The Journal of NeuroInterventional Surgery (JNIS) is a leading peer review journal for scientific research and literature pertaining to the field of neurointerventional surgery. The journal was ...

Frederick P Mariajoseph, Leon T Lai, Adrian Praeger, Justin Moore, Ronil V Chandra, Hamed Asadi, Peter Fawzy, Laetitia de Villiers, Tony Goldschlager, Albert Ho Yuen Chiu, Boaz Kim, Ferdinand Miteff, ...

Background The first-pass effect (FPE) is linked to better safety and efficacy prognosis in patients with small- to- moderate sized ischemic infarctions. We evaluated the incidence, prognosis, and ...

Background Acute ischemic stroke often necessitates neuroendovascular interventions such as thrombectomy and, occasionally, stenting for large vessel occlusions or intracranial atherosclerotic disease ...

Large vessel occlusion causing acute ischemic stroke is ideally treated with endovascular clot retrieval, which is increasingly being performed via direct aspiration thrombectomy. Successful ...

Background and purpose Collateral blood flow to the affected cerebral territory in acute ischemic stroke may modify the effect of intravenous alteplase treatment (IVT) prior to endovascular treatment ...

AVM angioarchitecture Risk stratification of AVM rupture has been mainly based on the presence of certain radiologic parameters and AVM angioarchitecture features. The location of the AVM has been ...

Background Half of patients who achieve successful recanalization following endovascular thrombectomy (EVT) for acute ischemic stroke experience poor functional outcome. We aim to investigate whether ...

Background Cerebrospinal fluid-venous fistulas (CSFVF) are a common cause of spontaneous intracranial hypotension (SIH). Transvenous embolization has emerged as a reliable treatment option. We review ...

Background Whether the safety and efficacy of percutaneous transluminal angioplasty and stenting (PTAS) is significantly different from that of medical treatment alone for symptomatic intracranial ...

Background Detecting and segmenting intracranial aneurysms (IAs) from angiographic images is a laborious task. Objective To evaluates a novel deep-learning algorithm, named vessel attention (VA)-Unet, ...

Background Reducing stroke workflow times when performing endovascular thrombectomy is associated with improvement in clinical outcomes. We compared outcomes among large vessel occlusion (LVO) stroke ...