Diagnostic Validation of a Whole-Slide Imaging Scanner in Cytological Samples: Diagnostic Accuracy and Comparison With Light Microscopy.


Journal

Veterinary pathology
ISSN: 1544-2217
Titre abrégé: Vet Pathol
Pays: United States
ID NLM: 0312020

Informations de publication

Date de publication:
05 2019
Historique:
pubmed: 29 1 2019
medline: 14 6 2019
entrez: 29 1 2019
Statut: ppublish

Résumé

Digital slides created by whole-slide imaging scanners can be evaluated by pathologists located in remote sites, but the process must be validated before this technology can be applied to routine cytological diagnosis. The aim of this study was to validate a whole-slide imaging scanner for cytological samples. Sixty cytological samples, whose diagnoses were confirmed by gold-standard examinations (histology or flow cytometry), were digitalized using a whole-slide imaging scanner. Digital slides and glass slides were examined by 3 observers with different levels of cytopathological expertise. No significant differences were noted between digital and glass slides in regard to the number of cases correctly diagnosed, or the sensitivity, specificity, or diagnostic accuracy, irrespective of the observers' expertise. The agreements between the digital slides and the gold-standard examinations were moderate to substantial, while the agreements between the glass slides and the gold-standard examinations were substantial for all 3 observers. The intraobserver agreements between digital and glass slides were substantial to almost perfect. The interobserver agreements when evaluating digital slides were moderate between observers 1 and 2 and between observers 1 and 3 while they were substantial between observers 2 and 3. In conclusion, our study demonstrated that the digital slides produced by the whole-slide imaging scanner are adequate to diagnose cytological samples and are similar among clinical pathologists with differing levels of expertise.

Identifiants

pubmed: 30686128
doi: 10.1177/0300985818825128
doi:

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

429-434

Auteurs

Federico Bonsembiante (F)

1 Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro (PD), Italy.

Ugo Bonfanti (U)

2 La Vallonèa Veterinary Diagnostic Laboratory, Passirana di Rho (MI), Italy.

Francesco Cian (F)

3 Batt Laboratories, Coventry, UK.

Laura Cavicchioli (L)

1 Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro (PD), Italy.

Beatrice Zattoni (B)

1 Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro (PD), Italy.

Maria Elena Gelain (ME)

1 Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro (PD), Italy.

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Classifications MeSH