scholarly journals Is Magnetic Resonance Imaging Detection of Kidney Iron Deposition Increased in Haptoglobin 2-2 Genotype Carriers with Type 1 Diabetes?A version of the abstract was previously presented at the 77th Scientific Sessions of the American Diabetes Association, San Diego, CA, June 9–13, 2017.

2018 ◽  
Vol 29 (8) ◽  
pp. 735-741 ◽  
Author(s):  
Tina Costacou ◽  
Trevor J. Orchard ◽  
Chan Hong Moon ◽  
Kyongtae T. Bae ◽  
Linda Fried ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Type 1 Diabetes ◽  
Magnetic Resonance ◽  
San Diego ◽  
American Diabetes Association ◽  
Iron Deposition ◽  
Resonance Imaging ◽  
Imaging Detection

scholarly journals Manganese-Enhanced Magnetic Resonance Imaging Detects Declining Pancreatic β-Cell Mass in a Cyclophosphamide-Accelerated Mouse Model of Type 1 Diabetes

Diabetes ◽  
2012 ◽  
Vol 62 (1) ◽  
pp. 44-48 ◽  
Author(s):  
Patrick F. Antkowiak ◽  
Brian K. Stevens ◽  
Craig S. Nunemaker ◽  
Marcia McDuffie ◽  
Frederick H. Epstein
Keyword(s):  
Magnetic Resonance Imaging ◽  
Type 1 Diabetes ◽  
Magnetic Resonance ◽  
Mouse Model ◽  
Cell Mass ◽  
Pancreatic Β Cell ◽  
Resonance Imaging ◽  
Β Cell

scholarly journals Magnetic resonance imaging can diagnostic early morphofunctional changes in the myocardium in young people with type 1 diabetes

2019 ◽  
Vol 10 (1) ◽  
pp. 29-35
Author(s):  
Kirill A. Popov ◽  
Irina Z. Bondarenko ◽  
Elena V. Biryukova ◽  
Elena V. Averkieva ◽  
Alexander V. Vorontsov
Keyword(s):  
Magnetic Resonance Imaging ◽  
Type 1 Diabetes ◽  
Magnetic Resonance ◽  
Young People ◽  
Left Ventricle ◽  
Contrast Agent ◽  
Young Patients ◽  
Resonance Imaging ◽  
Functional Changes

Aim. To study the morphofunctional state of the myocardium in young people with diabetes mellitus 1 using magnetic resonance imaging (MRI) technology. Materials and methods. 38 patients (14 men, 24 women), aged 18 to 36 years old, with an experience of type 1 diabetes from 5 to 16 years old were underwent contrastive MRI of the heart. The exclusion criteria were: pronounced electrolyte disorders in the blood, dysproteinemia, chronic liver and kidney failure - glomerular filtration rate (EPI)≤60 ml/min/1.73 m2, thyroid dysfunction, obesity (body mass index ≥30 kg/m2), diagnosed cardiovascular diseases, contraindications for MRI. The indicators of functional changes in the left ventricle (circular strain, strain relaxation index - SRI), peak early diastolic strain (PSRDS) were obtained and the accumulation of the contrast agent in the delayed period were assessed. Results. The obtained results of strain, SRI, PSRDS do not allow to exclude the presence of functional changes in the myocardium of the left ventricle. In 42.11%, zones of accumulation of the contrast agent were visualized in the delayed period (insignificant - 28.95% and moderate accumulation - 13.16%), mainly by the endocardium of the cardiac apparatus (mitral and tricuspid), and in one observation (2.9%) - in combination with unexpressed diffuse heterogeneity of the myocardium of the left ventricle. Conclusion. MRI of the heart is a promising direction in the assessment of early morphofunctional changes in the structure of the myocardium, which will probably make it possible to predict life-threatening changes in the heart muscle in young patients with type 1 diabetes.

scholarly journals Variability of glycemia in patients with type 1 diabetes mellitus: the relationship with cognitive dysfunction and the results of magnetic resonance imaging

2018 ◽  
Vol 64 (5) ◽  
pp. 286-291 ◽  
Author(s):  
Iuliia G. Samoilova ◽  
Maria A. Rotkank ◽  
Natali G. Zhukova ◽  
Mariia V. Matveeva ◽  
Ivan V. Tolmachev ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Magnetic Resonance ◽  
Neuropsychological Testing ◽  
Glycemic Variability ◽  
Resonance Imaging ◽  
Matter Volume ◽  
The Brain

Background. Variability of glycemia is an important problem in the control of diabetes mellitus. It can be assumed that cognitive impairment associated with this disease is due to the fact that variability of glycemia affects not only the structure, but also metabolism of the brain. Objective — the study was aimed at assessing the values of glycemia variability, as well as their relationship with neuropsychological testing and magnetic resonance imaging data in patients with type 1 diabetes mellitus (DM1). Material and methods. We carried out a one-stage observational study of sex and age matched patients with DM1 and individuals without diabetes. All participants underwent neuropsychological testing, magnetic resonance imaging (MRI), and proton magnetic resonance spectroscopy (PMRS) of the brain; fasting plasma glucose and glycated hemoglobin (HbA1c) levels were assessed. The results of continuous monitoring of glycemia were analyzed in DM1 patients followed by calculation of glycemic variability coefficients. Results. DM1 58 patients demonstrated decrease in neuropsychological testing scores (p<0.05), decrease in the gray matter volume (p=0.004), and increase in the white matter volume (p=0.001), as well as impaired metabolism of the brain (p<0.05). Correlations between the total result of the MoCa test and LI (r=–0.34; p=0.008), MODD (r=–0.36; p=0.005), and ADRR (r=–0.28; p=0.032) were found. Negative relationship between the CONGA index and the volume of the left hippocampus (r=–0.27; p=0.044) was found. There were also some correlations between the glycemic variability indexes and the content of the main metabolites in different areas of the brain (p<0.05). Conclusion. MD1 patients with cognitive dysfunction demonstrated anatomical and metabolic brain disorders associated with glycemic variability.

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