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. 2011 Feb 17;27(2):215–224. doi: 10.1007/s10554-010-9789-7

Table 1.

Validation studies of IVUS and IVUS based imaging modalities

Author Study settings Year Primary objective Results
Greyscale IVUS
Palmer [24] In vitro 1999 IVUS for coronary atheromatous lesions compared to histology. Atheromatous plaque was classified as echodense, echolucent, heterogeneous or calcified by each observer and by one observer on separate occasions Overall inter- and intra-observer reproducibility for plaque-type (Kappa 0.87[0.80–0.94] and 0.89[0. 85–0.93 respectively]) and focal calcification (0.78[0.74–0.82] and 0.88[0.84–0.92]) was high
Agreement for overall plaque type between intravascular ultrasound and histology occurred in 89% of sites (Kappa 0.73[0.69–0. 77]). Specificity ≥90%
Prati [25] In vitro 2001 IVUS, high frequency transducer(40 MHz) for plaque composition compared to histomorphology Lipid pools were observed by histology in 30 sections (25%). IVUS revealed the presence of lipid pools in 19 of these sections (16%; sensitivity 65%]. Specificity ≥95%
Lipid/necrotic areas were defined by IVUS as large echolucent intraplaque areas surrounded by tissue with higher echodensity
VH IVUS
Nair [15] Ex vivo 2002 Coronary plaque classification with intravascular ultrasound radiofrequency data analysis Autoregressive classification schemes performed better than those from classic Fourier spectra with accuracies of 90.4% for fibrous, 92.8% for fibrolipidic, 90.9% for calcified, and 89.5% for calcified-necrotic regions in the training data set and 79.7, 81.2, 92.8, and 85.5% in the test data, respectively
Nasu [26] In vivo 2006 Accuracy of in vivo coronary plaque morphology assessment: a validation study of in vivo virtual histology compared with in vitro histopathology Predictive accuracy from all patients data: 87.1% for fibrous, 87.1% for fibro-fatty, 88.3% for necrotic core, and 96.5% for dense calcium regions, respectively
Sensitivities: NC:67.3%, FT:86%, FF:79.3%, DC:50%. Specificities: NC:92.9%, FT:90.5%,FF:100%, DC:99%
Nair [16] Ex vivo 2007 Automated coronary plaque characterisation with intravascular ultrasound backscatter: ex vivo validation The overall predictive accuracies were 93.5% for FT, 94.1% for FF, 95.8% for NC, and 96.7% for DC
Sensitivities: NC:91.7%, FT:95.7%, FF:72.3%, DC:86.5%. Specificities: NC:96.6%, FT:90.9%, FF:97.9%, DC:98.9%
Granada [27] Ex vivo 2007 In vivo plaque characterization using intravascular ultrasound-virtual histology in a porcine model of complex coronary lesions Compared with histology, IVUS-VH correctly identified the presence of fibrous, fibro-fatty, and necrotic tissue in 58.33, 38.33, and 38.33% of lesions, respectively
Sensitivities: fibrous 76.1%, fibro-fatty 46%, and necrotic core 41.1%
Van Herk [28] Ex vivo 2009 Validation of in vivo plaque characterisation by virtual histology in a rabbit model of atherosclerosis VH-IVUS had a high sensitivity, specificity and positive predictive value for the detection of non-calcified thin cap fibroatheroma (88, 96, 87%, respectively) and calcified thin cap fibroatheroma (95, 99, 93%, respectively). These values were respectively 82, 94, 85% for non-calcified fibroatheroma and 78, 98, 84% for calcified fibroatheroma. The lowest values were obtained for pathological intimal thickening (74, 92, 70%, respectively). For all plaque types, VH-IVUS had a kappa-value of 0.79
Thim [29] Ex vivo 2010 Unreliable assessment of necrotic core by VHTM IVUS in porcine coronary artery disease No correlations were found between the size of the necrotic core determined by VH IVUS and histology. VH IVUS displayed necrotic cores in lesions lacking cores by histology
IB IVUS
Kawasaki [22] In vivo 2002 In vivo quantitative tissue characterization of human coronary arterial plaques by use of integrated backscatter intravascular ultrasound and comparison with angioscopic findings r:0,954 for each category, DC, FF, FT, NC
Kawasaki [23] In vivo 2006 Diagnostic accuracy of optical coherence tomography and integrated backscatter intravascular ultrasound images for tissue characterization of human coronary plaques Sensitivities: DC:100% FT:94% Lipid pool:84%
Specificities: DC:99% FT:84% Lipid pool:97%
Okubo [18] Ex vivo 2008 Development of integrated backscatter intravascular ultrasound for tissue characterization of coronary plaques IB classified fibrous, lipid-rich and fibrocalcific plaque components with a high accuracy of 93, 90 and 96%, respectively
iMAP
Sathyanarayana [17] In vivo 2009 Characterisation of atherosclerotic plaque by spectral similarity of radiofrequency intravascular ultrasound signals Ex vivo validation demonstrated accuracies at the highest level of confidence as: 97, 98, 95, and 98% for necrotic, lipidic, fibrotic and calcified regions respectively
Echogenicity
Bruining [19] Ex vivo 2007 Three-dimensional and quantitative analysis of atherosclerotic plaque composition by automated differential echogenicity Areas of hypoechogenicity correlated with the presence of smooth muscle cells. Areas of hyperechogenicity correlated with presence of collagen, and areas of hyperechogenicity with acoustic shadowing correlated with calcium