Zita Képes, Ferenc Nagy, Ádám Budai, Sándor Barna, Regina Esze, Sándor Somodi, Miklós Káplár, Ildikó Garai, József Varga
{"title":"年龄、体重指数和糖尿病是脑灌注不足的独立预测因素。","authors":"Zita Képes, Ferenc Nagy, Ádám Budai, Sándor Barna, Regina Esze, Sándor Somodi, Miklós Káplár, Ildikó Garai, József Varga","doi":"10.5603/NMR.2021.0002","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Material and methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":44718,"journal":{"name":"NUCLEAR MEDICINE REVIEW","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Age, BMI and diabetes as independent predictors of brain hypoperfusion.\",\"authors\":\"Zita Képes, Ferenc Nagy, Ádám Budai, Sándor Barna, Regina Esze, Sándor Somodi, Miklós Káplár, Ildikó Garai, József Varga\",\"doi\":\"10.5603/NMR.2021.0002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Material and methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>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. 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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.
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.).