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001-es BibID:	BIBFORM098876
035-os BibID:	(WoS)000730245900001 (Scopus)85121287053
Első szerző:	Képes Zita (orvos)
Cím:	Imaging with [99mTc]HMPAO - a novel perspective : investigation of [99mTc] HMPAO leg muscle uptake in metabolic diseases / Zita Képes, Márton Mikó, Kornél Kukuts, Regina Esze, Sándor Barna, Sándor Somodi, Miklós Káplár, József Varga, Ildikó Garai
Dátum:	2023
ISSN:	0284-1851
Megjegyzések:	Background: Sensitive imaging modalities in the diagnosis of microcircular complications of the lower extremities induced by metabolic diseases are becoming a focus of interest. Purpose: To investigate the [99mTc]HMPAO uptake of the legs in type 2 diabetes mellitus (T2DM) and obesity, and to search for associations with clinical parameters and nerve conducting studies. Material and Methods: A total of 57 patients with controlled T2DM and 46 obese participants without DM were enrolled in the study. [99mTc]HMPAO SPECT/CT examinations were performed to evaluate the radiopharmaceutical accumulation of the legs. For the quantitative assessment of tracer uptake, standardized uptake value (SUVpeak) was measured in fixed spheric volumes of interest placed on both sural muscles on the attenuation-corrected images. Measurement of current perception threshold applying Neurometer (NM-01/CPT) was used to evaluate peripheral nerve dysfunction. Laboratory parameters assessing the glucose homeostasis of the study participants were also measured. Results: In the diabetic group, significantly lower leg SUV values were detected compared to the non-DM obese group (median: 0.517 vs. 0.607; P < 0.001). Body mass index (BMI) (P < 0.0001), age (P=0.0283), HbA1c (P =0.0068), and glucose level (P =0.0044) proved to be significant predictors of muscle tracer uptake. Neurometer studies showed positive correlation with HbA1c levels in the T2DM group (P=0.0002). Conclusion: We assume that [99mTc]HMPAO uptake of leg muscles is associated with microcirculation, so quantitative [99mTc]HMPAO SPECT/CT might be a sensitive method for evaluating lower limb microvascular alterations. BMI, age, HbA1c, and glucose level may be significant predictors of peripheral vascular abnormalities triggered by metabolic disturbances. Keywords: [99mTc]HMPAO, lower extremity, microcirculation, polyneuropathy, obesity, type 2 diabetes mellitus
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk [99mTc]HMPAO lower extremity microcirculation polyneuropathy obesity type 2 diabetes mellitus
Megjelenés:	Acta Radiologica. - 64 : 1 (2023), p. 187-194. -
További szerzők:	Mikó Márton (1990-) Kukuts Kornél Esze Regina Barna Sándor (1982-) (kutató orvos) Somodi Sándor (1977-) (belgyógyász) Káplár Miklós (1965-) (belgyógyász, diabetológus) Varga József (1955-) (fizikus) Garai Ildikó (1966-) (radiológus)
Pályázati támogatás:	2.1.1-15-2015-00609 GINOP
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM091295
035-os BibID:	(WOS)000619709200003 (Scopus)85101478501
Első szerző:	Képes Zita (orvos)
Cím:	Age, BMI and diabetes as independent predictors of brain hypoperfusion / Zita Képes, Ferenc Nagy, Ádám Budai, Sándor Barna, Regina Esze, Sándor Somodi, Miklós Káplár, Ildikó Garai, József Varga
Dátum:	2021
ISSN:	1506-9680 1644-4345
Megjegyzések:	Background: Cerebral blood flow abnormalities are supposed to be potential risk factors for developing cognitive dysfunction in general population. Aging, obesity and type 2 diabetes mellitus are associated with perfusion abnormalities leading to cognitive impairment, neurodegeration and future development of dementia. In our study we aimed at identifying independent factors that contribute to the appearance of 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 Tc99m-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 difference between the obes and the diabetic group. These findings may be significant in the understanding of the development of cognitive impairment in metabolic diseases.
Tárgyszavak:	Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk brain perfusion SPECT type 2 diabetes mellitus obesity insula limbic region brain stem
Megjelenés:	Nuclear Medicine Review. - 24 : 1 (2021), p. 11-15. -
További szerzők:	Nagy Ferenc Budai Ádám Barna Sándor (1982-) (kutató orvos) Esze Regina Somodi Sándor (1977-) (belgyógyász) Káplár Miklós (1965-) (belgyógyász, diabetológus) Garai Ildikó (1966-) (radiológus) Varga József (1955-) (fizikus)
Pályázati támogatás:	2.1.1-15-2015-00609 GINOP
Internet cím:	DOI Intézményi repozitóriumban (DEA) tárolt változat
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