年龄、体重指数和糖尿病是脑灌注不足的独立预测因素。

IF 0.6 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Zita Képes, Ferenc Nagy, Ádám Budai, Sándor Barna, Regina Esze, Sándor Somodi, Miklós Káplár, Ildikó Garai, József Varga
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引用次数: 0

摘要

背景:脑血流异常被认为是导致普通人群出现认知功能障碍的潜在风险因素。衰老、肥胖和 2 型糖尿病与导致认知障碍、神经变性和未来痴呆发展的脑灌注异常有关。在我们的研究中,除了已知的因素外,我们还旨在找出导致区域脑灌注变化的独立因素:研究对象包括 43 名 2 型糖尿病患者和 26 名肥胖患者。静脉注射 740 MBq 99mTc-hexamethylpropylene amine oxime (HMPAO)后,所有受试者均使用 AnyScan S Flex 双头伽马相机(匈牙利 Mediso 公司)接受了脑灌注 SPECT 成像检查。同时还使用飞利浦 Achieva 3T 扫描仪进行了脑静息态功能磁共振成像。SPECT和MRI图像经过共同注册并转换为MNI152图集空间,从而获得以下标准感兴趣体(VOI)的数据:额叶、顶叶、颞叶、枕叶、边缘区、扣带回、岛叶、基底节、大脑、边缘系统和脑干。使用 SPSS 25 统计软件包,采用一般线性回归分析、学生 t 检验和曼-惠特尼 U 检验进行统计分析:多变量线性分析表明,体重指数和年龄与灌注量显著相关(p < 0.0001),患者组别略高于临界值(p = 0.0524)。我们还发现,糖尿病的存在仅是岛叶区域脑灌注正常化的独立重要预测因素(p < 0.001)。其他预测区域脑灌注正常化的独立因素包括:岛叶(p < 0.001)和边缘区(p < 0.01)的年龄,以及脑干(p < 0.01)的体重指数:结论:年龄和体重指数被证明是脑灌注不足的一般预测因素,也是糖尿病区域预测因素。BMI似乎是影响脑灌注的一个新因素。在一个特定区域,即脑岛,我们发现肥胖组和糖尿病组之间存在差异。这些发现可能对了解代谢性疾病导致认知障碍的发展具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Age, BMI and diabetes as independent predictors of brain hypoperfusion.

Background: Cerebral blood flow abnormalities are supposed to be potential risk factors for developing cognitive dysfunction in the general population. Aging, obesity and type 2 diabetes mellitus are associated with perfusion abnormalities leading to cognitive impairment, neurodegeneration and future development of dementia. In our study, we aimed at identifying independent factors that contribute to the appearance of regional brain perfusion changes besides those that are already known.

Material and methods: Forty-three type 2 diabetic and twenty-six obese patients were enrolled. After the intravenous administration of 740 MBq 99mTc-hexamethylpropylene amine oxime (HMPAO), all subjects underwent brain perfusion SPECT imaging applying AnyScan S Flex dual-head gamma camera (Mediso, Hungary). Using Philips Achieva 3T scanner brain resting-state functional MRI was also performed. The SPECT and MRI images were co-registered and transformed to the MNI152 atlas space so that data of the following standard volumes of interest (VOIs) could be obtained: frontal lobe, parietal lobe, temporal lobe, occipital lobe, limbic region, cingulate, insula, basal ganglia, cerebrum, limbic system and brain stem. Using the SPSS 25 statistical software package, general linear regression analysis, Student's t-test, and Mann-Whitney U-test were applied for statistical analyses.

Results: Multivariate linear analysis identified that BMI and age are significantly (p < 0.0001) associated with perfusion, and patient group was slightly above threshold (p = 0.0524). We also found that the presence of diabetes was an independent significant predictor of normalized regional brain perfusion only in the insula (p < 0.001). Other independent predictors of normalized regional brain perfusion were: age in the insula (p < 0.001) and in the limbic region (p < 0.01), and BMI in the brain stem (p < 0.01).

Conclusions: Age and BMI proved to be general, and diabetes regional predictor of brain hypoperfusion. BMI appeared to be a novel factor affecting brain perfusion. In one specific region, the insula, we detected a difference between the obese and the diabetic group. These findings may be significant in the understanding of the development of cognitive impairment in metabolic diseases.

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来源期刊
NUCLEAR MEDICINE REVIEW
NUCLEAR MEDICINE REVIEW RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
1.40
自引率
0.00%
发文量
53
审稿时长
24 weeks
期刊介绍: Written in English, NMR is a biannual international periodical of scientific and educational profile. It is a journal of Bulgarian, Czech, Hungarian, Macedonian, Polish, Romanian, Russian, Slovak, Ukrainian and Yugoslav Societies of Nuclear Medicine. The periodical focuses on all nuclear medicine topics (diagnostics as well as therapy), and presents original experimental scientific papers, reviews, case studies, letters also news about symposia and congresses. NMR is indexed at Index Copernicus (7.41), Scopus, EMBASE, Index Medicus/Medline, Ministry of Education 2007 (4 pts.).
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