Skip to main content
Log in

18F-FDG uptake velocity but not uptake level is associated with progression of carotid plaque

  • Nuclear Medicine
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

The objective of this study was to evaluate whether baseline 18F-fluorodeoxyglucose (FDG) uptake is associated with carotid plaque progression.

Methods

A total of 156 subjects with carotid plaque were enrolled and underwent carotid magnetic resonance imaging (MRI) (at baseline and the 12-month follow-up) and positron emission tomography-computed tomography (PET-CT) (baseline). Carotid plaque progression was evaluated by two indices (the incidence of plaque progression and percentage of plaque increase) with three-dimensional (3D) imaging, while the 18F-FDG uptake was evaluated by the 18F-FDG uptake levels and 18F-FDG uptake velocity. The association between plaque progression and 18F-FDG uptake was investigated by the trend test and multivariate logistic regression analysis.

Results

Of the 156 subjects, 80 (51.3%) showed carotid plaque progression during the 12-month follow-up. Firstly, no association was found between 18F-FDG uptake levels and plaque progression. Secondly, significant differences in the incidence of plaque progression were observed among the groups with different uptake velocities, showing a significant decreasing trend ranging from high to intermediate to low (p = 0.002, trend test). After adjusting for covariates, an adequate prediction of the 18F-FDG uptake velocity for the incidence of plaque progression was revealed (OR = 0.682, p < 0.05). In addition, no association was found between the 18F-FDG uptake velocity and the percentage of plaque increase in the subjects with plaque progression (p = 0.757, trend test).

Conclusions

Our findings suggest 18F-FDG uptake velocity is independently associated with the incidence of carotid plaque progression. Additionally, the 18F-FDG uptake velocity, as another important parameter of PET-CT, warrants further study in future clinical research.

Key Points

The18F-FDG uptake levels were not associated with the carotid plaque progression.

The18F-FDG uptake velocity could predict the incidence of carotid plaque progression.

The18F-FDG uptake velocity with related factors warrants more attention in future clinical research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig 1
Fig 2
Fig 3
Fig 4
Fig 5
Fig 6

Similar content being viewed by others

Abbreviations

FDG:

Fluorodeoxyglucose

ICC:

Intragroup correlation coefficient

MRI:

Magnetic resonance imaging

MRS:

Magnetic resonance spectroscopy

PET-CT:

Positron emission tomography-computed tomography

ROC:

Receiver operating curve

SUV:

Maximum standard uptake value

TBR:

Target-to-background ratio

VIF:

Variance inflation factor

References

  1. Meschia JF, Bushnell C, Boden-Albala B et al (2014) Guidelines for the primary prevention of stroke: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 45:3754–3832

    Article  Google Scholar 

  2. Huet P, Burg S, Le Guludec D, Hyafil F, Buvat I (2015) Variability and uncertainty of 18F-FDG PET imaging protocols for assessing inflammation in atherosclerosis: suggestions for improvement. J Nucl Med 56:552–559

    Article  CAS  Google Scholar 

  3. Dweck MR, Aikawa E, Newby DE et al (2016) Noninvasive molecular imaging of disease activity in atherosclerosis. Circ Res 119:330–340

    Article  CAS  Google Scholar 

  4. van der Valk FM, Kroon J, Potters WV et al (2014) In vivo imaging of enhanced leukocyte accumulation in atherosclerotic lesions in humans. J Am Coll Cardiol 64:1019–1029

    Article  Google Scholar 

  5. Hyafil F, Schindler A, Sepp D et al (2016) High-risk plaque features can be detected in non-stenotic carotid plaques of patients with ischaemic stroke classified as cryptogenic using combined (18)F-FDG PET/MR imaging. Eur J Nucl Med Mol Imaging 43:270–279

    Article  Google Scholar 

  6. Rudd JH, Narula J, Strauss HW et al (2010) Imaging atherosclerotic plaque inflammation by fluorodeoxyglucose with positron emission tomography: ready for prime time? J Am Coll Cardiol 55:2527–2535

    Article  Google Scholar 

  7. Hammad B, Evans NR, Rudd JHF, Tawakol A (2017) Molecular imaging of atherosclerosis with integrated PET imaging. J Nucl Cardiol 24:938–943

    Article  Google Scholar 

  8. Sun J, Zhao XQ, Balu N et al (2017) Carotid plaque lipid content and fibrous Cap status predict systemic CV outcomes: the MRI substudy in AIM-HIGH. JACC Cardiovasc Imaging 10:241–249

    Article  Google Scholar 

  9. McNally JS, McLaughlin MS, Hinckley PJ et al (2015) Intraluminal thrombus, intraplaque hemorrhage, plaque thickness, and current smoking optimally predict carotid stroke. Stroke 46:84–90

    Article  Google Scholar 

  10. Joseph P, Ishai A, Mani V et al (2017) Short-term changes in arterial inflammation predict long-term changes in atherosclerosis progression. Eur J Nucl Med Mol Imaging 44:141–150

    Article  CAS  Google Scholar 

  11. Xu D, Hippe DS, Underhill HR et al (2014) Prediction of high-risk plaque development and plaque progression with the carotid atherosclerosis score. JACC Cardiovasc Imaging 7:366–373

    Article  Google Scholar 

  12. Mehta NN, Torigian DA, Gelfand JM, Saboury B, Alavi A (2012) Quantification of atherosclerotic plaque activity and vascular inflammation using [18-F] fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT). J Vis Exp. https://doi.org/10.3791/3777:e3777

  13. Harris RS, Venegas JG, Wongviriyawong C et al (2011) 18F-FDG uptake rate is a biomarker of eosinophilic inflammation and airway response in asthma. J Nucl Med 52:1713–1720

    Article  Google Scholar 

  14. Bosmans B, Famaey N, Verhoelst E, Bosmans J, Vander Sloten J (2016) A validated methodology for patient specific computational modeling of self-expandable transcatheter aortic valve implantation. J Biomech 49:2824–2830

    Article  Google Scholar 

  15. Gold MEL, Norell MA, Budassi M, Vaska P, Schulz D (2018) Rapid (18)F-FDG uptake in brain of awake, behaving rat and anesthetized chicken has implications for behavioral PET studies in species with high metabolisms. Front Behav Neurosci 12:115

    Article  Google Scholar 

  16. Tarkin JM, Dweck MR, Evans NR et al (2016) Imaging atherosclerosis. Circ Res 118:750–769

    Article  CAS  Google Scholar 

  17. Zhang R, Zhou Y, Liu C et al (2017) Overestimation of susceptibility vessel sign: a predictive marker of stroke cause. Stroke 48:1993–1996

    Article  Google Scholar 

  18. Duivenvoorden R, van Wijk D, Klimas M, Kastelein JJ, Stroes ES, Nederveen AJ (2013) Detection of liquid phase cholesteryl ester in carotid atherosclerosis by 1H-MR spectroscopy in humans. JACC Cardiovasc Imaging 6:1277–1284

    Article  Google Scholar 

  19. Steinl DC, Kaufmann BA (2015) Ultrasound imaging for risk assessment in atherosclerosis. Int J Mol Sci 16:9749–9769

    Article  Google Scholar 

  20. Wilson SR, Lin FY, Min JK (2011) Role of coronary artery calcium score and coronary CT angiography in the diagnosis and risk stratification of individuals with suspected coronary artery disease. Curr Cardiol Rep 13:271–279

    Article  Google Scholar 

  21. Bouma BE, Villiger M, Otsuka K, Oh WY (2017) Intravascular optical coherence tomography [Invited]. Biomed Opt Express 8:2660–2686

    Article  Google Scholar 

  22. Ammirati E, Moroni F, Pedrotti P et al (2014) Non-invasive imaging of vascular inflammation. Front Immunol 5:399

    Article  Google Scholar 

  23. Luijendijk P, Lu H, Heynneman FB et al (2014) Increased carotid intima-media thickness predicts cardiovascular events in aortic coarctation. Int J Cardiol 176:776–781

    Article  Google Scholar 

  24. Zavodni AE, Wasserman BA, McClelland RL et al (2014) Carotid artery plaque morphology and composition in relation to incident cardiovascular events: the Multi-Ethnic Study of Atherosclerosis (MESA). Radiology 271:381–389

    Article  Google Scholar 

  25. Derlin T, Richter U, Bannas P et al (2010) Feasibility of 18F-sodium fluoride PET/CT for imaging of atherosclerotic plaque. J Nucl Med 51:862–865

    Article  Google Scholar 

Download references

Funding

This work was supported by National Natural Science Foundation of China (81871343, 81525014), Jiangsu Provincial Key Research and Development Plan (BE2017699, BE2017698, BE2018693), and Natural Science Foundation of Jiangsu Province (BK20181226, BK20171311).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Jinchuan Yan or Shenghong Ju.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Jinchuan Yan.

Conflict of interest

The authors have no potential conflicts of interest relevant to this article.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was waived by the institutional review board.

Ethical approval

Institutional review board approval was obtained.

Methodology

• retrospective

• observational

• performed at one institution

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOCX 726 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Y., Liang, Y., Yang, P. et al. 18F-FDG uptake velocity but not uptake level is associated with progression of carotid plaque. Eur Radiol 30, 2403–2411 (2020). https://doi.org/10.1007/s00330-019-06535-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-019-06535-8

Keywords

Navigation