Literature DB >> 32866505

Consensus definitions for glomerular lesions by light and electron microscopy: recommendations from a working group of the Renal Pathology Society.

Mark Haas1, Surya V Seshan2, Laura Barisoni3, Kerstin Amann4, Ingeborg M Bajema5, Jan Ulrich Becker6, Kensuke Joh7, Danica Ljubanovic8, Ian S D Roberts9, Joris J Roelofs10, Sanjeev Sethi11, Caihong Zeng12, J Charles Jennette13.   

Abstract

Over the past 2 decades, scoring systems for multiple glomerular diseases have emerged, as have consortia of pathologists and nephrologists for the study of glomerular diseases, including correlation of pathologic findings with clinical features and outcomes. However, one important limitation faced by members of these consortia and other renal pathologists and nephrologists in both investigative work and routine practice remains a lack of uniformity and precision in clearly defining the morphologic lesions on which the scoring systems are based. In response to this issue, the Renal Pathology Society organized a working group to identify the most frequently identified glomerular lesions observed by light microscopy and electron microscopy, review the literature to capture the published definitions most often used for each, and determine consensus terms and definitions for each lesion in a series of online and in-person meetings. The defined lesions or abnormal findings are not specific for any individual disease or subset of diseases, but rather can be applied across the full spectrum of glomerular diseases and within the context of the different scoring systems used for evaluating and reporting these diseases. In addition to facilitating glomerular disease research, standardized terms and definitions should help harmonize reporting of medical kidney diseases worldwide and lead to more-precise diagnoses and improved patient care.
Copyright © 2020 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  electron microscopy; glomerulonephritis; glomerulus; kidney biopsy; renal pathology

Mesh:

Year:  2020        PMID: 32866505     DOI: 10.1016/j.kint.2020.08.006

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  10 in total

1.  Kidney Biopsy Features Most Predictive of Clinical Outcomes in the Spectrum of Minimal Change Disease and Focal Segmental Glomerulosclerosis.

Authors:  Jarcy Zee; Qian Liu; Abigail R Smith; Jeffrey B Hodgin; Avi Rosenberg; Brenda W Gillespie; Lawrence B Holzman; Laura Barisoni; Laura H Mariani
Journal:  J Am Soc Nephrol       Date:  2022-05-17       Impact factor: 14.978

Review 2.  The potential of artificial intelligence-based applications in kidney pathology.

Authors:  Roman D Büllow; Jon N Marsh; S Joshua Swamidass; Joseph P Gaut; Peter Boor
Journal:  Curr Opin Nephrol Hypertens       Date:  2022-02-14       Impact factor: 3.416

3.  Vascular Occlusion in Kidney Biopsy Is Characteristic of Clinically Manifesting Thrombotic Microangiopathy.

Authors:  Marja Kovala; Minna Seppälä; Kati Kaartinen; Seppo Meri; Eero Honkanen; Anne Räisänen-Sokolowski
Journal:  J Clin Med       Date:  2022-05-31       Impact factor: 4.964

4.  Application of direct stochastic optical reconstruction microscopy (dSTORM) to the histological analysis of human glomerular disease.

Authors:  Candice A Roufosse; Paul Mw French; Edwin Garcia; Jonathan Lightley; Sunil Kumar; Ranjan Kalita; Frederik Gőrlitz; Yuriy Alexandrov; Terry Cook; Christopher Dunsby; Mark Aa Neil
Journal:  J Pathol Clin Res       Date:  2021-05-21

5.  Impact of Consensus Definitions on Identification of Glomerular Lesions by Light and Electron Microscopy.

Authors:  Mark Haas; James Mirocha; Kerstin Amann; Ingeborg M Bajema; Laura Barisoni; Jan Ulrich Becker; J Charles Jennette; Kenuske Joh; Danica Galesic Ljubanovic; Ian S D Roberts; Joris J Roelofs; Sanjeev Sethi; Raul Suarez; Caihong Zeng; Surya V Seshan
Journal:  Kidney Int Rep       Date:  2021-10-29

6.  Systematic reporting of medical kidney biopsies.

Authors:  Sabine Leh; Amélie Dendooven
Journal:  Clin Kidney J       Date:  2021-07-23

7.  Natural Language Processing in Diagnostic Texts from Nephropathology.

Authors:  Maximilian Legnar; Philipp Daumke; Jürgen Hesser; Stefan Porubsky; Zoran Popovic; Jan Niklas Bindzus; Joern-Helge Heinrich Siemoneit; Cleo-Aron Weis
Journal:  Diagnostics (Basel)       Date:  2022-07-15

8.  The serum free triiodothyronine to free thyroxine ratio as a potential prognostic biomarker of chronic kidney disease in patients with glomerular crescents: A retrospective study.

Authors:  Liwen Zhang; Yuxiao Wu; Yuxin Nie; Wenlv Lv; Yang Li; Bowen Zhu; Shi Jin; Ziyan Shen; Fang Li; Hong Liu; Yi Fang; Xiaoqiang Ding
Journal:  Front Endocrinol (Lausanne)       Date:  2022-09-29       Impact factor: 6.055

Review 9.  How will artificial intelligence and bioinformatics change our understanding of IgA Nephropathy in the next decade?

Authors:  Roman David Bülow; Daniel Dimitrov; Peter Boor; Julio Saez-Rodriguez
Journal:  Semin Immunopathol       Date:  2021-04-09       Impact factor: 9.623

10.  Renal Protective Effects of Inonotus obliquus on High-Fat Diet/Streptozotocin-Induced Diabetic Kidney Disease Rats: Biochemical, Color Doppler Ultrasound and Histopathological Evidence.

Authors:  Yan Zhang; Hui Liao; Dayue Shen; Xilan Zhang; Jufang Wang; Xiaohong Zhang; Xiaocheng Wang; Rongshan Li
Journal:  Front Pharmacol       Date:  2022-01-17       Impact factor: 5.810

  10 in total

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