua Chen, Ji‐Liang Gu, An‐Ying Wang, Li‐Gang Jiang, Liang Liu, Yong‐Fei Jiang, Chun‐Fei Wang, Yan Jia, Hong Xin, Chun‐Li Jiang, Ying‐Bin Qi, Xue‐Feng Hu, Song Li, Hang Jin, Zhen‐Ni Guo, Yi Yang, on behalf of the Biomarkers of Brain Injury Investigator Study Group, Lijuan Wang, Ting Wang, Jianhua Gao, Dewang Pan, Zhimei Yuan, Chunying Li, Liping Chen, Jinhua Chen, Jiliang Gu, Anying Wang, Ligang Jiang, Liang Liu, Yongfei Jiang, Chunfei Wang, Yan Jia, Hong Xin, Chunli Jiang, Yingbin Qi, Xuefeng Hu   +45 more
wiley   +1 more source

Neonatal Sinovenous Thrombosis and MRI Findings

Pediatric Neurology Briefs, 2007
Neonates with suspected sinovenous thrombosis were examined by magnetic resonance venography, diffusion-weighted imaging, and T2-weighted imaging, in a study at the Massachusetts General Hospital, Boston, MA.
J Gordon Millichap
doaj   +1 more source

Juvenile Huntington Disease With Cerebellar‐Predominant Atrophy Identified by Genome Sequencing

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Juvenile Huntington disease accounts for a small fraction of Huntington disease cases and is driven by the largest trinucleotide repeat expansions. We describe a 6‐year‐old boy with progressive global regression, generalized dystonia, and epilepsy, in whom serial imaging showed striking cerebellar‐predominant atrophy with an initially normal ...
Enrique Gonzalez Saez‐Diez, Amy Tam, Siofra Carty, Monica Ferrer Socorro, Kathryn Yang, Darius Ebrahimi‐Fakhari   +5 more
wiley   +1 more source

Difusion-Weighted MRI: from Brownian Motion to Head&Neck Tumor Characterization

International Journal of Interactive Multimedia and Artificial Intelligence, 2017
This paper describes basic physics as well as clinical applications of diffusion-weighted magnetic resonance imaging. This is a technique that provides complementary information to conventional imaging sequences and it is applied in the field of ...
Cristina Utrilla Contreras, Begoña Marin Aguilera, Nelson Mauricio Buitrago Sánchez, Joachim Graessner, Pilar García Raya   +4 more
doaj   +1 more source

Serostatus‐Specific Prognostic Profiles and Phenotype‐Dependent Therapeutic Windows in Autoimmune Encephalitis: A Multicenter Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background While autoimmune encephalitis (AE) outcomes vary, serostatus‐specific prognostic determinants and institutional clustering effects remain poorly characterized. We aimed to delineate the distinct prognostic architecture of AE, identifying serostatus‐specific risk factors and potential therapeutic windows.
Xiaohong Tang, Jingxian Wang, Kaixin Zhu, Zhen Zhang, Liao Wu, Wei Wang, Chang Li, Qingyun Li, Hao Li, Jinghua Chen, Zhangxu Lian, Bin Liu, Tengfei Liu, Chunmei Wen, Nuan Wang, Sen Qun, Lishun Xiao, Qingwei Lai   +17 more
wiley   +1 more source