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Hilla University College Journal For Medical Science

Corresponding Author

Dunya Ali Mustafa

Authors ORCID

Dunya Ali Mustafa: https://orcid.org/0009-0005-1428-1143

Document Type

Original Study

Keywords

Magnetic resonance imaging, Type 1 diabetes, Gadolinium contrast, Oxidative stress, Cyclic voltammetry, Radio frequency

Abstract

Background: Type-1 diabetes (T1D) is one of the most prevalent chronic autoimmune diseases, which is characterized by the progressive destruction of insulin-secreting β cells. Evidence indicates that repeated or high-dose exposure to Gadolinium-Based Contrast Agents (GBCAs) during MRI can result in long-term tissue deposition and increased oxidative stress.

Objectives: This study aimed to estimate the oxidative effects of MRI exposure in patients with type-1 diabetes, before and after gadolinium contrast, for different time intervals, using cyclic voltammetry (CV) as an electrochemical analysis tool.

Materials and Methods: The study was performed at Ghazi Al-hariri Hospital in Baghdad, Iraq, from January to July 2025. It included (30) type-1 diabetic patients (15 males and 15 females), with ages ranging from (30–50) years. The patients were divided into three groups: 10 patients were not injected with GBCAs and were exposed to MRI for (5–50) minutes, 10 patients were injected with GBCAs and exposed to MRI for the same duration, and 10 patients were not exposed to MRI.

Results: The results showed a difference in the oxidation current peak (ΔIpa) suggesting that oxidative stress increased as exposure to MRI increased. Furthermore, patients injected with gadolinium had double this effect. This increase in (ΔIpa) occurred after 35 minutes of exposure. However, patients who were not exposed to MRI had no oxidative stress.

Conclusion: MRI exposure for a long time, particularly in patients who had type 1 diabetes and were injected with gadolinium, will significantly increase oxidative stress.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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