Point-of-care Analysis for Non-invasive Diagnosis of Oral cancer (PANDORA): A technology-development proof of concept diagnostic accuracy study of dielectrophoresis in patients with oral squamous cell carcinoma and dysplasia.


Journal

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
ISSN: 1600-0714
Titre abrégé: J Oral Pathol Med
Pays: Denmark
ID NLM: 8911934

Informations de publication

Date de publication:
Apr 2023
Historique:
received: 10 10 2022
accepted: 17 02 2023
medline: 6 4 2023
pubmed: 23 2 2023
entrez: 22 2 2023
Statut: ppublish

Résumé

Delays in the identification and referral of oral cancer remain frequent. An accurate and non-invasive diagnostic test to be performed in primary care may help identifying oral cancer at an early stage and reduce mortality. Point-of-care Analysis for Non-invasive Diagnosis of Oral cancer (PANDORA) was a proof-of-concept prospective diagnostic accuracy study aimed at advancing the development of a dielectrophoresis-based diagnostic platform for oral squamous cell carcinoma (OSCC) and epithelial dysplasia (OED) using a novel automated DEPtech 3DEP analyser. The aim of PANDORA was to identify the set-up of the DEPtech 3DEP analyser associated with the highest diagnostic accuracy in identifying OSCC and OED from non-invasive brush biopsy samples, as compared to the gold standard test (histopathology). Measures of accuracy included sensitivity, specificity, positive and negative predictive value. Brush biopsies were collected from individuals with histologically proven OSCC and OED, histologically proven benign mucosal disease, and healthy mucosa (standard test), and analysed via dielectrophoresis (index test). 40 individuals with OSCC/OED and 79 with benign oral mucosal disease/healthy mucosa were recruited. Sensitivity and specificity of the index test was 86.8% (95% confidence interval [CI], 71.9%-95.6%) and 83.6% (95% CI, 73.0%-91.2%). Analysing OSCC samples separately led to higher diagnostic accuracy, with 92.0% (95% CI, 74.0%-99.0%) sensitivity and 94.5% (95% CI, 86.6%-98.5%) specificity. The DEPtech 3DEP analyser has the potential to identify OSCC and OED with notable diagnostic accuracy and warrants further investigation as a potential triage test in the primary care setting for patients who may need to progress along the diagnostic pathway and be offered a surgical biopsy.

Sections du résumé

BACKGROUND BACKGROUND
Delays in the identification and referral of oral cancer remain frequent. An accurate and non-invasive diagnostic test to be performed in primary care may help identifying oral cancer at an early stage and reduce mortality. Point-of-care Analysis for Non-invasive Diagnosis of Oral cancer (PANDORA) was a proof-of-concept prospective diagnostic accuracy study aimed at advancing the development of a dielectrophoresis-based diagnostic platform for oral squamous cell carcinoma (OSCC) and epithelial dysplasia (OED) using a novel automated DEPtech 3DEP analyser.
METHODS METHODS
The aim of PANDORA was to identify the set-up of the DEPtech 3DEP analyser associated with the highest diagnostic accuracy in identifying OSCC and OED from non-invasive brush biopsy samples, as compared to the gold standard test (histopathology). Measures of accuracy included sensitivity, specificity, positive and negative predictive value. Brush biopsies were collected from individuals with histologically proven OSCC and OED, histologically proven benign mucosal disease, and healthy mucosa (standard test), and analysed via dielectrophoresis (index test).
RESULTS RESULTS
40 individuals with OSCC/OED and 79 with benign oral mucosal disease/healthy mucosa were recruited. Sensitivity and specificity of the index test was 86.8% (95% confidence interval [CI], 71.9%-95.6%) and 83.6% (95% CI, 73.0%-91.2%). Analysing OSCC samples separately led to higher diagnostic accuracy, with 92.0% (95% CI, 74.0%-99.0%) sensitivity and 94.5% (95% CI, 86.6%-98.5%) specificity.
CONCLUSION CONCLUSIONS
The DEPtech 3DEP analyser has the potential to identify OSCC and OED with notable diagnostic accuracy and warrants further investigation as a potential triage test in the primary care setting for patients who may need to progress along the diagnostic pathway and be offered a surgical biopsy.

Identifiants

pubmed: 36811206
doi: 10.1111/jop.13417
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

305-314

Subventions

Organisme : Invention for Innovation Programme
Organisme : National Institute for Health Research
Organisme : UCLH Biomedical Research Centre

Informations de copyright

© 2023 The Authors. Journal of Oral Pathology & Medicine published by John Wiley & Sons Ltd.

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Auteurs

Michael P Hughes (MP)

Department of Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.
Centre for Biomedical Engineering, School of Mechanical Engineering Sciences, University of Surrey, Surrey, UK.

Fatima H Labeed (FH)

Centre for Biomedical Engineering, School of Mechanical Engineering Sciences, University of Surrey, Surrey, UK.

Kai F Hoettges (KF)

Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, UK.

Stephen Porter (S)

University College London, UCL Eastman Dental Institute, London, UK.

Valeria Mercadante (V)

University College London, UCL Eastman Dental Institute, London, UK.

Nicholas Kalavrezos (N)

Head and Neck Surgery, University College London Hospital (UCLH), London, UK.

Colin Liew (C)

Head and Neck Surgery, University College London Hospital (UCLH), London, UK.

James A McCaul (JA)

Regional Maxillofacial Unit, Queen Elizabeth University Hospital, Glasgow, UK.
Head and Neck Research, Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK.

Raghav Kulkarni (R)

Head and Neck Research, Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK.

James Cymerman (J)

Head and Neck Research, Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK.
Oral and Maxillofacial Surgery, Barts Health NHS Trust, London, UK.

Cyrus Kerawala (C)

Head and Neck Unit, The Royal Marsden Hospital, London, UK.

Julie Barber (J)

Department of Statistical Science, University College London, London, UK.

Mark P Lewis (MP)

School of Sport, Exercise and Health Sciences, Musculoskeletal Biology Research Group, Loughborough University, Leicestershire, UK.

Stefano Fedele (S)

University College London, UCL Eastman Dental Institute, London, UK.
NIHR University College London Hospital Biomedical Research Centre, London, UK.

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