TY - JOUR
T1 - Multidetector row computed tomography can identify and characterize the occlusive culprit lesions in patients early (within 24 hours) after acute myocardial infarction
AU - Huang, Wei Chun
AU - Chiou, Kuan Rau
AU - Liu, Chun Peng
AU - Lin, Shih Kai
AU - Huang, Yi Luan
AU - Mar, Guang Yuan
AU - Lin, Shoa Lin
AU - Wu, Ming Ting
PY - 2007/11/1
Y1 - 2007/11/1
N2 - Background: The reliable noninvasive assessment of occluded disrupted plaques and thromboses in culprit vessels could constitute an important step forward in risk stratification of patients early after acute myocardial infarction (AMI). However, noninvasive identification of patency of culprit vessels remains a challenging issue. This prospective study was designed to identify the occluded culprit vessels by multidetector row computed tomography (MDCT) and to compare the stenotic and occlusive culprit lesions by MDCT in patients early (within 24 hours) after AMI. Methods: We enrolled 62 patients with first Q-wave AMI (54 males). Multidetector row computed tomography was performed 16.5 ± 7.1 hours after the onset of chest pain without any complication. Coronary angiography was done within 6 hours after MDCT. Patients were divided into 2 groups according to angiographic findings: stenotic group (35 patients) and occluded group (27 patients). The following MDCT data were collected: luminal artery stenosis, remodeling index, plaque burden, and lesion attenuation. Results: Compared to coronary angiography, MDCT detected occluded culprit vessels with sensitivity, specificity, negative predict value, and positive predict value of 92.6%, 88.6%, 93.9%, and 86.2%, respectively. Compared with the stenotic group, culprit lesions in the occlusive group had significantly longer length (18.9 ± 9.7 vs 11.9 ± 6.2 mm; P = .024) and higher MDCT lesion attenuation (38.8 ± 15.6 vs 29.2 ± 12.9 Hounsfield unit; P = .008). Multidetector row computed tomography attenuation was negatively correlated with thrombolysis in myocardial infarction flow (Spearman ρ = -0.46; P < .001). Conclusions: Multidetector row computed tomography could accurately and safely identify occluded culprit lesions in patients early after AMI, providing important information to aid in risk stratification.
AB - Background: The reliable noninvasive assessment of occluded disrupted plaques and thromboses in culprit vessels could constitute an important step forward in risk stratification of patients early after acute myocardial infarction (AMI). However, noninvasive identification of patency of culprit vessels remains a challenging issue. This prospective study was designed to identify the occluded culprit vessels by multidetector row computed tomography (MDCT) and to compare the stenotic and occlusive culprit lesions by MDCT in patients early (within 24 hours) after AMI. Methods: We enrolled 62 patients with first Q-wave AMI (54 males). Multidetector row computed tomography was performed 16.5 ± 7.1 hours after the onset of chest pain without any complication. Coronary angiography was done within 6 hours after MDCT. Patients were divided into 2 groups according to angiographic findings: stenotic group (35 patients) and occluded group (27 patients). The following MDCT data were collected: luminal artery stenosis, remodeling index, plaque burden, and lesion attenuation. Results: Compared to coronary angiography, MDCT detected occluded culprit vessels with sensitivity, specificity, negative predict value, and positive predict value of 92.6%, 88.6%, 93.9%, and 86.2%, respectively. Compared with the stenotic group, culprit lesions in the occlusive group had significantly longer length (18.9 ± 9.7 vs 11.9 ± 6.2 mm; P = .024) and higher MDCT lesion attenuation (38.8 ± 15.6 vs 29.2 ± 12.9 Hounsfield unit; P = .008). Multidetector row computed tomography attenuation was negatively correlated with thrombolysis in myocardial infarction flow (Spearman ρ = -0.46; P < .001). Conclusions: Multidetector row computed tomography could accurately and safely identify occluded culprit lesions in patients early after AMI, providing important information to aid in risk stratification.
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U2 - 10.1016/j.ahj.2007.07.002
DO - 10.1016/j.ahj.2007.07.002
M3 - Article
C2 - 17967598
AN - SCOPUS:35448974979
SN - 0002-8703
VL - 154
SP - 914
EP - 922
JO - American Heart Journal
JF - American Heart Journal
IS - 5
ER -