Your browser doesn't support javascript.
loading
Validation of digital pathology imaging for primary histopathological diagnosis.
Snead, David R J; Tsang, Yee-Wah; Meskiri, Aisha; Kimani, Peter K; Crossman, Richard; Rajpoot, Nasir M; Blessing, Elaine; Chen, Klaus; Gopalakrishnan, Kishore; Matthews, Paul; Momtahan, Navid; Read-Jones, Sarah; Sah, Shatrughan; Simmons, Emma; Sinha, Bidisa; Suortamo, Sari; Yeo, Yen; El Daly, Hesham; Cree, Ian A.
Afiliação
  • Snead DR; Department of Cellular Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Tsang YW; Centre of Excellence for Digital Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Meskiri A; Department of Cellular Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Kimani PK; Centre of Excellence for Digital Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Crossman R; Centre of Excellence for Digital Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Rajpoot NM; Warwick Medical School, University of Warwick, Coventry, UK.
  • Blessing E; Warwick Medical School, University of Warwick, Coventry, UK.
  • Chen K; Centre of Excellence for Digital Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Gopalakrishnan K; Department of Computer Science, University of Warwick, Coventry, UK.
  • Matthews P; Department of Cellular Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Momtahan N; Department of Cellular Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Read-Jones S; Department of Cellular Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Sah S; Department of Cellular Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Simmons E; Department of Cellular Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Sinha B; Histopathology Department, City Hospital, Birmingham, UK.
  • Suortamo S; Department of Cellular Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Yeo Y; Department of Cellular Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • El Daly H; Department of Cellular Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
  • Cree IA; Department of Cellular Pathology, University Hospitals of Coventry and Warwickshire NHS Trust, Coventry, UK.
Histopathology ; 68(7): 1063-72, 2016 Jun.
Article em En | MEDLINE | ID: mdl-26409165
ABSTRACT

AIMS:

Digital pathology (DP) offers advantages over glass slide microscopy (GS), but data demonstrating a statistically valid equivalent (i.e. non-inferior) performance of DP against GS are required to permit its use in diagnosis. The aim of this study is to provide evidence of non-inferiority. METHODS AND

RESULTS:

Seventeen pathologists re-reported 3017 cases by DP. Of these, 1009 were re-reported by the same pathologist, and 2008 by a different pathologist. Re-examination of 10 138 scanned slides (2.22 terabytes) produced 72 variances between GS and DP reports, including 21 clinically significant variances. Ground truth lay with GS in 12 cases and with DP in nine cases. These results are within the 95% confidence interval for existing intraobserver and interobserver variability, proving that DP is non-inferior to GS. In three cases, the digital platform was deemed to be responsible for the variance, including a gastric biopsy, where Helicobacter pylori only became visible on slides scanned at the ×60 setting, and a bronchial biopsy and penile biopsy, where dysplasia was reported on DP but was not present on GS.

CONCLUSIONS:

This is one of the largest studies proving that DP is equivalent to GS for the diagnosis of histopathology specimens. Error rates are similar in both platforms, although some problems e.g. detection of bacteria, are predictable.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Patologia Clínica / Diagnóstico por Imagem / Interpretação de Imagem Assistida por Computador Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Patologia Clínica / Diagnóstico por Imagem / Interpretação de Imagem Assistida por Computador Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article