Quantitative myocardial infarction on delayed enhancement MRI. Part II: Clinical application of an automated feature analysis and combined thresholding infarct sizing algorithm
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Hsu, LY
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NHLBI, Cardiac Energet Lab, Dept Hlth & Human Serv, NIH, Bethesda, MD 20892 USANHLBI, Cardiac Energet Lab, Dept Hlth & Human Serv, NIH, Bethesda, MD 20892 USA
Hsu, LY
[1
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Ingkanisorn, WP
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NHLBI, Cardiac Energet Lab, Dept Hlth & Human Serv, NIH, Bethesda, MD 20892 USANHLBI, Cardiac Energet Lab, Dept Hlth & Human Serv, NIH, Bethesda, MD 20892 USA
Ingkanisorn, WP
[1
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Kellman, P
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NHLBI, Cardiac Energet Lab, Dept Hlth & Human Serv, NIH, Bethesda, MD 20892 USANHLBI, Cardiac Energet Lab, Dept Hlth & Human Serv, NIH, Bethesda, MD 20892 USA
Kellman, P
[1
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Aletras, AH
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NHLBI, Cardiac Energet Lab, Dept Hlth & Human Serv, NIH, Bethesda, MD 20892 USANHLBI, Cardiac Energet Lab, Dept Hlth & Human Serv, NIH, Bethesda, MD 20892 USA
Aletras, AH
[1
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Arai, AE
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NHLBI, Cardiac Energet Lab, Dept Hlth & Human Serv, NIH, Bethesda, MD 20892 USANHLBI, Cardiac Energet Lab, Dept Hlth & Human Serv, NIH, Bethesda, MD 20892 USA
Arai, AE
[1
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机构:
[1] NHLBI, Cardiac Energet Lab, Dept Hlth & Human Serv, NIH, Bethesda, MD 20892 USA
Purpose: To compare global and regional myocardial infarction (MI) measurements on clinical gadolinium-enhanced magnetic resonance (MR) images using human manual contouring and a computer algorithm previously validated by histopathology, and to study the degree to Which Visual assessment. and human contouring of infarct extent agreed with the computer algorithm. Materials and Methods: Infarct size in 20 patients was measured by human manual contouring and with an automated feature analysis and combined thresholding (FACT) computer algorithm. Short-axis slices were divided into myocardial sectors for regional analysis. Extent of infarction was also graded visually by Consensus of expert. readers and compared to human and computer contouring. Results: Despite good correlations (R = 0.93-0.95) between human contouring and the FACT algorithm, human contouring overestimated infarct size by 3.8% of the left. ventricle (23.8% of the MI) area (P < 0.001). Human contouring also overestimated the circumferential extent, transmural extent, and extent of infarction within a sector by 7.1%, 18.2%, and 27.9%, respectively (all P < 0.001). Both Consensus reading and human contouring overestimated infarct grades compared with the FACT algorithm (P = 0.002 and P < 0.001). Conclusion: Clinically relevant overestimation of MI can occur in visual interpretation and in human manual contouring, particularly with respect to extent of infarction on a regional basis.