A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions.

BACKGROUND: Vascular remodeling, the dynamic dimensional change in face of stress, can assume different directions as well as magnitudes in atherosclerotic disease. Classical measurements rely on reference to segments at a distance, risking inappropriate comparison between dislike vessel portions. OBJECTIVE: to explore a new method for quantifying vessel remodeling, based on the comparison between a given target segment and its inferred normal dimensions. METHODS: Geometric parameters and plaque composition were determined in 67 patients using three-vessel intravascular ultrasound with virtual histology (IVUS-VH). Coronary vessel remodeling at cross-section (n = 27.639) and lesion (n = 618) levels was assessed using classical metrics and a novel analytic algorithm based on the fractional vessel remodeling index (FVRI), which quantifies the total change in arterial wall dimensions related to the estimated normal dimension of the vessel. A prediction model was built to estimate the normal dimension of the vessel for calculation of FVRI. RESULTS: According to the new algorithm, "Ectatic" remodeling pattern was least common, "Complete compensatory" remodeling was present in approximately half of the instances, and "Negative" and "Incomplete compensatory" remodeling types were detected in the remaining. Compared to a traditional diagnostic scheme, FVRI-based classification seemed to better discriminate plaque composition by IVUS-VH. CONCLUSION: Quantitative assessment of coronary remodeling using target segment dimensions offers a promising approach to evaluate the vessel response to plaque growth/regression.

A Novel Algorithm to Quantify Coronary Remodeling Using Inferred Normal Dimensions / Novo Algoritmo para Quantificar o Remodelamento Coronário Utilizando Dimensões Normais Preditas

Background:Vascular remodeling, the dynamic dimensional change in face of stress, can assume different directions as well as magnitudes in atherosclerotic disease. Classical measurements rely on reference to segments at a distance, risking inappropriate comparison between dislike vessel portions.Objective:to explore a new method for quantifying vessel remodeling, based on the comparison between a given target segment and its inferred normal dimensions.Methods:Geometric parameters and plaque composition were determined in 67 patients using three-vessel intravascular ultrasound with virtual histology (IVUS-VH). Coronary vessel remodeling at cross-section (n = 27.639) and lesion (n = 618) levels was assessed using classical metrics and a novel analytic algorithm based on the fractional vessel remodeling index (FVRI), which quantifies the total change in arterial wall dimensions related to the estimated normal dimension of the vessel. A prediction model was built to estimate the normal dimension of the vessel for calculation of FVRI.Results:According to the new algorithm, “Ectatic” remodeling pattern was least common, “Complete compensatory” remodeling was present in approximately half of the instances, and “Negative” and “Incomplete compensatory” remodeling types were detected in the remaining. Compared to a traditional diagnostic scheme, FVRI-based classification seemed to better discriminate plaque composition by IVUS-VH.Conclusion:Quantitative assessment of coronary remodeling using target segment dimensions offers a promising approach to evaluate the vessel response to plaque growth/regression.

Fundamento:O remodelamento vascular, alteração dimensional dinâmica frente ao estresse, pode assumir diferentes direções e magnitudes na doença aterosclerótica. As medidas clássicas baseiam-se em referências a distância do segmento-alvo, com risco de comparação inadequada pela seleção de porções vasculares indesejáveis.Objetivo:Explorar um novo método para quantificar remodelamento vascular, baseado na comparação entre um determinado segmento-alvo e suas dimensões normais inferidas.Métodos:Parâmetros geométricos e a composição da placa foram determinados em 67 pacientes usando-se ultrassom intravascular de três vasos com histologia virtual (IVUS-VH). Avaliou-se o remodelamento coronário ao nível da seção transversal (n = 27.639) e da lesão (n = 618) usando-se métrica clássica e um novo algoritmo analítico baseado no índice de remodelamento vascular fracionado (FVRI) que quantifica a alteração total nas dimensões da parede arterial em relação a dimensão normal estimada do vaso. Construiu-se um modelo preditivo para estimar a dimensão normal do vaso para calcular o FVRI.Resultados:De acordo com o novo algoritmo, o padrão de remodelamento “ectásico” foi o menos comum, o remodelamento “completo compensatório” foi observado em metade dos casos, e os tipos “negativo” e “incompleto compensatório” foram detectados nos restantes. Comparada ao esquema tradicional diagnóstico, a classificação baseada no FVRI pareceu melhor discriminar a composição da placa através de IVUS-VH.Conclusão:A análise quantitativa do remodelamento coronário utilizando dimensões do segmento-alvo oferece uma abordagem promissora para avaliar a resposta vascular ao crescimento e à regressão da placa.

Intravascular ultrasound guidance to minimize the use of iodine contrast in percutaneous coronary intervention: the MOZART (Minimizing cOntrast utiliZation With IVUS Guidance in coRonary angioplasTy) randomized controlled trial.

OBJECTIVES: The aim of this study was to evaluate the impact of intravascular ultrasound (IVUS) guidance on the final volume of contrast agent used in patients undergoing percutaneous coronary intervention (PCI). BACKGROUND: To date, few approaches have been described to reduce the final dose of contrast agent in PCIs. We hypothesized that IVUS might serve as an alternative imaging tool to angiography in many steps during PCI, thereby reducing the use of iodine contrast. METHODS: A total of 83 patients were randomized to angiography-guided PCI or IVUS-guided PCI; both groups were treated according to a pre-defined meticulous procedural strategy. The primary endpoint was the total volume contrast agent used during PCI. Patients were followed clinically for an average of 4 months. RESULTS: The median total volume of contrast was 64.5 ml (interquartile range [IQR]: 42.8 to 97.0 ml; minimum, 19 ml; maximum, 170 ml) in the angiography-guided group versus 20.0 ml (IQR: 12.5 to 30.0 ml; minimum, 3 ml; maximum, 54 ml) in the IVUS-guided group (p < 0.001). Similarly, the median volume of contrast/creatinine clearance ratio was significantly lower among patients treated with IVUS-guided PCI (1.0 [IQR: 0.6 to 1.9] vs. 0.4 [IQR: 0.2 to 0.6, respectively; p < 0.001). In-hospital and 4-month outcomes were not different between patients randomized to angiography-guided and IVUS-guided PCI. CONCLUSIONS: Thoughtful and extensive use of IVUS as the primary imaging tool to guide PCI is safe and markedly reduces the volume of iodine contrast compared with angiography-alone guidance. The use of IVUS should be considered for patients at high risk of contrast-induced acute kidney injury or volume overload undergoing coronary angioplasty. (Minimizing cOntrast utiliZation With IVUS Guidance in coRonary angioplasTy [MOZART]; NCT01947335).