Results 111 to 120 of about 609,746 (312)

Aneurysm Wall Enhancement and Probability of Instability in Unruptured Intracranial Aneurysms: A Long‐Term Follow‐Up Study

open access: yesAnnals of Neurology, EarlyView.
Objective Aneurysm wall enhancement (AWE) may predict aneurysm growth and rupture in the short‐term, but there is a lack of long‐term follow‐up studies. We aimed to determine whether unruptured intracranial aneurysms (UIAs) with AWE have a higher probability of aneurysm instability during long‐term follow‐up compared with those without AWE. Methods For
Laura T. van der Kamp   +9 more
wiley   +1 more source

A Systematic Review of Optic Disc Drusen in the Modern Imaging Era: Structure–Function Correlates, Diagnostic Performance, and NAION Co-Occurrence

open access: yesDiagnostics
Background and Objectives: Optic disc drusen (ODD) can mimic papilledema and are linked to structural crowding, microvascular change, and visual-field loss.
Alina Dumitriu   +8 more
doaj   +1 more source

Revisiting Incomplete Tissue‐Level Reperfusion Following Successful Thrombectomy for Acute Ischemic Stroke

open access: yesAnnals of Neurology, EarlyView.
Among patients with acute ischemic stroke achieving successful large vessel recanalization (defined as expanded Thrombolysis in Cerebral Infarction [eTICI ≥2b]), incomplete tissue‐level reperfusion, distinct from visually identifiable distal occlusion on digital‐subtraction angiography, remains a significant challenge.
Yue Qiao   +4 more
wiley   +1 more source

DNase1 RS1053874 Polymorphism is Associated with Early Neurological Recovery through NET Modulation and with Long‐Term Survival in Ischemic Stroke: A Prospective Cohort Study

open access: yesAnnals of Neurology, EarlyView.
Objective Immunothrombosis contributes to ischemic stroke pathophysiology through neutrophil extracellular trap (NET) formation, which promotes thrombus stabilization and microvascular dysfunction. DNase1 is the principal endonuclease responsible for NET degradation.
B. Díaz‐Benito   +10 more
wiley   +1 more source

Clot Composition Profiling in Large Vessel Occlusion Stroke Via Radiomics

open access: yesAnnals of Neurology, EarlyView.
Objective Clot composition may offer insights into the mechanism of ischemic stroke. Radiomics, a noninvasive imaging technique, enables tissue characterization through radiomic features (RFs). We aimed to evaluate clot composition using radiomics on non‐contrast computed tomography (NCCT).
Andres Gudino   +23 more
wiley   +1 more source

Improved image quality after use of iterative reconstruction in coronary Dual-Source CT angiographies of obese patients: comparison to traditional filtered back projection [PDF]

open access: bronze, 2013
Christian Layritz   +9 more
openalex   +1 more source

Hypo-attenuating Berry Sign as a Novel Imaging Marker of Ruptured Aneurysm in Patients with Subarachnoid Hemorrhage; a Diagnostic Accuracy Study

open access: yesArchives of Academic Emergency Medicine
Introduction: Aneurysmal subarachnoid hemorrhage (SAH) constitutes a life-threatening condition, and identifying the ruptured aneurysm is essential for further therapy. This study aimed to evaluate the diagnostic accuracy of hypo-attenuating berry sign (
Xin-Wei zhou   +9 more
doaj   +1 more source

Glaucomatous vertical vessel density asymmetry of the temporal raphe detected with optical coherence tomography angiography. [PDF]

open access: yes, 2020
Changes in retinal vasculature and ocular circulation may play an important role in the glaucoma development and progression. We evaluated the vertical asymmetry across the temporal raphe of the deep retinal layer vessel density, using swept-source ...
Araie, Makoto   +6 more
core  

Machine learning methods for predicting adverse drug events: A systematic review

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Abstract Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high‐risk patients and reducing health‐care costs. While traditional methods struggle with the complexity of health‐care data, machine learning (ML) models offer improved prediction capabilities; however, their effectiveness in ...
Niaz Chalabianloo   +8 more
wiley   +1 more source

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