Literature DB >> 22795081

A position paper on standardizing the nonneoplastic kidney biopsy report.

Anthony Chang1, Ian W Gibson, Arthur H Cohen, Jan W Weening, J Charles Jennette, Agnes B Fogo.   

Abstract

The biopsy report for nonneoplastic kidney diseases represents a complex integration of clinical data with light, immunofluorescence, and electron microscopic findings. Practice guidelines for the handling and processing of the renal biopsy have previously been created. However, specific guidelines for essential pathologic parameters that should be included in these pathology reports do not exist. The Renal Pathology Society has coordinated an effort through the formation of an ad hoc committee to enumerate the essential elements and pathologic parameters that should be reported for every biopsy specimen. This endeavor aims to establish a minimum reporting standard and to improve communication between pathologists and other physicians. This document represents the collective effort and consensus opinions of this ad hoc committee of the Renal Pathology Society.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22795081     DOI: 10.1016/j.humpath.2012.04.009

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  6 in total

1.  Mayo Clinic/Renal Pathology Society Consensus Report on Pathologic Classification, Diagnosis, and Reporting of GN.

Authors:  Sanjeev Sethi; Mark Haas; Glen S Markowitz; Vivette D D'Agati; Helmut G Rennke; J Charles Jennette; Ingeborg M Bajema; Charles E Alpers; Anthony Chang; Lynn D Cornell; Fernando G Cosio; Agnes B Fogo; Richard J Glassock; Sundaram Hariharan; Neeraja Kambham; Donna J Lager; Nelson Leung; Michael Mengel; Karl A Nath; Ian S Roberts; Brad H Rovin; Surya V Seshan; Richard J H Smith; Patrick D Walker; Christopher G Winearls; Gerald B Appel; Mariam P Alexander; Daniel C Cattran; Carmen Avila Casado; H Terence Cook; An S De Vriese; Jai Radhakrishnan; Lorraine C Racusen; Pierre Ronco; Fernando C Fervenza
Journal:  J Am Soc Nephrol       Date:  2015-11-13       Impact factor: 10.121

Review 2.  AI applications in renal pathology.

Authors:  Yuankai Huo; Ruining Deng; Quan Liu; Agnes B Fogo; Haichun Yang
Journal:  Kidney Int       Date:  2021-02-10       Impact factor: 10.612

Review 3.  Current status of pediatric renal transplant pathology.

Authors:  Jan U Becker
Journal:  Pediatr Nephrol       Date:  2016-05-24       Impact factor: 3.714

4.  Systematic reporting of medical kidney biopsies.

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

5.  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

6.  PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys.

Authors:  George O Barros; Brenda Navarro; Angelo Duarte; Washington L C Dos-Santos
Journal:  Sci Rep       Date:  2017-04-24       Impact factor: 4.379

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.