CLINICAL RESEARCH: CARDIAC IMAGING
18Fluorodeoxyglucose Positron Emission Tomography Imaging of Atherosclerotic Plaque Inflammation Is Highly ReproducibleImplications for Atherosclerosis Therapy Trials
James H.F. Rudd, MD, PhD*,1,*,
Kelly S. Myers, BS*,
Sameer Bansilal, MD ,
Josef Machac, MD ,
Ash Rafique, BS,
Michael Farkouh, MD, MSc,
Valentin Fuster, MD, PhD and
Zahi A. Fayad, PhD, FACC, FAHA*
* Imaging Science Laboratories, Mount Sinai School of Medicine, New York, New York
Cardiovascular Imaging Clinical Trials Unit, Mount Sinai School of Medicine, New York, New York
Division of Nuclear Medicine, Department of Radiology, Mount Sinai School of Medicine, New York, New York
The Zena and Michael A. Wiener Cardiovascular Institute and Marie-Josee and Henry R. Kravis Cardiovascular Health Center, Mount Sinai School of Medicine, New York, New York.
Manuscript received February 19, 2007;
revised manuscript received May 9, 2007,
accepted May 14, 2007.
* Reprint requests and correspondence: Dr. James H. F. Rudd, ACCI Level 3, Addenbrookes Hospital, Cambridge CB2 2QQ, United Kingdom. (Email: jhfr2{at}cam.ac.uk).
 |
Abstract
|
|---|
Objectives: This study tested the near-term reproducibility of 18fluorodeoxyglucose positron emission tomography (FDG-PET) imaging of atherosclerosis.
Background: It is known that FDG-PET can measure inflammation within the aorta, carotid, and vertebral arteries with histologic validation in humans and animal models of disease. By tracking changes in inflammation over time, PET could be used as a surrogate marker of antiatheroma drug efficacy. However, the short-term variability and reproducibility of the technique are unknown.
Methods: We imaged the carotid arteries and aorta in 11 subjects with FDG-PET/computed tomography twice, 14 days apart. We assessed interobserver and intraobserver agreement and interscan variability.
Results: Interscan plaque FDG variability over 2 weeks was very low; intraclass correlation coefficients (ICC) ranged between 0.79 and 0.92. Interobserver agreement was high across all territories imaged except aortic arch (ICC values from 0.90 to 0.97, arch 0.71). Intraobserver agreement was high, with ICC values between 0.93 and 0.98.
Conclusions: Spontaneous change in plaque FDG uptake is low over 2 weeks, with favorable inter- and intraobserver agreement. Power calculations suggest that drug studies using FDG-PET imaging would require few subjects compared with other imaging modalities. This study strengthens the case for FDG-PET as a noninvasive plaque imaging technique.
|
Abbreviations and Acronyms
| | CT = computed tomography | | FDG = 18fluorodeoxyglucose | | ICC = intraclass correlation coefficient | | MRI = magnetic resonance imaging | | PET = positron emission tomography | | ROI = region of interest | | SUV = standardized uptake value | | TBR = tissue-to-background ratio | | 2D = 2-dimensional | | 3D = 3-dimensional |
|
Atherosclerosis is a global epidemic and likely to become the leading cause of death worldwide by 2010. Clinical events attributable to plaque rupture are related to the level of plaque inflammation.
Nevertheless, several drugs are expected to improve the outlook over the next decade. Unfortunately, testing new treatments requires large trials with clinical end points. Therefore, drug developers need early markers of drug efficacy before beginning costly trials. The use of imaging for this role has been suggested (1).
18Fluorodeoxyglucose (FDG) positron emission tomography (PET) is firmly established in oncology for monitoring the response of tumors to treatment (2), and it was shown in 2002 (3) that FDG-PET imaging could image metabolic activity within carotid atherosclerosis as a marker of plaque inflammation. Others have expanded on this work by imaging the vertebral arteries (4) and aorta (5). Tawakol (6) showed a positive correlation between carotid plaque FDG uptake and macrophage content. Animal work (7) demonstrated that plaque inflammation can be reduced by probucol and quantified using FDG-PET. In the first human study of its kind (8), FDG-PET was used to monitor reduction in carotid plaque inflammation during statin therapy.
However, more information is still required. First, the near-term reproducibility of plaque PET/computed tomography (CT) imaging is unknown. Second, both interobserver and intraobserver agreements have not been tested. Finally, we need to define the mean and standard deviation of plaque FDG measurements in different vascular beds. This knowledge will allow the calculation of sample sizes for adequately powered drug studies.
We tested the interscan variability of FDG-PET imaging by scanning 11 subjects twice within 2 weeks and measuring the interobserver and intraobserver agreement of the technique.
|
Methods
|
|---|
Study population.
We recruited 11 subjects with established vascular disease or elevated Framingham risk scores from Mount Sinai Medical Center. Subjects gave written consent, and the study was approved by the local Institutional Review Board.
PET/CT imaging.
Subjects underwent 2 PET/CT scans 2 weeks apart (scan 1 and scan 2) on a GE (Milwaukee, Wisconsin) Lightspeed PET/CT scanner. Subjects with a prescan glucose level of  200 mg/dl were excluded. Fluorodeoxyglucose was injected, and patients rested for 90 min. Aortic imaging was performed first, with a CT scan for localization and attenuation correction. The aortic arch was the upper limit of the scan, which covered 3 bed positions in 2-dimensional (2D) mode for 10 min each. Next, subjects were placed into a head holder, and a single-bed position carotid PET scan was performed in 3-dimensional (3D) mode for 15 min. For carotid imaging, the scanner was found to perform best in 3D mode compared to 2D mode, giving images of greater uniformity, resolution, and sensitivity. However, when 3D-mode imaging of the aorta was attempted, significant signal dropout artifacts were sometimes noted, probably because of high FDG uptake in adjacent structures causing dead-time issues. Therefore, we reverted to 2D-mode aortic imaging.
Image analysis.
Image analysis was performed on a Xeleris workstation. The aorta was divided into ascending, arch, and descending segments using CT images. Arterial FDG uptake was quantified by drawing a region of interest (ROI) around each artery on every slice of the coregistered transaxial PET/CT images. Next, the arterial standardized uptake value (SUV) was calculated as the mean pixel activity within the ROI.
By averaging the SUV values for each artery slice, we derived a mean SUV value for the entire artery (arterial SUV). This was corrected for blood activity by division by the average blood SUV estimated from either the inferior vena cava or jugular vein to produce a blood-corrected artery SUV, known as the arterial tissue-to-background ratio (TBR) (6).
Testing intraobserver and interobserver agreement.
An experienced reader (J.R.) analyzed all studies (scan 1 and scan 2) in every subject. Additionally, intraobserver agreement was assessed. Scan 1 studies of all 11 subjects were read a second time by the same reader. To reduce recall bias, the second reading took place at least 1 month after the first reading. After a period of joint working on pilot images (not included in this study) to establish methods of analysis and recording, interobserver agreement was tested. All 11 patients’ first PET scans (scan 1) were independently read by another reader (K.M.). The studies were presented in a random order.
Statistical methods.
Continuous variables are expressed as mean ± SD. Paired 2-sided t tests were used to check for differences between mean values of continuous variables. In this study, corrections for multiple comparisons were not applied. The 95% normal ranges for TBR differences between scans 1 and 2 were estimated by doubling the standard deviation of the mean difference between the 2 scans (9). A p value of <5% was considered statistically significant.
Power analyses were based on a 2-sample unpaired t test (2-sided) and performed with 80% power and an alpha of 5%.
Intraclass correlation coefficients (ICC) (10) with 95% confidence intervals were calculated to test the interscan variability and also to assess interobserver and intraobserver agreement. An ICC value of 1 indicates perfect agreement, with random or systematic differences between the 2 measurements decreasing the value.
Bland-Altman plots were also used to assess interobserver, intraobserver, and interscan variability. Statistical analysis was performed using SPSS version 14 (SPSS Inc., Chicago, Illinois).
|
Results
|
|---|
Patient characteristics.
Eleven asymptomatic patients were imaged twice, 14 days apart. Mean age was 64.6 ± 7.3 years, and there were 4 women. All patients had atherosclerosis or elevated risk scores (2 previous transient ischemic attack, 8 coronary artery disease with prior revascularization, and 1 subject with prior myocardial infarction). Five subjects had type 2 diabetes.
Imaging parameters.
The FDG doses were similar across both scans (mean scan 1: 572 ± 54 MBq, mean scan 2: 592 ± 46 MBq, p = 0.27). Aortic imaging commenced 96.6 ± 12.3 min after injection and was not different between scans (mean scan 1: 95.7 ± 10.6 min, mean scan 2: 97.5 ± 14.3 min, p = 0.37). Similarly, mean start time for carotid imaging was 145.7 ± 16.1 min, with no significant difference between scans (148.0 ± 16.2 min and 143.5 ± 16.6 min, p = 0.52). No patient reported any symptom or medication change between scans.
Mean TBR values are given in Figure 1. The carotid arteries both had significantly higher TBR values than all aortic territories (scan 1 data: carotid vs. ascending aorta p < 0.05, vs. arch p < 0.005, vs. descending aorta p < 0.0005, and vs. abdominal aorta p < 0.001). There was no significant difference between the left and right carotid arteries (scan 1: left carotid TBR 1.55 ± 0.28, right carotid TBR 1.64 ± 0.25, p = 0.44). The carotid TBR values are used for sample size calculations in the discussion.
View larger version (28K):
[in this window]
[in a new window]
[Download PPT slide]
|
Figure 1 Mean TBR Values at First and Second Scan
Error bars indicate standard deviation. Little spontaneous change in tissue-to-background ratio (TBR) values between the two scans is noted. *p < 0.05 for the TBR of both left and right carotid artery compared with the TBR of all aortic regions. Abd = abdominal; Asc = ascending; Desc = descending.
|
|
Table 1
shows interscan variability data and gives mean TBR values for all arterial territories for scans 1 and 2, 2 weeks apart, along with the TBR differences and estimated 95% normal ranges for change. It is clear that there is very little spontaneous variation in FDG signal over 2 weeks. This is illustrated in Figure 2, with carotid and aortic images of 2 patients in whom little appreciable change in FDG uptake can be seen between scan 1 and scan 2.
View larger version (43K):
[in this window]
[in a new window]
[Download PPT slide]
|
Figure 2 Carotid and Aortic PET/CT Images Over 2 Weeks
(A) Axial images from scan 1 and 2 of one subject’s carotid artery. Computed tomography (CT) (left), positron emission tomography (PET) (middle), and fused PET/CT (right) with arrows indicating similar 18fluorodeoxyglucose (FDG) uptake in the right carotid artery at both time points. (B) Sagittal images from scan 1 and 2 of another subject’s aorta. CT (left), PET (middle), and fused PET/CT (right) with arrows indicating similar FDG uptake in the aortic arch and descending aorta at both time points.
|
|
Table 2
shows the ICCs, with 95% confidence intervals for interobserver, intraobserver, and interscan variability. All ICC values except 2 are >0.8 (an accepted marker of excellent agreement [10]), with generally narrow confidence intervals.
Bland-Altman plots demonstrated no evidence of either fixed or proportional bias. Figure 3
shows plots for the right carotid artery. Most of the data points fall within the narrow limits of agreement.
View larger version (10K):
[in this window]
[in a new window]
[Download PPT slide]
|
Figure 3 Bland-Altman Plots of Interobserver, Intraobserver, and Interscan Variability
(A) Interobserver, (B) intraobserver, and (C) interscan variability. The dashed line is the mean difference between the 2 scans, while the limits of agreement are drawn as solid lines (mean difference ± 2 SD). TBR = tissue-to-background ratio.
|
|
|
Discussion
|
|---|
We prospectively tested the reproducibility of FDG-PET inflammation imaging in atherosclerosis and showed high reproducibility over 2 weeks in the aorta and carotid arteries. Additionally, inter- and intraobserver agreement measurements are favorable, with the exception of the aortic arch. This territory had only moderate interobserver agreement, likely because of its complex geometry, making accurate placement of similar ROIs difficult for independent readers. We recommend using the carotid artery or ascending aorta in future studies; these areas had the best reproducibility and agreement statistics.
We provided mean and SD values for aorta and carotid TBR values. This information makes it possible to estimate subject numbers for drug trials. An illustration of sample sizes required at different levels of estimated drug effects is provided in Figure 4, based on right carotid TBR data from scan 1. As a result of low standard deviation values, PET imaging requires few subjects to show significant differences between groups. These estimates should be interpreted with caution, however, because they assume a perfect agreement between TBR signal change and underlying change in plaque inflammation, which may not be the case. Nevertheless, they do provide a framework for minimum sample sizes.
View larger version (11K):
[in this window]
[in a new window]
[Download PPT slide]
|
Figure 4 Sample Size Estimates Based on Drug Efficacy
The number of subjects needed in trials using 18fluorodeoxyglucose positron emission tomography is shown for several levels of drug effect.
|
|
We also measured the interscan TBR differences over 2 weeks and established normal ranges of TBR variability for each arterial territory (twice the standard deviation of the difference between scan 1 and scan 2); any change of TBR outside this limit after a therapeutic intervention may be interpreted as a drug effect. For example, in a hypothetical PET/CT trial of a novel anti-inflammatory atherosclerosis therapy, a change in mean TBR in the ascending aorta of 0.14 or more between scan 1 and scan 2 would occur by chance <5% of the time, and we could be 95% confident that it was occurring as a result of a drug effect.
Study limitations.
Some of the difference in TBR between carotid and aorta could be accounted for by the different scan acquisition times, although this effect is likely to be small because of the small absolute values of the TBR measurements.
Comparison with other techniques.
These PET reproducibility measurements compare well with other atherosclerosis imaging techniques such as magnetic resonance imaging (MRI) (11), intravascular ultrasound (12), and CT (13). Additionally, the high sensitivity of FDG-PET allows detection of small metabolic changes within plaque that occur before structural alterations can be detected by other modalities. For example, a recent study administered simvastatin 40 mg daily to reduce plaque inflammation and compared it with diet alone in oncology patients. We found that FDG-PET detected the positive effect of therapy within 3 months (8). However, using the same drug in a higher dose, another group imaged plaque area regression with MRI (14). These investigators were not able to see an effect by MRI until 12 months.
|
Conclusions
|
|---|
We have shown that FDG-PET meets 2 important criteria for serial atherosclerotic plaque imaging. First, spontaneous changes in plaque FDG uptake are low over 2 weeks. Second, interobserver agreement is excellent, meaning that longitudinal multicenter trials of drugs are now feasible.
|
Footnotes
|
|---|
This study is supported by the National Institutes of Health (grants R01 HL71021R01, R01 HL78667) and by an unrestricted research grant from GlaxoSmithKline.
1 Dr. Rudd is an International Fellowship holder from the British Heart Foundation. 
|
References
|
|---|
1. Choudhury RP, Fuster V, Fayad ZA. Molecular, cellular and functional imaging of atherothrombosis Nat Rev Drug Discov 2004;3:913-925.[CrossRef][Web of Science][Medline]2. Avril NE, Weber WA. Monitoring response to treatment in patients utilizing PET Radiol Clin North Am 2005;43:189-204.[CrossRef][Web of Science][Medline] 3. Rudd JHF, Warburton EA, Fryer TD, et al. Imaging atherosclerotic plaque inflammation with [18F]-fluorodeoxyglucose positron emission tomography Circulation 2002;105:2708-2711.[Abstract/Free Full Text] 4. 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.[Abstract/Free Full Text] 5. Dunphy MP, Freiman A, Larson SM, Strauss HW. Association of vascular 18F-FDG uptake with vascular calcification J Nucl Med 2005;46:1278-1284.[Abstract/Free Full Text] 6. 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.[Abstract/Free Full Text] 7. Ogawa M, Magata Y, Kato T, et al. Application of 18F-FDG-PET for monitoring the therapeutic effect of antiinflammatory drugs on stabilization of vulnerable atherosclerotic plaques J Nucl Med 2006;47:1845-1850.[Abstract/Free Full Text] 8. Tahara N, Kai H, Ishibashi M, et al. Simvastatin attenuates plaque inflammation: evaluation by fluorodeoxyglucose positron emission tomography J Am Coll Cardiol 2006;48:1825-1831.[Abstract/Free Full Text] 9. Weber WA, Ziegler SI, Thodtmann R, Hanauske AR, Schwaiger M. Reproducibility of metabolic measurements in malignant tumors using FDG-PET J Nucl Med 1999;40:1771-1777.[Abstract/Free Full Text] 10. Eliasziw M, Young SL, Woodbury MG, Fryday-Field K. Statistical methodology for the concurrent assessment of interrater and intrarater reliability: using goniometric measurements as an example Phys Ther 1994;74:777-788.[Abstract/Free Full Text] 11. Varghese A, Crowe LA, Mohiaddin RH, et al. Inter-study reproducibility of 3D volume selective fast spin echo sequence for quantifying carotid artery wall volume in asymptomatic subjects Atherosclerosis 2005;183:361-366.[CrossRef][Web of Science][Medline] 12. Hagenaars T, Gussenhoven EJ, van Essen JA, Seelen J, Honkoop J, van der Lugt A. Reproducibility of volumetric quantification in intravascular ultrasound images Ultrasound Med Biol 2000;26:367-374.[CrossRef][Web of Science][Medline] 13. Budoff MJ, Achenbach S, Blumenthal RS, et al. Assessment of coronary artery disease by cardiac computed tomography: a scientific statement from the American Heart Association Committee on Cardiovascular Imaging and Intervention, Council on Cardiovascular Radiology and Intervention, and Committee on Cardiac Imaging, Council on Clinical Cardiology Circulation 2006;114:1761-1791.[Free Full Text] 14. Corti R, Fuster V, Fayad ZA, et al. Effects of aggressive versus conventional lipid-lowering therapy by simvastatin on human atherosclerotic lesions: a prospective, randomized, double-blind trial with high-resolution magnetic resonance imaging J Am Coll Cardiol 2005;46:106-112.[Abstract/Free Full Text]
Related Article
-
Inside This Issue of JACC
J. Am. Coll. Cardiol. 2007 50: A31-A32.
[Full Text]
[PDF]
This article has been cited by other articles:
|
|
|
|
 
F. R. Joshi, A. C. Lindsay, D. R. Obaid, E. Falk, and J. H. F. Rudd
Non-invasive imaging of atherosclerosis
Eur Heart J Cardiovasc Imaging,
January 24, 2012;
(2012)
jer319v1.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
K. S. Myers, J. H. F. Rudd, E. P. Hailman, J. A. Bolognese, J. Burke, C. A. Pinto, M. Klimas, R. Hargreaves, H. M. Dansky, and Z. A. Fayad
Correlation Between Arterial FDG Uptake and Biomarkers in Peripheral Artery Disease
J. Am. Coll. Cardiol. Img.,
January 1, 2012;
5(1):
38 - 45.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
A. L. Figueroa, S. S. Subramanian, R. C. Cury, Q. A. Truong, J. A. Gardecki, G. J. Tearney, U. Hoffmann, T. J. Brady, and A. Tawakol
Distribution of Inflammation Within Carotid Atherosclerotic Plaques With High-Risk Morphological Features: A Comparison Between Positron Emission Tomography Activity, Plaque Morphology, and Histopathology
Circ Cardiovasc Imaging,
January 1, 2012;
5(1):
69 - 77.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
T. Derlin, C. R. Habermann, Z. Lengyel, J. D. Busch, C. Wisotzki, J. Mester, and L. Pavics
Feasibility of 11C-Acetate PET/CT for Imaging of Fatty Acid Synthesis in the Atherosclerotic Vessel Wall
J. Nucl. Med.,
December 1, 2011;
52(12):
1848 - 1854.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. Bucerius, R. Duivenvoorden, V. Mani, C. Moncrieff, J. H. F. Rudd, C. Calcagno, J. Machac, V. Fuster, M. E. Farkouh, and Z. A. Fayad
Prevalence and Risk Factors of Carotid Vessel Wall Inflammation in Coronary Artery Disease Patients: FDG-PET and CT Imaging Study
J. Am. Coll. Cardiol. Img.,
November 1, 2011;
4(11):
1195 - 1205.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
O. Gaemperli, J. Shalhoub, D. R. J. Owen, F. Lamare, S. Johansson, N. Fouladi, A. H. Davies, O. E. Rimoldi, and P. G. Camici
Imaging intraplaque inflammation in carotid atherosclerosis with 11C-PK11195 positron emission tomography/computed tomography
Eur. Heart J.,
September 19, 2011;
(2011)
ehr367v1.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
P. Stolzmann, S. Subramanian, A. Abdelbaky, P. Maurovich-Horvat, H. Scheffel, A. Tawakol, and U. Hoffmann
Complementary Value of Cardiac FDG PET and CT for the Characterization of Atherosclerotic Disease
RadioGraphics,
September 1, 2011;
31(5):
1255 - 1269.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
G. Marincheva-Savcheva, S. Subramanian, S. Qadir, A. Figueroa, Q. Truong, J. Vijayakumar, T. J. Brady, U. Hoffmann, and A. Tawakol
Imaging of the Aortic Valve Using Fluorodeoxyglucose Positron Emission Tomography: Increased Valvular Fluorodeoxyglucose Uptake in Aortic Stenosis
J. Am. Coll. Cardiol.,
June 21, 2011;
57(25):
2507 - 2515.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
D. Vancraeynest, A. Pasquet, V. Roelants, B. L. Gerber, and J.-L. J. Vanoverschelde
Imaging the Vulnerable Plaque
J. Am. Coll. Cardiol.,
May 17, 2011;
57(20):
1961 - 1979.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
H. Y. Choi, S. Kim, S. J. Yang, H. J. Yoo, J. A. Seo, S. G. Kim, N. H. Kim, S. H. Baik, D. S. Choi, and K. M. Choi
Association of Adiponectin, Resistin, and Vascular Inflammation: Analysis With 18F-Fluorodeoxyglucose Positron Emission Tomography
Arterioscler Thromb Vasc Biol,
April 1, 2011;
31(4):
944 - 949.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
K. M. Fifer, S. Qadir, S. Subramanian, J. Vijayakumar, A. L. Figueroa, Q. A. Truong, U. Hoffman, T. J. Brady, and A. Tawakol
Positron Emission Tomography Measurement of Periodontal 18F-Fluorodeoxyglucose Uptake Is Associated With Histologically Determined Carotid Plaque Inflammation
J. Am. Coll. Cardiol.,
February 22, 2011;
57(8):
971 - 976.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
I. Y. Chen and J. C. Wu
Cardiovascular Molecular Imaging: Focus on Clinical Translation
Circulation,
February 1, 2011;
123(4):
425 - 443.
[Full Text]
[PDF]
|
|
|
|
|
|
|
F. Pugliese, O. Gaemperli, A. R. Kinderlerer, F. Lamare, J. Shalhoub, A. H. Davies, O. E. Rimoldi, J. C. Mason, and P. G. Camici
Imaging of Vascular Inflammation With [11C]-PK11195 and Positron Emission Tomography/Computed Tomography Angiography
J. Am. Coll. Cardiol.,
August 17, 2010;
56(8):
653 - 661.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. H. F. Rudd, J. Narula, H. W. Strauss, R. Virmani, J. Machac, M. Klimas, N. Tahara, V. Fuster, E. A. Warburton, Z. A. Fayad, et al.
Imaging Atherosclerotic Plaque Inflammation by Fluorodeoxyglucose With Positron Emission Tomography: Ready for Prime Time?
J. Am. Coll. Cardiol.,
June 8, 2010;
55(23):
2527 - 2535.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
C. Reeps, J. Pelisek, R. A. Bundschuh, M. Gurdan, A. Zimmermann, S. Ockert, M. Dobritz, H. H. Eckstein, and M. Essler
Imaging of Acute and Chronic Aortic Dissection by 18F-FDG PET/CT
J. Nucl. Med.,
May 1, 2010;
51(5):
686 - 691.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. H. F. Rudd
The Role of 18F-FDG PET in Aortic Dissection
J. Nucl. Med.,
May 1, 2010;
51(5):
667 - 668.
[Full Text]
[PDF]
|
|
|
|
|
|
|
I. S. Rogers, K. Nasir, A. L. Figueroa, R. C. Cury, U. Hoffmann, D. A. Vermylen, T. J. Brady, and A. Tawakol
Feasibility of FDG Imaging of the Coronary Arteries: Comparison Between Acute Coronary Syndrome and Stable Angina
J. Am. Coll. Cardiol. Img.,
April 1, 2010;
3(4):
388 - 397.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
L. R. Peterson and R. J. Gropler
Radionuclide Imaging of Myocardial Metabolism
Circ Cardiovasc Imaging,
March 1, 2010;
3(2):
211 - 222.
[Full Text]
[PDF]
|
|
|
|
|
|
|
A. Rominger, T. Saam, E. Vogl, C. Ubleis, C. la Fougere, S. Forster, A. Haug, P. Cumming, M. F. Reiser, K. Nikolaou, et al.
In Vivo Imaging of Macrophage Activity in the Coronary Arteries Using 68Ga-DOTATATE PET/CT: Correlation with Coronary Calcium Burden and Risk Factors
J. Nucl. Med.,
February 1, 2010;
51(2):
193 - 197.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
A. Rominger, T. Saam, S. Wolpers, C. C. Cyran, M. Schmidt, S. Foerster, K. Nikolaou, M. F. Reiser, P. Bartenstein, and M. Hacker
18F-FDG PET/CT Identifies Patients at Risk for Future Vascular Events in an Otherwise Asymptomatic Cohort with Neoplastic Disease
J. Nucl. Med.,
October 1, 2009;
50(10):
1611 - 1620.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
F. K. Swirski, R. Weissleder, and M. J. Pittet
Heterogeneous In Vivo Behavior of Monocyte Subsets in Atherosclerosis
Arterioscler Thromb Vasc Biol,
October 1, 2009;
29(10):
1424 - 1432.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
R. P. Choudhury and E. A. Fisher
Molecular Imaging in Atherosclerosis, Thrombosis, and Vascular Inflammation
Arterioscler Thromb Vasc Biol,
July 1, 2009;
29(7):
983 - 991.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. H.F. Rudd, F. Hyafil, and Z. A. Fayad
Inflammation Imaging in Atherosclerosis
Arterioscler Thromb Vasc Biol,
July 1, 2009;
29(7):
1009 - 1016.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
R. M. Botnar
Coronary Plaque Characterization by T1-Weighted Cardiac Magnetic Resonance
J. Am. Coll. Cardiol. Img.,
June 1, 2009;
2(6):
729 - 730.
[Full Text]
[PDF]
|
|
|
|
|
|
|
L. J. Menezes, C. W. Kotze, B. F. Hutton, R. Endozo, J. C. Dickson, I. Cullum, S. W. Yusuf, P. J. Ell, and A. M. Groves
Vascular Inflammation Imaging with 18F-FDG PET/CT: When to Image?
J. Nucl. Med.,
June 1, 2009;
50(6):
854 - 857.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. J. Fox and H. W. Strauss
One Step Closer to Imaging Vulnerable Plaque in the Coronary Arteries
J. Nucl. Med.,
April 1, 2009;
50(4):
497 - 500.
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. Wykrzykowska, S. Lehman, G. Williams, J. A. Parker, M. R. Palmer, S. Varkey, G. Kolodny, and R. Laham
Imaging of Inflamed and Vulnerable Plaque in Coronary Arteries with 18F-FDG PET/CT in Patients with Suppression of Myocardial Uptake Using a Low-Carbohydrate, High-Fat Preparation
J. Nucl. Med.,
April 1, 2009;
50(4):
563 - 568.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
N. Tahara, T. Imaizumi, R. Virmani, and J. Narula
Clinical Feasibility of Molecular Imaging of Plaque Inflammation in Atherosclerosis
J. Nucl. Med.,
March 1, 2009;
50(3):
331 - 334.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. H.F. Rudd, K. S. Myers, S. Bansilal, J. Machac, M. Woodward, V. Fuster, M. E. Farkouh, and Z. A. Fayad
Relationships Among Regional Arterial Inflammation, Calcification, Risk Factors, and Biomarkers: A Prospective Fluorodeoxyglucose Positron-Emission Tomography/Computed Tomography Imaging Study
Circ Cardiovasc Imaging,
March 1, 2009;
2(2):
107 - 115.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
M. Nahrendorf, D. E. Sosnovik, B. A. French, F. K. Swirski, F. Bengel, M. M. Sadeghi, J. R. Lindner, J. C. Wu, D. L. Kraitchman, Z. A. Fayad, et al.
Multimodality Cardiovascular Molecular Imaging, Part II
Circ Cardiovasc Imaging,
January 1, 2009;
2(1):
56 - 70.
[Full Text]
[PDF]
|
|
|
|
|
|
|
D. Izquierdo-Garcia, J. R. Davies, M. J. Graves, J. H.F. Rudd, J. H. Gillard, P. L. Weissberg, T. D. Fryer, and E. A. Warburton
Comparison of Methods for Magnetic Resonance-Guided [18-F]Fluorodeoxyglucose Positron Emission Tomography in Human Carotid Arteries: Reproducibility, Partial Volume Correction, and Correlation Between Methods
Stroke,
January 1, 2009;
40(1):
86 - 93.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
S. J. Lee, Y. K. On, E. J. Lee, J. Y. Choi, B.-T. Kim, and K.-H. Lee
Reversal of Vascular 18F-FDG Uptake with Plasma High-Density Lipoprotein Elevation by Atherogenic Risk Reduction
J. Nucl. Med.,
August 1, 2008;
49(8):
1277 - 1282.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. H.F. Rudd, K. S. Myers, S. Bansilal, J. Machac, C. A. Pinto, C. Tong, A. Rafique, R. Hargeaves, M. Farkouh, V. Fuster, et al.
Atherosclerosis Inflammation Imaging with 18F-FDG PET: Carotid, Iliac, and Femoral Uptake Reproducibility, Quantification Methods, and Recommendations
J. Nucl. Med.,
June 1, 2008;
49(6):
871 - 878.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
|
|
|
J. Sanz, P. R. Moreno, and V. Fuster
The Year in Atherothrombosis
J. Am. Coll. Cardiol.,
March 4, 2008;
51(9):
944 - 955.
[Full Text]
[PDF]
|
|
|
|
|
|
|
M. P. S. Dunphy, H. Schoder, and H. W. Strauss
Radionuclide Techniques for Identifying Vulnerable Plaque
J. Nucl. Med.,
November 1, 2007;
48(11):
1753 - 1755.
[Full Text]
[PDF]
|
|
|
|
|
|
|
D. Hartung, A. Petrov, N. Haider, S. Fujimoto, F. Blankenberg, A. Fujimoto, R. Virmani, F. D. Kolodgie, H. W. Strauss, and J. Narula
Radiolabeled Monocyte Chemotactic Protein 1 for the Detection of Inflammation in Experimental Atherosclerosis
J. Nucl. Med.,
November 1, 2007;
48(11):
1816 - 1821.
[Abstract]
[Full Text]
[PDF]
|
|
|
|
Top
Abstract
Methods