A smart tele-cytology point-of-care platform for oral cancer screening.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2019
2019
Historique:
received:
30
05
2019
accepted:
23
10
2019
entrez:
16
11
2019
pubmed:
16
11
2019
medline:
24
3
2020
Statut:
epublish
Résumé
Early detection of oral cancer necessitates a minimally invasive, tissue-specific diagnostic tool that facilitates screening/surveillance. Brush biopsy, though minimally invasive, demands skilled cyto-pathologist expertise. In this study, we explored the clinical utility/efficacy of a tele-cytology system in combination with Artificial Neural Network (ANN) based risk-stratification model for early detection of oral potentially malignant (OPML)/malignant lesion. A portable, automated tablet-based tele-cytology platform capable of digitization of cytology slides was evaluated for its efficacy in the detection of OPML/malignant lesions (n = 82) in comparison with conventional cytology and histology. Then, an image pre-processing algorithm was established to segregate cells, ANN was trained with images (n = 11,981) and a risk-stratification model developed. The specificity, sensitivity and accuracy of platform/ stratification model were computed, and agreement was examined using Kappa statistics. The tele-cytology platform, Cellscope, showed an overall accuracy of 84-86% with no difference between tele-cytology and conventional cytology in detection of oral lesions (kappa, 0.67-0.72). However, OPML could be detected with low sensitivity (18%) in accordance with the limitations of conventional cytology. The integration of image processing and development of an ANN-based risk stratification model improved the detection sensitivity of malignant lesions (93%) and high grade OPML (73%), thereby increasing the overall accuracy by 30%. Tele-cytology integrated with the risk stratification model, a novel strategy established in this study, can be an invaluable Point-of-Care (PoC) tool for early detection/screening in oral cancer. This study hence establishes the applicability of tele-cytology for accurate, remote diagnosis and use of automated ANN-based analysis in improving its efficacy.
Identifiants
pubmed: 31730638
doi: 10.1371/journal.pone.0224885
pii: PONE-D-19-15321
pmc: PMC6857853
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0224885Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Déclaration de conflit d'intérêts
LL, PG, and MK are paid employees of Siemens Healthcare Pvt Ltd and Siemens Healthineers at the time that a major part of this work was carried out. Some of the Siemens employees are also owners of Siemens shares. Dr Fletcher is co-founder of CellScope Inc., a company commercializing a cell-phone based microscope. CellScope Inc had no involvement with the study described in the manuscript. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
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