A smart tele-cytology point-of-care platform for oral cancer screening.
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...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2019-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0224885 |
| _version_ | 1818591819171102720 |
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| author | Sumsum Sunny Arun Baby Bonney Lee James Dev Balaji Aparna N V Maitreya H Rana Praveen Gurpur Arunan Skandarajah Michael D'Ambrosio Ravindra Doddathimmasandra Ramanjinappa Sunil Paramel Mohan Nisheena Raghavan Uma Kandasarma Sangeetha N Subhasini Raghavan Naveen Hedne Felix Koch Daniel A Fletcher Sumithra Selvam Manohar Kollegal Praveen Birur N Lance Ladic Amritha Suresh Hardik J Pandya Moni Abraham Kuriakose |
| author_facet | Sumsum Sunny Arun Baby Bonney Lee James Dev Balaji Aparna N V Maitreya H Rana Praveen Gurpur Arunan Skandarajah Michael D'Ambrosio Ravindra Doddathimmasandra Ramanjinappa Sunil Paramel Mohan Nisheena Raghavan Uma Kandasarma Sangeetha N Subhasini Raghavan Naveen Hedne Felix Koch Daniel A Fletcher Sumithra Selvam Manohar Kollegal Praveen Birur N Lance Ladic Amritha Suresh Hardik J Pandya Moni Abraham Kuriakose |
| author_sort | Sumsum Sunny |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T10:18:29Z |
| format | Article |
| id | doaj.art-778ad962b6e14a218000ab3e191abedb |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-16T10:18:29Z |
| publishDate | 2019-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-778ad962b6e14a218000ab3e191abedb2022-12-21T22:35:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011411e022488510.1371/journal.pone.0224885A smart tele-cytology point-of-care platform for oral cancer screening.Sumsum SunnyArun BabyBonney Lee JamesDev BalajiAparna N VMaitreya H RanaPraveen GurpurArunan SkandarajahMichael D'AmbrosioRavindra Doddathimmasandra RamanjinappaSunil Paramel MohanNisheena RaghavanUma KandasarmaSangeetha NSubhasini RaghavanNaveen HedneFelix KochDaniel A FletcherSumithra SelvamManohar KollegalPraveen Birur NLance LadicAmritha SureshHardik J PandyaMoni Abraham KuriakoseEarly 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.https://doi.org/10.1371/journal.pone.0224885 |
| spellingShingle | Sumsum Sunny Arun Baby Bonney Lee James Dev Balaji Aparna N V Maitreya H Rana Praveen Gurpur Arunan Skandarajah Michael D'Ambrosio Ravindra Doddathimmasandra Ramanjinappa Sunil Paramel Mohan Nisheena Raghavan Uma Kandasarma Sangeetha N Subhasini Raghavan Naveen Hedne Felix Koch Daniel A Fletcher Sumithra Selvam Manohar Kollegal Praveen Birur N Lance Ladic Amritha Suresh Hardik J Pandya Moni Abraham Kuriakose A smart tele-cytology point-of-care platform for oral cancer screening. PLoS ONE |
| title | A smart tele-cytology point-of-care platform for oral cancer screening. |
| title_full | A smart tele-cytology point-of-care platform for oral cancer screening. |
| title_fullStr | A smart tele-cytology point-of-care platform for oral cancer screening. |
| title_full_unstemmed | A smart tele-cytology point-of-care platform for oral cancer screening. |
| title_short | A smart tele-cytology point-of-care platform for oral cancer screening. |
| title_sort | smart tele cytology point of care platform for oral cancer screening |
| url | https://doi.org/10.1371/journal.pone.0224885 |
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