Advertisement

Abdominal Radiology

, Volume 44, Issue 1, pp 218–226 | Cite as

Assessment of delayed graft function using susceptibility-weighted imaging in the early period after kidney transplantation: a feasibility study

  • Jun Sun
  • Shengnan Yu
  • Jie Chen
  • Zhaoyu Xing
  • Tingting Zha
  • Min Fan
  • Dexing Zeng
  • Wei XingEmail author
Article
  • 59 Downloads

Abstract

Purpose

This study aimed to explore the feasibility of susceptibility-weighted imaging (SWI) for evaluating delayed graft function (DGF) during the early posttransplantation period.

Methods

Sixty-nine recipients who accepted allograft renal transplantation underwent SWI during the second posttransplantation week. Renal allograft function was estimated via the glomerular filtration rate. Recipients with and without DGF were identified. For each transplanted kidney, the presence of abnormal signal intensity lesions (ASILs), excluding benign lesions, on SWI was assessed. Renal allograft function was compared between the recipients with and without ASILs. The correlation between ASILs and renal allograft function was tested by Spearman’s rank correlation analysis.

Results

Thirty-four recipients were diagnosed with DGF, while 35 recipients showed no DGF. In the DGF group, 16 recipients had low-intensity ASILs, primarily at the corticomedullary junction of transplanted kidneys on SWI, and no ASILs were found in 18 recipients. In the non-DGF group, none of the recipients showed ASILs on SWI. In the DGF group, the renal allograft function among the 16 recipients with low-intensity ASILs was significantly lower than that among the other 18 recipients (8.5 ± 4.2 vs. 19.7 ± 9.7 mL/min, P < 0.001). The presence of low-intensity ASILs on SWI showed a moderate negative correlation with renal allograft function in recipients with DGF (r = − 0.553, P = 0.001).

Conclusion

SWI can be used to evaluate DGF in the early post-kidney transplantation period.

Keywords

Susceptibility-weighted imaging Diagnostic imaging Delayed graft function Kidney transplantation Magnetic resonance imaging 

Notes

Compliance with ethical standards

Funding

This work was supported by the National Natural Science Foundation of China (Grant Numbers 81771798), and major scientific and technological projects of the Changzhou Municipal Commission of Health and Family Planning (Grant Numbers ZD201509).

Conflict of interest

All authors declare that they have no conflicts of interest.

Ethical approval

All research procedures were conducted in accordance with the Declaration of Helsinki. The local ethics committee approved this retrospective study.

Informed consent

Informed consent was obtained from all participants included in the study.

References

  1. 1.
    Hueper K, Khalifa AA, Brasen JH, et al. (2016) Diffusion-weighted imaging and diffusion tensor imaging detect delayed graft function and correlate with allograft fibrosis in patients early after kidney transplantation. J Magn Reson Imaging 44:112–121CrossRefGoogle Scholar
  2. 2.
    Fonseca I, Teixeira L, Malheiro J, et al. (2015) The effect of delayed graft function on graft and patient survival in kidney transplantation: an approach using competing events analysis. Transpl Int 28:738–750CrossRefGoogle Scholar
  3. 3.
    Gill J, Dong J, Rose C, et al. (2016) The risk of allograft failure and the survival benefit of kidney transplantation are complicated by delayed graft function. Kidney Int 89:1331–1336CrossRefGoogle Scholar
  4. 4.
    Malyszko J, Lukaszyk E, Glowinska I, et al. (2015) Biomarkers of delayed graft function as a form of acute kidney injury in kidney transplantation. Sci Rep 5:11684CrossRefGoogle Scholar
  5. 5.
    Thoeny HC, Zumstein D, Simon-Zoula S, et al. (2006) Functional evaluation of transplanted kidneys with diffusion-weighted and BOLD MR imaging: initial experience. Radiology 241:812–821CrossRefGoogle Scholar
  6. 6.
    Sadowski EA, Fain SB, Alford SK, et al. (2005) Assessment of acute renal transplant rejection with blood oxygen level-dependent MR imaging: initial experience. Radiology 236:911–919CrossRefGoogle Scholar
  7. 7.
    Haacke EM, Xu Y, Cheng YC, et al. (2004) Susceptibility weighted imaging (SWI). Magnetic resonance in medicine. Magn Reson Med 52:612–618CrossRefGoogle Scholar
  8. 8.
    Li C, Ai B, Li Y, et al. (2010) Susceptibility-weighted imaging in grading brain astrocytomas. Eur J Radiol 75:e81–e85CrossRefGoogle Scholar
  9. 9.
    Dai Y, Zeng M, Li R, et al. (2011) Improving detection of siderotic nodules in cirrhotic liver with a multi-breath-hold susceptibility-weighted imaging technique. J Magn Reson Imaging 34:318–325CrossRefGoogle Scholar
  10. 10.
    Xing W, He X, Kassir MA, et al. (2013) Evaluating hemorrhage in renal cell carcinoma using susceptibility weighted imaging. PLoS One 8:e57691CrossRefGoogle Scholar
  11. 11.
    Balassy C, Feier D, Peck-Radosavljevic M, et al. (2014) Susceptibility-weighted MR imaging in the grading of liver fibrosis: a feasibility study. Radiology 270:149–158CrossRefGoogle Scholar
  12. 12.
    Inker LA, Schmid CH, Tighiouart H, et al. (2012) Estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med 367:20–29CrossRefGoogle Scholar
  13. 13.
    Saat TC, van den Akker EK, IJzermans JN, et al. (2016) Improving the outcome of kidney transplantation by ameliorating renal ischemia reperfusion injury: lost in translation? J Transl Med 14:20CrossRefGoogle Scholar
  14. 14.
    Santos J, Martins LS (2015) Estimating glomerular filtration rate in kidney transplantation: Still searching for the best marker. World J Nephrol 4:345–353CrossRefGoogle Scholar
  15. 15.
    Miglinas M, Supranaviciene L, Mateikaite K, et al. (2013) Delayed graft function: risk factors and the effects of early function and graft survival. Transplant Proc 45:1363–1367CrossRefGoogle Scholar
  16. 16.
    Hall IE, Koyner JL, Doshi MD, et al. (2011) Urine cystatin C as a biomarker of proximal tubular function immediately after kidney transplantation. Am J Nephrol 33:407–413CrossRefGoogle Scholar
  17. 17.
    Zheng X, Zang G, Jiang J, et al. (2016) Attenuating Ischemia-Reperfusion Injury in Kidney Transplantation by Perfusing Donor Organs With siRNA Cocktail Solution. Transplantation 100:743–752CrossRefGoogle Scholar
  18. 18.
    Jang HR, Ko GJ, Wasowska BA, et al. (2009) The interaction between ischemia-reperfusion and immune responses in the kidney. J Mol Med (Berl) 87:859–864CrossRefGoogle Scholar
  19. 19.
    Mie MB, Nissen JC, Zollner FG, et al. (2010) Susceptibility weighted imaging (SWI) of the kidney at 3T–initial results. Z Med Phys 20:143–150CrossRefGoogle Scholar
  20. 20.
    Ding J, Xing W, Wu D, et al. (2015) Evaluation of Renal Oxygenation Level Changes after Water Loading Using Susceptibility-Weighted Imaging and T2* Mapping. Korean J Radiol 16:827–834CrossRefGoogle Scholar
  21. 21.
    Welch WJ (2006) Intrarenal oxygen and hypertension. Clin Exp Pharmacol Physiol 33:1002–1005CrossRefGoogle Scholar
  22. 22.
    Zhang W, Edwards A (2002) Oxygen transport across vasa recta in the renal medulla. Am J Physiol Heart Circ Physiol 283:H1042–H1055CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Jun Sun
    • 1
    • 2
  • Shengnan Yu
    • 1
  • Jie Chen
    • 1
  • Zhaoyu Xing
    • 3
  • Tingting Zha
    • 1
  • Min Fan
    • 3
  • Dexing Zeng
    • 2
  • Wei Xing
    • 1
    Email author
  1. 1.Department of RadiologyThe Third Affiliated Hospital of Soochow UniversityChangzhouChina
  2. 2.Department of Medicine & RadiologyUniversity of PittsburghPittsburghUSA
  3. 3.Department of UrologyThe Third Affiliated Hospital of Soochow UniversityChangzhouChina

Personalised recommendations