EXPERIMENTAL STUDY
In vivo noninvasive detection and age definition of arterial thrombus by MRI
Roberto Corti, MD* ,
Julio I. Osende, MD* ,
Zahi A. Fayad, PhD ,
John T. Fallon, MD, PhD, FACC ,
Valentin Fuster, MD, PhD, FACC ,
Gabor Mizsei, MS ,
Elisha Dickstein, BA,*,
Burton Drayer, MD and
Juan J. Badimon, PhD, FACC* ,*
* Cardiovascular Biology Research Laboratory, Mount Sinai Medical Center, New York, New York, USA
Cardiovascular Institute, Mount Sinai Medical Center, New York, New York, USA
Department of Radiology, Mount Sinai Medical Center, New York, New York, USA
Department of Pathology, Mount Sinai Medical Center, New York, New York, USA
* Reprint requests and correspondence: Dr. Juan J. Badimon, Cardiovascular Biology Research Laboratory, Zena and Michael A. Wiener Cardiovascular Institute, One Gustave L. Levy Place, Box 1030, New York, New York 10029-6574 USA. juan.badimon{at}mssm.edu
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Abstract
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OBJECTIVES: The purpose of this study was to evaluate the potential of magnetic resonance (MR) to detect arterial thrombotic obstruction and define thrombus age.
BACKGROUND: Arterial thrombi underlie the clinical consequences of atherosclerosis and are not reliably detected by current noninvasive diagnostic techniques.
METHODS: Carotid thrombi were induced in swine (n = 7) by arterial injury. Serial high-resolution in vivo MR images were obtained using black-blood T1-weighted (T1W) and T2-weighted (T2W) sequences in a clinical 1.5T MR system at 6 h, 1 day and at 1, 2, 3, 6 and 9 weeks. At each time point one animal was sacrificed and the occluded carotid artery processed for histopathology. Thrombus signal intensity (SI) was normalized to that of the adjacent muscle. Thrombus age was assessed based on MR appearance by two blinded independent observers.
RESULTS: Thrombus appearance and relative SI revealed characteristic temporal changes in multicontrast-weighted MR images, reflecting histologic changes in the composition. Acute thrombus appeared very bright on the T2W images, facilitating the detection. Signal intensity was 197 ± 25% at 6 h, peaking at 1 week (246 ± 51%), reaching a plateau by 6 weeks (120 ± 15%). At six weeks, complete thrombus organization was confirmed histologically. The T1W images had similar pattern with lower SI than T2W. Age definition using visual appearance was highly accurate (Pearsons chi-square with 4 df ranging from 96 to 132 and Cohens kappa at 0.81 to 0.94). Agreement between observers was substantial (Pearson chi-square with 4 df = 91.5, kappa = 0.79).
CONCLUSIONS: Magnetic resonance imaging is a promising tool to noninvasively detect arterial thrombosis. Measurement of SI and the characteristic visual appearance of the thrombus have the potential to define thrombus age.
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Abbreviations and Acronyms
| | df | | degree of freedom | | LL | | Log Likelihood | | MR | | magnetic resonance | | RBC | | red blood cell | | SI | | signal intensity | | TE | | echo time | | TR | | repetition time | | T1W | | T1-weighted | | T2W | | T2-weighted | | 2IR-FSE | | double inversion recovery fast spin echo |
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Despite advances in our understanding of the pathogenesis (1,2), newer treatment modalities and increased preventive efforts, thrombotic complications of atherosclerosis remain the leading cause of morbidity and mortality in Western society and are an emerging epidemic in developing countries (3). Disruption of atherosclerotic plaques is known to initiate thrombus formation leading to thrombotic and thromboembolic events (46). Therefore, the detection of evolving arterial thrombus noninvasively can have significant diagnostic and therapeutic implications. Although different imaging methods are now clinically available for the diagnosis of luminal narrowing, arterial occlusion and intramural hematoma (7), arterial thrombi are not reliably detected by current diagnostic techniques. Angioscopy (8,9), for instance, is invasive and not widely available. Intravascular ultrasound and angiography are invasive and use indirect and nonsensitive criteria for thrombus detection.
Among the different imaging modalities, magnetic resonance (MR) is emerging as the potential leading noninvasive in vivo imaging modality for atherosclerosis (10). Magnetic resonance differentiates tissue components on the basis of biophysical and biochemical parameters such as chemical composition, water content, physical state, molecular motion or diffusion. We and others have previously reported that MR imaging allows accurate quantification and characterization of atherosclerotic lesions in various arterial beds (1116). We have reported an anecdotal MR observation showing time-dependent signal changes in the thrombosed false lumen of an aortic dissection in an atherosclerotic rabbit (17). Recently, MR was used to image thrombus formation in the abdominal aorta in the atherosclerotic rabbit model using a T2-weighted (T2W) MR sequence (18).
Several groups have previously highlighted the importance of gradient echo MR imaging in the study of cerebral hematoma and venous thrombosis (19,20). Based on our ongoing experience in MR plaque imaging, we specifically decided to test multicontrast fast spin echo sequenceswhich are commonly used for high-resolution MR imaging of atherosclerotic plaquesfor thrombus visualization and characterization of thrombus age.
We now report the serial in vivo imaging and characterization of arterial thrombosis in swine using a clinical MR system.
The ability to noninvasively detect thrombotic material in the arterial circulation may improve our knowledge of pathophysiology in the field of atherothrombosis and may permit quantitative monitoring of thrombus growth and assessment of treatment efficacy over time. Moreover, the ability to reliably differentiate between recent and old thrombi may give relevant information for patients risk stratification and could allow tailoring of therapeutic approaches.
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Methods
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Model of artery thrombosis in porcine carotid arteries.
Yorkshire albino swine (n = 7, 35 kg) were selected for this study. Anesthetic and surgical preparations for the carotid injury were performed as previously described (21). Thrombus formation in the common carotid artery was performed by modification of a previously reported technique (21). In brief, we induced: 1) deep arterial injury by 4 to 6 balloon inflations (Titan, Cordis Corp., Miami, Florida) to 1.5 to 2 times the normal lumen diameter to a maximum of 15 atms, followed by, 2) de-endothelialization by pullback of the inflated balloon to facilitate thrombus adhesion, and 3) reduction of blood flow by subocclusive inflation of the balloon proximal to the injured segment until occlusion or subocclusion was confirmed by angiography (30 to 45 min). After the procedure, animals were transferred to the MR and allowed to recover.
The handling, maintenance and care of the animals, as well as all the procedures performed in this protocol, were approved by the Mount Sinai School of Medicine Animal Management Program and followed the AHA Guidelines for Animal Research.
In vivo MR imaging
The injured artery and the contralateral normal carotid artery were imaged shortly after thrombus induction ( 6 h), as well as at day 1 and weeks 1, 2, 3, 6 and 9. Anesthesia was performed as previously reported (22). In brief, before the MR study, the pigs were premedicated with ketamine 15 mg/kg intramuscularly (Ketaset, Fort Dodge Animal Health, Overland Park, Kansas) and anesthesia induced with intravenous propofol 10 mg/kg (Diprivan 1%, Zeneca Pharmaceuticals, Wilmington, Delaware) followed by continuous infusion of propofol 10 to 15 mg/kg/h. Animals were intubated and mechanically ventilated with a MR compatible ventilator (pneuPAC, Broomall, Pennsylvania), were placed supine in the magnet, and a customized two-element phased-array surface coil was placed on the neck. Magnetic resonance imaging was performed using a Signa clinical 1.5T magnet (GE Medical Systems, Mount Prospect, Illinois) as previously described (22) using modified fast spin echo black-blood multicontrast sequences. After initial gradient echo series to localize the aortic arch and the carotid artery, noncontrast MR angiography was performed to localize the obstruction with time-of-flight technique. All subsequent imaging used the double inversion recovery fast spin echo (2IR-FSE) sequence for T2W and T1-weighted (T1W) images. The 2IR-FSE allows nulling of the signal from the flowing blood and is known as black-blood MR imaging. Contiguous cross-sectional images were obtained perpendicular to the long axis of the neck. The T1W and T2W images were acquired with a repetition time (TR) and echo time (TE) of 700 ms/11 ms and 2,000 ms/42 ms, respectively. Further MR imaging parameters included: receiver bandwidth ±62.5 Hz; echo train length 32; 4.4 ms echo spacing; field-of-view 12 x 12 cm; matrix 256x256 (zero-filled interpolated to 512x512, in order to reduce the partial-volume effects in imaging pixels [23]); and 3-mm slice thickness and two signal averages. High-resolution black-blood MR images of carotid arteries were obtained with an in-plane resolution of 470 x 470 µm2. The addition of a fat suppression pulse allowed an easier detection of the thrombus. The choice of TR and TE parameters was based on ex vivo and in vivo studies on plaque imaging, as previously reported (12,14,16,22,24).
Euthanasia and specimen fixation
For histopathologic evaluation of thrombus composition and correlation of the thrombus dimensions with MR imaging, one animal was sacrificed at each imaging time point. Animals were sacrificed within the 12 h after the MR examination. For the acute time points (6 h and 1 day), the animals were sacrificed immediately after MR imaging.
To avoid postmortem thrombus formation, heparin (100 IU/kg) was administered 10 min before euthanasia by injection of Sleepaway (Fort Dodge Animal Health). After euthanasia the carotid arteries were gently rinsed in 0.01 mol/l phosphate buffer saline and transferred to cold (4°C) 4% paraformaldehyde solution. Serial cross-sections of the carotid arteries were cut at 3-mm intervals matching corresponding MR images (described in the following text) and kept in fresh fixative. Specimens were then paraffin-embedded, cut into 5-µm sections and stained with combined Massons elastin technique.
An independent observer blinded to the age of thrombus and to the MR results performed the histologic analysis of thrombus composition.
Data analysis
The MR images were transferred to a Macintosh computer for analysis. The histopathologic sections were digitized to the same computer from a camera (Sony, 3CCD Video Camera, Japan) attached to a Zeiss Axioskop (Carl Zeiss, Germany) light microscope. The MR images were then matched with corresponding histopathologic sections of thrombotic carotid artery specimens (n = 56). Co-registration was carefully performed utilizing one or more anatomic landmark structures, including the origin of the carotid artery, the bifurcation and arterial branches. Cross-sectional area of the thrombus was determined for both MR images and histopathology by manual tracing using ImagePro Plus (Media Cybernetics, Silver Spring, Maryland). Two blinded investigators performed the analysis. To define intraobserver and interobserver variability, a random subset of thrombosed carotid arteries segment MR images (n = 25) and corresponding histopathology sections were re-analyzed and the intraclass correlation coefficients determined.
Changes in MR signal intensity (SI)
All MR images obtained were analyzed for the presence or absence of thrombotic occlusions. As thrombus composition changes through time, we assessed the intrinsic MR properties of the thrombus by measuring the relative SI to the reference muscle using the formula SI (%) = 100·[(SI thrombus) / (SI muscle)] on the T1W and T2W images. The immediately adjacent muscle tissue, equidistant from the surface phased-array MR coil, was selected as standard reference. The SI of the thrombus was assessed in its lengthwise central portion excluding the proximal and distal edges. Given that thrombus growth and dissolution are a dynamic process mainly located at the thrombus head and tail, the central portion of the thrombus may better reflect the age of the induced thrombus. The individual values of SI measurements of 5 to 10 contiguous images for each MR study sequence were averaged, and the mean SI at each time point was plotted over time.
Thrombus age
To visually characterize thrombus age, we used the appearance of the SI of the thrombus compared with the adjacent muscle. This allowed us to define arbitrary visual criteria (Fig. 1) to determine thrombus age. Seventy-three representative thrombus images were selected from different time points for visual definition of thrombus age. For each thrombus image, T2W and corresponding T1W images were printed on a separate glossy paper. The level of the contrast was kept uniform for all the images. Two independent observers blinded to thrombus age and to the pig identity performed the visual analysis of the thrombus using the previously defined visual criteria. The observers were asked to localize the thrombus and categorize the age (acute, 6 h; medium, 1 to 3 weeks; old, 6 weeks).

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Figure 1 Representative T2-weighted (T2W) and T1-weighted (T1W) axial magnetic resonance images of the thrombus and adjacent muscle (used as reference) at different time points after thrombus induction were selected to create a reference table for visual comparison. This figure was used as reference for signal intensity analysis by the two independent observers.
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Data and statistics
Continuous data are expressed as mean ± SD. The data were described and prepared for analysis using SYSTAT (SPSS Inc., 2000, Chicago, Illinois), whereas the multilevel modeling was done with the SAS Proc Mixed procedure (Littell, Milliken, Stroup & Wolfinger, 1996, SAS Institute, Cary, North Carolina). The multilevel modeling procedures were used to estimate and test the overall time trends in the data while adjusting for the incomplete and nested (dependent) nature of the data. Thus, the image data were both nested within pig, and not all pigs contributed data at each time point. We adjusted the orthogonal polynomial coefficients to represent the trends in the data to reflect the unequal spacing of the intervals. The accuracy in the visual definition of thrombus age is reported using Pearsons chi-square with degree of freedom (df) and Cohens kappa. A p < 0.05 was considered as statistically significant.
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Results
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Carotid artery thrombus was successfully induced in all the animals by this modified balloon catheter-based injury model. Thrombus was occlusive in six cases and partially occlusive in one animal. Magnetic resonance angiography accurately localized the arterial obstruction and detected the presence of large collaterals but did not provide any information on the etiology of the obstruction.
In all animals, thrombotic and normal (contralateral) carotid arteries were identified correctly in the axial images using black-blood technique. Moreover, black-blood MR imaging clearly differentiated between total occlusion and subocclusion (Fig. 2).

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Figure 2 Axial black-blood T2-weighted magnetic resonance image showing a 24-h old mural, eccentrically shaped thrombus (A), magnified 2.5x in B. The arrows indicate the thrombus in the injured right carotid artery, and the asterisk indicates the noninjured left carotid artery. The signal from the flowing blood in the lumen is black due to the double-inversion preparatory pulses. The corresponding histologic section is shown in C. The appearance of the thrombus on the magnetic resonance image correlates closely with the matched histologic section shown in C.
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Thrombus aging and MR SI.
Thrombus MR imaging showed time-dependent changes on T2W and T1W images (Fig. 3). These changes reflected the thrombus organization, as shown by histologic analysis (as described in the following text). The statistical analysis of trends of the SI time course for both T1W and T2W images revealed a cubic pattern, which was highly significant even after correction for the different number of observations at each time point nested within the study (T1W images: SE = 7.02, t value = 7.2, p < 0.0001 and 2 Log Likelihood (LL) = 1315.9; T2W images: SE = 10.14, t value = 6.84, p < 0.0001 and 2 LL = 1361.3). The T2W images of the acute thrombus appeared hyperintense in the few hours after induction. The initial SI at 6 h was 197.3 ± 25%, peaked at 1 week to 246.41 ± 51% (p < 0.0001 vs. 6-h old) and progressively decreased to 119.5 ± 15% at 6 weeks and remained unchanged until 9 weeks (Fig. 4). Statistical analysis of the temporal changes of SI is summarized in Table 1. The T1W images showed a similar pattern of SI changes over time: 123.7 ± 16% at 6 h, 199.3 ± 39% at 1 week (p < 0.01 vs. 6-h old) and 126 ± 10% at 6 weeks. The relative SI intensity in T2W images was significantly higher than in T1W images, and the statistical significance was the strongest during the first three weeks after thrombus induction, supporting the use of T2W sequences for the detection of acute thrombi.

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Figure 3 The thrombus revealed characteristic time-dependent changes in its appearance in T2-weighted (T2W) and T1-weighted (T1W) images in the sequential magnetic resonance (MR) scans reflecting the course of the signal intensity. Axial black-blood T2W (A, C, E) and T1W (B, D, F) MR images demonstrating the changes of the MR signal intensity of the thrombus over time. The difference in the MR signal between the thrombotic artery (arrow) and the adjacent muscle is particularly evident during the first three weeks. Bar scale = 1 cm.
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Figure 4 Thrombus signal intensity changes over time for both T1-weighted (white circles) and T2-weighted (black circles) images.
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Thrombus age
Two independent observers blinded to thrombus age performed the visual analysis for age definition. Definition of thrombus age by MR, using the characteristic visual appearance on T2W and T1W images and direct comparison with Figure 1 was highly accurate. Both observers classifications are significantly related to the true age of the thrombi. Observer #1 had a Pearsons chi-square with 4 df = 96.01, p < 0.0001, kappa = 0.81. Observer #2 had a Pearsons chi-square with 4 df = 132.25, p < 0.0001, kappa = 0.94. Agreement between observers was substantial: Pearsons chi-square with 4 df = 96.01, p < 0.0001, kappa = 0.79. Differentiation between acute and three-week-old thrombi was particularly difficult, reflecting comparable values of SI as reported in Figure 4. In contrast, acute and old ( 6-week-old) thrombi were easier to differentiate.
The sensitivity and specificity of the two independent observers for each of the three age categories (acute, medium and old) are given in Table 2.
Histologic analysis of thrombi
The time-dependent changes in thrombus composition are shown in Figure 5. The composition reflects typical thrombus characteristics as described in histopathologic studies in humans. The acute thrombus (Fig. 5A) showed histopathologic characteristics of a fresh mixed, unorganized arterial thrombus mostly composed of platelets and fibrin mesh. Interestingly, the composition of the thrombus was not homogeneous; fibrin-rich areas were mixed with platelet-rich areas and sporadic areas of erythrocyte aggregates. Platelet-rich masses were densely packed and surrounded by layers of fibrin. Fibrin-rich areas were present mostly in the interface with the injured vessel, in particular where the thrombus was attached to the areas of exposed media. In addition, intact neutrophils and lines of Zahn were also observed. Twenty-four hours after thrombus induction, composition was histopathologically similar to acute thrombus. In fact, fibrin, red blood cells (RBCs) and platelet-rich areas were still very compact, and neutrophils appeared degranulated. At one week, granular platelets and/or poorly defined cellular material (probably cellular debris) were detected among fibrin strands (Fig. 5B, lower panel), but fibrin masses still appeared compacted (Fig. 5B, upper panel). At two weeks, initial fibrotic replacement was detected inside the thrombus with formation of layers of young connective tissue, whereas unresorbed fibrin and cellular debris was still present. At three weeks, thrombus organization appeared more evident with fibrous tissue (i.e., collagen) occupying half of the area and appearance of smooth-muscle cells and neo-vessels (Fig. 5C). At six weeks, the thrombus appeared completely organized showing new vessels and dense collagen matrix, while the cellular content was reduced (Fig. 5D). A similar histologic pattern was seen at nine weeks.

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Figure 5 Time-dependent changes of thrombus composition as assessed by light microscopy (combined mason elastin stains). Sections of the thrombotic arteries (20x) and details of the composition (200x) are displayed at different time points: fresh thrombus ( 6 h) (A), one-week-old thrombus (B), three-week-old thrombus (C) and six-week-old thrombus (D).
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Thrombus size
Cross-sectional thrombus size assessed by MR correlated well with histopathology (Pearson coefficient R = 0.89). Thrombus area measured by MR was 20% to 25% higher than that measured by histology, reflecting shrinkage induced by sample fixation. Intra- and interobserver variability assessment by an intraclass correlation for both MR imaging and histopathology showed good reproducibility, with intraclass correlation coefficients ranging from 0.92 (interobserver) to 0.96 (intraobserver).
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Discussion
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Magnetic resonance imaging has been used to study atherosclerotic plaques in vivo in humans and in different animal models. We are now reporting the detection and definition of age of arterial thrombi in the carotid artery using MR in a porcine model. We demonstrate that the black-blood MR imaging technique allows the detection and the discrimination between occlusive and mural thrombi. In addition, we demonstrate that the SI of the evolving thrombus shows predictable temporal changes and that the combination of T1W and T2W sequences permits the definition of thrombus age with adequate sensitivity and specificity. The observed MR changes reflect the histologic changes associated with thrombus organization.
MR detection of thrombi.
Even though MR imaging has been successfully used in humans for the detection of deep venous thrombosis and definition of their extension (25), its ability to detect arterial thrombi has not been extensively studied. The red cell-rich venous thrombus passes through different predictable stages, which have specific MR relaxation properties that can be used in the diagnosis of deep venous thrombosis. Similar MR properties have been reported in complicated plaques (probably as a consequence of intraplaque hemorrhage) (26) and in intramural hematomas (7). However, the different content and distribution of platelets, fibrin and red cells of arterial and venous thrombi limit the application of similar MR sequences in arterial thrombosis. We decided, therefore, to develop a catheter-based animal model of arterial thrombosis (without external damage to the artery to avoid perivascular MR artifacts) to test the value of high-resolution black-blood MR sequences for serial study of arterial thrombosis. The porcine model has been extensively used for the purposes of atherosclerosis research. The pig carotid artery anatomy and size are similar to those in humans. Consequently, the MR imaging methods and spatial resolution would be comparable for pigs and humans. The imaging sequences and spatial resolution used in this study are currently possible in vivo in humans (27).
Pig model of arterial thrombosis
The validity of the model was reflected in the thrombus composition. The histologic analysis of the fresh thrombus (Fig. 5A) showed a mixed fibrin-platelet rich thrombus, a composition equivalent to human arterial thrombus. At later time points, the organized thrombus showed partial recanalization, re-absorption of the hemoglobin degradation products and, finally, fibrotic transformation (Fig. 5D). These changes are similar to those described in chronic coronary occlusions in humans (28).
The origin of the MR signal in arterial thrombi
Several studies have discussed the origin of the MR signal changes in intracerebral hematoma. Some of these studies focused on the presence of paramagnetic forms of hemoglobin that alters the MR relaxation times. The clot matrix formation and the increase in protein content decrease the MR signal in T2W images. Alterations in intracellular protein concentration may be caused by changes in RBC hydration and by their settling. This may lead to some alterations in the MR signal (29).
The MR SI of arterial thrombi may be different than that found previously in cerebral hematoma due to differences in thrombi composition. In fact, the hemoglobin content and its degradation products are lower than those in hematoma or venous thrombi. We speculate that the MR appearance of arterial thrombi and the changes detected over time result from the combination of different oxygenation states of the hemoglobin, changes in intracellular and matrix content of proteins and the hydration of the cellular components. In the few hours after thrombus formation, oxyhemoglobin, a diamagnetic compound, is present within the RBCs so that no shortening of the T1 and T2 relaxation times is expected. This may explain the high signal present in T2W images as well as the intermediate signal of T1W images. At one week, the presence of methemoglobin (short T1 relaxation time) may be responsible for the increase in the signal in T1W images, whereas the high water content of lysed RBCs may explain the high signal in T2W images. Later, the replacement of cellular debris containing methemoglobin by fibrous tissue explains the intermediate SI seen at more than six weeks after thrombus induction.
Translation of the results to human thrombosis
The temporal changes observed in our study may be present at different time points in humans. Most of the SI data were derived from complete occlusive thrombi (as only one animal showed a subocclusive thrombus) and, thus, these observations should not be extrapolated to small mural or mobile thrombi. However, acute coronary syndromes usually occur as a consequence of an occlusive thrombus similar in composition and structure to those induced in our study, rather than from a small mural thrombus.
Future perspective
Further improvements in technique may allow further understanding of the pathobiology of atherothrombosis. In particular, noninvasive in vivo MR could permit tailoring of therapeutic approaches based on thrombus characteristics and help assess treatment efficacy. Magnetic resonance contrast agent targeting active thrombi, such as fresh fibrin (30) or activated platelets, may be useful for the detection of mural thrombi and in the selection of high-risk patients. Improvements in image quality and spatial resolution may provide precise differentiation between thrombus and vessel wall and, therefore, may allow the detection of complicated high-risk plaques even in nonobstructive lesions.
In summary, this study reports on the ability of in vivo MR imaging to detect arterial thrombosis and define the thrombus age. Magnetic resonance allows differentiation between fresh and old thrombi with adequate accuracy using the characteristic visual appearance in T1W and T2W images.
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Acknowledgments
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The authors thank William F. Chaplin, PhD, for statistical analysis, Bob Guerra and Dr. Hani Jneid for editorial support and Antony Lopez and Jose Rodriguez for helping in the thrombus induction procedures as well as the entire staff at the Center for Laboratory Animal Sciences for their assistance in the handling and maintenance of the animals.
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Footnotes
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Supported, in part, by grants from NIH SCOR HL54469 (V. F. and J. J. B.) and the Swiss National Research Foundation (R. C.).
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T. Saam, T. S. Hatsukami, N. Takaya, B. Chu, H. Underhill, W. S. Kerwin, J. Cai, M. S. Ferguson, and C. Yuan
The Vulnerable, or High-Risk, Atherosclerotic Plaque: Noninvasive MR Imaging for Characterization and Assessment
Radiology,
July 1, 2007;
244(1):
64 - 77.
[Abstract]
[Full Text]
[PDF]
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D. Maintz, M. Ozgun, A. Hoffmeier, R. Fischbach, W. Y. Kim, M. Stuber, W. J. Manning, W. Heindel, and R. M. Botnar
Selective coronary artery plaque visualization and differentiation by contrast-enhanced inversion prepared MRI
Eur. Heart J.,
July 2, 2006;
27(14):
1732 - 1736.
[Abstract]
[Full Text]
[PDF]
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I. Pedrosa, M. Morrin, L. Oleaga, J. Baptista, and N. M. Rofsky
Is True FISP Imaging Reliable in the Evaluation of Venous Thrombosis?
Am. J. Roentgenol.,
December 1, 2005;
185(6):
1632 - 1640.
[Abstract]
[Full Text]
[PDF]
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N. Nighoghossian, L. Derex, and P. Douek
The Vulnerable Carotid Artery Plaque: Current Imaging Methods and New Perspectives
Stroke,
December 1, 2005;
36(12):
2764 - 2772.
[Abstract]
[Full Text]
[PDF]
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M. Sirol, V. Fuster, J. J. Badimon, J. T. Fallon, J.-F. Toussaint, and Z. A. Fayad
Chronic Thrombus Detection With In Vivo Magnetic Resonance Imaging and a Fibrin-Targeted Contrast Agent
Circulation,
September 13, 2005;
112(11):
1594 - 1600.
[Abstract]
[Full Text]
[PDF]
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E. Spuentrup, M. Katoh, A. J. Wiethoff, E. C. Parsons Jr., R. M. Botnar, A. H. Mahnken, R. W. Gunther, and A. Buecker
Molecular Magnetic Resonance Imaging of Pulmonary Emboli with a Fibrin-specific Contrast Agent
Am. J. Respir. Crit. Care Med.,
August 15, 2005;
172(4):
494 - 500.
[Abstract]
[Full Text]
[PDF]
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E. Spuentrup, B. Fausten, S. Kinzel, A. J. Wiethoff, R. M. Botnar, P. B. Graham, S. Haller, M. Katoh, E. C. Parsons Jr, W. J. Manning, et al.
Molecular Magnetic Resonance Imaging of Atrial Clots in a Swine Model
Circulation,
July 19, 2005;
112(3):
396 - 399.
[Abstract]
[Full Text]
[PDF]
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E. Spuentrup, A. Buecker, M. Katoh, A. J. Wiethoff, E. C. Parsons Jr, R. M. Botnar, R. M. Weisskoff, P. B. Graham, W. J. Manning, and R. W. Gunther
Molecular Magnetic Resonance Imaging of Coronary Thrombosis and Pulmonary Emboli With a Novel Fibrin-Targeted Contrast Agent
Circulation,
March 22, 2005;
111(11):
1377 - 1382.
[Abstract]
[Full Text]
[PDF]
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R Corti, J Badimon, G Mizsei, F Macaluso, M Lee, P Licato, J F Viles-Gonzalez, V Fuster, and W Sherman
Real time magnetic resonance guided endomyocardial local delivery
Heart,
March 1, 2005;
91(3):
348 - 353.
[Abstract]
[Full Text]
[PDF]
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J. Viereck, F. L. Ruberg, Y. Qiao, A. S. Perez, K. Detwiller, M. Johnstone, and J. A. Hamilton
MRI of Atherothrombosis Associated With Plaque Rupture
Arterioscler Thromb Vasc Biol,
January 1, 2005;
25(1):
240 - 245.
[Abstract]
[Full Text]
[PDF]
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D. T. Boll, E. M. Merkle, and J. S. Lewin
Low-Flow Vascular Malformations: MR-guided Percutaneous Sclerotherapy in Qualitative and Quantitative Assessment of Therapy and Outcome
Radiology,
November 1, 2004;
233(2):
376 - 384.
[Abstract]
[Full Text]
[PDF]
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R. M. Botnar, A. Buecker, A. J. Wiethoff, E. C. Parsons Jr, M. Katoh, G. Katsimaglis, R. M. Weisskoff, R. B. Lauffer, P. B. Graham, R. W. Gunther, et al.
In Vivo Magnetic Resonance Imaging of Coronary Thrombosis Using a Fibrin-Binding Molecular Magnetic Resonance Contrast Agent
Circulation,
September 14, 2004;
110(11):
1463 - 1466.
[Abstract]
[Full Text]
[PDF]
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B. Chu, A. Kampschulte, M. S. Ferguson, W. S. Kerwin, V. L. Yarnykh, K. D. O'Brien, N. L. Polissar, T. S. Hatsukami, and C. Yuan
Hemorrhage in the Atherosclerotic Carotid Plaque: A High-Resolution MRI Study
Stroke,
May 1, 2004;
35(5):
1079 - 1084.
[Abstract]
[Full Text]
[PDF]
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R. M. Botnar, A. S. Perez, S. Witte, A. J. Wiethoff, J. Laredo, J. Hamilton, W. Quist, E. C. Parsons Jr, A. Vaidya, A. Kolodziej, et al.
In Vivo Molecular Imaging of Acute and Subacute Thrombosis Using a Fibrin-Binding Magnetic Resonance Imaging Contrast Agent
Circulation,
April 27, 2004;
109(16):
2023 - 2029.
[Abstract]
[Full Text]
[PDF]
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C. M. Kramer, L. A. Cerilli, K. Hagspiel, J. M. DiMaria, F. H. Epstein, and J. A. Kern
Magnetic Resonance Imaging Identifies the Fibrous Cap in Atherosclerotic Abdominal Aortic Aneurysm
Circulation,
March 2, 2004;
109(8):
1016 - 1021.
[Abstract]
[Full Text]
[PDF]
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M. Naghavi, P. Libby, E. Falk, S. W. Casscells, S. Litovsky, J. Rumberger, J. J. Badimon, C. Stefanadis, P. Moreno, G. Pasterkamp, et al.
From Vulnerable Plaque to Vulnerable Patient: A Call for New Definitions and Risk Assessment Strategies: Part I
Circulation,
October 7, 2003;
108(14):
1664 - 1672.
[Abstract]
[Full Text]
[PDF]
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A. R. Moody, R. E. Murphy, P. S. Morgan, A. L. Martel, G.S. Delay, S. Allder, S. T. MacSweeney, W. G. Tennant, J. Gladman, J. Lowe, et al.
Characterization of Complicated Carotid Plaque With Magnetic Resonance Direct Thrombus Imaging in Patients With Cerebral Ischemia
Circulation,
June 24, 2003;
107(24):
3047 - 3052.
[Abstract]
[Full Text]
[PDF]
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R. E. Murphy, A. R. Moody, P. S. Morgan, A. L. Martel, G.S. Delay, S. Allder, S. T. MacSweeney, W. G. Tennant, J. Gladman, J. Lowe, et al.
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,
June 24, 2003;
107(24):
3053 - 3058.
[Abstract]
[Full Text]
[PDF]
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J. J. Badimon and V. Fuster
Can We Image the "Active" Thrombus?
Arterioscler Thromb Vasc Biol,
November 1, 2002;
22(11):
1753 - 1754.
[Full Text]
[PDF]
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F. A. Jaffer, C.-H. Tung, R. E. Gerszten, and R. Weissleder
In Vivo Imaging of Thrombin Activity in Experimental Thrombi With Thrombin-Sensitive Near-Infrared Molecular Probe
Arterioscler Thromb Vasc Biol,
November 1, 2002;
22(11):
1929 - 1935.
[Abstract]
[Full Text]
[PDF]
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P. Mandava, A. Bebensee, R. R. Rawlings, and T. A. Kent
Basilar artery aneurysm thrombosis
Neurology,
October 22, 2002;
59(8):
1287 - 1287.
[Full Text]
[PDF]
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V. Fuster, R. Corti, Z.A. Fayad, and J.J. Badimon
Understanding the pathophysiology of the arterial wall: which method should we choose? Magnetic resonance imaging
Eur. Heart J. Suppl.,
September 1, 2002;
4(suppl_F):
F41 - F46.
[Abstract]
[PDF]
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R. P. Choudhury, V. Fuster, J. J. Badimon, E. A. Fisher, and Z. A. Fayad
MRI and Characterization of Atherosclerotic Plaque: Emerging Applications and Molecular Imaging
Arterioscler Thromb Vasc Biol,
July 1, 2002;
22(7):
1065 - 1074.
[Abstract]
[Full Text]
[PDF]
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