The application of digital pathology to improve accuracy in glomerular enumeration in renal biopsies

Avi Rosenberg, Matthew Palmer, Lino Merlino, Jonathan P. Troost, Adil Gasim, Serena M Bagnasco, Carmen Avila-Casado, Duncan Johnstone, Jeffrey B. Hodgin, Catherine Conway, Brenda W. Gillespie, Cynthia C. Nast, Laura Barisoni, Stephen M. Hewitt

Research output: Contribution to journalArticle

Abstract

Background In renal biopsy reporting, quantitative measurements, such as glomerular number and percentage of globally sclerotic glomeruli, is central to diagnostic accuracy and prognosis. The aim of this study is to determine the number of glomeruli and percent globally sclerotic in renal biopsies by means of registration of serial tissue sections and manual enumeration, compared to the numbers in pathology reports from routine light microscopic assessment. Design We reviewed 277 biopsies from the Nephrotic Syndrome Study Network (NEPTUNE) digital pathology repository, enumerating 9,379 glomeruli by means of whole slide imaging. Glomerular number and the percentage of globally sclerotic glomeruli are values routinely recorded in the official renal biopsy pathology report from the 25 participating centers. Two general trends in reporting were noted: total number per biopsy or average number per level/section. Both of these approaches were assessed for their accuracy in comparison to the analogous numbers of annotated glomeruli on WSI.Results The number of glomeruli annotated was consistently higher than those reported (p

Original languageEnglish (US)
Article numbere0156441
JournalPLoS One
Volume11
Issue number6
DOIs
StatePublished - Jun 1 2016

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Biopsy
Pathology
biopsy
kidneys
Kidney
nephrotic syndrome
Nephrotic Syndrome
prognosis
image analysis
Tissue
Imaging techniques
Light

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

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The application of digital pathology to improve accuracy in glomerular enumeration in renal biopsies. / Rosenberg, Avi; Palmer, Matthew; Merlino, Lino; Troost, Jonathan P.; Gasim, Adil; Bagnasco, Serena M; Avila-Casado, Carmen; Johnstone, Duncan; Hodgin, Jeffrey B.; Conway, Catherine; Gillespie, Brenda W.; Nast, Cynthia C.; Barisoni, Laura; Hewitt, Stephen M.

In: PLoS One, Vol. 11, No. 6, e0156441, 01.06.2016.

Research output: Contribution to journalArticle

Rosenberg, A, Palmer, M, Merlino, L, Troost, JP, Gasim, A, Bagnasco, SM, Avila-Casado, C, Johnstone, D, Hodgin, JB, Conway, C, Gillespie, BW, Nast, CC, Barisoni, L & Hewitt, SM 2016, 'The application of digital pathology to improve accuracy in glomerular enumeration in renal biopsies', PLoS One, vol. 11, no. 6, e0156441. https://doi.org/10.1371/journal.pone.0156441
Rosenberg, Avi ; Palmer, Matthew ; Merlino, Lino ; Troost, Jonathan P. ; Gasim, Adil ; Bagnasco, Serena M ; Avila-Casado, Carmen ; Johnstone, Duncan ; Hodgin, Jeffrey B. ; Conway, Catherine ; Gillespie, Brenda W. ; Nast, Cynthia C. ; Barisoni, Laura ; Hewitt, Stephen M. / The application of digital pathology to improve accuracy in glomerular enumeration in renal biopsies. In: PLoS One. 2016 ; Vol. 11, No. 6.
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AU - Troost, Jonathan P.

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AU - Avila-Casado, Carmen

AU - Johnstone, Duncan

AU - Hodgin, Jeffrey B.

AU - Conway, Catherine

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AU - Hewitt, Stephen M.

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