医学
实质内出血
头痛
放射科
血栓形成
回顾性队列研究
静脉血栓形成
磁共振成像
梗塞
外科
内科学
蛛网膜下腔出血
心肌梗塞
作者
Ranjodh Singh,William P. Cope,Zhiping Zhou,Michelle E. De Witt,John Andrew Boockvar,Apostolos John Tsiouris
出处
期刊:Journal of Neurosurgery
[American Association of Neurological Surgeons]
日期:2015-03-20
卷期号:123 (2): 427-433
被引量:42
标识
DOI:10.3171/2014.9.jns141813
摘要
OBJECT: Isolated cortical vein thrombosis (ICVT) accounts for less than 1% of all cerebral infarctions. ICVT may cause irreversible parenchymal damage, rendering early and accurate diagnosis critical. This case series and literature review presents the clinical and radiological findings in 7 patients with ICVT, and highlights risk factors and imaging modalities that may be most beneficial in rendering an accurate and timely diagnosis. METHODS: Patients with CT and MRI findings consistent with ICVT examined between January 2011 and June 2014 were included in this retrospective review. RESULTS: Seven patients (5 females, 2 males), ranging in age from 11 months to 34 years, met the inclusion criteria. The most common clinical presentations were headaches (n = 4) and seizures (n = 3). The most common comorbidities noted in these patients were hypercoagulable states (n = 4) and intracranial hypotension (n = 3). Five patients had intraparenchymal involvement. CT suggested the correct diagnosis in 4 patients, and MRI confirmed the diagnosis in all 7 patients. All patients who received anticoagulation therapy (n = 5) experienced complete resolution of their symptoms. CONCLUSIONS: The majority of these patients were adult females, consistent with published data. Seizures and headaches were the most common presenting symptoms. Hypercoagulable state and intracranial hypotension, both known risk factors for thrombosis, were the most commonly noted ICVT risk factors. Intraparenchymal involvement was prevalent in nearly all ICVT cases and presented as vasogenic edema, early intraparenchymal hemorrhage, or hemorrhagic venous infarction. Susceptibility-weighted imaging was the most sensitive imaging technique in diagnosing ICVT.
科研通智能强力驱动
Strongly Powered by AbleSci AI