Banff fibrosis study: Multicenter visual assessment and computerized analysis of interstitial fibrosis in kidney biopsies

American Journal of Transplantation

Volumn 14, Issue 4, 2014, Pages 897-907

  Farris, A B ^a   Chan, S ^b   Climenhaga, J ^b   Adam, B ^b   Bellamy, C O C ^c   Seron D ^d   Colvin, R B ^e   Reeve, J ^b,f   Mengel, M ^b  

^a EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF ALBERTA   (Canada)

^c ROYAL INFIRMARY OF EDINBURGH   (United Kingdom)

^d HOSPITAL UNIVERSITARI VALL D HEBRON   (Spain)

^e HARVARD MEDICAL SCHOOL   (United States)

^f UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Allograft monitoring; Banff schema; chronic graft deterioration; collagen; end points; fibrosis; graft function; image analysis; kidney; pathologist; pathology of renal transplantation

Indexed keywords

ANALYSIS; ARTICLE; ATROPHY; BANFF TOTAL CORTICAL INFLAMMATION SCORE; COMPUTER ASSISTED QUANTIFICATION OF COLLAGEN III IMMUNOHISTOCHEMISTRY; CONTROLLED STUDY; CREATININE CLEARANCE; FIBROSING ALVEOLITIS; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMMUNOHISTOCHEMISTRY; KIDNEY BIOPSY; KIDNEY FUNCTION; KIDNEY TRANSPLANTATION; MAJOR CLINICAL STUDY; MULTICENTER VISUAL ASSESSMENT AND COMPUTERIZED ANALYSIS; PERIODIC ACID SCHIFF STAIN; PRIORITY JOURNAL; SCORING SYSTEM; STANDARDIZATION; TUBULAR ATROPHY; BIOPSY; CLASSIFICATION; CLINICAL TRIAL; ENZYME IMMUNOASSAY; FIBROSIS; FOLLOW UP; IMAGE PROCESSING; KIDNEY TUBULE; METABOLISM; MULTICENTER STUDY; OBSERVER VARIATION; PATHOLOGY; PROGNOSIS;

COLLAGEN TYPE 3;

BIOPSY; COLLAGEN TYPE III; FIBROSIS; FOLLOW-UP STUDIES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMMUNOENZYME TECHNIQUES; KIDNEY TUBULES; OBSERVER VARIATION; PROGNOSIS;

EID: 84897115764     PISSN: 16006135     EISSN: 16006143     Source Type: Journal    
DOI: 10.1111/ajt.12641     Document Type: Article

References (58)

1. Boor P, Ostendorf T, Floege J., Renal fibrosis: Novel insights into mechanisms and therapeutic targets. Nat Rev Nephrol 2010; 6: 643-656.
2. Zeisberg M, Neilson EG., Mechanisms of tubulointerstitial fibrosis. J Am Soc Nephrol 2010; 21: 1819-1834.
3. Racusen LC, Solez K, Colvin R., Fibrosis and atrophy in the renal allograft: Interim report and new directions. Am J Transplant 2002; 2: 203-206.
4. Farris AB, Adams CD, Brousaides N, et al. Morphometric and visual evaluation of fibrosis in renal biopsies. J Am Soc Nephrol 2010; 22: 176-186.
5. Pape L, Henne T, Offner G, et al. Computer-assisted quantification of fibrosis in chronic allograft nephropathy by picosirius red-staining: A new tool for predicting long-term graft function. Transplantation 2003; 76: 955-958.
6. Moreso F, Seron D, Vitria J, et al. Quantification of interstitial chronic renal damage by means of texture analysis. Kidney Int 1994; 46: 1721-1727.
7. Pape L, Mengel M, Offner G, Melter M, Ehrich JH, Strehlau J., Renal arterial resistance index and computerized quantification of fibrosis as a combined predictive tool in chronic allograft nephropathy. Pediatr Transplant 2004; 8: 565-570.
8. Servais A, Meas-Yedid V, Buchler M, et al. Quantification of interstitial fibrosis by image analysis on routine renal biopsy in patients receiving cyclosporine. Transplantation 2007; 84: 1595-1601.
9. Celik B, Randhawa PS., Glomerular changes in BK virus nephropathy. Hum Pathol 2004; 35: 367-370.
10. Nicholson ML, Bailey E, Williams S, Harris KP, Furness PN., Computerized histomorphometric assessment of protocol renal transplant biopsy specimens for surrogate markers of chronic rejection. Transplantation 1999; 68: 236-241.
11. Nicholson ML, McCulloch TA, Harper SJ, et al. Early measurement of interstitial fibrosis predicts long-term renal function and graft survival in renal transplantation. Br J Surg 1996; 83: 1082-1085.
12. Diaz Encarnacion MM, Griffin MD, Slezak JM, et al. Correlation of quantitative digital image analysis with the glomerular filtration rate in chronic allograft nephropathy. Am J Transplant 2004; 4: 248-256.
13. Grimm PC, Nickerson P, Gough J, et al. Quantitation of allograft fibrosis and chronic allograft nephropathy. Pediatr Transplant 1999; 3: 257-270.
14. Risdon RA, Sloper JC, De Wardener HE., Relationship between renal function and histological changes found in renal-biopsy specimens from patients with persistent glomerular nephritis. Lancet 1968; 2: 363-366.
15. Choi BS, Shin MJ, Shin SJ, et al. Clinical significance of an early protocol biopsy in living-donor renal transplantation: Ten-year experience at a single center. Am J Transplant 2005; 5: 1354-1360.
16. Colvin RB, Nickeleit V., Renal transplant pathology. In:, Jennette JC, Olson JL, Schwartz MM, Silva FG, eds. Heptinstall's pathology of the kidney. 6th ed. Philadelphia, PA: Lippincott Williams and Wilkins, 2006, pp. 1347-1490.
17. Cosio FG, Grande JP, Wadei H, Larson TS, Griffin MD, Stegall MD., Predicting subsequent decline in kidney allograft function from early surveillance biopsies. Am J Transplant 2005; 5: 2464-2472.
18. Kostadinova-Kunovska S, Petrusevska G, Jovanovic R, et al. Histomorphometric analysis of fibrosis in the renal interstitial compartment. Prilozi 2005; 26: 51-59.
19. Servais A, Meas-Yedid V, Toupance O, et al. Interstitial fibrosis quantification in renal transplant recipients randomized to continue cyclosporine or convert to sirolimus. Am J Transplant 2009; 9: 2552-2560.
20. De Heer E, Sijpkens YW, Verkade M, et al. Morphometry of interstitial fibrosis. Nephrol Dial Transplant 2000; 15 (Suppl 6): 72-73.
21. Vleming LJ, Baelde JJ, Westendorp RG, Daha MR, van Es LA, Bruijn JA., Progression of chronic renal disease in humans is associated with the deposition of basement membrane components and decorin in the interstitial extracellular matrix. Clin Nephrol 1995; 44: 211-219.
22. Abrass CK, Berfield AK, Stehman-Breen C, Alpers CE, Davis CL., Unique changes in interstitial extracellular matrix composition are associated with rejection and cyclosporine toxicity in human renal allograft biopsies. Am J Kidney Dis 1999; 33: 11-20.
23. Verkade MA, Bajema IM, De Heer E, Bruijn JA., Decorin and TGF-beta-1 protein expression in renal disease: A morphometric analysis [abstract]. J Am Soc Nephrol 1999; 10: 584.
24. Grimm PC, Nickerson P, Gough J, et al. Computerized image analysis of Sirius red-stained renal allograft biopsies as a surrogate marker to predict long-term allograft function. J Am Soc Nephrol 2003; 14: 1662-1668.
25. Sund S, Grimm P, Reisaeter AV, Hovig T., Computerized image analysis vs semiquantitative scoring in evaluation of kidney allograft fibrosis and prognosis. Nephrol Dial Transplant 2004; 19: 2838-2845.
26. Bains JC, Sandford RM, Brook NR, Hosgood SA, Lewis GR, Nicholson ML., Comparison of renal allograft fibrosis after transplantation from heart-beating and non-heart-beating donors. Br J Surg 2005; 92: 113-118.
27. Hunter MG, Hurwitz S, Bellamy CO, Duffield JS., Quantitative morphometry of lupus nephritis: The significance of collagen, tubular space, and inflammatory infiltrate. Kidney Int 2005; 67: 94-102.
28. Masseroli M, O'Valle F, Andujar M, et al. Design and validation of a new image analysis method for automatic quantification of interstitial fibrosis and glomerular morphometry. Lab Invest 1998; 78: 511-522.
29. Ruiz P, Kolbeck PC, Scroggs MW, Sanfilippo F., Associations between cyclosporine therapy and interstitial fibrosis in renal allograft biopsies. Transplantation 1988; 45: 91-95.
30. Ruiz P, Kolbeck PC, Scroggs MW, Bollinger RR, Sanfilippo F., Cyclosporine therapy and the development of interstitial fibrosis in renal allografts. Transplant Proc 1988; 20 (Suppl 3): 807-811.
31. Liu Y., Renal fibrosis: New insights into the pathogenesis and therapeutics. Kidney Int 2006; 69: 213-217.
32. Liu Y, Yang J., Hepatocyte growth factor: New arsenal in the fights against renal fibrosis ? Kidney Int 2006; 70: 238-240.
33. Vilayur E, Harris DC., Emerging therapies for chronic kidney disease: What is their role ? Nat Rev Nephrol 2009; 5: 375-383.
34. Boor P, Sebekova K, Ostendorf T, Floege J., Treatment targets in renal fibrosis. Nephrol Dial Transplant 2007; 22: 3391-3407.
35. Racusen LC, Solez K, Colvin RB, et al. The Banff 97 working classification of renal allograft pathology. Kidney Int 1999; 55: 713-723.
36. Solez K, Axelsen RA, Benediktsson H, et al. International standardization of criteria for the histologic diagnosis of renal allograft rejection: The Banff working classification of kidney transplant pathology. Kidney Int 1993; 44: 411-422.
37. Moreso F, Lopez M, Vallejos A, et al. Serial protocol biopsies to quantify the progression of chronic transplant nephropathy in stable renal allografts. Am J Transplant 2001; 1: 82-88.
38. Marcussen N, Olsen TS, Benediktsson H, Racusen L, Solez K., Reproducibility of the Banff classification of renal allograft pathology. Inter- and intraobserver variation. Transplantation 1995; 60: 1083-1089.
39. Furness PN, Taub N., International variation in the interpretation of renal transplant biopsies: Report of the CERTPAP project. Kidney Int 2001; 60: 1998-2012.
40. Farris AB, Colvin RB., Renal interstitial fibrosis: Mechanisms and evaluation. Curr Opin Nephrol Hypertens 2012; 21: 289-300.
41. Junqueira LC, Bignolas G, Brentani RR., Picrosirius staining plus polarization microscopy, a specific method for collagen detection in tissue sections. Histochem J 1979; 11: 447-455.
42. Feldman DL, Mogelesky TC, Chou M, Jeng AY., Enhanced expression of renal endothelin-converting enzyme-1 and endothelin-A-receptor mRNA in rats with interstitial fibrosis following ureter ligation. J Cardiovasc Pharmacol 2000; 36 (Suppl 1): S255-S259.
43. Satoh M, Kashihara N, Yamasaki Y, et al. Renal interstitial fibrosis is reduced in angiotensin II type 1a receptor-deficient mice. J Am Soc Nephrol 2001; 12: 317-325.
44. Meas-Yedid V, Servais A, Noel LH, et al. New computerized color image analysis for the quantification of interstitial fibrosis in renal transplantation. Transplantation 2011; 92: 890-899.
45. Miura Y, Satoh S, Saito M, et al. Factors increasing quantitative interstitial fibrosis from 0 hr to 1 year in living kidney transplant patients receiving tacrolimus. Transplantation 2011; 91: 78-85.
46. Servais A, Meas-Yedid V, Noel LH, et al. Interstitial fibrosis evolution on early sequential screening renal allograft biopsies using quantitative image analysis. Am J Transplant 2011; 11: 1456-1463.
47. Mengel M, Reeve J, Bunnag S, et al. Scoring total inflammation is superior to the current Banff inflammation score in predicting outcome and the degree of molecular disturbance in renal allografts. Am J Transplant 2009; 9: 1859-1867.
48. Mannon RB, Matas AJ, Grande J, et al. Inflammation in areas of tubular atrophy in kidney allograft biopsies: A potent predictor of allograft failure. Am J Transplant 2010; 10: 2066-2073.
49. Furness PN, Taub N, Assmann KJ, et al. International variation in histologic grading is large, and persistent feedback does not improve reproducibility. Am J Surg Pathol 2003; 27: 805-810.
50. SurveyMonkey. Available at: http://www.surveymonkey.com. Accessed April 17, 2012.
51. Cockcroft DW, Gault MH., Prediction of creatinine clearance from serum creatinine. Nephron 1976; 16: 31-41.
52. Aperio Technologies. Aperio | support | documentation. Vista, CA: Aperio Technologies, Inc., 2009. Available at: http://www.aperio.com. Accessed June 21, 2009.
53. Aperio Technologies. Image analysis | Aperio. Vista, CA: Aperio Technologies, Inc., 2009. Available at: http://www.aperio.com/imageanalysis/ image-analysis.asp. Accessed June 21, 2009.
54. Team RDC., R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing, 2006.
55. Landis JR, Koch GG., The measurement of observer agreement for categorical data. Biometrics 1977; 33: 159-174.
56. Seron D., Interstitial fibrosis and tubular atrophy in renal allograft protocol biopsies as a surrogate of graft survival. Transplant Proc 2009; 41: 769-770.
57. Bellis M, Metias S, Naugler C, Pollett A, Jothy S, Yousef GM., Digital pathology: Attitudes and practices in the Canadian pathology community. J Pathol Inform 2013; 4: 3. Available at: http://www.jpathinformatics.org/text.asp?2013/ 4/1/3/108540. Accessed January 28, 2014.
58. Sis B, Mengel M, Haas M, et al. Banff '09 meeting report: Antibody mediated graft deterioration and implementation of Banff working groups. Am J Transplant 2010; 10: 464-471.