Literature DB >> 9659192

Characterisation of coronary atherosclerotic morphology by spectral analysis of radiofrequency signal: in vitro intravascular ultrasound study with histological and radiological validation.

M P Moore1, T Spencer, D M Salter, P P Kearney, T R Shaw, I R Starkey, P J Fitzgerald, R Erbel, A Lange, N W McDicken, G R Sutherland, K A Fox.   

Abstract

OBJECTIVE: To determine whether spectral analysis of unprocessed radiofrequency (RF) signal offers advantages over standard videodensitometric analysis in identifying the morphology of coronary atherosclerotic plaques.
METHODS: 97 regions of interest (ROI) were imaged at 30 MHz from postmortem, pressure perfused (80 mm Hg) coronary arteries in saline baths. RF data were digitised at 250 MHz. Two different sizes of ROI were identified from scan converted images, and relative amplitudes of different frequency components were analysed from raw data. Normalised spectra was used to calculate spectral slope (dB/MHz), y-axis intercept (dB), mean power (dB), and maximum power (dB) over a given bandwidth (17-42 MHz). RF images were constructed and compared with comparative histology derived from microscopy and radiological techniques in three dimensions.
RESULTS: Mean power was similar from dense fibrotic tissue and heavy calcium, but spectral slope was steeper in heavy calcium (-0.45 (0.1)) than in dense fibrotic tissue (-0.31 (0.1)), and maximum power was higher for heavy calcium (-7.7 (2.0)) than for dense fibrotic tissue (-10.2 (3.9)). Maximum power was significantly higher in heavy calcium (-7.7 (2.0) dB) and dense fibrotic tissue (-10.2 (3.9) dB) than in microcalcification (-13.9 (3.8) dB). Y-axis intercept was higher in microcalcification (-5.8 (1.1) dB) than in moderately fibrotic tissue (-11.9 (2.0) dB). Moderate and dense fibrotic tissue were discriminated with mean power: moderate -20.2 (1.1) dB, dense -14.7 (3.7) dB; and y-axis intercept: moderate -11.9 (2.0) dB, dense -5.5 (5.4) dB. Different densities of fibrosis, loose, moderate, and dense, were discriminated with both y-axis intercept, spectral slope, and mean power. Lipid could be differentiated from other types of plaque tissue on the basis of spectral slope, lipid -0.17 (0.08). Also y-axis intercept from lipid (-17.6 (3.9)) differed significantly from moderately fibrotic tissue, dense fibrotic tissue, microcalcification, and heavy calcium. No significant differences in any of the measured parameters were seen between the results obtained from small and large ROIs.
CONCLUSION: Frequency based spectral analysis of unprocessed ultrasound signal may lead to accurate identification of atherosclerotic plaque morphology.

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Year:  1998        PMID: 9659192      PMCID: PMC1728682          DOI: 10.1136/hrt.79.5.459

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  27 in total

1.  Characterisation of atherosclerotic plaque by spectral analysis of intravascular ultrasound: an in vitro methodology.

Authors:  T Spencer; M P Ramo; D M Salter; T Anderson; P P Kearney; G R Sutherland; K A Fox; W N McDicken
Journal:  Ultrasound Med Biol       Date:  1997       Impact factor: 2.998

2.  Quantitative assessment with intracoronary ultrasound of the mechanisms of restenosis after percutaneous transluminal coronary angioplasty and directional coronary atherectomy.

Authors:  C Di Mario; R Gil; E Camenzind; Y Ozaki; C von Birgelen; V Umans; P de Jaegere; P J de Feyter; J R Roelandt; P W Serruys
Journal:  Am J Cardiol       Date:  1995-04-15       Impact factor: 2.778

3.  Ultrasound backscatter at 30 MHz from human blood: influence of rouleau size affected by blood modification and shear rate.

Authors:  M S van der Heiden; M G de Kroon; N Bom; C Borst
Journal:  Ultrasound Med Biol       Date:  1995       Impact factor: 2.998

4.  Characterization of plaque components with intracoronary ultrasound imaging: an in vitro quantitative study with videodensitometry.

Authors:  R J Peters; W E Kok; H Bot; C A Visser
Journal:  J Am Soc Echocardiogr       Date:  1994 Nov-Dec       Impact factor: 5.251

5.  Patterns of calcification in coronary artery disease. A statistical analysis of intravascular ultrasound and coronary angiography in 1155 lesions.

Authors:  G S Mintz; J J Popma; A D Pichard; K M Kent; L F Satler; Y C Chuang; C J Ditrano; M B Leon
Journal:  Circulation       Date:  1995-04-01       Impact factor: 29.690

6.  Intracoronary ultrasound-defined plaque composition: computer-aided plaque characterization and correlation with histologic samples obtained during directional coronary atherectomy.

Authors:  Q Rasheed; P J Dhawale; J Anderson; J M Hodgson
Journal:  Am Heart J       Date:  1995-04       Impact factor: 4.749

7.  Preliminary results from attenuation-slope mapping of plaque using intravascular ultrasound.

Authors:  L S Wilson; M L Neale; H E Talhami; M Appleberg
Journal:  Ultrasound Med Biol       Date:  1994       Impact factor: 2.998

8.  Ultrasonics propagation properties of collagen.

Authors:  S A Goss; F Dunn
Journal:  Phys Med Biol       Date:  1980-09       Impact factor: 3.609

9.  Atherosclerosis in angiographically "normal" coronary artery reference segments: an intravascular ultrasound study with clinical correlations.

Authors:  G S Mintz; J A Painter; A D Pichard; K M Kent; L F Satler; J J Popma; Y C Chuang; T A Bucher; L E Sokolowicz; M B Leon
Journal:  J Am Coll Cardiol       Date:  1995-06       Impact factor: 24.094

10.  Computerized ultrasonic tissue characterization of ocular tumors.

Authors:  D J Coleman; F L Lizzi
Journal:  Am J Ophthalmol       Date:  1983-08       Impact factor: 5.258

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  25 in total

Review 1.  Invasive assessment of the coronary circulation: intravascular ultrasound and Doppler.

Authors:  David E Newby; Keith A A Fox
Journal:  Br J Clin Pharmacol       Date:  2002-06       Impact factor: 4.335

2.  Rationale and methods of the integrated biomarker and imaging study (IBIS): combining invasive and non-invasive imaging with biomarkers to detect subclinical atherosclerosis and assess coronary lesion biology.

Authors:  Carlos A G Van Mieghem; Nico Bruining; Johannes A Schaar; Eugene McFadden; Nico Mollet; Filippo Cademartiri; Frits Mastik; Jurgen M R Ligthart; Gaston A Rodriguez Granillo; Marco Valgimigli; Georgios Sianos; Willem J van der Giessen; Bianca Backx; Marie-Angele M Morel; Gerrit-Anne Van Es; Jonathon D Sawyer; June Kaplow; Andrew Zalewski; Anton F W van der Steen; Pim de Feyter; Patrick W Serruys
Journal:  Int J Cardiovasc Imaging       Date:  2005-08       Impact factor: 2.357

Review 3.  Imaging of atherosclerotic plaque using radiofrequency ultrasound signal processing.

Authors:  Stéphane G Carlier; Gary S Mintz; Gregg W Stone
Journal:  J Nucl Cardiol       Date:  2006-11       Impact factor: 5.952

4.  Improved visualization of high-intensity focused ultrasound lesions.

Authors:  Ronald H Silverman; Robert Muratore; Jeffrey A Ketterling; Jonathan Mamou; D Jackson Coleman; Ernest J Feleppa
Journal:  Ultrasound Med Biol       Date:  2006-11       Impact factor: 2.998

5.  A hypothesis for vulnerable plaque rupture due to stress-induced debonding around cellular microcalcifications in thin fibrous caps.

Authors:  Yuliya Vengrenyuk; Stéphane Carlier; Savvas Xanthos; Luis Cardoso; Peter Ganatos; Renu Virmani; Shmuel Einav; Lane Gilchrist; Sheldon Weinbaum
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-26       Impact factor: 11.205

6.  Coronary plaque classification using intravascular ultrasound -- radiofrequency analysis in a patient with severe coronary vasospasm.

Authors:  Andreas König; Marius Oepke; Markus Leibig; Volker Klauss
Journal:  Clin Res Cardiol       Date:  2007-04-26       Impact factor: 5.460

7.  Coronary arterial atherosclerotic plaque imaging by contrast-enhanced computed tomography: fantasy or reality?

Authors:  Kamran Akram; Sarah Rinehart; Szilard Voros
Journal:  J Nucl Cardiol       Date:  2008-09-21       Impact factor: 5.952

8.  Fusing in-vitro and in-vivo intravascular ultrasound data for plaque characterization.

Authors:  Francesco Ciompi; Oriol Pujol; Carlo Gatta; Oriol Rodríguez-Leor; Josepa Mauri-Ferré; Petia Radeva
Journal:  Int J Cardiovasc Imaging       Date:  2009-11-29       Impact factor: 2.357

9.  Characterization of coronary atherosclerosis by dual-source computed tomography and HU-based color mapping: a pilot study.

Authors:  H Brodoefel; A Reimann; M Heuschmid; I Tsiflikas; A F Kopp; S Schroeder; C D Claussen; M E Clouse; C Burgstahler
Journal:  Eur Radiol       Date:  2008-05-20       Impact factor: 5.315

Review 10.  New X-ray imaging modalities and their integration with intravascular imaging and interventions.

Authors:  H Hetterich; T Redel; G Lauritsch; C Rohkohl; J Rieber
Journal:  Int J Cardiovasc Imaging       Date:  2009-11-08       Impact factor: 2.357

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