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The research aims to investigate how brain iron accumulation relates to cognitive impairment in beta-thalassemia major.

Sub-voxel Susceptibility Mapping and Machine Learning to Detect Brain Iron Deposition and Its Cognitive Relevance in Beta-Thalassemia

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The research aims to investigate how brain iron accumulation relates to cognitive impairment in beta-thalassemia major.
Fifty beta-thalassemia patients and fifty healthy controls underwent 3T MRI scanning.
Sub-voxel chi-separation extracted magnetic susceptibility data from specific brain regions.
Three machine learning classifiers were used to analyze the data and identify features associated with cognitive scores.
Patients with beta-thalassemia exhibited higher paramagnetic susceptibility in the hippocampus and insula.
The support vector machine classifier achieved a mean AUC of 0.919, outperforming random forest and XGBoost.
Higher susceptibility in specific brain regions was linked to lower Montreal Cognitive Assessment scores.

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Randomized trial assesses brain iron deposition's cognitive impact in beta-thalassemia patients, suggesting important imaging insights.

Yang et al. (2026) studied this question.

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