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Iron Overload

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Evaluation of the Association of Transferrin Receptor Type 2 Gene Mutation (Y250X) with Iron Overload in Major β- Thalassemia.

Archives of Razi Institute 35355750
Thalassemia is an inherited blood disorder in which the body produces defective hemoglobin. One of the important processes to reduce the complication of major β-thalassemia is blood transfusion that leads to elevated ferritin levels in the blood. Man...
beta-Thalassemia Humans Iron Overload Mutation Receptors, Transferrin Thalassemia
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Automated Whole-Liver MRI Segmentation to Assess Steatosis and Iron Quantification in Chronic Liver Disease.

Radiology 34783592
Background Standardized manual region of interest (ROI) sampling strategies for hepatic MRI steatosis and iron quantification are time consuming, with variable results. Purpose To evaluate the performance of automatic MRI whole-liver segmentation (WL...
Biopsy Chronic Disease Cross-Sectional Studies Deep Learning Female Humans Iron Overload Magnetic Resonance Imaging Male Middle Aged Non-alcoholic Fatty Liver Disease Prospective Studies
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Deep Learning Staging of Liver Iron Content From Multiecho MR Images.

Journal of magnetic resonance imaging : JMRI 35713339
BACKGROUND: MRI represents the most established liver iron content (LIC) evaluation approach by estimation of liver T2* value, but it is dependent on the choice of the measurement region and the software used for image analysis.
Deep Learning Humans Iron Iron Overload Liver Magnetic Resonance Imaging Retrospective Studies
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MRI Deep Learning-Based Automatic Segmentation of Interventricular Septum for Black-Blood Myocardial T2* Measurement in Thalassemia.

Journal of magnetic resonance imaging : JMRI 37941460
BACKGROUND: The T2* value of interventricular septum is routinely reported for grading myocardial iron load in thalassemia major, and automatic segmentation of septum could shorten analysis time and reduce interobserver variability.
Adolescent Adult beta-Thalassemia Deep Learning Female Humans Image Processing, Computer-Assisted Iron Overload Magnetic Resonance Imaging Male Middle Aged Myocardium Observer Variation Reproducibility of Results Retrospective Studies Thalassemia Ventricular Septum Young Adult
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Convolutional neural networks for automatic MR classification of myocardial iron overload in thalassemia major patients.

European radiology 39658686
OBJECTIVES: To develop a deep-learning model for supervised classification of myocardial iron overload (MIO) from magnitude T2* multi-echo MR images.
Adolescent Adult beta-Thalassemia Child Convolutional Neural Networks Deep Learning Female Humans Image Interpretation, Computer-Assisted Iron Overload Magnetic Resonance Imaging Male Neural Networks, Computer Retrospective Studies Sensitivity and Specificity Young Adult
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