BACKGROUND: Conventional gray-scale images of intravascular ultrasound (IVUS) cannot accurately differentiate histologic subtypes of sonolucent coronary plaques with or without a lipid core. METHODS: We analyzed radiofrequency signals obtained in vitro from 24 regions of interest (ROI) of noncalcified (sonolucent) plaques in 10 atherosclerotic coronary artery specimens pressure-fixed by formalin. Radiofrequency signals were sampled with a 30-MHz IVUS catheter and digitized at 500 MHz in 8-bit resolution. The ROIs were histologically categorized into 12 plaques with a lipid core and 12 plaques without it. Integrated backscatter and statistical parameters of the radiofrequency envelope (mean/SD ratio [MSR], skewness, and kurtosis) within the ROI were calculated offline, and their ability to detect a lipid core was compared with visual analysis of the IVUS video images. In the group with lipid cores, percent area of a lipid core in each ROI was measured in a digitized histologic image by a computerized planimeter. RESULTS: Sensitivity and specificity of MSR, skewness, and kurtosis for lipid core detection were substantially greater than visual video image analysis (83.3% and 91.7%, 100% and 91.7%, 100% and 91.7% vs 53.3% and 71.7%). Furthermore, the parameters of integrated backscatter, MSR, skewness, and kurtosis were significantly correlated to percent of core area (r = -0.64, -0.73, 0.78, and 0.63, respectively; P<.05). CONCLUSIONS: Compared with IVUS video images, the parameters of radiofrequency signal analysis may be used to aid in more accurate detection and quantitative evaluation of a lipid core, which is one of the major factors of a vulnerable coronary plaque.
BACKGROUND: Conventional gray-scale images of intravascular ultrasound (IVUS) cannot accurately differentiate histologic subtypes of sonolucent coronary plaques with or without a lipid core. METHODS: We analyzed radiofrequency signals obtained in vitro from 24 regions of interest (ROI) of noncalcified (sonolucent) plaques in 10 atherosclerotic coronary artery specimens pressure-fixed by formalin. Radiofrequency signals were sampled with a 30-MHz IVUS catheter and digitized at 500 MHz in 8-bit resolution. The ROIs were histologically categorized into 12 plaques with a lipid core and 12 plaques without it. Integrated backscatter and statistical parameters of the radiofrequency envelope (mean/SD ratio [MSR], skewness, and kurtosis) within the ROI were calculated offline, and their ability to detect a lipid core was compared with visual analysis of the IVUS video images. In the group with lipid cores, percent area of a lipid core in each ROI was measured in a digitized histologic image by a computerized planimeter. RESULTS: Sensitivity and specificity of MSR, skewness, and kurtosis for lipid core detection were substantially greater than visual video image analysis (83.3% and 91.7%, 100% and 91.7%, 100% and 91.7% vs 53.3% and 71.7%). Furthermore, the parameters of integrated backscatter, MSR, skewness, and kurtosis were significantly correlated to percent of core area (r = -0.64, -0.73, 0.78, and 0.63, respectively; P<.05). CONCLUSIONS: Compared with IVUS video images, the parameters of radiofrequency signal analysis may be used to aid in more accurate detection and quantitative evaluation of a lipid core, which is one of the major factors of a vulnerable coronary plaque.
Authors: Yang Sun; Abhijit J Chaudhari; Matthew Lam; Hongtao Xie; Diego R Yankelevich; Jennifer Phipps; Jing Liu; Michael C Fishbein; Jonathan M Cannata; K Kirk Shung; Laura Marcu Journal: Biomed Opt Express Date: 2011-07-19 Impact factor: 3.732
Authors: Yang Sun; Jesung Park; Douglas N Stephens; Javier A Jo; Lei Sun; Jonathan M Cannata; Ramez M G Saroufeem; K Kirk Shung; Laura Marcu Journal: Rev Sci Instrum Date: 2009-06 Impact factor: 1.523
Authors: Yang Sun; Douglas N Stephens; Jesung Park; Yinghua Sun; Laura Marcu; Jonathan M Cannata; K Kirk Shung Journal: Proc IEEE Ultrason Symp Date: 2008
Authors: T P M Goderie; G van Soest; H M Garcia-Garcia; N Gonzalo; S Koljenović; G J L H van Leenders; F Mastik; E Regar; J W Oosterhuis; P W Serruys; A F W van der Steen Journal: Int J Cardiovasc Imaging Date: 2010-04-16 Impact factor: 2.357
Authors: Andor W J M Glaudemans; Riemer H J A Slart; Alessandro Bozzao; Elena Bonanno; Marcello Arca; Rudi A J O Dierckx; Alberto Signore Journal: Eur J Nucl Med Mol Imaging Date: 2010-03-20 Impact factor: 9.236
Authors: Ahmed M Mahmoud; Cesar Sandoval; Bunyen Teng; Jurgen B Schnermann; Karen H Martin; S Jamal Mustafa; Osama M Mukdadi Journal: Ultrasonics Date: 2012-11-16 Impact factor: 2.890