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May 16, 2013
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AI identifies women at higher risk of MACE
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Representative examples of visual TAC categories, assessed on chest CT in asymptomatic individuals undergoing general health screening (blue indicates segmented TAC at level of aortic arch). Axial (A) and sagittal volume-rendered (B) images in 42-year-old patient. AI-based quantification yielded TAC volume of 101 mm3 and TAC Agatston score of 105. Examination was assessed as showing visually mild TAC. Axial (C) and sagittal volume-rendered (D) images in 57-year-old patient. AI-based quantification yielded TAC volume of 834 mm3 and TAC Agatston score of 993. Examination was assessed as showing visually moderate TAC. Axial (E) and sagittal volume-rendered (F) images in 65-year-old patient. AI-based quantification yielded TAC volume of 4872 mm3 and TAC Agatston score of 5848. Examination was assessed as showing visually severe TAC. Images and caption courtesy of the AJR.
Thoracic aortic calcification data could help predict CAC risk
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AI identifies women at higher risk of MACE
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Representative examples of visual TAC categories, assessed on chest CT in asymptomatic individuals undergoing general health screening (blue indicates segmented TAC at level of aortic arch). Axial (A) and sagittal volume-rendered (B) images in 42-year-old patient. AI-based quantification yielded TAC volume of 101 mm3 and TAC Agatston score of 105. Examination was assessed as showing visually mild TAC. Axial (C) and sagittal volume-rendered (D) images in 57-year-old patient. AI-based quantification yielded TAC volume of 834 mm3 and TAC Agatston score of 993. Examination was assessed as showing visually moderate TAC. Axial (E) and sagittal volume-rendered (F) images in 65-year-old patient. AI-based quantification yielded TAC volume of 4872 mm3 and TAC Agatston score of 5848. Examination was assessed as showing visually severe TAC. Images and caption courtesy of the AJR.
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