Quantitative Digital Histochemistry With Methenamine Silver Staining in Renal Allograft Biopsies Excluding Pure Chronic Allograft Nephropathy Cases

Sarıoğlu, Sülen; Sis, B.; Celik, Ali; Tekis, D.; Kavukçu, Salìh; Bora, Seymen; Camsari, Taner

doi:10.1016/j.transproceed.2005.12.061

Cited by 8 publications

(6 citation statements)

References 8 publications

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“…Most of the studies on graft kidney biopsy use DIA techniques to explore the role of several biopsy features ranging from fibrosis evaluated with special stains to the expression and quantification of specific IHC markers in determining organ outcome,[68697071727374757677787980818283] as well as signs of acute rejection. [84858687888990919293] In all of these studies, there is no direct comparison of DIA evaluation with manual pathologist results.…”

Section: Methodsmentioning

confidence: 99%

The Landscape of Digital Pathology in Transplantation: From the Beginning to the Virtual E-Slide

Girolami¹,

Parwani

Barresi³

et al. 2019

Journal of Pathology Informatics

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Background: Digital pathology has progressed over the last two decades, with many clinical and nonclinical applications. Transplantation pathology is a highly specialized field in which the majority of practicing pathologists do not have sufficient expertise to handle critical needs. In this context, digital pathology has proven to be useful as it allows for timely access to expert second-opinion teleconsultation. The aim of this study was to review the experience of the application of digital pathology to the field of transplantation. Methods: Papers on this topic were retrieved using PubMed as a search engine. Inclusion criteria were the presence of transplantation setting and the use of any type of digital image with or without the use of image analysis tools; the search was restricted to English language papers published in the 25 years until December 31, 2018. Results: Literature regarding digital transplant pathology is mostly about the digital interpretation of posttransplant biopsies (75 vs. 19), with 15/75 (20%) articles focusing on agreement/reproducibility. Several papers concentrated on the correlation between biopsy features assessed by digital image analysis (DIA) and clinical outcome (45/75, 60%). Whole-slide imaging (WSI) only appeared in recent publications, starting from 2011 (13/75, 17.3%). Papers dealing with preimplantation biopsy are less numerous, the majority (13/19, 68.4%) of which focus on diagnostic agreement between digital microscopy and light microscopy (LM), with WSI technology being used in only a small quota of papers (4/19, 21.1%). Conclusions: Overall, published studies show good concordance between digital microscopy and LM modalities for diagnosis. DIA has the potential to increase diagnostic reproducibility and facilitate the identification and quantification of histological parameters. Thus, with advancing technology such as faster scanning times, better image resolution, and novel image algorithms, it is likely that WSI will eventually replace LM.

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Section: Methodsmentioning

confidence: 99%

The Landscape of Digital Pathology in Transplantation: From the Beginning to the Virtual E-Slide

Girolami¹,

Parwani

Barresi³

et al. 2019

Journal of Pathology Informatics

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“…First, sparing the glomerular tuft, all the surrounding areas were cleaned by manual selection at the Windows Paint Brush Program leaving only the glomerular tuft at a black background. For each captured area, the percentage of stained area with the color of selection was determined semiautomatically followed by automatic measurements by image analysis software (Mediscope, by Mustafa Sakar 5,[9][10][11][12][13] ). The software was intended for color segmentation including a determined neighborhood of colors.…”

Section: Image Analysismentioning

confidence: 99%

“…To allow the pathologist to repeat the procedure till achieving optimum selection, each selected view could be examined by the pathologist. 5,[9][10][11][12][13] The interobserver and intraobserver reliabilities of this method were evaluated previously for histochemistry. 10 By this application "intensity" was determined.…”

Section: Image Analysismentioning

confidence: 99%

Quantification of Immune Deposits in Renal Diseases

Sarıoğlu

Ünlü²,

Şakar³

et al. 2011

Applied Immunohistochemistry &Amp; Molecular Morphology

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In this series of renal diseases, in addition to semiquantitative scoring of direct immunofluorescein images, the immune deposits were quantified by image analysis. The aim of this study was to evaluate quantitative measurements for diagnosis and prognosis of renal immune complex diseases. Immunoglobulin A (IgA) nephropathy (n=27, 54%), membranous nephropathy (n=8, 16%), membranoproliferative glomerulonephritis (n=8, 16%), and systemic lupus erithematosus nephritis cases (n=7, 14%) were evaluated by semiquantitative scores (SS) for IgG, IgA, IgM, C3, C1q, λ, and κ. The quantitative measures, intensity, mean and total optical density (MOD and TOD) were determined by image analysis software. There was positive correlation between SS; and intensity as well as TOD for 199 positive stained images, but not between SS and MOD. TOD was important for determining SS by linear regression. When all of the cases were considered, creatinin at the time of biopsy was only slightly correlated with intensity and TOD of IgM. Intensity and TOD, but not SS of IgA was significantly increased in IgA nephropathy cases with adverse histopathologic prognostic features. In 4 cases (8%) only TOD allowed identification of the predominantly deposited antibody. TOD and intensity seems to have better correlation with prognostic histopathologic features than SS. TOD may be useful for determining predominant immune deposit, a feature important for diagnosis.

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“…Nicholson et al ont développé une méthode semiquantitative pour mesurer la fibrose sur des sections biopsiques dont le marquage immunohistochimique reconnaît le collagène III [14]. D'autres ont mesuré le pourcentage de FI sur des sections de biopsies marquées par une solution d'argent-méthénamine par méthode morphomé-trique [15,16]. En effet, le collagène, les fibres de réti-culine ainsi que les muccopolysaccharides de la matrice extracellulaire sont marqués par la méthénamine.…”

Section: Méthodes Morphométriquesunclassified

Apports récents des techniques de quantification de la fibrose pour l’examen anatomopathologique en transplantation rénale

et al. 2009

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Quantitative Digital Histochemistry With Methenamine Silver Staining in Renal Allograft Biopsies Excluding Pure Chronic Allograft Nephropathy Cases

Cited by 8 publications

References 8 publications

The Landscape of Digital Pathology in Transplantation: From the Beginning to the Virtual E-Slide

The Landscape of Digital Pathology in Transplantation: From the Beginning to the Virtual E-Slide

Quantification of Immune Deposits in Renal Diseases

Apports récents des techniques de quantification de la fibrose pour l’examen anatomopathologique en transplantation rénale

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