White matter microstructure abnormalities in thalassemia patients using TBSS analysis based on DTI

Thalassemia is a hereditary hemoglobinopathy characterized by severe anemia and iron overload, which may affect brain microstructure. This study aims to investigate changes in the white matter (WM) microstructure of patients with β-thalassemia using diffusion tensor imaging (DTI) and tract-based spa...

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Published inScientific reports Vol. 15; no. 1; pp. 17929 - 10
Main Authors Yang, Mingrui, Chen, Guowei, Luo, Chaotian, Tang, Cheng, Peng, Fei, Kong, Rong, Peng, Peng
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 23.05.2025
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Abstract Thalassemia is a hereditary hemoglobinopathy characterized by severe anemia and iron overload, which may affect brain microstructure. This study aims to investigate changes in the white matter (WM) microstructure of patients with β-thalassemia using diffusion tensor imaging (DTI) and tract-based spatial statistics (TBSS) analysis. The study included 40 patients with β-thalassemia (aged 18–45 years, mean age 30.65 years) and 40 healthy controls (aged 18–45 years, mean age 30.13 years). All participants underwent 3.0 T MRI scans. DTI data were processed using the FSL software package, focusing on the assessment of four indices: fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD). The receiver operating characteristic (ROC) curve area under the curve (AUC) was calculated for these indices to highlight the potential value of white matter regions in distinguishing between patient and control group. Compared to the control group, patients with β-thalassemia showed decreased FA and increased MD and RD in multiple white matter tracts. ROC curve analysis showed high AUC values for FA, MD, and RD (0.868, 0.854, and 0.847, respectively). The results suggest that patients with β-thalassemia may have widespread abnormalities in the white matter microstructure.
AbstractList Thalassemia is a hereditary hemoglobinopathy characterized by severe anemia and iron overload, which may affect brain microstructure. This study aims to investigate changes in the white matter (WM) microstructure of patients with β-thalassemia using diffusion tensor imaging (DTI) and tract-based spatial statistics (TBSS) analysis. The study included 40 patients with β-thalassemia (aged 18–45 years, mean age 30.65 years) and 40 healthy controls (aged 18–45 years, mean age 30.13 years). All participants underwent 3.0 T MRI scans. DTI data were processed using the FSL software package, focusing on the assessment of four indices: fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD). The receiver operating characteristic (ROC) curve area under the curve (AUC) was calculated for these indices to highlight the potential value of white matter regions in distinguishing between patient and control group. Compared to the control group, patients with β-thalassemia showed decreased FA and increased MD and RD in multiple white matter tracts. ROC curve analysis showed high AUC values for FA, MD, and RD (0.868, 0.854, and 0.847, respectively). The results suggest that patients with β-thalassemia may have widespread abnormalities in the white matter microstructure.
Abstract Thalassemia is a hereditary hemoglobinopathy characterized by severe anemia and iron overload, which may affect brain microstructure. This study aims to investigate changes in the white matter (WM) microstructure of patients with β-thalassemia using diffusion tensor imaging (DTI) and tract-based spatial statistics (TBSS) analysis. The study included 40 patients with β-thalassemia (aged 18–45 years, mean age 30.65 years) and 40 healthy controls (aged 18–45 years, mean age 30.13 years). All participants underwent 3.0 T MRI scans. DTI data were processed using the FSL software package, focusing on the assessment of four indices: fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD). The receiver operating characteristic (ROC) curve area under the curve (AUC) was calculated for these indices to highlight the potential value of white matter regions in distinguishing between patient and control group. Compared to the control group, patients with β-thalassemia showed decreased FA and increased MD and RD in multiple white matter tracts. ROC curve analysis showed high AUC values for FA, MD, and RD (0.868, 0.854, and 0.847, respectively). The results suggest that patients with β-thalassemia may have widespread abnormalities in the white matter microstructure.
Thalassemia is a hereditary hemoglobinopathy characterized by severe anemia and iron overload, which may affect brain microstructure. This study aims to investigate changes in the white matter (WM) microstructure of patients with β-thalassemia using diffusion tensor imaging (DTI) and tract-based spatial statistics (TBSS) analysis. The study included 40 patients with β-thalassemia (aged 18-45 years, mean age 30.65 years) and 40 healthy controls (aged 18-45 years, mean age 30.13 years). All participants underwent 3.0 T MRI scans. DTI data were processed using the FSL software package, focusing on the assessment of four indices: fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD). The receiver operating characteristic (ROC) curve area under the curve (AUC) was calculated for these indices to highlight the potential value of white matter regions in distinguishing between patient and control group. Compared to the control group, patients with β-thalassemia showed decreased FA and increased MD and RD in multiple white matter tracts. ROC curve analysis showed high AUC values for FA, MD, and RD (0.868, 0.854, and 0.847, respectively). The results suggest that patients with β-thalassemia may have widespread abnormalities in the white matter microstructure.Thalassemia is a hereditary hemoglobinopathy characterized by severe anemia and iron overload, which may affect brain microstructure. This study aims to investigate changes in the white matter (WM) microstructure of patients with β-thalassemia using diffusion tensor imaging (DTI) and tract-based spatial statistics (TBSS) analysis. The study included 40 patients with β-thalassemia (aged 18-45 years, mean age 30.65 years) and 40 healthy controls (aged 18-45 years, mean age 30.13 years). All participants underwent 3.0 T MRI scans. DTI data were processed using the FSL software package, focusing on the assessment of four indices: fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD). The receiver operating characteristic (ROC) curve area under the curve (AUC) was calculated for these indices to highlight the potential value of white matter regions in distinguishing between patient and control group. Compared to the control group, patients with β-thalassemia showed decreased FA and increased MD and RD in multiple white matter tracts. ROC curve analysis showed high AUC values for FA, MD, and RD (0.868, 0.854, and 0.847, respectively). The results suggest that patients with β-thalassemia may have widespread abnormalities in the white matter microstructure.
Thalassemia is a hereditary hemoglobinopathy characterized by severe anemia and iron overload, which may affect brain microstructure. This study aims to investigate changes in the white matter (WM) microstructure of patients with β-thalassemia using diffusion tensor imaging (DTI) and tract-based spatial statistics (TBSS) analysis. The study included 40 patients with β-thalassemia (aged 18–45 years, mean age 30.65 years) and 40 healthy controls (aged 18–45 years, mean age 30.13 years). All participants underwent 3.0 T MRI scans. DTI data were processed using the FSL software package, focusing on the assessment of four indices: fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD). The receiver operating characteristic (ROC) curve area under the curve (AUC) was calculated for these indices to highlight the potential value of white matter regions in distinguishing between patient and control group. Compared to the control group, patients with β-thalassemia showed decreased FA and increased MD and RD in multiple white matter tracts. ROC curve analysis showed high AUC values for FA, MD, and RD (0.868, 0.854, and 0.847, respectively). The results suggest that patients with β-thalassemia may have widespread abnormalities in the white matter microstructure.
ArticleNumber 17929
Author Tang, Cheng
Luo, Chaotian
Peng, Peng
Kong, Rong
Chen, Guowei
Peng, Fei
Yang, Mingrui
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Issue 1
Keywords Microstructural abnormalities
Iron overload
Thalassemia
Tract-based spatial statistics
White matter
Diffusion tensor imaging
Language English
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Snippet Thalassemia is a hereditary hemoglobinopathy characterized by severe anemia and iron overload, which may affect brain microstructure. This study aims to...
Abstract Thalassemia is a hereditary hemoglobinopathy characterized by severe anemia and iron overload, which may affect brain microstructure. This study aims...
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SubjectTerms 631/378/1689
692/308
692/617/375/1345
Adolescent
Adult
Anisotropy
beta-Thalassemia - diagnostic imaging
beta-Thalassemia - pathology
Blood diseases
Case-Control Studies
Diffusion tensor imaging
Diffusion Tensor Imaging - methods
Female
Hemoglobinopathy
Humanities and Social Sciences
Humans
Iron overload
Magnetic resonance imaging
Male
Microstructural abnormalities
Middle Aged
multidisciplinary
Neuroimaging
ROC Curve
Science
Science (multidisciplinary)
Spatial analysis
Statistical analysis
Substantia alba
Thalassemia
Tract-based spatial statistics
White matter
White Matter - diagnostic imaging
White Matter - pathology
Young Adult
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Title White matter microstructure abnormalities in thalassemia patients using TBSS analysis based on DTI
URI https://link.springer.com/article/10.1038/s41598-025-99505-8
https://www.ncbi.nlm.nih.gov/pubmed/40410411
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https://www.proquest.com/docview/3207209262
https://pubmed.ncbi.nlm.nih.gov/PMC12102233
https://doaj.org/article/10191e0dacad418abe779ed650ff9e6d
Volume 15
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