OBJECTIVE: To compare the plaque composition between stable and unstable plaques, characterize unstable plaque by using iMap-intravascular ultrasound (IVUS), and quantify the diagnostic criteria for unstable plaque. METHODS: Thirty-three acute coronary syndrome (ACS) patients who had undergone coronary angiography and IVUS from February 19, 2014 to December 19, 2014 at Peking University People's Hospital were enrolled in the study. Baseline data were collected. The patients were divided into two groups according to their gray-scale IVUS imaging, stable plaque and unstable plaque. A difference-in-difference evaluation was performed using the baseline data and off-line iMap imaging results between the two groups. A receiver operating characteristic (ROC) curve was constructed to obtain the optimal cut-off value to diagnose unstable plaque. RESULTS: Percentages of fibrotic and necrotic tissues, absolute values of lipidic, necrotic, and calcified tissues, and plaque burden were independent predictors for unstable plaque. Absolute necrotic area was the best predictor and exhibited the highest diagnostic value for plaque vulnerability (area under the curve (AUC)=0.806, P=0.000, 95% CI (0.718, 0.894)). The cut-off score for predicting unstable plaque was 4.0 mm(2). CONCLUSIONS: This study attempted to propose a cut-off value based on absolute necrotic area using iMap-IVUS to predict plaque vulnerability in patients with ACS. This score might provide a valuable reference for diagnosing unstable plaque.
OBJECTIVE: To compare the plaque composition between stable and unstable plaques, characterize unstable plaque by using iMap-intravascular ultrasound (IVUS), and quantify the diagnostic criteria for unstable plaque. METHODS: Thirty-three acute coronary syndrome (ACS) patients who had undergone coronary angiography and IVUS from February 19, 2014 to December 19, 2014 at Peking University People's Hospital were enrolled in the study. Baseline data were collected. The patients were divided into two groups according to their gray-scale IVUS imaging, stable plaque and unstable plaque. A difference-in-difference evaluation was performed using the baseline data and off-line iMap imaging results between the two groups. A receiver operating characteristic (ROC) curve was constructed to obtain the optimal cut-off value to diagnose unstable plaque. RESULTS: Percentages of fibrotic and necrotic tissues, absolute values of lipidic, necrotic, and calcified tissues, and plaque burden were independent predictors for unstable plaque. Absolute necrotic area was the best predictor and exhibited the highest diagnostic value for plaque vulnerability (area under the curve (AUC)=0.806, P=0.000, 95% CI (0.718, 0.894)). The cut-off score for predicting unstable plaque was 4.0 mm(2). CONCLUSIONS: This study attempted to propose a cut-off value based on absolute necrotic area using iMap-IVUS to predict plaque vulnerability in patients with ACS. This score might provide a valuable reference for diagnosing unstable plaque.
Authors: Eun-Seok Shin; Hector M Garcia-Garcia; Jurgen M R Ligthart; Karen Witberg; Carl Schultz; Antonius F W van der Steen; Patrick W Serruys Journal: EuroIntervention Date: 2011-03 Impact factor: 6.534
Authors: B N Potkin; A L Bartorelli; J M Gessert; R F Neville; Y Almagor; W C Roberts; M B Leon Journal: Circulation Date: 1990-05 Impact factor: 29.690
Authors: Gregg W Stone; Akiko Maehara; Alexandra J Lansky; Bernard de Bruyne; Ecaterina Cristea; Gary S Mintz; Roxana Mehran; John McPherson; Naim Farhat; Steven P Marso; Helen Parise; Barry Templin; Roseann White; Zhen Zhang; Patrick W Serruys Journal: N Engl J Med Date: 2011-01-20 Impact factor: 91.245
Authors: K P Raghavendra; J Das; R Kumar; S P Gawande; H B Santosh; J A Sheeba; S Kranthi; K R Kranthi; V N Waghmare Journal: Sci Rep Date: 2021-04-28 Impact factor: 4.379