An image analysis-based method for quantification of chronic allograft damage index parameters

APMIS

Volumn 114, Issue 6, 2006, Pages 440-448

  Lauronen, Jouni ^a,b   Häyry, Pekka ^a   Paavonen, Timo ^a,c  

^a UNIVERSITY OF HELSINKI   (Finland)

^b HELSINKI UNIVERSITY CENTRAL HOSPITAL   (Finland)

^c UNIVERSITY OF OULU   (Finland)

Author keywords

CADI; Histopathology; Image analysis; Kidney; Transplant

Indexed keywords

ARTICLE; CHRONIC ALLOGRAFT DAMAGE INDEX; CHRONIC ALLOGRAFT NEPHROPATHY; COMPUTER PROGRAM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIGITAL IMAGING; DISEASE SEVERITY; GLOMERULOSCLEROSIS; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; INFLAMMATION; KIDNEY BIOPSY; KIDNEY FIBROSIS; KIDNEY GRAFT; KIDNEY TRANSPLANTATION; MESANGIUM CELL; OUTCOME ASSESSMENT; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SCORING SYSTEM;

BIOPSY; FIBROSIS; GRAFT REJECTION; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; KIDNEY TRANSPLANTATION;

EID: 33745685295     PISSN: 09034641     EISSN: 16000463     Source Type: Journal    
DOI: 10.1111/j.1600-0463.2006.apm_350.x     Document Type: Article

References (23)

1. Solez K, Axelsen RA, Benediktsson H, Burdick JF, Cohen AH, Colvin RB, 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;44:411-22.
2. Racusen LC, Solez K, Colvin RB, Bonsib SM, Castro MC, Cavallo T, et al. The Banff 97 working glassification of renal allograft pathology. Kidney Int 1999;55:713-23.
3. Serón D, Moreso F, Bover J. Condom E, Gil-Vernet S, Cañas C et al. Early protocol renal allograft biopsies and graft outcome. Kidney Int 1997;51:310-6.
4. Serón D, Moreso F, Ramón JM, Hueso M, Condom E, Fulladosa X, et al. Protocol renal allograft biopsies and the design of clinical trials aimed to prevent or treat chronic allograft nephropathy. Transplantation 2000;69:1849-55.
5. Dimeny E, Wahlberg J, Larsson E, Fellstrom B. Can histopathological findings in early renal allograft biopsies identify patients at risk for chronic vascular rejection? Clin Transplant 1995;9:79-84.
6. Legendre C, Thervet E, Skhiri H, Mamzer-Bruneel MC, Cantarovich F, Noël LH, et al. Histologic features of chronic allograft nephropathy revealed by protocol biopsies in kidney transplant recipients. Transplantation 1998;65:1506-9.
7. Nicholson ML, McCulloch TA, Harper SJ, Wheatley TJ, Edwards CM, Feehally J, et al. Early measurement of interstitial fibrosis predicts long-term renal function and graft survival in renal transplantation. Brit J Surg 1996; 83:1082-5.
8. Lehtonen SRK, Taskinen EI, Isoniemi HM. Histological alterations in implant and one-year protocol biopsy specimens of renal allografts. Transplantation 2001;72:1138-44.
9. Isoniemi HM, Krogerus L, von Willebrand E, Taskinen E, Ahonen J, Häyry P. Histopathological findings in well-functioning, long term renal allografts. Kidney Int 1992;41:155-60.
10. Isoniemi H, Taskinen E, Häyry P Histologic chronic allograft damage index accurately predicts chronic renal allograft rejection. Transplantation 1994;58:1195-8.
11. Yilmaz S, Nutley M, Taskinen E, Paavonen T, Häyry P. Post-transplantation histology as surrogate marker for long-term kidney allograft outcome. Ann Transplant 2000;5:37-43.
12. Yilmaz S, Tomlanovich S, Mathew T, Taskinen E, Paavonen T, Navarro M, et al. Protocol core needle biopsy and histologic chronic allograft damage index (CADI) as surrogate end point for long-term graft survival in multicenter studies. Am J Soc Nephrol 2003;14:773-9.
13. Qvist E, Krogerus L, Rönnholm K, Laine J, Jalanko H, Holmberg C. Course of renal allograft histoathology after transplantation in early childhood. Transplantation 2000;70:480-7.
14. Furness PN, Taub N, Assmann KJM, Banfi G, Cosyns JP, Dorman AM, et al. International variation in histologic grading is large, and persistent feedback does not improve reproducibility. Am J Surg Pathol 2003;27:805-10.
15. Moreso F, Serón D, Vitria J, Grinyo JM, Colome-Serra FM, Pares N, et al. Quantification of interstitial chronic renal damage by means of texture analysis. Kidney Int 1994;46:1721-7.
16. Serón D, Moreso F, Gratin C, Vitria J, Condom E, Grinyo JM, et al. Automated classification of renal interstitium and tubules by local texture analysis and a neural network. Anal Quant Cytol Histol 1996;18:410-9.
17. Masseroli M, O'Valle F, Andujar M, Ramirez C, Gomez-Morales M, de Dios Luna J, et al. Design and validation of a new image analysis method for automatic quantification of interstitial fibrosis and glomerular morphometry. Lab Invest 1998;78:511-22.
18. Grimm PC, Nickerson P, Gough J, McKenna R, Stern E, Jeffery 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;14:1662-8.
19. Furukawa T, Kinukawa T, Suguyama S, Ono Y, Ohshima S. Prediction of chronic allograft failure using computerized image analysis of postperfusion biopsy specimen: study of cadaver kidney biopsies. Transplant Proc 2001;33:962-3.
20. Nicholson ML, Bailey E, Williams S, Harris KPG, Furness PN. Computerized histomorphometric assesment of protocol renal transplant biopsy specimens for surrogate markers of chronic rejection. Transplantation 1999;68:236-41.
21. Furness PN, Rogers-Wheatley L, Harris KPG. Semiautomatic quantification of macrophages in human renal biopsy specimens in proteinuric states. J Clin Pathol 1997;50:118-22.
22. Ranefall P, Egevad L, Nordin B, Bengtsson E. A new method for segmentation of colour images applied to immunohistochemically stained nuclei. Anal Cell Pathol 1997;15:145-56.
23. Ranefall P, Wester K, Andersson AC, Busch C, Bengtsson E. Automatic quantification of immunohistochemically stained nuclei based on standard reference cells. Anal Cell Pathol 1998;17:111-23.