Literature DB >> 9861532

The use of the PAPNET automated cytological screening system for the diagnosis of oral squamous carcinoma.

T S Levine1, V Njemenze, J G Cowpe, D V Coleman.   

Abstract

The automated PAPNET screening system has been developed to recognize abnormal cells in cervical smears. Given that the oral mucosa sheds cells resembling superficial and intermediate cells of the cervix, the aim of this study was to assess whether the PAPNET system could be used to detect dysplastic cells in oral mucosal smears. Sixty-two oral smears from 27 patients were examined by both light microscopy and using the PAPNET system from clinically abnormal and normal areas by two pathologists. The clinically abnormal sites were also biopsied for histological analysis. There was 100% correlation between the manual and PAPNET screening results. Cytological interpretation of oral smears by both manual and PAPNET screening methods correctly diagnosed squamous cell carcinoma in 14/23 (61%) of patients who had all been confirmed by biopsy. The nine patients with false-negative cases could be attributed to poor smear technique and preparation. The PAPNET system can be used to identify abnormal cells in oral smears and, as such, may have an application for screening those populations at high risk of oral cancer--provided that adequate tuition is given in smear technique.

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Year:  1998        PMID: 9861532     DOI: 10.1046/j.1365-2303.1998.00126.x

Source DB:  PubMed          Journal:  Cytopathology        ISSN: 0956-5507            Impact factor:   2.073


  6 in total

Review 1.  [Oral cytology: historical development, current status, and perspectives].

Authors:  M Hullmann; T E Reichert; R Dahse; F von Eggeling; H Pistner; H Kosmehl; O Driemel
Journal:  Mund Kiefer Gesichtschir       Date:  2007-01

Review 2.  Diagnostic tests for oral cancer and potentially malignant disorders in patients presenting with clinically evident lesions.

Authors:  Richard Macey; Tanya Walsh; Paul Brocklehurst; Alexander R Kerr; Joseph L Y Liu; Mark W Lingen; Graham R Ogden; Saman Warnakulasuriya; Crispian Scully
Journal:  Cochrane Database Syst Rev       Date:  2015-05-29

3.  The efficacy of oral brush biopsy with computer-assisted analysis in identifying precancerous and cancerous lesions.

Authors:  Ravi Mehrotra; Sanjay Mishra; Mamta Singh; Mangal Singh
Journal:  Head Neck Oncol       Date:  2011-08-24

Review 4.  Artificial Neural Networks as Decision Support Tools in Cytopathology: Past, Present, and Future.

Authors:  Abraham Pouliakis; Efrossyni Karakitsou; Niki Margari; Panagiotis Bountris; Maria Haritou; John Panayiotides; Dimitrios Koutsouris; Petros Karakitsos
Journal:  Biomed Eng Comput Biol       Date:  2016-02-18

Review 5.  Artificial neural network in diagnostic cytology.

Authors:  Pranab Dey
Journal:  Cytojournal       Date:  2022-04-02       Impact factor: 2.091

6.  Diagnostic tests for oral cancer and potentially malignant disorders in patients presenting with clinically evident lesions.

Authors:  Tanya Walsh; Richard Macey; Alexander R Kerr; Mark W Lingen; Graham R Ogden; Saman Warnakulasuriya
Journal:  Cochrane Database Syst Rev       Date:  2021-07-20
  6 in total

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