Reversible cerebral vasoconstriction syndrome: review of neuroimaging findings

التفاصيل البيبلوغرافية
العنوان: Reversible cerebral vasoconstriction syndrome: review of neuroimaging findings
المؤلفون: Teresa Perillo, Chiara Paolella, Giulia Perrotta, Antonietta Serino, Ferdinando Caranci, Andrea Manto
المصدر: La radiologia medica. 127:981-990
بيانات النشر: Springer Science and Business Media LLC, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Cerebrovascular Disorders, Headache Disorders, Primary, Vasoconstriction, Humans, Vasospasm, Intracranial, Neuroimaging, Radiology, Nuclear Medicine and imaging, Posterior Leukoencephalopathy Syndrome, General Medicine
الوصف: Reversible cerebral vasoconstriction syndrome (RCVS) is a group of disorders characterized by segmental narrowing and dilatation of medium-to-large cerebral arteries, clinically presenting with recurrent episodes of sudden-onset thunderclap headaches, with or without focal neurological deficits. Cerebral vasoconstriction is typically reversible, with spontaneous resolution within 3 months. Although the syndrome has generally a benign course, patients with neurological deficits may experience worse outcome. The main imaging finding is segmental constriction of intracranial arteries, which can be associated with subarachnoid hemorrhage and/or ischemic foci. Other possible findings are intracranial hemorrhage, subdural bleeding and cerebral edema. The latter may have a pattern which can resemble that of posterior reversible encephalopathy syndrome, a condition that can overlap with RCVS. New imaging techniques, such as vessel wall imaging and arterial spin labeling, are proving useful in RCVS and are giving new insights into the pathophysiology of this condition. In this paper, we aim to review neuroimaging findings of RCVS.
تدمد: 1826-6983
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd713ce25f0f8f23d4b9d8757286dc43Test
https://doi.org/10.1007/s11547-022-01532-2Test
حقوق: CLOSED
رقم الانضمام: edsair.doi.dedup.....bd713ce25f0f8f23d4b9d8757286dc43
قاعدة البيانات: OpenAIRE