Age, BMI and diabetes as independent predictors of brain hypoperfusion

Képes, Zita; Nagy, Ferenc; Budai, Ádám; Barna, Sándor; Esze, Regina; Somodi, Sándor; Káplár, Miklós; Garai, Ildikó; Varga, József

doi:10.5603/nmr.2021.0002

Cited by 11 publications

(9 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…( Birdsill et al., 2013 ) To date, studies investigating cerebral blood flow, particularly in in older adults, have been limited by small cohort sizes, as well as limitations with the imaging modalities used; however, previously reported results are in line with the present work with regards obesity and cerebral haemodynamic associations. ( Alosco et al., 2012 ; Birdsill et al., 2013 ; Képes et al., 2021 ; Selim et al., 2008 ; Willeumier et al., 2011 )…”

Section: Discussionmentioning

confidence: 99%

“…of 26 individuals (median age = 53.5 ± 9.9 years) BMI was also reported to be significantly associated with brain perfusion measured using SPECT. ( Képes et al., 2021 ) There are however several limitations to SPECT imaging, including that protocols tend to be lengthy and inefficient, potentially unreliable supply of Tc-99m, it requires the use of ionizing radiation and can be prohibitively expensive. ( Bateman, 2012 )…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Obesity is associated with reduced cerebral blood flow – modified by physical activity

Knight

Laird

Williamson

et al. 2021

Neurobiology of Aging

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Obesity is associated with reduced cerebral blood flow – modified by physical activity

Knight

Laird

Williamson

et al. 2021

Neurobiology of Aging

View full text Add to dashboard Cite

show abstract

“…Показано, что СД является независимым предиктором развития региональной гипоперфузии и когнитивных нарушений при СД, особенно 2 типа [12]. Предыдущие исследования с использованием в основном полуколичественных методов для сравнения регионального мозгового потока с глобальным мозговым кровообращением у больных СД 1 типа показали снижение CBF в целом [13,14].…”

Section: Discussionunclassified

Brain perfusion in type 1 diabetes and cognitive dysfunction

Самойлова

Матвеева

Тонких

et al. 2021

Medicinskaâ vizualizaciâ

View full text Add to dashboard Cite

The purpose. To evaluate brain microcirculation using contrast and non-contrast magnetic resonance perfusion in patients with type 1 diabetes and cognitive dysfunction.Material and methods. The study complies with generally accepted ethical rules. The study included 45 patients with type 1 diabetes and cognitive dysfunction and 20 patients without. Every patient included in the study was continuously monitoring glycemia with evaluation of variability coefficients. MRI was performed using a magnetic resonance imaging scanner Signa Creator “E”, GE Healthcare, 1.5 Tl, China: methods – dynamic contrast (“Gadovist”, w/w, bolusno, 5 ml) and arterial spin marks. SPSS Statistic software package was used for statistical analysis.Results. Blood flow decreased in patients with type 1 type and cognitive dysfunction in the areas of white and gray matter of frontal, occipital and temporal lobes, and shells (p ≤ 0.05). According to perfusion data, hyperglycemia and the following glycemic variability indices have the greatest influence on cortical structures: glycemic index of prolonged glycemia increase, risk of hyperglycemia and hypoglycemia, glycemic rate of change, glycemic control quality indicator, and in case of non-contrast glycemic control quality and glycemic rate of change, risks of hypo and hyperglycemia. The main factors of changes in brain microcirculation are episodes of severe hypoglycemia in the anamnesis, duration of the disease, arterial hypertension, high cholesterol levels. No separate markers for the evaluation of cognitive disturbances in type 1 diabetes were revealed.Conclusions. The basis of microcirculatory brain disorders in type 1 diabetes is the level of HbA1c and variability of glycemia as well as acute complications, duration of diabetes and associated conditions (arterial hypertension and hypercholesterolemia). The most important data were obtained during contrast perfusion.

show abstract

“…[ 99m Tc]HMPAO leg uptake was examined as a part of brain perfusion studies (26). We previously investigated the cerebral perfusion of individuals with metabolic diseases who were considered to be at risk for developing neurovascular impairments.…”

Section: Methodsmentioning

confidence: 99%

Imaging with [^99mTc]HMPAO – a novel perspective: investigation of [^99mTc]HMPAO leg muscle uptake in metabolic diseases

et al. 2021

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Age, BMI and diabetes as independent predictors of brain hypoperfusion

Cited by 11 publications

References 0 publications

Obesity is associated with reduced cerebral blood flow – modified by physical activity

Obesity is associated with reduced cerebral blood flow – modified by physical activity

Brain perfusion in type 1 diabetes and cognitive dysfunction

Imaging with [^99mTc]HMPAO – a novel perspective: investigation of [^99mTc]HMPAO leg muscle uptake in metabolic diseases

Contact Info

Product

Resources

About

Age, BMI and diabetes as independent predictors of brain hypoperfusion

Cited by 11 publications

References 0 publications

Obesity is associated with reduced cerebral blood flow – modified by physical activity

Obesity is associated with reduced cerebral blood flow – modified by physical activity

Brain perfusion in type 1 diabetes and cognitive dysfunction

Imaging with [99mTc]HMPAO – a novel perspective: investigation of [99mTc]HMPAO leg muscle uptake in metabolic diseases

Contact Info

Product

Resources

About

Imaging with [^99mTc]HMPAO – a novel perspective: investigation of [^99mTc]HMPAO leg muscle uptake in metabolic diseases