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 in | Scientific reports Vol. 15; no. 1; pp. 17929 - 10 |
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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. |
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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 |
Author_xml | – sequence: 1 givenname: Mingrui surname: Yang fullname: Yang, Mingrui organization: Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Binzhou Medical University Hospital – sequence: 2 givenname: Guowei surname: Chen fullname: Chen, Guowei organization: Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University – sequence: 3 givenname: Chaotian surname: Luo fullname: Luo, Chaotian organization: Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University – sequence: 4 givenname: Cheng surname: Tang fullname: Tang, Cheng organization: Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, NHC Key Laboratory of Thalassemia Medicine, Guangxi Medical University – sequence: 5 givenname: Fei surname: Peng fullname: Peng, Fei organization: Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University – sequence: 6 givenname: Rong surname: Kong fullname: Kong, Rong organization: Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University – sequence: 7 givenname: Peng surname: Peng fullname: Peng, Peng email: doublep@126.com organization: Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University |
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Keywords | Microstructural abnormalities Iron overload Thalassemia Tract-based spatial statistics White matter Diffusion tensor imaging |
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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 |
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