Point-of-care, smartphone-based, dual-modality, dual-view, oral cancer screening device with neural network classification for low-resource communities

Oral cancer is a growing health issue in a number of low- and middle-income countries (LMIC), particularly in South and Southeast Asia. The described dual-modality, dual-view, point-of-care oral cancer screening device, developed for high-risk populations in remote regions with limited infrastructur...

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Bibliographic Details
Published in:PloS one Vol. 13; no. 12; p. e0207493
Main Authors: Uthoff, Ross D., Song, Bofan, Sunny, Sumsum, Patrick, Sanjana, Suresh, Amritha, Kolur, Trupti, Keerthi, G., Spires, Oliver, Anbarani, Afarin, Wilder-Smith, Petra, Kuriakose, Moni Abraham, Birur, Praveen, Liang, Rongguang
Format: Journal Article
Language:English
Published: United States Public Library of Science 05.12.2018
Public Library of Science (PLoS)
Subjects:
Applications programs
Artificial neural networks
Bioengineering
Cancer
Cancer screening
Classification
Cloud Computing
Computer and Information Sciences
Data processing
Diagnosis
Diagnostic tests
Early Detection of Cancer - instrumentation
Early Detection of Cancer - methods
Electronic mail systems
Engineering and Technology
Fluorescence
Health care
Health care costs
Health risks
Humans
Image classification
LEDs
Lesions
Light emitting diodes
Low income groups
Medical diagnosis
Medical economics
Medical imaging
Medical imaging equipment
Medical screening
Medicine and Health Sciences
Methyltestosterone
Mobile Applications
Morbidity
Mortality
Mouth cancer
Mouth Neoplasms - diagnosis
Neural networks
Neural Networks, Computer
Optical Imaging
Optics
Oral cancer
Oral cavity
Point of care testing
Point-of-Care Systems
Poverty
Remote regions
Research funding
Security devices
Sensitivity and Specificity
Smart phones
Smartphone - instrumentation
Smartphones
Spectrum analysis
Tobacco
White light
California
United States > US
Arizona
India
ISSN:1932-6203, 1932-6203
Online Access:Get full text
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Description
Summary:Oral cancer is a growing health issue in a number of low- and middle-income countries (LMIC), particularly in South and Southeast Asia. The described dual-modality, dual-view, point-of-care oral cancer screening device, developed for high-risk populations in remote regions with limited infrastructure, implements autofluorescence imaging (AFI) and white light imaging (WLI) on a smartphone platform, enabling early detection of pre-cancerous and cancerous lesions in the oral cavity with the potential to reduce morbidity, mortality, and overall healthcare costs. Using a custom Android application, this device synchronizes external light-emitting diode (LED) illumination and image capture for AFI and WLI. Data is uploaded to a cloud server for diagnosis by a remote specialist through a web app, with the ability to transmit triage instructions back to the device and patient. Finally, with the on-site specialist's diagnosis as the gold-standard, the remote specialist and a convolutional neural network (CNN) were able to classify 170 image pairs into 'suspicious' and 'not suspicious' with sensitivities, specificities, positive predictive values, and negative predictive values ranging from 81.25% to 94.94%.
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Competing Interests: The authors have declared that no competing interests exist.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0207493