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The Application of Digital Pathology to Improve Accuracy in Glomerular Enumeration in Renal Biopsies.
Rosenberg, Avi Z; Palmer, Matthew; Merlino, Lino; Troost, Jonathan P; Gasim, Adil; Bagnasco, Serena; Avila-Casado, Carmen; Johnstone, Duncan; Hodgin, Jeffrey B; Conway, Catherine; Gillespie, Brenda W; Nast, Cynthia C; Barisoni, Laura; Hewitt, Stephen M.
Afiliação
  • Rosenberg AZ; Department of Pathology, Children's National Medical Center, Washington, DC, United States of America.
  • Palmer M; National Institute of Digestive Diseases and Kidney, National Institutes of Health, Bethesda, MD, United States of America.
  • Merlino L; Department of Pathology, University of Pennsylvania, Philadelphia, PA, United States of America.
  • Troost JP; Department of Pathology, University of Miami, Miami, FL, United States of America.
  • Gasim A; Department of Pediatrics, Division of Pediatric Nephrology, University of Michigan, Ann Arbor, MI, United States of America.
  • Bagnasco S; Department of Pathology, University of North Carolina, Chapel Hill, NC, United States of America.
  • Avila-Casado C; Department of Pathology, The Johns Hopkins School of Medicine, Baltimore, MD, United States of America.
  • Johnstone D; Department of Pathology, Toronto General Hospital, Toronto, Ontario, Canada.
  • Hodgin JB; Department of Medicine, Section of Nephrology, Hypertension and Kidney Transplantation Temple University, Philadelphia, PA, United States of America.
  • Conway C; Department of Pathology, University of Michigan, Ann Arbor, MI, United States of America.
  • Gillespie BW; Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States of America.
  • Nast CC; Biostatistics Department, School of Public Health, University of Michigan, Ann Arbor, MI, United States of America.
  • Barisoni L; Department of Pathology, Cedars-Sinai Medical Center, Los Angeles, CA, United States of America.
  • Hewitt SM; Department of Pathology, University of Miami, Miami, FL, United States of America.
PLoS One ; 11(6): e0156441, 2016.
Article em En | MEDLINE | ID: mdl-27310011
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<0.001); this difference was proportional to the number of glomeruli. In contrast, percent globally sclerotic were similar when calculated on total glomeruli, but greater in FSGS when calculated on average number of glomeruli (p<0.01). The difference in percent globally sclerotic between annotated and those recorded in pathology reports was significant when global sclerosis is greater than 40%.

CONCLUSIONS:

Although glass slides were not available for direct comparison to whole slide image annotation, this study indicates that routine manual light microscopy assessment of number of glomeruli is inaccurate, and the magnitude of this error is proportional to the total number of glomeruli.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / Glomerulosclerose Segmentar e Focal / Glomerulonefrite Membranosa / Glomerulonefrite por IGA / Glomérulos Renais / Síndrome Nefrótica Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Sinais Assistido por Computador / Glomerulosclerose Segmentar e Focal / Glomerulonefrite Membranosa / Glomerulonefrite por IGA / Glomérulos Renais / Síndrome Nefrótica Tipo de estudo: Guideline Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos