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

Author:

Hughes Michael P.12,Labeed Fatima H.2,Hoettges Kai F.3,Porter Stephen4,Mercadante Valeria4ORCID,Kalavrezos Nicholas5,Liew Colin5,McCaul James A.67,Kulkarni Raghav7,Cymerman James78,Kerawala Cyrus9,Barber Julie10,Lewis Mark P.11,Fedele Stefano412ORCID

Affiliation:

1. Department of Biomedical Engineering Khalifa University Abu Dhabi United Arab Emirates

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

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

4. University College London UCL Eastman Dental Institute London UK

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

6. Regional Maxillofacial Unit Queen Elizabeth University Hospital Glasgow UK

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

8. Oral and Maxillofacial Surgery Barts Health NHS Trust London UK

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

10. Department of Statistical Science University College London London UK

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

12. NIHR University College London Hospital Biomedical Research Centre London UK

Abstract

AbstractBackgroundDelays 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.MethodsThe 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).Results40 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.ConclusionThe 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.

Funder

Invention for Innovation Programme

National Institute for Health and Care Research

UCLH Biomedical Research Centre

Publisher

Wiley

Subject

Periodontics,Cancer Research,Otorhinolaryngology,Oral Surgery,Pathology and Forensic Medicine

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