Results 211 to 220 of about 5,400,024 (317)

Quantitative Shape Irregularity and Density Heterogeneity Predict Hematoma Expansion in Patients With Intracerebral Hemorrhage

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Purpose This study aimed to explore the association between quantitative shape irregularity and density heterogeneity of hematomas and hematoma expansion (HE) for intracerebral hemorrhage (ICH) patients. Methods This cohort study included patients arriving within 24 h of symptom onset between August 2021 and July 2022 as the derivation cohort ...
Zeqiang Ji   +11 more
wiley   +1 more source

Quantitative Iron Measurements in the Basal Ganglia of NBIA Patients Using QSM: Insights From a Tertiary Center

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurodegeneration with brain iron accumulation (NBIA) comprises rare genetic disorders characterized by predominantly extrapyramidal symptoms and iron deposition in the basal ganglia. Conventional magnetic resonance imaging (MRI) detects qualitative changes but cannot accurately quantify iron accumulation. Quantitative susceptibility
Özge Uygun   +19 more
wiley   +1 more source

Repeatability of corneal curvature with the MS-39 anterior segment tomographer in a cataractous population. [PDF]

open access: yesPLoS One
Langenbucher A   +5 more
europepmc   +1 more source

Effects of Non‐Aspirin Nonsteroidal Anti‐Inflammatory Drugs on Acute Intracerebral Hemorrhage

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Despite celecoxib, a cyclooxygenase‐2 inhibitor, promoting functional recovery from intracerebral hemorrhage (ICH) by reducing inflammation‐mediated perihematomal edema in rat models, the evidence of its effects on patient outcomes remains limited.
Shin‐Joe Yeh   +3 more
wiley   +1 more source

Capturing nematic order on tissue surfaces of arbitrary geometry. [PDF]

open access: yesNat Commun
Eckert J   +9 more
europepmc   +1 more source

ICU‐EEG Pattern Detection by a Convolutional Neural Network

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano   +5 more
wiley   +1 more source

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