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Early detection of subclinical pathology in patients with stable kidney graft function by arterial spin labeling

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Abstract

Objectives

To evaluate the utility of arterial spin labeling (ASL) for the identification of kidney allografts with underlying pathologies, particularly those with stable graft function.

Methods

A total of 75 patients, including 18 stable grafts with normal histology (normal group), 21 stable grafts with biopsy-proven pathology (subclinical pathology group), and 36 with unstable graft function (unstable graft group), were prospectively examined by ASL magnetic resonance imaging. Receiver operating characteristic curves were generated to calculate the area under the curve (AUC), sensitivity, and specificity.

Results

Patient demographics among the 3 groups were comparable. Compared with the normal group, kidney allograft cortical ASL values decreased in the subclinical pathology group and the unstable graft group (204.7 ± 44.9 ml/min/100 g vs 152.5 ± 38.9 ml/min/100 g vs 92.3 ± 37.4 ml/min/100 g, p < 0.001). The AUC, sensitivity, and specificity for discriminating allografts with pathologic changes from normal allografts were 0.92 (95% CI, 0.83–0.97), 71.9%, and 100% respectively by cortical ASL and 0.82 (95% CI, 0.72–0.90), 54.4%, and 100% respectively by serum creatinine. The cortical ASL identified allografts with subclinical pathology among patients with stable graft function with an AUC of 0.80 (95% CI, 0.64–0.91), sensitivity of 57.1%, and specificity of 88.9%. Combined use of proteinuria and cortical ASL could improve the sensitivity and specificity to 76.2% and 100% respectively for distinguishing the subclinical pathology group from the normal group.

Conclusions

Cortical ASL is useful for the identification of allografts with underlying pathologies. More importantly, ASL showed promise as a non-invasive tool for the clinical translation of identifying kidney allografts with subclinical pathology.

Key Points

• Cortical ASL values were decreased in kidney allografts with subclinical pathologic changes as compared with normal allografts (152.5 ± 38.9 ml/min/100 g vs 204.7 ± 44.9 ml/min/100 g, p < 0.001).

• Cortical ASL differentiated allografts with pathologic changes and subclinical pathology group from normal group with an AUC of 0.92 (95% CI, 0.83–0.97) and 0.80 (95% CI, 0.64–0.91) respectively.

• Cortical ASL discriminated allografts with underlying pathologic changes from normal allografts with a specificity of 100%, and combined use of proteinuria and cortical ASL values could also achieve 100% specificity for discriminating allografts with subclinical pathology from normal allografts.

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Abbreviations

ASL:

Arterial spin labeling

AUC:

Area under the curve

CI:

Confidence interval

eGFR:

Estimated glomerular filtration rate

MRI:

Magnetic resonance imaging

ROC:

Receiver operating characteristic

ROI:

Region of interest

References

  1. Kaballo MA, Canney M, O’Kelly P, Williams Y, O’Seaghdha CM, Conlon PJ (2018) A comparative analysis of survival of patients on dialysis and after kidney transplantation. Clin Kidney J 11:389–393

    Article  Google Scholar 

  2. Parajuli S, Joachim E, Alagusundaramoorthy S et al (2019) Subclinical antibody-mediated rejection after kidney transplantation: treatment outcomes. Transplantation 103:1722–1729

    Article  CAS  Google Scholar 

  3. Moreso F, Ibernon M, Gomà M et al (2006) Subclinical rejection associated with chronic allograft nephropathy in protocol biopsies as a risk factor for late graft loss. Am J Transplant 6:747–752

    Article  CAS  Google Scholar 

  4. Moledina DG, Luciano RL, Kukova L et al (2018) Kidney biopsy-related complications in hospitalized patients with acute kidney disease. Clin J Am Soc Nephrol 13:1633–1640

    Article  Google Scholar 

  5. Odudu A, Nery F, Harteveld AA et al (2018) Arterial spin labelling MRI to measure renal perfusion: a systematic review and statement paper. Nephrol Dial Transplant 33:ii15–ii21

    Article  CAS  Google Scholar 

  6. Kim DW, Shim WH, Yoon SK et al (2017) Measurement of arterial transit time and renal blood flow using pseudocontinuous ASL MRI with multiple post-labeling delays: feasibility, reproducibility, and variation. J Magn Reson Imaging 46:813–819

    Article  Google Scholar 

  7. Ritt M, Janka R, Schneider MP et al (2010) Measurement of kidney perfusion by magnetic resonance imaging: comparison of MRI with arterial spin labeling to para-aminohippuric acid plasma clearance in male subjects with metabolic syndrome. Nephrol Dial Transplant 25:1126–1133

    Article  CAS  Google Scholar 

  8. Cai YZ, Li ZC, Zuo PL et al (2017) Diagnostic value of renal perfusion in patients with chronic kidney disease using 3D arterial spin labeling. J Magn Reson Imaging 46:589–594

    Article  Google Scholar 

  9. Hueper K, Gutberlet M, Rong S et al (2014) Acute kidney injury: arterial spin labeling to monitor renal perfusion impairment in mice-comparison with histopathologic results and renal function. Radiology 270:117–124

    Article  Google Scholar 

  10. Wiebe C, Gibson IW, Blydt-Hansen TD et al (2012) Evolution and clinical pathologic correlations of de novo donor-specific HLA antibody post kidney transplant. Am J Transplant 12:1157–1167

    Article  CAS  Google Scholar 

  11. Levey AS, Stevens LA, Schmid CH et al (2009) A new equation to estimate glomerular filtration rate. Ann Intern Med 150:604–612

    Article  Google Scholar 

  12. Loupy A, Haas M, Solez K et al (2017) The Banff 2015 kidney meeting report: current challenges in rejection classification and prospects for adopting molecular pathology. Am J Transplant 17:28–41

    Article  CAS  Google Scholar 

  13. Ni X, Wang W, Li X et al (2020) Utility of diffusion-weighted imaging for guiding clinical management of patients with kidney transplant: a prospective study. J Magn Reson Imaging 52:565–574

    Article  Google Scholar 

  14. DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845

    Article  CAS  Google Scholar 

  15. Nery F, Buchanan CE, Harteveld AA et al (2020) Consensus-based technical recommendations for clinical translation of renal ASL MRI. MAGMA 33:141–161

    Article  Google Scholar 

  16. Zhang JL, Rusinek H, Chandarana H, Lee VS (2013) Functional MRI of the kidneys. J Magn Reson Imaging 37:282–293

    Article  Google Scholar 

  17. Li LP, Tan H, Thacker JM et al (2017) Evaluation of renal blood flow in chronic kidney disease using arterial spin labeling perfusion magnetic resonance imaging. Kidney Int Rep 2:36–43

    Article  Google Scholar 

  18. Artz NS, Sadowski EA, Wentland AL et al (2011) Arterial spin labeling MRI for assessment of perfusion in native and transplanted kidneys. Magn Reson Imaging 29:74–82

    Article  Google Scholar 

  19. Heusch P, Wittsack HJ, Blondin D et al (2014) Functional evaluation of transplanted kidneys using arterial spin labeling MRI. J Magn Reson Imaging 40:84–89

    Article  Google Scholar 

  20. Ren T, Wen CL, Chen LH et al (2016) Evaluation of renal allografts function early after transplantation using intravoxel incoherent motion and arterial spin labeling MRI. Magn Reson Imaging 34:908–914

    Article  Google Scholar 

  21. Scholbach T, Wang HK, Yang AH, Loong CC, Wu TH (2013) Correlation of histopathologic and dynamic tissue perfusion measurement findings in transplanted kidneys. BMC Nephrol 14:143–152

    Article  Google Scholar 

  22. Hueper K, Schmidbauer M, Thorenz A et al (2017) Longitudinal evaluation of perfusion changes in acute and chronic renal allograft rejection using arterial spin labeling in translational mouse models. J Magn Reson Imaging 46:1664–1672

    Article  Google Scholar 

  23. Wang W, Yu Y, Wen J et al (2019) Combination of functional magnetic resonance imaging and histopathologic analysis to evaluate interstitial fibrosis in kidney allografts. Clin J Am Soc Nephrol 14:1372–1380

    Article  CAS  Google Scholar 

  24. Prasad PV, Li LP, Thacker JM et al (2019) Cortical perfusion and tubular function as evaluated by magnetic resonance imaging correlates with annual loss in renal function in moderate chronic kidney disease. Am J Nephrol 49:114–124

    Article  CAS  Google Scholar 

  25. Mora-Gutiérrez JM, Garcia-Fernandez N, Slon Roblero MF et al (2017) Arterial spin labeling MRI is able to detect early hemodynamic changes in diabetic nephropathy. J Magn Reson Imaging 46:1810–1817

    Article  Google Scholar 

  26. Nery F, De Vita E, Clark CA, Gordon I, Thomas DL (2019) Robust kidney perfusion mapping in pediatric chronic kidney disease using single-shot 3D-GRASE ASL with optimized retrospective motion correction. Magn Reson Med 81:2972–2984

    PubMed  Google Scholar 

  27. Lanzman RS, Wittsack HJ, Martirosian P et al (2010) Quantification of renal allograft perfusion using arterial spin labeling MRI: initial results. Eur Radiol 20:1485–1491

    Article  Google Scholar 

  28. Hu G, Yang Z, Liang W et al (2019) Intravoxel incoherent motion and arterial spin labeling MRI analysis of reversible unilateral ureteral obstruction in rats. J Magn Reson Imaging 50:288–296

    Article  Google Scholar 

  29. Liang L, Chen WB, Chan KW et al (2016) Using intravoxel incoherent motion MR imaging to study the renal pathophysiological process of contrast-induced acute kidney injury in rats: comparison with conventional DWI and arterial spin labelling. Eur Radiol 26:1597–1605

    Article  Google Scholar 

  30. Zimmer F, Klotz S, Hoeger S et al (2017) Quantitative arterial spin labelling perfusion measurements in rat models of renal transplantation and acute kidney injury at 3 T. Z Med Phys 27:39–48

    Article  Google Scholar 

  31. Hueper K, Gueler F, Bräsen JH et al (2015) Functional MRI detects perfusion impairment in renal allografts with delayed graft function. Am J Physiol Renal Physiol 308:F1444–F1451

    Article  Google Scholar 

  32. Hueper K, Hensen B, Gutberlet M et al (2016) Kidney transplantation: multiparametric functional magnetic resonance imaging for assessment of renal allograft pathophysiology in mice. Invest Radiol 51:58–65

    Article  Google Scholar 

  33. Shirvani S, Tokarczuk P, Statton B et al (2019) Motion-corrected multiparametric renal arterial spin labelling at 3 T: reproducibility and effect of vasodilator challenge. Eur Radiol 29:232–240

    Article  Google Scholar 

  34. de Boer A, Harteveld AA, Stemkens B, et al (2020) Multiparametric renal MRI: an intrasubject test-retest repeatability study. J Magn Reson Imaging. https://doi.org/10.1002/jmri.27167

  35. Edwards A, Silldforff EP, Pallone TL (2000) The renal medullary microcirculation. Front Biosci 5:E36–E52

    Article  CAS  Google Scholar 

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Correspondence to Jiqiu Wen.

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The scientific guarantor of this publication is Jiqiu Wen.

Conflict of interest

One of the authors of this manuscript (Yong Zhang) is an employee of GE Healthcare. The remaining authors declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

No complex statistical methods were necessary for this paper.

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Written informed consent was obtained from all participating patients.

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Institutional Review Board approval was obtained.

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• prospective

• diagnostic study/observational

• performed at one institution

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Wang, W., Yu, Y., Li, X. et al. Early detection of subclinical pathology in patients with stable kidney graft function by arterial spin labeling. Eur Radiol 31, 2687–2695 (2021). https://doi.org/10.1007/s00330-020-07369-5

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  • DOI: https://doi.org/10.1007/s00330-020-07369-5

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