Adaptation of CytoProcessor for cervical cancer screening of challenging slides.


Journal

Diagnostic cytopathology
ISSN: 1097-0339
Titre abrégé: Diagn Cytopathol
Pays: United States
ID NLM: 8506895

Informations de publication

Date de publication:
Sep 2019
Historique:
received: 25 02 2019
revised: 16 04 2019
accepted: 01 05 2019
pubmed: 22 5 2019
medline: 9 1 2020
entrez: 22 5 2019
Statut: ppublish

Résumé

Current automated cervical cytology screening systems require purchase of a dedicated preparation machine and use of a specific staining protocol. CytoProcessor (DATEXIM, Caen, France) is a new automated system, designed to integrate seamlessly into the laboratory's existing workflow. We previously demonstrated the superior performance of CytoProcessor for diagnosis of ThinPrep slides compared to the ThinPrep Imaging System (HOLOGIC, Marlborough, MA). Next, we analyzed whether CytoProcessor technology can be adapted for use on Novaprep slides. Using artificial intelligence, we developed a new algorithm in CytoProcessor for the analysis of slides prepared using the NOVAPREP Processor System NPS50 (Novacyt, Vélizy-Villacoublay, France). A representative population of 309 cases was selected from the routine workflow in a public hospital. We compared the diagnoses made using CytoProcessor or conventional screening with a microscope. All discordances were resolved by a consensus committee. The performance of CytoProcessor in terms of diagnostic accuracy on Novaprep slides was very similar to that observed previously on ThinPrep slides. Compared to conventional screening, CytoProcessor slightly improves diagnostic sensitivity while maintaining a statistically equivalent specificity. Diagnosis was reached 1.6 times faster with CytoProcessor compared to using a microscope. CytoProcessor is a robust automated cervical cytology screening system that can be used successfully with samples having very different characteristics. As previously shown, CytoProcessor confers significant gains in processing time and diagnostic precision. CytoProcessor is accessible through a secured internet connection, making remote diagnosis of Papanicolaou tests possible.

Sections du résumé

BACKGROUND BACKGROUND
Current automated cervical cytology screening systems require purchase of a dedicated preparation machine and use of a specific staining protocol. CytoProcessor (DATEXIM, Caen, France) is a new automated system, designed to integrate seamlessly into the laboratory's existing workflow. We previously demonstrated the superior performance of CytoProcessor for diagnosis of ThinPrep slides compared to the ThinPrep Imaging System (HOLOGIC, Marlborough, MA). Next, we analyzed whether CytoProcessor technology can be adapted for use on Novaprep slides.
METHODS METHODS
Using artificial intelligence, we developed a new algorithm in CytoProcessor for the analysis of slides prepared using the NOVAPREP Processor System NPS50 (Novacyt, Vélizy-Villacoublay, France). A representative population of 309 cases was selected from the routine workflow in a public hospital. We compared the diagnoses made using CytoProcessor or conventional screening with a microscope. All discordances were resolved by a consensus committee.
RESULTS RESULTS
The performance of CytoProcessor in terms of diagnostic accuracy on Novaprep slides was very similar to that observed previously on ThinPrep slides. Compared to conventional screening, CytoProcessor slightly improves diagnostic sensitivity while maintaining a statistically equivalent specificity. Diagnosis was reached 1.6 times faster with CytoProcessor compared to using a microscope.
CONCLUSION CONCLUSIONS
CytoProcessor is a robust automated cervical cytology screening system that can be used successfully with samples having very different characteristics. As previously shown, CytoProcessor confers significant gains in processing time and diagnostic precision. CytoProcessor is accessible through a secured internet connection, making remote diagnosis of Papanicolaou tests possible.

Identifiants

pubmed: 31111676
doi: 10.1002/dc.24213
doi:

Types de publication

Clinical Trial Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

890-897

Subventions

Organisme : European Funds for Regional Development
Organisme : European Union

Informations de copyright

© 2019 Wiley Periodicals, Inc.

Auteurs

Elizabeth F Crowell (EF)

Research Division, DATEXIM, Caen, France.

Cyril Bazin (C)

Research Division, DATEXIM, Caen, France.

Vianney Thurotte (V)

Research Division, DATEXIM, Caen, France.

Hubert Elie (H)

Centre Hospitalier Public du Cotentin, Cherbourg-en-Cotentin, France.

Laurette Jitaru (L)

Centre Hospitalier Public du Cotentin, Cherbourg-en-Cotentin, France.

Grégoire Olivier (G)

Centre Hospitalier Public du Cotentin, Cherbourg-en-Cotentin, France.

Yann Caillot (Y)

Research Division, DATEXIM, Caen, France.

Romain Brixtel (R)

Research Division, DATEXIM, Caen, France.

Boris Lesner (B)

Research Division, DATEXIM, Caen, France.

Matthieu Toutain (M)

Research Division, DATEXIM, Caen, France.

Arnaud Renouf (A)

Research Division, DATEXIM, Caen, France.

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Classifications MeSH