The coronary arterial anatomy of the 17-segment model using 3-Tesla cardiac magnetic resonance imaging

Talaat, Mohamed; Kharabish, Ahmed; Homos, Mohamed D.; Fouad, Mohamed; Nabil, Doaa Mohamed

doi:10.1016/j.ejrnm.2016.06.021

Cited by 4 publications

(5 citation statements)

References 23 publications

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“…Fig 4 shows a manual segmentation approach, first introduced by a 17-segments model developed by American Heart Association (AHA) [18]. American Heart Association (AHA) presented an anatomical structure and recommended a division into 17-segments of the right atrium,pulmonary atrium, RV, left atrium, LV, coronary arteries, aorta, and cardiac veins.…”

Section: A Manual Segmentation Approachmentioning

confidence: 99%

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Segmentation Model Approaches using Cardiac Magnetic Resonance Images: A Review

Khan¹

2022

Preprint

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Section: A Manual Segmentation Approachmentioning

confidence: 99%

“…The authors acknowledge and say thank for permission to use Fig. 3 (Acknowledge [14], PJS Cardiac Dataset), Fig 4 (Ac-knowledge [18]) and Fig 5 (Acknowledge [49], PJS Cardiac Dataset).…”

Section: Acknowledgementmentioning

confidence: 99%

Segmentation Model Approaches using Cardiac Magnetic Resonance Images: A Review

Khan¹

2022

Preprint

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Section: A Manual Segmentation Approachmentioning

confidence: 99%

“…The authors acknowledge and say thank for permission to use Fig. 3 (Acknowledge [14], PJS Cardiac Dataset), Fig 4 (Ac-knowledge [18]) and Fig 5 (Acknowledge [49], PJS Cardiac Dataset).…”

Section: Acknowledgementmentioning

confidence: 99%

Segmentation Model Approaches using Cardiac Magnetic Resonance Images: A Review

Khan¹

2022

Preprint

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“…The previously described limitations of the 17-segment model have focused overestimation of infarct size because most MIs do not truly conform to a proposed segmental distribution as defined by the 17-segment model [6,9,10,11,12]. Standard quantification of LV infarct sizing can be performed by image post-processing that involves contouring both the infarct and left ventricular margins; however, this method is often too tedious and time-consuming to be done routinely in clinical practice [6,10,11,12].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method using Long Axis Cardiac MRI Measurements can Improve in vivo Myocardial Infarct Quantification

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Daugherty

Chinyere

et al. 2021

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PurposeCurrently, the American Heart Association (AHA) 17-segment model is the preferred clinical method to define and quantify left ventricle (LV) myocardial infarction (MI) size. This method is subjective and can be inaccurate given that segmental approximation assumes a specific percent of infarcted tissue when compared to reference standard post-mortem histopathology. To improve the accuracy and reproducibility of infarct volume quantification we propose a novel measurement technique based on cardiac MRI images from a porcine model of myocardial infarction. Data were collected from serial MRI exams of Yucatan mini swine over 6 months and endpoint organ harvesting for histopathologic analysis. MethodsTwo observers evaluated four infarct sizing methods: myocardial contouring of post-mortem heart slices, contouring using cardiac MRI, AHA 17-segment model analysis and novel long-axis MRI infarct sizing. ResultsLV infarct sizes ranges were 1.6% - 25.8% (n=10) using reference standard histopathologic infarct sizing. Intraclass correlations (ICC) were calculated between two observers and averaged due to high similarity, ICC > .900. A t-test of .0006 and Bland-Altman plots show statistically significant differences in 17-segment model infarct size compared to histopathologic analysis while no significant difference was found when compared to our new novel method with 0.8198. Linear correlation showed an R 2 of 0.9111 between MRI contoured infarct size and our novel MRI infarct sizing model to predict infarct size as a percentage while the R 2 of the 17-Seg model is 0.8197. ConclusionsThe 17-sgement model provides an inferior quantitative assessment of LV infarct size compared to the proposed long-axis infarct sizing suggesting it maybe a robust and easily implementable quantitative assessment of LV infarct size in advanced imaging.

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The coronary arterial anatomy of the 17-segment model using 3-Tesla cardiac magnetic resonance imaging

Cited by 4 publications

References 23 publications

Segmentation Model Approaches using Cardiac Magnetic Resonance Images: A Review

Segmentation Model Approaches using Cardiac Magnetic Resonance Images: A Review

Segmentation Model Approaches using Cardiac Magnetic Resonance Images: A Review

A Novel Method using Long Axis Cardiac MRI Measurements can Improve in vivo Myocardial Infarct Quantification

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