| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
(Circulation. 2002;105:2487.)
© 2002 American Heart Association, Inc.
Clinical Investigation and Reports |
From the Second Department of Internal Medicine, Gifu University School of Medicine (M.K., H.T., T.N., K.S., Y.I., K.H., K.T., M.A., K.N., G.T., S.M., H.F.), Gifu, and the Department of Food Science, Kyoto Womens University (T.F.), Kyoto, Japan.
Correspondence to Hisayoshi Fujiwara, MD, Second Department of Internal Medicine, Gifu University School of Medicine, 40 Tsukasa-machi, Gifu, 500-8705, Japan. E-mail gifuim-gif{at}umin.ac.jp
| Abstract |
|---|
|
|
|---|
Methods and Results IB-IVUS was performed in coronary arteries (total 18 segments) of 9 patients at autopsy, and the findings were compared with the histology. RF signals, which were digitized at 2 GHz in 8-bit resolution, were obtained with an IVUS system with a 40-MHz catheter. IB values of the RF signal from the region of interest (ROI) (100-µm depth, 1.4° per line) were calculated by use of a personal computer. IB values on the ROIs were divided into 5 categories, compared with each of the plaque histologies: category 1 (thrombus), -88 < IB
-80; category 2 (intimal hyperplasia or lipid core), -73 < IB
-63; category 3 (fibrous tissue), -63 < IB
-55; category 4 (mixed lesions), -55 < IB
-30; and category 5 (calcification), -30 < IB
-23. On the basis of these categories, we analyzed 5120 ROIs per segment in each ring-like arterial specimen. Color-coded maps of plaques were constructed by use of these IB data and conventional IVUS data, which reflected the plaque histology of autopsied coronary arteries well. Then, the same method was undertaken in 24 segments with plaque from 12 patients in vivo with angina pectoris. Comparisons between coronary angioscopy and IB-IVUS revealed that the surface color of plaques in angioscopy reflected the thickness of the fibrous cap rather than the size of the lipid core.
Conclusions IB-IVUS represents a new and useful tool for evaluating the tissue structure of human coronary arterial plaques.
Key Words: ultrasonics plaque tissue
| Introduction |
|---|
|
|
|---|
At present, there are several approaches to clinically detect tissue characterization of plaques. Conventional echo technique, especially intravascular ultrasound imaging (IVUS), is widely used to determine calcification and the 3 layers of the arterial wall. Differentiation of lipid core from fibrous tissue by use of echo intensity, however, is difficult. Coronary angioscopy is a useful method for detection of thrombi and the color of the surface of the plaque.
It has been reported that integrated backscatter (IB), which is useful for tissue characterization of the myocardium, can differentiate fibrous tissue and fatty tissue of arteries ex vivo. Recently, we reported that the differentiation of the 7 tissue components of arteries, consisting of thrombus, lipid pool, intimal hyperplasia, fibrosis, mixed lesion, calcification, and the presence of media, was possible in human carotid and femoral arteries in vivo by use of IB combined with conventional 2D echo and that the constructed color-coded maps of the arteries with plaques in the patients during life reflected each of the above histologies well at autopsy of the same patients.5 There is no known study, however, of IB analysis on coronary arteries in vivo.
Thus, the purpose of the present study was (1) to define whether IB-IVUS can differentiate clinicopathologically the tissue characteristics in human coronary arterial plaque in vivo and (2) to compare IB-IVUS data with angioscopic findings.
| Methods |
|---|
|
|
|---|
Study Protocol
At autopsy, within 8 hours after death, the coronary arteries were dissected and coronary arteries with plaques were subjected to the ex vivo IB imaging of IVUS in 0.9% saline at a temperature of 37°C. To clarify the "rotational" position of the included segment, stainless steel needles were carefully inserted into the coronary arteries to be used as a reference point in the ex vivo and histological studies. Subsequently, the same imaging procedures were repeated 2 days after fixation with 10% buffered formalin. Ring-like arterial specimens obtained at a level similar to that of the ultrasound study after decalcification for 5 hours were embedded in paraffin and cut 4 µm thick transversely perpendicular to the longitudinal axis of the artery. They were stained with hematoxylin-eosin, elastic van Gieson stain, and Massons trichrome. In addition, immunohistochemical analysis using anti-actin antibody was performed for the detection of smooth muscle cells. According to the definition of atherosclerotic lesions by the American Heart Association Council on Atherosclerosis,6 7 pathological subsets were identified in each region of interest (ROI): thrombus (collections of erythrocytes embedded in a net of platelets), lipid core (extracellular lipid, macrophages, and/or foam cells), intimal hyperplasia consisting of smooth muscle cells that occupied >50% of the sample area, fibrous tissue, mixed lesions (mixed mineral deposits, extracellular lipid, and fibrous tissue), calcification, and the presence of media. These histological determinations were based on the agreement of 2 specialists who were blinded to the ultrasound echo study.
IB System Presets and Data Acquisition
Conventional IVUS images and IB signals were acquired with a commercially available IVUS imaging system to characterize the coronary arterial tissue with a 40-MHz intravascular catheter (Boston Scientific). An IVUS catheter was placed at the site perpendicular to the longitudinal axis of the coronary arteries in the center of the lumen. We used an analog-to-digital converter, which allowed acquisition, storing, and retrieving of signals that were digitized at 2 GHz in 8-bit resolution. Offline analyses of the acquired RF signals were performed by retrieving the previously stored data from the built-in hard-disk drives in the system by use of software we developed for this study. IB was calculated as the average power of the ultrasound backscattered signal from a small volume of tissue by use of fast Fourier transform (FFT) measured in decibels (dB). The FFT analyses were performed by a program that was constructed by use of Visual Basic. The code in the FFT program is shown in the Appendix. Color-coded construction was performed by Noesys. In the present study, we used 256 vector lines per image (1.4 grade per line) and set 20 ROIs of each 100-µm depth on each vector line (total 5120 ROIs per image). The tissue IB values were calibrated by subtracting the IB values from the IB value of stainless steel placed at a distance of 1.5 mm from the catheter. In the ex vivo studies, each site of each tissue characteristic was placed at a distance of
1.5 mm from the catheter. Offline analysis after the IB values had been retrieved allowed us to set the ROIs one by one, referring to the pathological characteristics by pathological photographs.
Angioscopic Analysis
In an in vivo angioscopic analysis in the patients with angina pectoris, images obtained with a Vecmova (4.5F) catheter (Clinical Supply) were classified into white plaque, light yellow plaque, and yellow plaque.7 The same segments in which IB-IVUS was performed were analyzed by angioscopy. Angioscopic findings were compared with color-coded maps obtained by the IB-IVUS analysis.
Statistical Analyses
Values are reported as the mean±SD. The significance of the differences of IB values among tissue characteristics in the arterial wall were tested by ANOVA followed by Fishers exact test, which was used for the post hoc test. Correlation among the IB values during life and before and after fixation was tested for significance by Pearsons correlation coefficient. A value of P<0.05 was considered to be statistically significant.
| Results |
|---|
|
|
|---|
To compare the IB values and their pathologies, a total of 88 sampling sites with typical histology were examined in the 18 arteries of autopsied specimens (Table 1). The typical histologies of these sampling sites were divided into calcification (n=9), mixed lesion (n=11), fibrous tissue (n=17), lipid core (n=16), intimal hyperplasia (n=5) and thrombus (n=6) in the intima, and the media (n=24). The IB values of these tissues after fixation at autopsy were -26.7±3.6, -40.7±4.6, -58.9±3.6, -67.5±3.6, -70.7±2.7, and -84.2±3.8 in the intima, respectively, and -74.5±6.2 in the media (Figure 1). In each of the ex vivo studies, the IB values were highest in calcified plaque and lowest in thrombus (Figure 1). The differences among thrombus, fibrous tissue, mixed lesion, calcification and lipid core, intimal hyperplasia, and media were significant. Lipid core, intimal hyperplasia, and media, however, had similar IB values. The correlation between IB values and each category by use of Spearmans correlation coefficient by rank was sufficient (R=0.954).
|
|
Construction of Color-Coded Maps by Use of IB Values and Conventional 2D IVUS
To construct IB color-coded maps in the arterial wall, IB values on the ROIs were divided into 5 categories based on the mean calibrated IB values ±1 SD; category 1 (thrombus), category 2 (intimal hyperplasia or lipid core in the intima and media), category 3 (fibrous tissue), category 4 (mixed lesion), and category 5 (calcification) (Table 1).
On the basis of the above categories, 2D color-coded maps of tissue characterization were constructed in 18 segments of coronary arteries in 9 autopsied patients (Figure 2). We analyzed 5120 ROIs (20 ROIs per vector linex256 vector lines) in each segment. It was reported that the average attenuation with a 40-MHz frequency catheter was 5.9 dB/mm.9,10 Therefore, we corrected each IB value, adding 0.59 dB/0.1 mm when the ROI was located 1.5 mm farther from the catheter and subtracting 0.59 dB/0.1 mm when the ROI was located 1.5 mm closer to the catheter. In category 2, the media and intima were differentiated by use of conventional 2D echo.5 In general, lipid cores (category 2) are pathologically located under fibrous caps consisting of fibrous tissue (category 3) and/or mixed lesion (category 4). The fibrous cap, however, is not generally observed in intimal hyperplasia. Therefore, the presence of ROIs with category 2 under a layer of ROIs with category 3 (fibrous cap) and/or category 4 (mixed lesion) was defined as a lipid core but not as intimal hyperplasia. The thicknesses of the fibrous caps and the areas of the lipid core were measured from the number of ROIs 100 µm in depth. Large and small lipid core, thin and thick fibrous caps, intimal hyperplasia, fibrous tissue, and mixed lesions reflected each of the pathological findings in the plaque well (Table 2). Then, by use of the same method, 2D color-coded maps were constructed in 25 segments of coronary arteries of 12 patients with angina pectoris in vivo.
|
|
Comparison Between the Findings of IB-IVUS and Angioscopy
The findings of IB-IVUS and angioscopy were compared in 25 segments of coronary arteries of 12 patients in vivo with angina pectoris. As shown in Figure 3, 7 of 9 white plaques in angioscopy showed fibrous plaques without lipid core or plaques with thick fibrous caps (
500 µm in narrowest width). The narrowest width of fibrous cap was 200 to 400 µm in each of 9 light yellow plaques and <100 µm in 6 of 7 yellow plaques. That is, plaque color depended on the thickness of the fibrous cap. Conversely, the size of the lipid core varied considerably among yellow, light yellow, and white plaques (Figure 3).
|
| Discussion |
|---|
|
|
|---|
Technical Consideration of IB-IVUS
According to previous studies on IB values by use of aortic, carotid, and femoral arteries, the IB from the arterial wall is angle dependent.11 The IB values of fibrous tissues were higher than those of fatty tissues rich in lipid, which showed low angular scattering.11 The present findings in coronary arteries confirmed the above observations. The angle dependence makes tissue characterization unstable when ROIs are not perpendicular to the axis.12 Therefore, a catheter should be put at the site perpendicular to the longitudinal axis of the coronary arteries in the center of the lumen, which was done in the present study. Axial resolution depends on the pulse length. In addition, lateral resolution depends on the beam width and the aperture size of the transducer. Increasing the transducer frequency (40 MHz) and high sampling rate (2 GHz) allowed detailed analysis by use of IB measurement. When the frequency of a transducer was 40 MHz and the speed of sound in a tissue was
1540 m/sec, the resolution was calculated as 38.5 µm. In the present study, the size of the ROI was 100 µm in depth. The presence of the small ROI made the precise measurements of thickness of fibrous caps and the area of the lipid core possible.
It was reported that fixation and processing for histopathological examinations resulted in a decrease in total vessel cross-sectional area and luminal cross-sectional area, but absolute wall area (total vessel cross-sectional area minus luminal cross-sectional area) did not change in vessels with minimal atherosclerotic narrowing.10,13 Several studies have documented that formalin fixation does not significantly affect the morphology and quantitative echo character of plaque tissue of human aortic walls.5,14 This fact was also confirmed in the present study. Because the IB values of saline are similar to those of uniformly flowing blood,15 the IB values of each category obtained from the autopsy study by use of saline were used in the in vivo study.
Because intimal hyperplasia and lipid core have similar IB values, it is necessary to use a complex method to differentiate them. This may limit the value of the method for broad usage. The difficulty of differentiation between extracellular lipid and macrophages and/or foam cells limits the value of the IB-IVUS method. It would be more accurate to calculate R values for each type of plaque instead of pooling them all together. The categories in the present study, however, were not defined quantitatively. This makes the correlation and validation study subject to erroneous interpretations.
Clinical Implications
The IB-IVUS presented here can enable us to visualize lipid cores, fibrous caps, intimal hyperplasia, fibrous tissue, mixed lesions, and calcification in the plaque of human coronary arteries in vivo. Conversely, coronary angioscopy is a good tool for evaluation of thrombi and surface color of plaques. The present study, however, revealed that the plaque color detected by angioscopy reflected the thickness of the fibrous cap but not the size of the lipid core. Thus, IB-IVUS is considered to be a more precise method for tissue characterization of coronary arterial plaques than coronary angioscopy.
In general, it is easy to insert the IB-IVUS catheter in segments with mild or moderate stenosis but difficult to insert it in segments with severe stenosis. Therefore, IB-IVUS was performed in coronary arteries with mild or moderate stenosis in the present study. When definite calcification is present in the fibrous cap or in the mixed lesion, it is difficult to obtain a precise IB-IVUS image in the outside tissue of the fibrous cap because of the attenuation phenomenon. This was confirmed in the present study. Most cases of acute coronary syndrome, an important cause of mortality in ischemic heart disease, however, occur from unstable plaque consisting of large lipid cores with thin fibrous caps or intimal hyperplasia in which the degree of stenosis is mild or moderate.1,2,16 In these plaques without severe stenosis, calcification of fibrous caps is generally rare or slight. Therefore, IB-IVUS is adequate for the detection of unstable plaques showing mild or moderate stenosis.
| Conclusions |
|---|
|
|
|---|
| Acknowledgments |
|---|
| Appendix |
|---|
|
|
|---|
Dim i As Integer, i0 As Integer, i1 As Integer, j As Integer, _
ns As Integer, k As Integer, arg As Integer
Dim s As Double, c As Double, sc As Double, x1 As Double, y1 As Double
ns=N/2: sc=2 * 4 * Atn(1#)/N
Do While ns
1
arg=0
For j=1 To N Step 2 * ns
k=N/4
c=Cos(sc * arg): s=Sin(id * sc * arg)
For i0=j To j + ns - 1
i1=i0 + ns
x1=x(i1) * c - y(i1) * s: y1=y(i1) * c + x(i1) * s
x(i1) = x(i0) - x1: y(i1) = y(i0) - y1
x(i0) = x(i0) + x1: y(i0) = y(i0) + y1
Next i0
Do While k
arg
arg=arg - k: k=k/2
If k=0 Then Exit Do
Loop
arg=arg + k
Next j
ns=ns/2
Loop
If id <0 Then
For i=1 To N
x(i) = x(i)/N: y(i) = y(i)/N
Next i
End If
j=1
For i=1 To N - 1
If i
j Then
x1=x(i): x(i) = x(j): x(j) = x1
y1=y(i): y(i) = y(j): y(j) = y1
End If
k=N/2
Do While k < j
j=j - k: k=k/2
Loop
j=j + k
Next i
End Sub
Received December 31, 2001; revision received March 22, 2002; accepted March 22, 2002.
| References |
|---|
|
|
|---|
2.
Yokoya K, Takatsu H, Suzuki T, et al. Process of progression of coronary artery lesions from mild or moderate stenosis to moderate or severe stenosis. Circulation. 1999; 100: 903909.
3. Fernandes-Ortiz A, Badimon JJ, Fark E, et al. Characterization of the relative thrombogenicity of atherosclerotic plaque components: implications for consequences of plaque rupture. J Am Coll Cardiol. 1994; 23: 15621569.[Abstract]
4.
Brown BG, Zhao XQ, Sacco DE, et al. Lipid lowering and plaque regression. Circulation. 1993; 87: 17811791.
5.
Kawasaki M, Takatsu H, Noda T, et al. Non-invasive tissue characterization of human atherosclerotic lesions in carotid and femoral arteries by ultrasound integrated backscatter: comparison between histology and integrated backscatter images before and after death. J Am Coll Cardiol. 2001; 38: 486492.
6.
Stary HC, Chandler B, Dinsmore RE, et al. A definition of advanced types of atherosclerotic lesions and a histological classification of atherosclerosis: a report from the committee on vascular lesions of the Council on Atherosclerosis, American Heart Association. Circulation. 1995; 92: 13551374.
7. Thieme T, Wernecke KD, Meyer R, et al. Angioscopic evaluation of atherosclerotic plaques: validation by histomorphologic analysis and association with stable and unstable coronary syndromes. J Am Coll Cardiol. 1996; 28: 16.[Abstract]
8.
Potkin BN, Bartorelli AL, Gessert JM, et al. Coronary artery imaging with intravascular high-frequency ultrasound. Circulation. 1990; 81: 15751585.
9. Bridal SL, Fornes P, Bruneval P, et al. Parametric (integrated backscatter and attenuation) images constructed using backscattered radio frequency signals (2556 MHz) from human aortae in vitro. Ultrasound Med Biol. 1997; 23: 215229.[CrossRef][Medline] [Order article via Infotrieve]
10. Lockwood GR, Ryan LK, Hunt JW, et al. Measurement of the ultrasound properties of vascular tissue and blood from 3565 MHz. Ultrasound Med Biol. 1991; 17: 653666.[CrossRef][Medline] [Order article via Infotrieve]
11.
Picano E, Landdini L, Distante A, et al. Angle dependence of ultrasonic backscatter in arterial tissues: a study in vitro. Circulation. 1985; 72: 572576.
12. Hiro T, Leung CY, Karimi H, et al. Angle dependence of intravascular ultrasound imaging and its feasibility in tissue characterization of human atherosclerotic tissue. Am Heart J. 1999; 137: 476481.[CrossRef][Medline] [Order article via Infotrieve]
13. Siegel RJ, Swan K, Edwalds G, et al. Limitations of postmortem assessment of human coronary artery size and luminal narrowing: differential effects of tissue fixation and processing on vessels with different degrees of atherosclerosis. J Am Coll Cardiol. 1985; 5: 342346.[Abstract]
14. Picano E, Landini L, Distante A, et al. Different degrees of atherosclerosis detected by backscattered ultrasound: an in vitro study on fixed human aortic walls. J Clin Ultrasound. 1983; 11: 375379.[Medline] [Order article via Infotrieve]
15. Shung KK, Tuan YW, Fei DY. Effect of flow disturbance on ultrasonic backscatter from blood. J Acoust Soc Am. 1984; 75: 12651272.[CrossRef][Medline] [Order article via Infotrieve]
16.
Ojio S, Takatsu H, Tanaka T, et al. Considerable time from the onset of plaque rupture and/or thrombi until the onset of acute myocardial infarction in humans. Circulation. 2000; 102: 20632069.
This article has been cited by other articles:
![]() |
A. Maehara, G. S. Mintz, and N. J. Weissman Advances in Intravascular Imaging Circ Cardiovasc Interv, October 1, 2009; 2(5): 482 - 490. [Full Text] [PDF] |
||||
![]() |
B. A. Kaufmann Ultrasound molecular imaging of atherosclerosis Cardiovasc Res, September 1, 2009; 83(4): 617 - 625. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Miyagi, H. Ishii, R. Murakami, S. Isobe, M. Hayashi, T. Amano, K. Arai, D. Yoshikawa, T. Ohashi, T. Uetani, et al. Impact of renal function on coronary plaque composition Nephrol. Dial. Transplant., August 23, 2009; (2009) gfp423v1. [Abstract] [Full Text] [PDF] |
||||
![]() |
O C Raffel, T Akasaka, and I-K Jang Cardiac optical coherence tomography Heart, September 1, 2008; 94(9): 1200 - 1210. [Full Text] [PDF] |
||||
![]() |
F. Alfonso and L. Hernando Intravascular ultrasound tissue characterization. I like the rainbow but... what's behind the colours? Eur. Heart J., July 2, 2008; 29(14): 1701 - 1703. [Full Text] [PDF] |
||||
![]() |
T. Uetani, T. Amano, H. Ando, K. Yokoi, K. Arai, M. Kato, N. Marui, M. Nanki, T. Matsubara, H. Ishii, et al. The correlation between lipid volume in the target lesion, measured by integrated backscatter intravascular ultrasound, and post-procedural myocardial infarction in patients with elective stent implantation Eur. Heart J., July 2, 2008; 29(14): 1714 - 1720. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. K. Courtney, N. R. Munce, K. J. Anderson, A. S. Thind, G. Leung, P. E. Radau, F. S. Foster, I. A. Vitkin, R. S. Schwartz, A. J. Dick, et al. Innovations in imaging for chronic total occlusions: a glimpse into the future of angiography's blind-spot Eur. Heart J., March 1, 2008; 29(5): 583 - 593. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Kubo, T. Imanishi, S. Takarada, A. Kuroi, S. Ueno, T. Yamano, T. Tanimoto, Y. Matsuo, T. Masho, H. Kitabata, et al. Implication of plaque color classification for assessing plaque vulnerability a coronary angioscopy and optical coherence tomography investigation. J. Am. Coll. Cardiol. Intv., February 1, 2008; 1(1): 74 - 80. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Amano, T. Matsubara, T. Uetani, M. Nanki, N. Marui, M. Kato, T. Yoshida, K. Arai, K. Yokoi, H. Ando, et al. Abnormal glucose regulation is associated with lipid-rich coronary plaque: relationship to insulin resistance. J. Am. Coll. Cardiol. Img., January 1, 2008; 1(1): 39 - 45. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. K. Mehta, J. R. McCrary, A. D. Frutkin, W. J.S. Dolla, and S. P. Marso Intravascular ultrasound radiofrequency analysis of coronary atherosclerosis: an emerging technology for the assessment of vulnerable plaque Eur. Heart J., June 1, 2007; 28(11): 1283 - 1288. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Amano, T. Matsubara, T. Uetani, M. Nanki, N. Marui, M. Kato, K. Arai, K. Yokoi, H. Ando, H. Ishii, et al. Impact of Metabolic Syndrome on Tissue Characteristics of Angiographically Mild to Moderate Coronary Lesions: Integrated Backscatter Intravascular Ultrasound Study J. Am. Coll. Cardiol., March 20, 2007; 49(11): 1149 - 1156. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Kawasaki, B. E. Bouma, J. Bressner, S. L. Houser, S. K. Nadkarni, B. D. MacNeill, I.-K. Jang, H. Fujiwara, and G. J. Tearney Diagnostic Accuracy of Optical Coherence Tomography and Integrated Backscatter Intravascular Ultrasound Images for Tissue Characterization of Human Coronary Plaques J. Am. Coll. Cardiol., July 4, 2006; 48(1): 81 - 88. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Ohtani, Y. Ueda, I. Mizote, J. Oyabu, K. Okada, A. Hirayama, and K. Kodama Number of Yellow Plaques Detected in a Coronary Artery Is Associated With Future Risk of Acute Coronary Syndrome: Detection of Vulnerable Patients by Angioscopy J. Am. Coll. Cardiol., June 6, 2006; 47(11): 2194 - 2200. [Abstract] [Full Text] [PDF] |
||||
![]() |
U. Limbruno and R. De Caterina EMERALD, AIMI, and PROMISE: is there still a potential for embolic protection in primary PCI? Eur. Heart J., May 2, 2006; 27(10): 1139 - 1145. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Sano, M. Kawasaki, Y. Ishihara, M. Okubo, K. Tsuchiya, K. Nishigaki, X. Zhou, S. Minatoguchi, H. Fujita, and H. Fujiwara Assessment of Vulnerable Plaques Causing Acute Coronary Syndrome Using Integrated Backscatter Intravascular Ultrasound J. Am. Coll. Cardiol., February 21, 2006; 47(4): 734 - 741. [Abstract] [Full Text] [PDF] |
||||
![]() |
F. L. Ruberg, J. Viereck, A. Phinikaridou, Y. Qiao, J. Loscalzo, and J. A. Hamilton Identification of cholesteryl esters in human carotid atherosclerosis by ex vivo image-guided proton MRS J. Lipid Res., February 1, 2006; 47(2): 310 - 317. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. L. Higgins, S. A. Marvel, and J. D. Morrisett Quantification of Calcification in Atherosclerotic Lesions Arterioscler Thromb Vasc Biol, August 1, 2005; 25(8): 1567 - 1576. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Kawasaki, K. Sano, M. Okubo, H. Yokoyama, Y. Ito, I. Murata, K. Tsuchiya, S. Minatoguchi, X. Zhou, H. Fujita, et al. Volumetric Quantitative Analysis of Tissue Characteristics of Coronary Plaques After Statin Therapy Using Three-Dimensional Integrated Backscatter Intravascular Ultrasound J. Am. Coll. Cardiol., June 21, 2005; 45(12): 1946 - 1953. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Murashige, T. Hiro, T. Fujii, K. Imoto, T. Murata, Y. Fukumoto, and M. Matsuzaki Detection of Lipid-Laden Atherosclerotic Plaque by Wavelet Analysis of Radiofrequency Intravascular Ultrasound Signals: In Vitro Validation and Preliminary In Vivo Application J. Am. Coll. Cardiol., June 21, 2005; 45(12): 1954 - 1960. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Madjid, A. Zarrabi, S. Litovsky, J. T. Willerson, and W. Casscells Finding Vulnerable Atherosclerotic Plaques: Is It Worth the Effort? Arterioscler Thromb Vasc Biol, October 1, 2004; 24(10): 1775 - 1782. [Abstract] [Full Text] [PDF] |
||||
![]() |
O. Honda, S. Sugiyama, K. Kugiyama, H. Fukushima, S. Nakamura, S. Koide, S. Kojima, N. Hirai, H. Kawano, H. Soejima, et al. Echolucent carotid plaques predict future coronary events in patients with coronary artery disease J. Am. Coll. Cardiol., April 7, 2004; 43(7): 1177 - 1184. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Takano, K. Mizuno, S. Yokoyama, K. Seimiya, F. Ishibashi, K. Okamatsu, and R. Uemura Changes in coronary plaque color and morphology by lipid-lowering therapy with atorvastatin: serial evaluation by coronary angioscopy J. Am. Coll. Cardiol., August 20, 2003; 42(4): 680 - 686. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. D. MacNeill, H. C. Lowe, M. Takano, V. Fuster, and I.-K. Jang Intravascular Modalities for Detection of Vulnerable Plaque: Current Status Arterioscler Thromb Vasc Biol, August 1, 2003; 23(8): 1333 - 1342. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Denzel, K. Balzer, K.-M. Muller, F. Fellner, C. Fellner, and W. Lang Relative Value of Normalized Sonographic In Vitro Analysis of Arteriosclerotic Plaques of Internal Carotid Artery Stroke, August 1, 2003; 34(8): 1901 - 1906. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. Yabushita, B. E. Bouma, S. L. Houser, H. T. Aretz, I.-K. Jang, K. H. Schlendorf, C. R. Kauffman, M. Shishkov, D.-H. Kang, E. F. Halpern, et al. Characterization of Human Atherosclerosis by Optical Coherence Tomography Circulation, September 24, 2002; 106(13): 1640 - 1645. [Abstract] [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Circulation Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2002 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |