Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • View or Listen to JNM Podcast
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Follow JNM on Twitter
  • Subscribe to our RSS feeds
OtherBASIC SCIENCE INVESTIGATIONS

Quantification of Inflammation Within Rabbit Atherosclerotic Plaques Using the Macrophage-Specific CT Contrast Agent N1177: A Comparison with 18F-FDG PET/CT and Histology

Fabien Hyafil, Jean-Christophe Cornily, James H.F. Rudd, Josef Machac, Laurent J. Feldman and Zahi A. Fayad
Journal of Nuclear Medicine June 2009, 50 (6) 959-965; DOI: https://doi.org/10.2967/jnumed.108.060749
Fabien Hyafil
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jean-Christophe Cornily
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
James H.F. Rudd
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Josef Machac
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laurent J. Feldman
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Zahi A. Fayad
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Macrophages play a key role in atherosclerotic plaque rupture. The iodine-based contrast agent N1177 accumulates in macrophages, allowing for their detection with CT. In this study, we tested whether the intensity of enhancement detected with CT in the aortic wall of rabbits injected with N1177 correlated with inflammatory activity evaluated with 18F-FDG PET/CT and macrophage density on histology. Methods: Atherosclerotic plaques were induced in the aorta of New Zealand White rabbits (n = 7) by a repeated balloon injury (4 wk apart) and 4 mo of hyperlipemic diet. Noninjured rabbits, fed a chow diet, were used as controls (n = 3). A CT scan of the aorta (n = 10) was acquired in each rabbit before, during, and at 2 h after intravenous injection of N1177 (250 mg of iodine/kg). One week later, the same rabbits underwent PET/CT 3 h after injection of 18F-FDG (37 MBq/kg [1 mCi/kg]). CT enhancement was calculated as the difference in aortic wall densities between images obtained before and images obtained at 2 h after injection of N1177. Mean standardized uptake values were measured on PET axial slices of the aorta in regions of interest encompassing the vessel wall. Macrophage density was measured by immunohistology (anti-RAM-11 antibody) on corresponding aortic cross-sections. Results: N1177-enhanced CT measured stronger enhancement in the aortic wall of atherosclerotic rabbits than in control rabbits (10.0 ± 5.2 vs. 2.0 ± 2.1 Hounsfield units, respectively; P < 0.05). After the injection of 18F-FDG, PET detected higher standardized uptake values in the aortic wall of atherosclerotic rabbits than in control rabbits (0.61 ± 0.12 vs. 0.21 ± 0.02; P < 0.05). The intensity of enhancement in the aortic wall measured with CT after injection of N1177 correlated with 18F-FDG uptake on PET/CT (r = 0.61, P < 0.001) and macrophage density on immunohistology (r = 0.63, P < 0.001). Conclusion: The intensity of enhancement detected with CT in the aortic wall of rabbits injected with N1177 correlates with intense uptake of 18F-FDG measured with PET and with macrophage density on histology, suggesting a role for N1177 in noninvasive identification of high-risk atherosclerotic plaques with CT.

  • atherosclerosis
  • computed tomography
  • contrast agents
  • macrophages
  • positron emission tomography

Acute coronary syndromes in about two thirds of patients are caused by the disruption of the fibrous cap in so-called high-risk or vulnerable atherosclerotic plaques (1). Sudden exposure of the underlying necrotic core to blood triggers the formation of a thrombus, which can occlude the coronary artery, leading to myocardial necrosis (2). High-risk atherosclerotic plaques are characterized by their specific cellular and biologic composition rather than by their impact on the vessel lumen (3). Common characteristics of high-risk plaques (4) are a large necrotic core, an overlying fibrous cap measuring less than 65 μm thick, strong macrophage infiltration, and positive remodeling (i.e., development of the plaque toward the external part of the artery). Macrophages play a key role in acute plaque destabilization and thrombus formation; they secrete proteases that digest the extracellular matrix and weaken the protective fibrous cap covering the atheromatous core and release in atherosclerotic plaques large amounts of tissue factor that accelerates thrombus formation after plaque rupture (5). Moreover, macrophage density measured by immunohistology was found to be higher in atherosclerotic plaques obtained from patients with recent acute coronary syndromes than in plaques obtained from patients with stable cardiovascular disease (6). Therefore, detection of high-risk plaques using noninvasive imaging could help to identify patients susceptible to plaque rupture and reduce the rate of acute coronary syndromes by early implementation of therapies aimed at plaque stabilization (7).

PET with 18F-FDG is currently one of the most promising imaging modalities for the detection of inflammatory cells in atherosclerotic plaques (8). 18F-FDG competes with glucose for uptake into metabolically active cells, including macrophages in atherosclerotic plaques, and becomes trapped inside cells after phosphorylation. Accumulation of 18F-FDG in carotid atherosclerotic plaques strongly correlates with the intensity of macrophage infiltration on histology (9). Similar relationships between 18F-FDG signal and histology have also been found in the rabbit model of atherosclerosis (10–12). In addition, symptomatic patients (i.e., those patients with a recent ischemic cerebral event), compared with asymptomatic patients, showed a significantly higher 18F-FDG uptake in carotid plaques (13). However, evaluation of coronary atherosclerotic plaques with 18F-FDG is hampered by the low spatial resolution of PET, cardiac and respiratory motion, and intense 18F-FDG uptake by normal myocardium in about half of the patients (14).

In contrast, multidetector CT (MDCT) offers high spatial and temporal resolution, allowing the detection of atherosclerotic plaques in coronary arteries. Some major characteristics of high-risk plaques, such as large volume (15), positive remodeling (16), and absence of or moderate calcifications, can be identified in the coronary arteries using MDCT combined with the intravenous injection of a bolus of small iodinated molecules. However, densities and volumes of plaques measured with MDCT are hampered by a low reproducibility of the measurements related to, among other factors, the strong influence and high variability of nearby luminal enhancement (17,18). In addition, MDCT cannot evaluate the presence or activity of inflammatory cells in atherosclerotic plaques.

In a recently published study (19), we described the CT contrast agent N1177, composed of iodinated nanoparticles dispersed with surfactant. We showed that N1177 given intravenously to rabbits accumulates in macrophages within atherosclerotic plaques 2 h after injection, allowing for identification of these cells with CT. In this study, we tested whether the intensity of enhancement detected with CT in the aortic wall of atherosclerotic rabbits 2 h after injection of N1177 correlated with inflammatory activity evaluated with 18F-FDG PET and macrophage density measured on immunohistology of corresponding sections.

MATERIALS AND METHODS

Animal Model

Aortic atherosclerotic plaques were induced in male New Zealand White rabbits (n = 7; mean age, 4 mo; mean weight, 3.1 ± 0.2 kg) (Covance) by a combination of 4 mo of a high-cholesterol diet (4.7% palm oil and 0.3% cholesterol-enriched diet; Research Diet Inc.) and repeated balloon injury of the aorta (2 and 6 wk after the start of the high-cholesterol diet). Aortic injury was performed from the aortic arch to the iliac bifurcation with a 4-French Fogarty embolectomy catheter (Edwards Lifesciences) introduced through the femoral artery. All procedures were performed under general anesthesia induced by an intramuscular injection of ketamine (20 mg/kg; Fort Dodge Animal Health) and xylazine (10 mg/kg; Bayer Corp.). Noninjured New Zealand White rabbits, fed a normal chow diet, were used as controls (n = 3). All experiments were approved by the Mount Sinai School of Medicine Institute Animal Care and Use Committee.

CT Protocol

After anesthesia induced by an intramuscular injection of ketamine (20 mg/kg), xylazine (10 mg/kg), and acepromazine (0.5 mg/kg) and placement of a 22-gauge catheter in the marginal ear vein, rabbits were imaged before, during, and at 2 h (as optimized previously in a study by Hyafil et al. (19)) after the intravenous injection of N1177 (generously provided by Nanoscan Imaging), at a dose equivalent to 250 mg of iodine per kilogram of body weight. Images were acquired using a 64-slice multidetector CT scanner (Sensation 64; Siemens Medical Solutions). Parameters for CT acquisitions were adapted from a clinical protocol used for coronary imaging (except for electrocardiogram gating and current intensity) as follows: tube voltage, 120 kV; current intensity, 180 mA; rotation time, 330 ms; detector collimation, 32 × 0.6 mm; and table feed, 15 mm/rotation. In-plane resolution of this CT protocol was estimated at 0.4 × 0.4 mm. Axial slices (0.4 mm thick) were reconstructed on the scanner with a 30f medium-smooth kernel. The field of view was 100 × 100 mm, and the data were acquired in a 512 × 512 data matrix, giving a pixel size of 0.2 × 0.2 mm.

PET

One week after CT, the same rabbits were imaged using a combined PET/CT scanner (Discovery LS; GE Healthcare). PET images were acquired for 10 min, 3 h after intravenous injection of 18F-FDG (37 MBq [1 mCi/kg]) (to lower blood 18F-FDG activity). Because preliminary studies and published data (11) demonstrated better aorta image quality with 3-dimensional versus 2-dimensional acquisition, images were acquired in 3-dimensional mode. The acquisition covered the area from the diaphragm to the aortic bifurcation. The field of view was 15 × 15 cm, with a 256 × 256 data matrix, giving an in-plane spatial resolution of 5 × 5 mm. Three-dimensional reconstructions were performed with a 512 × 512 × 512 data matrix, giving a final voxel size of 2.5 × 2.5 × 2.5 mm. In addition to a PET scan, a non–contrast-enhanced CT scan was obtained in each rabbit using the 16-slice PET/CT machine. Axial slices (0.4 mm thick) were reconstructed on the scanner with a 30f medium-smooth kernel. The field of view was 100 × 100 mm, and the data were acquired in a 512 × 512 data matrix, giving a pixel size of 0.2 × 0.2 mm.

Image Analysis

For CT image analysis, densities of the aortic wall were evaluated every 5 mm on axial CT slices of the abdominal aorta of rabbits (n = 10). A series of axial slices (n = 18) was matched, using the vertebrae as landmarks. After delineation of the aortic lumen, 12 circular regions of interest (ROIs) of 12 pixels each, adjacent to the lumen, were placed on the CT scan acquired during the injection of contrast agent. Densities were measured in the same ROIs in the CT scans acquired before and at 2 h after the injection of each contrast agent, using a dedicated workstation (Leonardo; Siemens Medical Solutions). Results were expressed in Hounsfield units (HUs) as the average enhancement in each slice of abdominal aortic segment. For comparison with PET/CT, abdominal aortas were divided into proximal, mid, and distal regions of equal length (30 mm). All CT measurements were performed by an independent operator unaware of the results of PET and immunohistology.

For PET analysis, acquisition data were reconstructed using the Fourier rebinning–iterative algorithm and displayed in 3 orthogonal planes. Average standardized uptake values (SUVs) were recorded on contiguous 5-mm-thick axial slices of aorta (n = 18) from circular ROIs encompassing the vessel wall. No corrections were made for blood signal because previous work (11) had demonstrated that blood activity was minimal at the imaging time point (3 h after 18F-FDG injection). Results were expressed as the average SUV in each aortic region. All PET measurements were performed by an independent operator unaware of the results of both CT and immunohistology.

To study the correlations between the results obtained with N1177-enhanced CT and PET, the scans were matched using the vertebrae as landmarks. PET SUVs were measured in the corresponding 30-mm-long aortic segments analyzed by N1177-enhanced CT.

Immunohistology

After PET, rabbits were euthanized by an intravenous injection of sodium pentobarbital (120 mg/kg) (Sleepaway; Fort Dodge Animal Health). A bolus of heparin was injected before euthanasia to prevent clot formation. Aortas were excised, fixed for 24 h in 4% paraformaldehyde, and embedded in paraffin. Slices (5 μm thick) were sectioned and matched to CT axial slices as previously described (20). Macrophages were detected on adjacent slices by immunohistochemistry using a monoclonal mouse antibody directed against RAM-11, a marker of rabbit macrophage cytoplasm (dilution, 1:50) (Dako), as previously described (20). The luminal area and the area bounded by the internal elastic laminae were measured on each arterial cross-section using the Image-Pro Plus software (Media Cybernetics) and served to compute intimal area. The total macrophage-rich (RAM-11-positive) area was measured digitally using an automated, contrast-based, area analysis function of the Image-Pro Plus software. Macrophage density was calculated as the ratio between macrophage and intimal areas.

Statistical Analysis

Numeric values are expressed as mean ± SE. Values of P less than 0.05 were considered significant. Statistical analysis was conducted with SPSS software (SPSS Inc.). The enhancement detected with N1177 CT and the SUV measured with 18F-FDG PET in atherosclerotic and control rabbits were compared using a 2-tailed Student t test. Correlations were performed using Pearson testing.

RESULTS

Atherosclerotic Versus Control Rabbits

Two hours after injection of N1177, the density of the aortic wall (Fig. 1) measured with CT was higher in atherosclerotic rabbits than in control rabbits, compared with preinjection values (31.5 ± 3.5 vs. 21.5 ± 1.8 HUs and 20.4 ± 1.5 vs. 18.4 ± 0.5 HUs, respectively). In addition, N1177-enhanced CT measured stronger enhancement in the aortic wall of atherosclerotic rabbits than in control rabbits (10.0 ± 5.2 vs. 2.0 ± 2.1 HUs, respectively; P < 0.05). Similarly, at 3 h after the injection of 18F-FDG, PET detected higher SUVs in the aortic wall of atherosclerotic rabbits than in control rabbits (0.61 ± 0.12 vs. 0.21 ± 0.02, respectively; P < 0.05).

FIGURE 1. 
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 1. 

Comparison of N1177-enhanced CT and 18F-FDG PET in atherosclerotic vs. control rabbits. (A) Stronger enhancement was measured with CT in aortic wall of atherosclerotic rabbits than in control rabbits at 2 h after injection of N1177. (B) Similarly, higher SUVs were detected with PET in aortic wall of atherosclerotic rabbits than in control rabbits at 3 h after injection of 18F-FDG. *P < 0.05. inj. = injection.

Correlation Between N1177-Enhanced CT and 18F-FDG PET

In the same rabbit, detection of strong enhancement in the aortic wall at 2 h after the injection of N1177 with CT was associated with areas of high activity 3 h after the injection of 18F-FDG with PET (Fig. 2). We found a good correlation (Fig. 3) between the intensity of enhancement in the aortic wall detected with N1177-enhanced CT and SUV measured with PET at 3 h after the injection of 18F-FDG (r = 0.61, P < 0.001).

FIGURE 2. 
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 2. 

N1177-enhanced CT and corresponding 18F-FDG PET of aorta from atherosclerotic rabbit. Fused PET/CT coronal view of aorta obtained at 3 h after injection of 18F-FDG (A) and corresponding axial aortic sections acquired before (B and D) and at 2 h after injection of N1177 (C and E). In same rabbit, aortic regions with high (A; red cross) and low (A; blue cross) activities identified with PET at 3 h after injection of 18F-FDG were associated with strong (E; red cross) and weak (C; blue cross) intensities of enhancement detected with CT at 2 h after injection of N1177 on corresponding axial views, respectively.

FIGURE 3. 
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 3. 

Correlation between N1177-enhanced CT and 18F-FDG PET. Correlation (r = 0.61) between intensity of enhancement measured 2 h after injection of N1177 with CT and SUVs detected at 3 h after the injection of 18F-FDG with PET, in corresponding aortic segments from same rabbits.

Correlation Between N1177-Enhanced CT and Macrophage Density

Atherosclerotic plaques showing a strong enhancement with CT 2 h after injection of N1177 contained an intense macrophage infiltration on corresponding sections by immunohistology (Fig. 4). In addition, we found a good correlation (r = 0.63) between the intensity of enhancement measured in atherosclerotic plaques with N1177-enhanced CT and macrophage density evaluated on corresponding axial cross-sections by immunohistology (Fig. 5A). Both intensities of enhancement with N1177 CT and SUV measured with 18F-FDG PET demonstrated good correlations, with mean macrophage density detected in the arterial wall of corresponding 30-mm-long aortic regions (r = 0.68 and r = 0.57, respectively, with P < 0.001 for both; Figs. 5B and 5C).

FIGURE 4. 
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 4. 

Detection of macrophages in atherosclerotic plaques by immunohistochemistry. Axial slices with intense and low enhancement detected with N1177 CT (Figs. 2E and 2C, respectively) had strong (A) and weak (B) macrophage infiltration on corresponding axial cross-sections of atherosclerotic plaques by immunohistology. * = lumen. Bar width = 1 mm.

FIGURE 5. 
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 5. 

Correlation between N1177-enhanced CT and macrophage density. (A) Correlation between intensity of enhancement measured with CT 2 h after injection of N1177 and macrophage density on corresponding aortic cross-sections (r = 0.63). Correlations between macrophage densities measured in aortic regions and intensities of enhancement in HUs with N1177 CT (B) and SUVs with 18F-FDG PET (C).

DISCUSSION

In this study, we demonstrated that the intensity of enhancement detected with CT in the aortic wall of rabbits at 2 h after the injection of N1177 correlates with an elevated metabolic activity measured using 18F-FDG PET and with an intense macrophage infiltration on corresponding sections with immunohistology.

Several noninvasive imaging techniques have been described for macrophage detection in atherosclerotic plaques. For example, ultrasmall superparamagnetic particles of iron oxide (USPIO) are taken up by macrophages, causing strong T2*-shortening effects (20,21) that can be detected as signal voids using MRI. In carotid atherosclerotic plaques (22,23), focal signal voids can be detected on MRI after the injection of USPIO, localized to the macrophage-rich regions that accumulated iron particles on histology. However, precise quantification of USPIO accumulation in macrophages using MRI is limited by concomitant T1-shortening effects caused by nonspecific accumulation of USPIO in plaques (24) and T2*-effects related to plaque hemorrhage and calcifications (25). Additional inaccuracies may arise when attempts are made to distinguish the negative contrast due to USPIO accumulation from that secondary to vessel calcification or inherent image artifacts, although positive contrast methods such as gradient echo acquisition for superparamagnetic particles/susceptibility may help the image interpretation (26). In recent work (27), a radiotracer was bound to iron oxide nanoparticles to quantify the accumulation of these particles using PET. Indeed, Nahrendorf et al. (27) demonstrated a strong correlation between the activity measured with PET and macrophage content in corresponding sections of atherosclerotic plaques. However, high spatial and temporal imaging resolutions required for imaging the arterial wall of coronary arteries are currently achievable neither with PET nor with MRI but are available with clinical MDCT. In addition, the optimal imaging time after the injection of iron oxide nanoparticles may be up to 72 h (23), which clearly limits the practical use of this technique as a screening tool.

In contrast, CT offers detection of macrophage-rich lesions as early as 2 h after the intravenous injection of N1177 with a spatial resolution that permits the evaluation of coronary atherosclerotic plaques. Quantification of N1177 accumulation in atherosclerotic plaques is facilitated by the linear relationship existing between iodine concentration in tissue and signal increase measured with CT. In addition, detection of macrophages with N1177 could be associated with other CT markers identified in ruptured plaques such as areas of low densities, positive remodeling, and absence of calcifications, enhancing the potential of CT to identify high-risk plaques (28,29). N1177 CT will, however, need to overcome some important issues before clinical application to imaging inflammation in coronary atherosclerotic plaques is considered. First, additional studies are currently being performed to confirm the tolerability of N1177 at the dose used in this study. Second, changes in plaque density detected with N1177 CT in the aorta of atherosclerotic rabbits were small and could be difficult to detect in human coronary arteries subject to cardiac and respiratory motion. In fact, the technique used in this study to measure plaque enhancement with N1177 CT (averaging 12 ROIs adjacent to the aortic lumen) offered a good reproducibility of the measurements but clearly underestimated focal enhancement, which could reach up to 40 HUs in some areas of atherosclerotic plaques. Third, whether high CT densities from accumulation of N1177 could be discriminated from those due to plaque calcifications in humans needs to be determined. The development of dual-energy x-ray beam technology (30,31), based on simultaneous CT acquisitions using 2 beams at different energy levels, may help to discriminate between radiographic absorption properties of iodine and calcium in atherosclerotic plaques.

18F-FDG enters into cells through glucose transporter proteins, which are overexpressed in cells with high metabolic activities. A previous study (8) demonstrated by ex vivo autoradiography that 18F-FDG accumulated predominantly in macrophages in atherosclerotic plaques. Because activation of macrophages stimulates metabolic activity (32), 18F-FDG uptake measured in atherosclerotic plaques reflects both macrophage density and activity. In contrast, similar to iron oxide nanoparticles, N1177 accumulates in plaques through phagocytosis by macrophages (19). Interestingly, a strong correlation was observed between USPIO and 18F-FDG uptake in human carotid plaques imaged using MRI and PET, respectively (33). Therefore, the good correlation found in this study between N1177 and 18F-FDG accumulation in the aortic wall can be explained by similar macrophage densities but may also indicate that the intensity of phagocytosis and metabolic activity are closely associated in activated macrophages. Together, this study suggests that the intensity of enhancement measured with N1177 CT correlates both with macrophage density and with activity in atherosclerotic plaques. However, some discrepancies were also found in this study between signal measured on the aortic wall with N1177 CT and 18F-FDG PET and may be at least partly explained by accumulation of 18F-FDG in cells other than macrophages present in atherosclerotic plaques such as endothelial cells (34) and lymphocytes (35).

This study has a few limitations. First, we compared the signal obtained in 0.4-mm-thick axial CT slices with macrophage density measured on 4-μm-thick sections by immunohistology. Therefore, to provide a second means of validation, the results of N1177-enhanced CT were compared with the activity measured in vivo in the same rabbits using 18F-FDG PET, as a surrogate for macrophage infiltration. In addition, the use of a combined PET/CT system allowed for an optimal matching between both imaging modalities. A second limitation is that CT, compared with other techniques such as MRI, requires radiation. Exposure to radiations could be a concern for patient imaging, particularly in the case of repeated studies, or if CT is used for the screening for vulnerable plaque. However, future technologic developments in CT scanners could help to overcome these current limitations. The use of highly efficient flat-panel detectors (36), tube current modulation, and prospective cardiac gating may allow a decrease in radiation exposure. Finally, the results obtained in an experimental model of atherosclerosis need to be validated in human complex atherosclerotic plaques.

CONCLUSION

We demonstrated in this study that the intensity of enhancement detected in the aortic wall of rabbits using N1177-enhanced CT strongly correlated with a high metabolic activity evaluated using 18F-FDG PET, with an intense macrophage infiltration on corresponding sections with immunohistology. N1177-enhanced CT represents a promising imaging modality for the noninvasive detection of macrophages in coronary atherosclerotic plaques. The identification of macrophages could be an important adjunct to morphologic markers for the detection of high-risk atherosclerotic plaques using CT.

Acknowledgments

We thank Ash Rafique for his assistance in obtaining the PET/CT scans. Partial support was provided by NIH/NHLBI R01 HL71021 and NIH/NHLBI HL78667. This work was also supported in part by grants from the Federation Française de Cardiologie, the British Heart Foundation, and the NIHR Cambridge Biomedical Research Centre.

Footnotes

  • COPYRIGHT © 2009 by the Society of Nuclear Medicine, Inc.

References

  1. 1.↵
    Virmani R, Burke AP, Farb A, Kolodgie FD. Pathology of the vulnerable plaque. J Am Coll Cardiol. 2006;47(8, suppl):C13–C18.
    OpenUrlCrossRefPubMed
  2. 2.↵
    Libby P. Current concepts of the pathogenesis of the acute coronary syndromes. Circulation. 2001;104:365–372.
    OpenUrlFREE Full Text
  3. 3.↵
    Topol EJ, Nissen SE. Our preoccupation with coronary luminology: the dissociation between clinical and angiographic findings in ischemic heart disease. Circulation. 1995;92:2333–2342.
    OpenUrlAbstract/FREE Full Text
  4. 4.↵
    Fuster V, Moreno PR, Fayad ZA, Corti R, Badimon JJ. Atherothrombosis and high-risk plaque: part I—evolving concepts. J Am Coll Cardiol. 2005;46:937–954.
    OpenUrlCrossRefPubMed
  5. 5.↵
    Libby P. Inflammation in atherosclerosis. Nature. 2002;420:868–874.
    OpenUrlCrossRefPubMed
  6. 6.↵
    Mauriello A, Sangiorgi G, Fratoni S, et al. Diffuse and active inflammation occurs in both vulnerable and stable plaques of the entire coronary tree: a histopathologic study of patients dying of acute myocardial infarction. J Am Coll Cardiol. 2005;45:1585–1593.
    OpenUrlCrossRefPubMed
  7. 7.↵
    Fuster V, Fayad ZA, Moreno PR, Poon M, Corti R, Badimon JJ. Atherothrombosis and high-risk plaque: part II—approaches by noninvasive computed tomographic/magnetic resonance imaging. J Am Coll Cardiol. 2005;46:1209–1218.
    OpenUrlCrossRefPubMed
  8. 8.↵
    Rudd JH, Warburton EA, Fryer TD, et al. Imaging atherosclerotic plaque inflammation with [18F]-fluorodeoxyglucose positron emission tomography. Circulation. 2002;105:2708–2711.
    OpenUrlAbstract/FREE Full Text
  9. 9.↵
    Tawakol A, Migrino RQ, Bashian GG, et al. In vivo 18F-fluorodeoxyglucose positron emission tomography imaging provides a noninvasive measure of carotid plaque inflammation in patients. J Am Coll Cardiol. 2006;48:1818–1824.
    OpenUrlCrossRefPubMed
  10. 10.↵
    Ogawa M, Ishino S, Mukai T, et al. 18F-FDG accumulation in atherosclerotic plaques: immunohistochemical and PET imaging study. J Nucl Med. 2004;45:1245–1250.
    OpenUrlAbstract/FREE Full Text
  11. 11.↵
    Tawakol A, Migrino RQ, Hoffmann U, et al. Noninvasive in vivo measurement of vascular inflammation with F-18 fluorodeoxyglucose positron emission tomography. J Nucl Cardiol. 2005;12:294–301.
    OpenUrlCrossRefPubMed
  12. 12.↵
    Zhang Z, Machac J, Helft G, et al. Non-invasive imaging of atherosclerotic plaque macrophage in a rabbit model with F-18 FDG PET: a histopathological correlation. BMC Nucl Med. 2006;6:3.
    OpenUrlCrossRefPubMed
  13. 13.↵
    Davies JR, Rudd JH, Fryer TD, et al. Identification of culprit lesions after transient ischemic attack by combined 18F fluorodeoxyglucose positron-emission tomography and high-resolution magnetic resonance imaging. Stroke. 2005;36:2642–2647.
    OpenUrlAbstract/FREE Full Text
  14. 14.↵
    Dunphy MP, Freiman A, Larson SM, Strauss HW. Association of vascular 18F-FDG uptake with vascular calcification. J Nucl Med. 2005;46:1278–1284.
    OpenUrlAbstract/FREE Full Text
  15. 15.↵
    Achenbach S, Moselewski F, Ropers D, et al. Detection of calcified and noncalcified coronary atherosclerotic plaque by contrast-enhanced, submillimeter multidetector spiral computed tomography: a segment-based comparison with intravascular ultrasound. Circulation. 2004;109:14–17.
    OpenUrlAbstract/FREE Full Text
  16. 16.↵
    Achenbach S, Ropers D, Hoffmann U, et al. Assessment of coronary remodeling in stenotic and nonstenotic coronary atherosclerotic lesions by multidetector spiral computed tomography. J Am Coll Cardiol. 2004;43:842–847.
    OpenUrlCrossRefPubMed
  17. 17.↵
    Pohle K, Achenbach S, MacNeill B, et al. Characterization of non-calcified coronary atherosclerotic plaque by multi-detector row CT: comparison to IVUS. Atherosclerosis. 2007;190:174–180.
    OpenUrlCrossRefPubMed
  18. 18.↵
    Leber AW, Knez A, von Ziegler F, et al. Quantification of obstructive and nonobstructive coronary lesions by 64-slice computed tomography: a comparative study with quantitative coronary angiography and intravascular ultrasound. J Am Coll Cardiol. 2005;46:147–154.
    OpenUrlCrossRefPubMed
  19. 19.↵
    Hyafil F, Cornily JC, Feig JE, et al. Noninvasive detection of macrophages using a nanoparticulate contrast agent for computed tomography. Nat Med. 2007;13:636–641.
    OpenUrlCrossRefPubMed
  20. 20.↵
    Hyafil F, Laissy JP, Mazighi M, et al. Ferumoxtran-10-enhanced MRI of the hypercholesterolemic rabbit aorta: relationship between signal loss and macrophage infiltration. Arterioscler Thromb Vasc Biol. 2006;26:176–181.
    OpenUrlAbstract/FREE Full Text
  21. 21.↵
    Ruehm SG, Corot C, Vogt P, Kolb S, Debatin JF. Magnetic resonance imaging of atherosclerotic plaque with ultrasmall superparamagnetic particles of iron oxide in hyperlipidemic rabbits. Circulation. 2001;103:415–422.
    OpenUrlAbstract/FREE Full Text
  22. 22.↵
    Kooi ME, Cappendijk VC, Cleutjens KB, et al. Accumulation of ultrasmall superparamagnetic particles of iron oxide in human atherosclerotic plaques can be detected by in vivo magnetic resonance imaging. Circulation. 2003;107:2453–2458.
    OpenUrlAbstract/FREE Full Text
  23. 23.↵
    Trivedi RA, U-King-Im JM, Graves MJ, et al. In vivo detection of macrophages in human carotid atheroma: temporal dependence of ultrasmall superparamagnetic particles of iron oxide-enhanced MRI. Stroke. 2004;35:1631–1635.
    OpenUrlAbstract/FREE Full Text
  24. 24.↵
    Trivedi RA, Mallawarachi C, U-King-Im JM, et al. Identifying inflamed carotid plaques using in vivo USPIO-enhanced MR imaging to label plaque macrophages. Arterioscler Thromb Vasc Biol. 2006;26:1601–1606.
    OpenUrlAbstract/FREE Full Text
  25. 25.↵
    Yuan C, Mitsumori LM, Ferguson MS, et al. In vivo accuracy of multispectral magnetic resonance imaging for identifying lipid-rich necrotic cores and intraplaque hemorrhage in advanced human carotid plaques. Circulation. 2001;104:2051–2056.
    OpenUrlAbstract/FREE Full Text
  26. 26.↵
    Briley-Saebo KC, Mulder WJ, Mani V, et al. Magnetic resonance imaging of vulnerable atherosclerotic plaques: current imaging strategies and molecular imaging probes. J Magn Reson Imaging. 2007;26:460–479.
    OpenUrlCrossRefPubMed
  27. 27.↵
    Nahrendorf M, Zhang H, Hembrador S, et al. Nanoparticle PET-CT imaging of macrophages in inflammatory atherosclerosis. Circulation. 2008;117:379–387.
    OpenUrlAbstract/FREE Full Text
  28. 28.↵
    Motoyama S, Kondo T, Sarai M, et al. Multislice computed tomographic characteristics of coronary lesions in acute coronary syndromes. J Am Coll Cardiol. 2007;50:319–326.
    OpenUrlCrossRefPubMed
  29. 29.↵
    Leber A, von Ziegler F, Becker A, et al. Characteristics of coronary plaques before angiographic progression determined by multi-slice CT. Int J Cardiovasc Imaging. 2008;24:423–428.
    OpenUrlCrossRefPubMed
  30. 30.↵
    Flohr TG, McCollough CH, Bruder H, et al. First performance evaluation of a dual-source CT (DSCT) system. Eur Radiol. 2006;16:256–268.
    OpenUrlCrossRefPubMed
  31. 31.↵
    Boll DT, Hoffmann MH, Huber N, Bossert AS, Aschoff AJ, Fleiter TR. Spectral coronary multidetector computed tomography angiography: dual benefit by facilitating plaque characterization and enhancing lumen depiction. J Comput Assist Tomogr. 2006;30:804–811.
    OpenUrlCrossRefPubMed
  32. 32.↵
    Deichen JT, Prante O, Gack M, Schmiedehausen K, Kuwert T. Uptake of [18F]fluorodeoxyglucose in human monocyte-macrophages in vitro. Eur J Nucl Med Mol Imaging. 2003;30:267–273.
    OpenUrlCrossRefPubMed
  33. 33.↵
    Tang TY, Moustafa RR, Howarth SP, et al. Combined PET-FDG and USPIO-enhanced MR imaging in patients with symptomatic moderate carotid artery stenosis. Eur J Vasc Endovasc Surg. 2008;36:53–55.
    OpenUrlCrossRefPubMed
  34. 34.↵
    Maschauer S, Prante O, Hoffmann M, Deichen JT, Kuwert T. Characterization of 18F-FDG uptake in human endothelial cells in vitro. J Nucl Med. 2004;45:455–460.
    OpenUrlAbstract/FREE Full Text
  35. 35.↵
    Ishimori T, Saga T, Mamede M, et al. Increased 18F-FDG uptake in a model of inflammation: concanavalin A-mediated lymphocyte activation. J Nucl Med. 2002;43:658–663.
    OpenUrlAbstract/FREE Full Text
  36. 36.↵
    Gupta R, Grasruck M, Suess C, et al. Ultra-high resolution flat-panel volume CT: fundamental principles, design architecture, and system characterization. Eur Radiol. 2006;16:1191–1205.
    OpenUrlCrossRefPubMed
  • Received for publication December 2, 2008.
  • Accepted for publication February 27, 2009.
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 50 (6)
Journal of Nuclear Medicine
Vol. 50, Issue 6
June 2009
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Quantification of Inflammation Within Rabbit Atherosclerotic Plaques Using the Macrophage-Specific CT Contrast Agent N1177: A Comparison with 18F-FDG PET/CT and Histology
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
Quantification of Inflammation Within Rabbit Atherosclerotic Plaques Using the Macrophage-Specific CT Contrast Agent N1177: A Comparison with 18F-FDG PET/CT and Histology
Fabien Hyafil, Jean-Christophe Cornily, James H.F. Rudd, Josef Machac, Laurent J. Feldman, Zahi A. Fayad
Journal of Nuclear Medicine Jun 2009, 50 (6) 959-965; DOI: 10.2967/jnumed.108.060749

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Quantification of Inflammation Within Rabbit Atherosclerotic Plaques Using the Macrophage-Specific CT Contrast Agent N1177: A Comparison with 18F-FDG PET/CT and Histology
Fabien Hyafil, Jean-Christophe Cornily, James H.F. Rudd, Josef Machac, Laurent J. Feldman, Zahi A. Fayad
Journal of Nuclear Medicine Jun 2009, 50 (6) 959-965; DOI: 10.2967/jnumed.108.060749
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • This Month in JNM
  • PubMed
  • Google Scholar

Cited By...

  • Imaging the Cytokine Receptor CXCR4 in Atherosclerotic Plaques with the Radiotracer 68Ga-Pentixafor for PET
  • New Applications of Cardiac Computed Tomography: Dual-Energy, Spectral, and Molecular CT Imaging
  • 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Enables the Detection of Recurrent Same-Site Deep Vein Thrombosis by Illuminating Recently Formed, Neutrophil-Rich Thrombus
  • Focal Arterial Inflammation Precedes Subsequent Calcification in the Same Location: A Longitudinal FDG-PET/CT Study
  • Dual-Energy Computed Tomography Imaging of Atherosclerotic Plaques in a Mouse Model Using a Liposomal-Iodine Nanoparticle Contrast Agent
  • Coronary Arterial 18F-FDG Uptake by Fusion of PET and Coronary CT Angiography at Sites of Percutaneous Stenting for Acute Myocardial Infarction and Stable Coronary Artery Disease
  • Pioglitazone Modulates Vascular Inflammation in Atherosclerotic Rabbits: Noninvasive Assessment With FDG-PET-CT and Dynamic Contrast-Enhanced MR Imaging
  • Plaque Rupture and Thrombosis Are Reduced by Lowering Cholesterol Levels and Crystallization With Ezetimibe and Are Correlated With Fluorodeoxyglucose Positron Emission Tomography
  • Correlation of Inflammation Assessed by 18F-FDG PET, Active Mineral Deposition Assessed by 18F-Fluoride PET, and Vascular Calcification in Atherosclerotic Plaque: A Dual-Tracer PET/CT Study
  • Imaging the Vulnerable Plaque
  • Report of the National Heart, Lung, and Blood Institute Working Group on the Translation of Cardiovascular Molecular Imaging
  • The Year in Molecular Imaging
  • Imaging Atherosclerotic Plaque Inflammation by Fluorodeoxyglucose With Positron Emission Tomography: Ready for Prime Time?
  • Google Scholar

More in this TOC Section

  • 11C-Methionine PET of Myocardial Inflammation in a Rat Model of Experimental Autoimmune Myocarditis
  • Counting Rate Characteristics and Image Distortion in Preclinical PET Imaging During Radiopharmaceutical Therapy
  • Design and Fabrication of Kidney Phantoms for Internal Radiation Dosimetry Using 3D Printing Technology
Show more Basic Science Investigations

Similar Articles

SNMMI

© 2025 SNMMI

Powered by HighWire