Enhanced resolution of interstitial fibrosis in pediatric renal allograft biopsies using image analysis of trichrome stain

Birk PE, Gill JS, Blydt‐Hansen TD, Gibson IW. Enhanced resolution of interstitial fibrosis in pediatric renal allograft biopsies using image analysis of trichrome stain.
Pediatr Transplantation 2010: 14: 925–930. © 2010 John Wiley & Sons A/S.

[1]  D. Stablein,et al.  Contributions of the Transplant Registry: The 2006 Annual Report of the North American Pediatric Renal Trials and Collaborative Studies (NAPRTCS) * , 2007, Pediatric transplantation.

[2]  R. Colvin,et al.  Banff '05 Meeting Report: Differential Diagnosis of Chronic Allograft Injury and Elimination of Chronic Allograft Nephropathy (‘CAN’) , 2007, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[3]  P. Birk,et al.  Low incidence of adverse events in outpatient pediatric renal allograft biopsies , 2007, Pediatric transplantation.

[4]  S. Yildiz,et al.  Renal medullary changes in renal allograft recipients with raised serum creatinine , 2006, Journal of Clinical Pathology.

[5]  D. Goldfarb,et al.  The natural history of chronic allograft nephropathy. , 2005, The Journal of urology.

[6]  M. Sakar,et al.  Methenamine silver staining quantitative digital histochemistry in chronic allograft nephropathy. , 2004, Transplantation proceedings.

[7]  J. Chapman,et al.  Delta Analysis of Posttransplantation Tubulointerstitial Damage , 2004, Transplantation.

[8]  M. Cheang,et al.  Surveillance biopsies are superior to functional studies for the diagnosis of acute and chronic renal allograft pathology in children , 2004, Pediatric transplantation.

[9]  Joseph P Grande,et al.  Correlation of Quantitative Digital Image Analysis with the Glomerular Filtration Rate in Chronic Allograft Nephropathy , 2004, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[10]  Lars Pape,et al.  Computer-assisted quantification of fibrosis in chronic allograft nephropaty by picosirius red-staining: a new tool for predicting long-term graft function1 , 2003, Transplantation.

[11]  P. Nickerson,et al.  Computerized image analysis of Sirius Red-stained renal allograft biopsies as a surrogate marker to predict long-term allograft function. , 2003, Journal of the American Society of Nephrology : JASN.

[12]  A. Ruifrok,et al.  Comparison of Quantification of Histochemical Staining By Hue-Saturation-Intensity (HSI) Transformation and Color-Deconvolution , 2003, Applied immunohistochemistry & molecular morphology : AIMM.

[13]  J. Hanley,et al.  Statistical analysis of correlated data using generalized estimating equations: an orientation. , 2003, American journal of epidemiology.

[14]  F. Moreso,et al.  Serial Protocol Biopsies to Quantify the Progression of Chronic Transplant Nephropathy in Stable Renal Allografts , 2001, American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons.

[15]  S. Sugiyama,et al.  Prediction of chronic allograft failure using computerized image analysis of postperfusion biopsy specimen: study of cadaver kidney transplants. , 2001, Transplantation proceedings.

[16]  J. A. van der Laak,et al.  Hue-saturation-density (HSD) model for stain recognition in digital images from transmitted light microscopy. , 2000, Cytometry.

[17]  P. Nickerson,et al.  Quantitation of allograft fibrosis and chronic allograft nephropathy , 1999, Pediatric transplantation.

[18]  M. Nicholson,et al.  Computerized histomorphometric assessment of protocol renal transplant biopsy specimens for surrogate markers of chronic rejection. , 1999, Transplantation.

[19]  H. E. Hansen,et al.  The Banff 97 working classification of renal allograft pathology. , 1999, Kidney international.

[20]  H. Weiler,et al.  Flaxseed ameliorates interstitial nephritis in rat polycystic kidney disease. , 1999, Kidney international.

[21]  M. Nicholson,et al.  Renal allograft survival can be predicted by histomorphometric assessment of extracellular matrix in 6-month protocol biopsies. , 1998, Transplantation proceedings.

[22]  R. Zhou,et al.  A multiple wavelength algorithm in color image analysis and its applications in stain decomposition in microscopy images. , 1996, Medical physics.

[23]  J. Feehally,et al.  Early measurement of interstitial fibrosis predicts long‐term renal function and graft survival in renal transplantation , 1996, The British journal of surgery.

[24]  G. Schwartz,et al.  A simple estimate of glomerular filtration rate in children derived from body length and plasma creatinine , 2004 .

[25]  A. Cohen Masson's trichrome stain in the evaluation of renal biopsies. An appraisal. , 1976, American Journal of Clinical Pathology.

[26]  D. Serón,et al.  Relationship between donor renal interstitial surface and post-transplant function. , 1993, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.