确定急性缺血性脑血管病的出血转化风险:ADC 值与 GRE 血流序列微出血之间的关系。

IF 0.9 4区 医学 Q4 CLINICAL NEUROLOGY
Ezgi Yakupoglu, Fusun Mayda Domac
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引用次数: 0

摘要

背景和目的:为了确定急性缺血性脑血管病患者出血性转变的风险,我们研究了在梗死区测量的表观弥散系数磁共振成像值与梯度回波序列磁共振成像观察到的微出血之间的关系:这项横断面研究共纳入了2019年6月至2020年3月期间在伊斯坦布尔省卫生局埃伦科伊精神和神经疾病培训与研究医院神经病学诊所住院的172名患者。根据人口统计学和临床特征,按年龄、性别、高血压、糖尿病、吸烟和酗酒对患者进行了分类。在应用于诊断急性缺血性脑血管病的头颅磁共振成像中,评估了明显扩散系数序列中的梗塞面积与感兴趣区值以及梯度回波血流序列中观察到的微出血之间的关系。在计算球形感兴趣区值时,对大于 1.5x1.5 厘米的病灶取 5 个感兴趣区值并求其算术平均值,对较小的病灶取单个球形感兴趣区值。将明显扩散系数磁共振成像感兴趣区平均值分为两组,分别为<500x10–6 mm2 /s和>500x10–6 mm2/s:结果:表面弥散系数感兴趣区平均值低于500x10-6 mm2/s组的患者在梯度回波序列磁共振成像中观察到微出血的概率明显更高(P:0.在梯度回波序列磁共振成像中观察到微出血患者再次发生微出血的概率也具有统计学意义(p:0.001)。在梯度回波序列磁共振成像中发现,缺血区有微出血的患者在缺血区以外的其他区域发生微出血的风险也明显更高:在我们的研究中,发现梗死区的微出血与感兴趣区的表观弥散系数值之间存在统计学意义上的显著关系。在查阅文献时,没有发现此类研究能确定出血的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of hemorrhagic transformation risk in acute ischemic cerebrovascular disease: The relationship between ADC values and GRE hemo sequence microhemorrhage.

Background and purpose:

To determine the risk of hemorrhagic transformation in patients with acute ischemic cerebrovascular disease, we investigated the relationship between Apparent Diffusion Coefficient Magnetic Resonance Imaging values measured within the infarct area and microbleeds observed on Gradient Echo Sequence Magnetic Resonance Imaging.

.

Methods:

A total of 172 patients who were hospitalized to the Neurology Clinic of the Istanbul Provincial Directorate of Health Erenkoy Mental and Nervous Diseases Training and Research Hospital between June 2019 and March 2020 were included in this cross-sectional study. The patients were classified according to their demographic and clinical characteristics, by age, gender, hypertension, diabetes mellitus, smoking, and alcohol use. In the Cranial Magnetic Resonance Imaging taken in the application for the diagnosis of acute ischemic cerebrovascular disease, the infarction area in Apparent Diffusion Coefficient sequences with the Region of Interest value and the relationship between microhemorrhage observed in Gradient Echo hemo-sequence was evaluated in Magnetic Resonance Imaging applied between 3-7 days. While calculating spherical Region of Interest values, 5 Region of Interest values were obtained for lesions larger than 1.5x1.5 cm, and their arithmetic mean was obtained, and single spherical Region of Interest value was taken for smaller ones. Apparent Diffusion Coefficient Magnetic Resonance Imaging Region of Interest mean values were divided into 2 groups as <500x10–6 mm2 /s and >500x10–6 mm2/s. 

.

Results:

Patients in the group with Apparent Diffusion Coefficient Region of Interest mean values below 500x10-6 mm2/s, had a significantly higher probability for microhemorrhage observes in Gradient Echo Sequence Magnetic Resonance Imaging (p: 0.001) and also more likely to experience microhemorrhage in other areas, which was statistically significant (p: 0.001).The probability of another micro-bleeding observed in patients with microhemorrhage Gradient Echo Sequence Magnetic Resonance Imaging was also statistically significant (p: 0,001). The risk of microbleeding in areas other than ischemia was also found to be significantly higher in patients with microbleeding in the ischemia area in Gradient Echo Sequence Magnetic Resonance Imaging.

.

Conclusion:

In our study, a statistically significant relationship was found between the microhemorrhage in the infarct area and the Apparent Diffusion Coefficient Region of Interest values. When the literature was reviewed, no such study was found to determine the risk of bleeding.

.

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来源期刊
Ideggyogyaszati Szemle-Clinical Neuroscience
Ideggyogyaszati Szemle-Clinical Neuroscience CLINICAL NEUROLOGY-NEUROSCIENCES
CiteScore
1.30
自引率
0.00%
发文量
40
审稿时长
>12 weeks
期刊介绍: The aim of Clinical Neuroscience (Ideggyógyászati Szemle) is to provide a forum for the exchange of clinical and scientific information for a multidisciplinary community. The Clinical Neuroscience will be of primary interest to neurologists, neurosurgeons, psychiatrist and clinical specialized psycholigists, neuroradiologists and clinical neurophysiologists, but original works in basic or computer science, epidemiology, pharmacology, etc., relating to the clinical practice with involvement of the central nervous system are also welcome.
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