2017
DOI: 10.4236/ojrad.2017.71002
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Myocardial Segmentation of Area at Risk Based on Coronary Computed Tomography Angiography and Voronoi Diagram in Comparison with Magnetic Resonance Perfusion Imaging

Abstract: Purpose: To assess the clinical feasibility of automated segmentation of the myocardial area at risk (MAAR) using coronary computed tomography angiography (CT-MAAR), as compared to stress magnetic resonance myocardial perfusion imaging (MR-MPI). Materials and Methods: Thirty patients who underwent coronary computed tomography angiography (CTA) and stress MR-MPI were retrospectively evaluated. The myocardial territory of the left ventricle (LV) distal to coronary artery stenosis (≥50% or ≥70% stenosis on corona… Show more

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Cited by 4 publications
(4 citation statements)
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“…Interestingly, in our study lesions with a diameter stenosis of 70% or more demonstrated a better correlation between the myocardial area at risk and ischemic burden compared to lesions with a diameter stenosis of 50% (r = 0.708 and r = 0.564 respectively). A similar observation was found by Fukuyama et al [25] . This difference in correlation may be attributed to the fact that lesions with a greater diameter stenosis may cause more (reversible) ischemia and hereby enlarge the ischemic burden.…”
Section: Discussionsupporting
confidence: 90%
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“…Interestingly, in our study lesions with a diameter stenosis of 70% or more demonstrated a better correlation between the myocardial area at risk and ischemic burden compared to lesions with a diameter stenosis of 50% (r = 0.708 and r = 0.564 respectively). A similar observation was found by Fukuyama et al [25] . This difference in correlation may be attributed to the fact that lesions with a greater diameter stenosis may cause more (reversible) ischemia and hereby enlarge the ischemic burden.…”
Section: Discussionsupporting
confidence: 90%
“…Also, Fukuyama et al performed a similar study by assessing the relationship between calculated subtended mass at CCTA using a Voronoi-based segmentation algorithm and ischemic burden as assessed by magnetic resonance imaging (MRI). A slightly better correlation was found when correlating subtended mass to ischemic burden (r = 0.73; p < 0.001) [25] . This difference in correlation may be partially explained by the fact that cardiac MRI perfusion is still superior to cardiac CTP in the detection of (reversible) ischemia [26] .…”
Section: Discussionmentioning
confidence: 86%
“…The Voronoi-based algorithm for calculating subtended mass used on CCTA seems reliable in predicting ischemia on SPECT as is demonstrated in a study by Kurata et al in which there was a moderate correlation between the summed stress score of SPECT and CCTA based subtended mass as calculated with a Voronoi-based algorithm (r = 0.531 p = 0.001) [10]. The same has been done for MRI perfusion by Fukuyama et al which showed an even better correlation between Voronoi-based calculation of subtended mass and areas of relative hypoperfusion (r = 0.73 p < 0.001) [11]. Although we were able to apply a Voronoi-based segmentation algorithm on all cases and quantify subtended myocardial mass (per lesion) and perfusion defect mass (per lesion), results from Table 2 show that there was not always agreement between the sum of the myocardial perfusion defect mass per lesion and the total measured myocardial perfusion defect mass.…”
Section: Discussionmentioning
confidence: 86%
“…Journal of Nippon Medical School J-STAGE Advance Publication (February 21, 2023) Estimation of CMD using ammonia PET 20 the myocardial segmentation 17,18. Third, the graph in Fig 3Bdemonstrates theEst.MVRstenotic estimating equation as a linear function; however, theoretically, the relationship between resistance and flow should be inversely proportional.…”
mentioning
confidence: 98%