Renal Graft Fibrosis and Inflammation Quantification by an Automated Fourier-Transform Infrared Imaging Technique.

Renal interstitial fibrosis and interstitial active inflammation are the main histologic features of renal allograft biopsy specimens. Fibrosis is currently assessed by semiquantitative subjective analysis, and color image analysis has been developed to improve the reliability and repeatability of t...

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Published in:Journal of the American Society of Nephrology (JASN) Vol. 27; no. 8; pp. 2382 - 2392
Main Authors: Vuiblet, Vincent, Fere, Michael, Gobinet, Cyril, Birembaut, Philippe, Piot, Olivier, Rieu, Philippe
Format: research Journal Article
Published: Lippincott Williams & Wilkins Aug2016
Online Access:View this record in EBSCOhost
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      jtl: Journal of the American Society of Nephrology (JASN)
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      dt: Aug2016
      vid: 27
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      pub: Lippincott Williams & Wilkins
      place: Baltimore, Maryland
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        10.1681/ASN.2015050601
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        atl: Renal Graft Fibrosis and Inflammation Quantification by an Automated Fourier-Transform Infrared Imaging Technique.
      aug:
        au:
          Vuiblet, Vincent
          Fere, Michael
          Gobinet, Cyril
          Birembaut, Philippe
          Piot, Olivier
          Rieu, Philippe
        affil: Matrice Extracellulaire et Dynamique Cellulaire Unit, Centre National pour la Recherche Scientifique, Unité Mixte de Recherche 7369, and Nephrology and Renal Transplantation Department and Biopathology Laboratory, Centre Hospitalier et Universitaire de Reims, Reims, France
      sug:
        subj:
          Postoperative Complications Pathology
          Inflammation Pathology
          Kidney Pathology
          Kidney Diseases Pathology
          Kidney Transplantation
          Female
          Middle Age
          Fibrosis
          Retrospective Design
          Spectrophotometry, Infrared
          Male
          Human
          Middle Aged: 45-64 years
          Female
          Male
      ab: Renal interstitial fibrosis and interstitial active inflammation are the main histologic features of renal allograft biopsy specimens. Fibrosis is currently assessed by semiquantitative subjective analysis, and color image analysis has been developed to improve the reliability and repeatability of this evaluation. However, these techniques fail to distinguish fibrosis from constitutive collagen or active inflammation. We developed an automatic, reproducible Fourier-transform infrared (FTIR) imaging-based technique for simultaneous quantification of fibrosis and inflammation in renal allograft biopsy specimens. We generated and validated a classification model using 49 renal biopsy specimens and subsequently tested the robustness of this classification algorithm on 166 renal grafts. Finally, we explored the clinical relevance of fibrosis quantification using FTIR imaging by comparing results with renal function at 3 months after transplantation (M3) and the variation of renal function between M3 and M12. We showed excellent robustness for fibrosis and inflammation classification, with >90% of renal biopsy specimens adequately classified by FTIR imaging. Finally, fibrosis quantification by FTIR imaging correlated with renal function at M3, and the variation in fibrosis between M3 and M12 correlated well with the variation in renal function over the same period. This study shows that FTIR-based analysis of renal graft biopsy specimens is a reproducible and reliable label-free technique for quantifying fibrosis and active inflammation. This technique seems to be more relevant than digital image analysis and promising for both research studies and routine clinical practice.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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