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Better understanding of acute gouty attack using CT perfusion in a rabbit model

  • Yabin Hu
  • Qing Yang
  • Yanyan Gao
  • Xuexin Guo
  • Yongjian Liu
  • Can Li
  • Yanmeng Du
  • Lei Gao
  • Dezheng Sun
  • Congcong Zhu
  • Mi Yan
Experimental
  • 26 Downloads

Abstract

Objective

To assess hemodynamic changes related to acute gouty knee arthritis in a rabbit with CT perfusion (CTP)

Methods

Forty-two rabbits were randomly separated into two groups: the treated group of 30 and the control group of 12. The right knee was injected with monosodium urate solution and polymyxin in the treated group and saline and polymyxin in the control group. At 2, 16, 32, 48, 60, and 72 h after injection, five rabbits from the treated group and two rabbits from the control group were selected for CTP. At each time point, blood flow (BF), blood volume (BV), and clearance rate (CL) were measured, and microvessel density (MVD) was evaluated with a microscope.

Results

In the treated group, BF, BV, CL, and MVD were significantly higher than in the control group (p < 0.001). Differences within paired comparison of BV, BF, CL, and MVD were all significant (all p < 0.001). Peak time of BV, BF, and MVD was 32 h and 48 h for CL. After multivariate stepwise linear regression analysis, BV was linearly associated with MVD and vice versa, which also applied to BF with MVD and BF with CL, separately. The ascending rate of MVD was the highest among that of all parameters; so was the descending rate of CL.

Conclusion

CTP in this rabbit knee model accurately detected hemodynamic changes during a gouty attack.

Key Points

• Acute gouty arthritis can be evaluated with CTP in a rabbit knee model.

• Following injection of MSU crystals, producing an acute gouty attack, CTP successfully assessed hemodynamic changes.

• The ascending rate of MVD was the highest among that of all parameters; so was the descending rate of CL.

Keywords

Perfusion imaging Multidetector computed tomography Arthritis, gouty Rabbits 

Abbreviations

3D

Three dimensional

BF

Blood flow

BV

Blood volume

CL

Clearance rate

CTP

Computed tomography perfusion

ICC

Intraclass correlation coefficient

MSU

Monosodium urate

MVD

Microvessel density

Notes

Funding

This study has received funding from The science and technology development of Shandong province (2011GSF11834).

Compliance with ethical standards

Guarantor

The scientific guarantor of this publication is Qing Yang.

Conflict of interest

The authors declare that they have no competing interests.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Approval from the institutional animal care committee was obtained.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• Prospective

• Randomized controlled trial/experimental

• Performed at one institution

References

  1. 1.
    Martinon F (2010) Mechanisms of uric acid crystal-mediated autoinflammation. Immunol Rev 233:218–232CrossRefPubMedGoogle Scholar
  2. 2.
    Chhana A, Lee G, Dalbeth N (2015) Factors influencing the crystallization of monosodium urate: a systematic literature review. BMC Musculoskelet Disord 16:296CrossRefPubMedPubMedCentralGoogle Scholar
  3. 3.
    Landis RC, Yagnik DR, Florey O et al (2002) Safe disposal of inflammatory monosodium urate monohydrate crystals by differentiated macrophages. Arthritis Rheum 46:3026–3033CrossRefPubMedGoogle Scholar
  4. 4.
    Henrotin Y, Pesesse L, Lambert C (2014) Targeting the synovial angiogenesis as a novel treatment approach to osteoarthritis. Ther Adv Musculoskelet Dis 6:20–34CrossRefPubMedPubMedCentralGoogle Scholar
  5. 5.
    Bevilacqua A, Barone D, Malavasi S, Gavelli G (2014) Quantitative assessment of effects of motion compensation for liver and lung tumors in CT perfusion. Acad Radiol 21:1416–1426CrossRefPubMedGoogle Scholar
  6. 6.
    Cros M, Geleijns J, Joemai RM, Salvadó M (2016) Perfusion CT of the brain and liver and of lung tumors: use of Monte Carlo simulation for patient dose estimation for examinations with a cone-beam 320-MDCT scanner. AJR Am J Roentgenol 206:129–135CrossRefPubMedGoogle Scholar
  7. 7.
    Scanu A, Oliviero F, Gruaz L et al (2010) High-density lipoproteins downregulate CCL2 production in human fibroblast-like synoviocytes stimulated by urate crystals. Arthritis Res Ther 12:R23CrossRefPubMedPubMedCentralGoogle Scholar
  8. 8.
    Phelps P, McCarty DJ Jr (1966) Crystal-induced inflammation in canine joints. II. Importance of polymorphonuclear leukocytes. J Exp Med 124:115–126Google Scholar
  9. 9.
    Coderre TJ, Wall PD (1987) Ankle joint urate arthritis (AJUA) in rats: an alternative animal model of arthritis to that produced by Freund's adjuvant. Pain 28:379–393CrossRefPubMedGoogle Scholar
  10. 10.
    Nishimura A, Akahoshi T, Takahashi M et al (1997) Attenuation of monosodium urate crystal-induced arthritis in rabbits by a neutralizing antibody against interleukin-8. J Leukoc Biol 62:444–449CrossRefPubMedGoogle Scholar
  11. 11.
    Pineda C, Fuentes-Gómez AJ, Hernández-Díaz C et al (2015) Animal model of acute gout reproduces the inflammatory and ultrasonographic joint changes of human gout. Arthritis Res Ther 17:37CrossRefPubMedPubMedCentralGoogle Scholar
  12. 12.
    Meijerink MR, van Waesberghe JH, van Schaik C et al (2010) Perfusion CT and US of colorectal cancer liver metastases: a correlative study of two dynamic imaging modalities. Ultrasound Med Biol 36:1626–1636CrossRefPubMedGoogle Scholar
  13. 13.
    Steiger S, Harper JL (2014) Mechanisms of spontaneous resolution of acute gouty inflammation. Curr Rheumatol Rep 16:392CrossRefPubMedGoogle Scholar
  14. 14.
    Steiger S, Harper JL (2013) Neutrophil cannibalism triggers transforming growth factor β1 production and self regulation of neutrophil inflammatory function in monosodium urate monohydrate crystal-induced inflammation in mice. Arthritis Rheum 65:815–823CrossRefPubMedGoogle Scholar
  15. 15.
    Martinon F, Pétrilli V, Mayor A, Tardivel A, Tschopp J (2006) Gout-associated uric acid crystals activate the NALP3 inflammasome. Nature 440:237–241CrossRefGoogle Scholar
  16. 16.
    Fuchs TA, Abed U, Goosmann C et al (2007) Novel cell death program leads to neutrophil extracellular traps. J Cell Biol 176:231–241CrossRefPubMedPubMedCentralGoogle Scholar
  17. 17.
    Kumar V, Abbas AK, Aster JC (2018) Robbins Basic Pathology, 10th edn. Elsevier, Pennsylvania Philadelphia  Google Scholar

Copyright information

© European Society of Radiology 2018

Authors and Affiliations

  1. 1.Department of RadiologyAffiliated Hospital (Laoshan Hospital) of Qingdao UniversityQingdaoChina
  2. 2.Department of Radiology, Zhongshan Hospital, Fudan UniversityShanghai Institute of Medical ImagingShanghaiChina
  3. 3.Department of EndocrinologyAffiliated Hospital (Laoshan Hospital) of Qingdao UniversityQingdaoChina
  4. 4.Department of RadiologyDongying People’s HospitalDongyingChina
  5. 5.Department of RadiologyHiser Medical Center of QingdaoQingdaoChina
  6. 6.Department of CTJuancheng People’s HospitalHezeChina
  7. 7.CT scan RoomJinan Fourth HospitalJinanChina
  8. 8.Department of CTThe Third Hospital of Hebei Medical UniversityShijiazhuangChina
  9. 9.Department of RadiologyQingdao Municipal HospitalQingdaoChina

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