Suppr超能文献

单光子发射计算机断层扫描(SPET)检测早期神经白塞病中的脑灌注不足。

Cerebral hypoperfusion detected by SPET in early neuro-Behçet syndrome.

作者信息

Trotta F, Bajocchi G, Colamussi P, Sandri G, Ciancio G, Tola M R, Menegale G, Cittanti C, Giganti M, Piffanelli A

机构信息

Division of Rheumatology, St. Anna Hospital and University, Ferrara, Italy.

出版信息

Nucl Med Commun. 1998 Aug;19(8):777-80. doi: 10.1097/00006231-199808000-00008.

Abstract

We used brain single-photon emission tomography (SPET) to detect hypoperfused areas in 15 consecutive Behçet syndrome patients. Five were suspected of having neuro-Behçet syndrome, having at least one neurological symptom. For these patients, SPET was performed within 1 month of the onset of nervous system involvement. The 15 patients fulfilled the criteria of the International Study Group for Behçet syndrome. Neurological assessment and SPET were complemented by EEG in all five patients with suspected neuro-Behçet syndrome and by magnetic resonance imaging in three. Brain SPET detected hypoperfused regions in all five neurological patients; EEG showed abnormalities in three. Magnetic resonance imaging was normal in the three patients in whom it was performed. SPET was negative in all patients without neurological involvement and 20 healthy controls. SPET detected a reduction in brain blood flow in early neuro-Behçet syndrome, but there was no definitive correlation between the hypoperfused brain regions and the clinical features. Further studies are required to evaluate the significance of brain hypoperfusion and the value of SPET in the early diagnosis of neuro-Behçet syndrome.

摘要

我们使用脑单光子发射断层扫描(SPET)检测了15例连续性白塞病患者的灌注不足区域。其中5例怀疑患有神经白塞病,至少有1种神经症状。对于这些患者,在神经系统受累发病1个月内进行了SPET检查。这15例患者均符合国际白塞病研究组的标准。对所有5例疑似神经白塞病的患者进行了神经评估,并通过脑电图进行补充检查,对其中3例还进行了磁共振成像检查。脑SPET在所有5例神经受累患者中均检测到灌注不足区域;脑电图显示3例异常。进行磁共振成像检查的3例患者结果均正常。SPET在所有无神经受累的患者及20名健康对照中均为阴性。SPET检测到早期神经白塞病患者脑血流量减少,但灌注不足的脑区与临床特征之间没有明确的相关性。需要进一步研究来评估脑灌注不足的意义以及SPET在神经白塞病早期诊断中的价值。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验