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(Stroke. 2004;35:1079.)
© 2004 American Heart Association, Inc.
Original Contributions |
From Department of Radiology (B.C., A.K., M.S.F., W.S.K., V.L.Y., C.Y.), Department of Medicine (K.D.O.), and Department of Surgery (T.S.H.), University of Washington; and Mountain-Whisper-Light Statistical Consulting (N.L.P.), Seattle, Wash.
Correspondence to Chun Yuan, Department of Radiology, 1959 NE Pacific St, Box 357115, Seattle, WA 98195. E-mail cyuan{at}u.washington.edu
| Abstract |
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Methods Twenty-seven patients, scheduled for carotid endarterectomy (CEA), were imaged on a 1.5-T GE SIGNA scanner (sequences: 3-dimensional time of flight, double-inversion recovery, T1-weighted (T1W), PDW and T2W). Two readers, blinded to histology, reviewed MR images and grouped hemorrhage into fresh, recent, and old categories using a modified cerebral hemorrhage criteria. The CEA specimens were serially sectioned and graded as to presence and stage of hemorrhage.
Results Hemorrhage was histologically identified and staged in 145/189 (77%) of carotid artery plaque locations. MRI detected intraplaque hemorrhage with high sensitivity (90%) but moderate specificity (74%). Moderate agreement in classifying stages occurred between MRI and histology (Cohen
=0.7, 95% CI: 0.5 to 0.8 for reviewer 1 and 0.4, 95% CI: 0.2 to 0.6 for reviewer 2), with moderate agreement between the 2 MRI readers (
=0.4, 95% CI: 0.3 to 0.6).
Conclusion Multicontrast MRI can detect and classify carotid intraplaque hemorrhage with high sensitivity and moderate specificity.
Key Words: atherosclerosis carotid arteries magnetic resonance imaging hemorrhage
| Introduction |
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Acute hemorrhagic incidents rarely happen in isolation, especially in the atherosclerotic plaque.6,7 Microscopic examination of endarterectomy specimens often demonstrates evidence of a series of microhemorrhages into the necrotic core and into the tissue surrounding the core. Under the best of circumstances, a chain of events resulting in production of interstitial collagen in the attempt to repair damaged areas follows intraplaque hemorrhage. This process may be disrupted by inflammatory mediators that stimulate the expression of matrix metalloproteinases.8 Metalloproteinase induced degradation of extracellular matrix, and the subendothelial basement membrane of plaque microvasculature may in turn lead to repeat rupture events, as evidenced by intraplaque hemorrhages of various ages seen in excised specimens.910
A noninvasive imaging technique that is capable of identifying not only the presence but also the stage of intraplaque hemorrhage would be invaluable. Such a tool would permit in vivo studies to establish the significance of intraplaque hemorrhage in the development of ischemic complications. In addition, the detection of intraplaque hemorrhage would alert the clinician to the possibility of plaque instability. Hence, better characterization of the plaques may be useful for treatment. Although computed tomography (CT) can detect plaques and assess carotid stenosis, there are currently no CT criteria for staging intraplaque hemorrhage.
Magnetic resonance imaging (MRI) can accurately detect and stage cerebral hemorrhage using multicontrast MR images. The stages of cerebral hemorrhage are defined as hyperacute, acute, early subacute, late subacute, and chronic and are based on red blood cell content and the oxygenation of hemoglobin.11,12 MRI studies of extracranial hemorrhage have shown good correlation with signal patterns of cerebral hemorrhage.13,14
Yuan et al15 have shown that MRI can detect carotid lipid-rich necrotic cores and intraplaque hemorrhage with good accuracy. The accuracy of intraplaque hemorrhage alone by MRI has yet to be defined. Moody et al16 have demonstrated that a T1-weighted (T1W) magnetization-prepared three-dimensional (3D) gradient echo sequence can detect methemoglobin within intraplaque hemorrhage. The sensitivity and specificity for this technique was 84%, with a positive predictive value of 93% and negative predictive value of 70%. The limitation of this study was lack of separation between thrombus and hemorrhage and all but 1 stage of hemorrhage.
Despite well-defined criteria for staging cerebral hemorrhage, no such MRI criteria has existed for intraplaque hemorrhage. In this study, we classify intraplaque hemorrhage stages and correlate our findings with histology.
| Materials and Methods |
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MRI Protocol
Patients were imaged with a custom-designed phased-array surface coil in a 1.5-T Scanner (Signa Horizon EchoSpeed; GE Medical Systems). A standardized protocol was used to obtain 4 different contrast-weighted images of carotids in the transverse plane: (1) T1W; (2) proton density-weighted (PDW); (3) T2-weighted (T2W); and (4) 3D time-of-flight (TOF) MR angiography. Parameters for the imaging follow; T1W: black-blood (double-inversion recovery) 2-dimensional fast-spin echo (FSE), TR/TE=800/9.3 ms, echo train length (ETL)=8; PDW/T2W: FSE, cardiac-gated, TR=3 or 4 heart beats (2500 to 3000 ms, depending on heart rate), effective TE=20 ms for PDW and 40 ms for T2W, ETL=8; and 3D TOF: TR/TE 23/3.5 ms, flip angle 25°. Field-of-view was 16 cm, matrix size was 256, slice thickness was 2 mm (1 mm for 3D TOF), and 2 NEX (number of excitations). Fat suppression was used for T1W, PDW, and T2W images. In-plane resolution was 0.5 mm. The longitudinal coverage of each artery was 24 mm (12 slices) for T1W, 36 mm (18 slices) for PDW and T2W, and 32 mm (32 slices) for 3D TOF.
MR Image Review and Criteria
Image quality (IQ) was rated for each contrast weighting on a 5-point scale (1=poor, 5=excellent) dependent on the overall signal-to-noise ratio and the clarity of the artery wall.15 Images with an IQ
2 were excluded from the study. Each imaging location resulted in 4 contrast weightings, examined by 2 readers blinded to histology.
Three stages of intraplaque hemorrhage were categorized: fresh, recent, and old. Fresh hemorrhage (<1 week) corresponds to early subacute cerebral hemorrhage and produces hyperintensity on T1W/TOF images and isointensity or hypointensity on T2W/PD images (Figure 1; Table 1). Recent hemorrhage (1 to 6 weeks) corresponds to late subacute brain hemorrhage and produces hyperintensity on all 4 contrast weightings (Figure 2). Old hemorrhage (>6 weeks) corresponds to the late chronic brain hemorrhage and produces hypointensity on all 4 contrast weightings (Figure 3). The adjacent sternocleidomastoid muscle was used as reference.
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Histology Processing and Criteria
After carotid endarterectomy, the specimens were fixed in formalin, decalcified, and embedded in paraffin. Samples were sectioned (10 µm) every 0.5 to 1.0 mm throughout the length of the specimen and stained (hematoxylin and eosin [H&E] and Mallory trichrome17). The slides were scored by an investigator (M.S.F.) blinded to the imaging results.
This study used the 4 pathologic categories proposed by Lusby et al2 for carotid intraplaque hemorrhage.1 Operative-intact erythrocytes staining bright orange-red with Mallory stain without associated inflammatory response.2 Acute, fresh (<1 week), intact erythrocytes were associated with polymorphonuclear infiltrate and focal macrophage activity.3 Recent hemorrhage (1 to 6 weeks) containing hemorrhagic debris staining red to brown with Mallory trichome and a mixture of intact and degenerating hemorrhage, macrophage engulfment of hemosiderin, giant cell development, cholesterol crystal formation, peripheral angiogenesis, and speckled calcification.4 Remote or old hemorrhage (>6 weeks) was characterized by amorphous material staining blue with Mallory trichome, light pink with H&E, and surrounded by dense fibrous or calcified tissue, showing no evidence of inflammatory reaction, occasionally showing dense formation of cholesterol crystals and well-developed angiogenesis. In cases in which fresh or recent hemorrhage occurred in a space containing old hemorrhage, Mallory trichrome facilitated the new from old by staining erythrocytes, fibrin, and fibrin degradation products differing in shades of red to brown.
MRI and Histology Matching
Given the difference in slice thickness between MRI (2 mm) and histological cross sections (10 µm, every 0.5 to 1.0 mm), comparison was made between 3 to 4 histological sections and 1 MR cross-sectional image on the basis of the relative distance to the bifurcation. To correct for shrinkage of the endarterectomy specimen during histological processing, additional measures were used for matching MRI and histology. Morphological features of lumen, vessel wall, and calcifications were used for co-registration.15 For a hemorrhage to be considered matched between histology and MRI sections, it had to lie in the same quadrant (or quadrants) in the matched sections.
Data Analysis
Sensitivity, specificity, and Cohen kappa (
) were computed to quantify the agreement between MRI and histology, and between the 2 MRI reviewers. Because of the multiple locations for each artery within a patient, and the possibility of statistical dependence, the 95% CIs for sensitivity, specificity, and Cohen
were calculated with the bootstrap method. The 95% CI for each performance statistic was defined as the 2.5th to the 97.5th percentile of the respective bootstrap distribution.18 A value of
>0.75 was used to indicate a high level of agreement, and 0.40

0.75 denotes moderate agreement.19 All computations and cross-tabulations were performed using the statistical language R (version 1.6.1).
| Results |
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8 per patient). Each level contained 4 contrast weightings (720 images). Images were divided into quadrants totaling 2880 locations for precise colocalization. Multiple distinct areas of hemorrhage were present in 9 cross sections, giving 189 regions for comparison between histology and MRI.
Hemorrhage was present in 145 and absent in 44 out of 189 regions by histology. The mean sensitivity and specificity for the detection of intraplaque hemorrhage was 90% and 74%, respectively. Moderate agreement was seen between 2 readers and histology in the detection of intraplaque hemorrhage (
=0.74 for reader 1 and
=0.52 for reader 2) (Table 2).
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The performance of each reader for classifying the age of intraplaque hemorrhage is presented in Table 3. Moderate agreement was reached between 2 readers and histology (
=0.66 for reader 1 and
=0.44 for reader 2). Reviewer 1 (148 positive regions) and reviewer 2 (136 positive regions) (Table 2) overlapped on 128 of the positive regions and agreed on the staging of hemorrhage in 96 of those regions (
=0.4 [0.3 to 0.6]).
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| Discussion |
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Although MRI criteria of cerebral hemorrhage provides a framework, direct extrapolation of hemorrhage criteria from cerebral events to intraplaque hemorrhage is difficult because of the complexity of the substrate matrix of the latter. In brain, the underlying matrix is either gray or white matter, both of which give a uniform set of MRI signals. Moreover, the morphology and pathology of cerebral tissues have been well characterized by MRI. Even acute hemorrhage is readily detected in the brain, because of the presence of a tell-tale ring of edema and subsequent mass effect and the ability to correlate MRI findings with patient symptoms.
The situation is vastly different in the carotid atherosclerotic plaque. Intraplaque hemorrhage may insudate into preexisting necrotic cores or into spaces between calcifications and matrix. Microscopic examination of these areas shows a history of repeated hemorrhagic incidents. This varied matrix results in MR signal intensities of background substrate that have wide ranges of intensity. Blood entering an established necrotic core may organize and degrade at different rates because of existing degradative enzymes and inflammatory cells. In addition, many intraplaque hemorrhages fail to produce clinical symptoms limiting the ability to time of the hemorrhagic event.24,26 The use of a good animal model will greatly facilitate our understanding of the time of onset.27
The first modification to cerebral criteria classifies early subacute hemorrhage into a "fresh" category. Morphologically, this encompasses early clotting mechanisms, macrophage and inflammatory cell infiltration. The low prevalence of large, acute hemorrhage in our advanced atherosclerotic lesions, along with the complexity of background tissues and inability to use patient symptoms to establish exact hemorrhage age made the "acute" category used for intracranial hemorrhage unrealistic.
The second category, "recent," used late subacute criteria from brain hemorrhage and included the combination of hemorrhagic debris, intact and degenerating red blood cells, and the increased interstitial fluid associated with inflammation and early organization. These components combine to create hyperintense signal patterns in all contrast weightings. Seven false-positives occurred in this category, contributing to the moderate specificity of 74%.
Hypointensity in all 4 contrast weightings is the signal pattern of "old" hemorrhage. This category was responsible for the low Cohen
in the interreader agreement. Although close examination of the edges of the hypointense signal aided in the differentiation between chronic hemorrhage and calcification, one reader considered these lesions calcification dominant while the other called them chronic hemorrhage-dominant. Stricter criteria are needed to estimate the mixture of components in a heterogeneous substrate.
There were several circumstances in which agreement between the 2 readers was high: when large, areas of hemorrhage
0.3 mm2 were present; when medium-sized, area of hemorrhage 0.1 to 0.3 mm2 occurred in the absence of confounding factors, such as speckled calcification, pockets, invaginations, and neovasculature. The large proportion of disagreement between the 2 readers was found in small areas of hemorrhage and in the presence of the aforementioned confounding factors.
It is important to note that the capability of staging intraplaque hemorrhage is dependent on the use of 4 contrast weightings and the subsequent information available in each weighting. Although a single T1W magnetization-prepared 3D gradient echo sequence can accurately detect methemoglobin within intraplaque hemorrhage,5,16 it cannot distinguish methemoglobin contained in erythrocytes from methemoglobin extruded from lysed cells into the surrounding tissues. The use of PDW and T2W in this study allows for that discrimination by giving hypointense signals in the former and hyperintense in the latter scenarios, creating the opportunity for classification of fresh and recent hemorrhage.
Future work will focus on improving accuracy in the differentiation between lipid and recent hemorrhage. T2*-weighted gradient echo MRI will be studied for use in the detection of hemosiderin and calcifications, thus improving inter-reader reproducibility. Animal work, using a fibrin-targeted contrast agent, may give insights into the degradation of intraplaque incidents.28
| Conclusions |
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| Acknowledgments |
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Received December 4, 2003; accepted January 29, 2004.
| References |
|---|
|
|
|---|
2. Lusby RJ, Ferrell LD, Ehrenfeld WK, Stoney RJ, Wylie EJ. Carotid plaque hemorrhage. Its role in production of cerebral ischemia. Arch Surg. 1982; 117: 14791488.
3. Mofidi R, Crotty TB, McCarthy P, Sheehan SJ, Mehigan D, Keaveny TV. Association between plaque instability, angiogenesis and symptomatic carotid occlusive disease. Br J Surg. 2001; 88: 945950.[CrossRef][Medline] [Order article via Infotrieve]
4. Fryer JA, Myers PC, Appleberg M. Carotid intraplaque hemorrhage: the significance of neovascularity. J Vasc Surg. 1987; 6: 341349.[CrossRef][Medline] [Order article via Infotrieve]
5. Moody AR, Murphy RE, Morgan PS, Martel AL, Delay GS, Allder S, MacSweeney ST, Tennant WG, Gladman J, Lowe J, Hunt BJ. Characterization of complicated carotid plaque with magnetic resonance direct thrombus imaging in patients with cerebral ischemia. Circulation. 2003; 107: 30473052.
6. Burke AP, Kolodgie FD, Farb A, Weber DK, Malcom GT, Smialek J, Virmani R. Healed plaque ruptures and sudden coronary death: evidence that subclinical rupture has a role in plaque progression. Circulation. 2001; 103: 934940.
7. Davies MJ. Stability and instability: two faces of coronary atherosclerosis. Circulation. 1996; 94: 20132020.
8. Nikkari ST, OBrien KD, Ferguson M, Hatsukami T, Welgus HG, Alpers CE, Clowes AW. Interstitial collagenase (MMP-1) expression in human carotid atherosclerosis. Circulation. 1995; 92: 13931398.
9. Libby P. Inflammation in atherosclerosis. Nature. 2002; 420: 868874.[CrossRef][Medline] [Order article via Infotrieve]
10. De Boer OJ, van der Wal AC, Teeling P, Becker AE. Leukocyte recruitment in rupture prone regions of lipid-rich plaques, a prominent role for neovascularization? Cardiovasc Res. 1999; 41: 443449.
11. Gomori JM, Grossman RI, Goldberg HI, Zimmerman RA, Bilaniuk LT. Intracranial hematomas: imaging by high field MR. Radiology. 1985; 157: 8793.
12. Gomori JM, Grossman RI, Hackney DB, Goldberg HI, Zimmerman RA, Bilaniuk LT. Variable appearances of subacute intracranial hematomas on high-field spin-echo MR. AJR Am J Roentgenol. 1988; 150: 171178.
13. Rubin JI, Gomori JM, Grossman RI, Gefter WB, Kressel HY. High-field MR imaging of extracranial hematomas. AJR Am J Roentgenol. 1987; 148: 813817.
14. Yamashita Y, Hatanaka Y, Torashima M, Takahashi M. Magnetic resonance characteristics of intrapelvic haematomas. Br J Radiol. 1995; 68: 979985.
15. Yuan C, Mitsumori LM, Ferguson MS, Polissar NL, Echelard D, Ortiz G, Small R, Davies JW, Kerwin WS, Hatsukami TS. In vivo accuracy of multispectral magnetic resonance imaging for identifying lipid-rich necrotic cores and intraplaque hemorrhage in advanced human carotid plaques. Circulation. 2001; 104: 20512056.
16. Murphy RE, Moody AR, Morgan PS, Martel AL, Delay GS, Allder S, MacSweeney ST, Tennant WG, Gladman J, Lowe J, Hunt BJ. Prevalence of complicated carotid atheroma as detected by magnetic resonance direct thrombus imaging in patients with suspected carotid artery stenosis and previous acute cerebral ischemia. Circulation. 2003; 107: 30533058.
17. Mallorys Method for Collagen, Manual of Histologic Staining Methods of the AFIP. 3rd ed. 1968: 7576.
18. Efron B and Tibshirani RJ. An Introduction to the Bootstrap. Chapman and Hall, 1993.
19. Medina LS. Study design and analysis in neuroradiology: a practical approach. AJNR Am J Neuroradiol. 1999; 20: 15841596.
20. Arroyo LH, Lee RT. Mechanisms of plaque rupture: mechanical and biologic interactions. Cardiovasc Res. 1999; 41: 369375.
21. Van der wal AC. Becker AE. Atherosclerotic plaque rupture: pathologic basis of plaque stability and instability. Cardiovasc Res. 1999; 41: 334344.
22. McCarthy MJ, Loftus IM, Thompson MM, Jones L, London NJ, Bell PR, Naylor AR, Brindle NP. Angiogenesis and the atherosclerotic carotid plaque: an association between symptomatology and plaque morphology. J Vasc Surg. 1999; 30: 261268.[CrossRef][Medline] [Order article via Infotrieve]
23. Carr S. Farb A, Pearce WH, Virmani R, Yao JS. Atherosclerotic plaque rupture in symptomatic carotid artery stenosis. J Vasc Surg. 1996; 23: 755765.[CrossRef][Medline] [Order article via Infotrieve]
24. Montauban van Swijndregt AD, Elbers HR, Moll FL, de Letter J, Ackerstaff RG. Cerebral ischemic disease and morphometric analyses of carotid plaques. Ann Vasc Surg. 1999; 13: 468474.[CrossRef][Medline] [Order article via Infotrieve]
25. Hatsukami TS, Ross R, Polissar NL, Yuan C. Visualization of fibrous cap thickness and rupture in human atherosclerotic carotid plaque in vivo with high-resolution magnetic resonance imaging. Circulation. 2000; 102: 959964.
26. Hatsukami TS, Ferguson MS, Beach KW, Gordon D, Detmer P, Burns D, Alpers C, Strandness DE. Carotid plaque morphology and clinical events. Stroke. 1997; 28: 95100.
27. Corti R, Osende JI, Fayad ZA, Fallon JT, Fuster V, Mizsei G, Dickstein E, Drayer B, Badimon JJ. In vivo noninvasive detection and age definition of arterial thrombus by MRI. J Am Coll Cardiol. 2002; 39: 13661373.
28. Flacke S, Fischer S, Scott MJ, Fuhrhop RJ, Allen JS, McLean M, Winter P, Sicard GA, Gaffney PJ, Wickline SA, Lanza GM. Novel MRI contrast agent for molecular imaging of fibrin implications for detecting vulnerable plaques. Circulation. 2001; 104: 12801285.
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