1
|
Rajendran S, Lim JH, Yogalingam K, Kallarakkal TG, Zain RB, Jayasinghe RD, Rimal J, Kerr AR, Amtha R, Patil K, Welikala RA, Lim YZ, Remagnino P, Gibson J, Tilakaratne WM, Liew CS, Yang YH, Barman SA, Chan CS, Cheong SC. Image collection and annotation platforms to establish a multi-source database of oral lesions. Oral Dis 2022. [PMID: 35398971 DOI: 10.1111/odi.14206] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 03/02/2022] [Accepted: 04/06/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To describe the development of a platform for image collection and annotation that resulted in a multi-sourced international image dataset of oral lesions to facilitate the development of automated lesion classification algorithms. MATERIALS AND METHODS We developed a web-interface, hosted on a web server to collect oral lesions images from international partners. Further, we developed a customised annotation tool, also a web-interface for systematic annotation of images to build a rich clinically labelled dataset. We evaluated the sensitivities comparing referral decisions through the annotation process with the clinical diagnosis of the lesions. RESULTS The image repository hosts 2474 images of oral lesions consisting of oral cancer, oral potentially malignant disorders and other oral lesions that were collected through MeMoSA® UPLOAD. Eight-hundred images were annotated by seven oral medicine specialists on MeMoSA® ANNOTATE, to mark the lesion and to collect clinical labels. The sensitivity in referral decision for all lesions that required a referral for cancer management/surveillance was moderate to high depending on the type of lesion (64.3%-100%). CONCLUSION This is the first description of a database with clinically labelled oral lesions. This database could accelerate the improvement of AI algorithms that can promote the early detection of high-risk oral lesions.
Collapse
Affiliation(s)
| | - Jian Han Lim
- Centre of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
| | | | - Thomas George Kallarakkal
- Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia.,Oral Cancer Research and Coordinating Centre (OCRCC), Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia
| | - Rosnah Binti Zain
- Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia.,Oral Cancer Research and Coordinating Centre (OCRCC), Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia.,Faculty of Dentistry, MAHSA University, Bandar Saujana Putra, Malaysia
| | - Ruwan Duminda Jayasinghe
- Department of Oral Medicine and Periodontology, Centre for Research in Oral Cancer, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka
| | - Jyotsna Rimal
- Department of Oral Medicine and Radiology, BP Koirala Institute of Health Sciences, Dharan, Nepal
| | - Alexander Ross Kerr
- Oral and Maxillofacial Pathology, Radiology and Medicine, New York University, New York, New York, USA
| | - Rahmi Amtha
- Faculty of Dentistry, Trisakti University, Jakarta, Indonesia
| | - Karthikeya Patil
- Oral Medicine and Radiology, JSS Dental College and Hospital, JSS Academy of Higher Education & Research, Mysuru, India
| | - Roshan Alex Welikala
- Digital Information Research Centre, Faculty of Science, Engineering and Computing, Kingston University, Surrey, UK
| | - Ying Zhi Lim
- Digital Health Research Unit, Cancer Research Malaysia, Subang Jaya, Malaysia
| | - Paolo Remagnino
- Digital Information Research Centre, Faculty of Science, Engineering and Computing, Kingston University, Surrey, UK
| | - John Gibson
- Institute of Dentistry, University of Aberdeen, Aberdeen, UK
| | - Wanninayake Mudiyanselage Tilakaratne
- Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia.,Department of Oral Medicine and Periodontology, Centre for Research in Oral Cancer, Faculty of Dental Sciences, University of Peradeniya, Peradeniya, Sri Lanka
| | - Chee Sun Liew
- Department of Computer System & Technology, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur, Malaysia.,Centre of Data Analytics, Research Management & Innovation Complex, University of Malaya, Kuala Lumpur, Malaysia.,Centre for Data Science, University of Malaya, Kuala Lumpur, Malaysia
| | - Yi-Hsin Yang
- National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan
| | - Sarah Ann Barman
- Digital Information Research Centre, Faculty of Science, Engineering and Computing, Kingston University, Surrey, UK
| | - Chee Seng Chan
- Centre of Image and Signal Processing, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
| | - Sok Ching Cheong
- Digital Health Research Unit, Cancer Research Malaysia, Subang Jaya, Malaysia.,Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia
| |
Collapse
|
2
|
Ng SW, Syamim Syed Mohd Sobri SN, Zain RB, Kallarakkal TG, Amtha R, Wiranata Wong FA, Rimal J, Durward C, Chea C, Jayasinghe RD, Vatanasapt P, Saleha binti Ibrahim Tamin N, Cheng LC, Mazlipah binti Ismail S, Tepirou C, Ariff bin Abdul Rahman Z, Rajendran S, Kanapathy J, Liew CS, Cheong SC. Barriers to early detection and management of oral cancer in the Asia Pacific region. J Health Serv Res Policy 2022; 27:133-140. [DOI: 10.1177/13558196211053110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Objective Oral cancer is amenable to early detection but remains a prominent cause of mortality in the Asia Pacific region. This study aimed to identify barriers to early detection and management of oral cancer in the Asia Pacific region. Methods A mixed-methods approach was employed triangulating findings from a survey and focus groups. The survey was conducted among seven representative members of the Asia Pacific Oral Cancer Network (APOCNET) across six countries. Focus groups were conducted to gain deeper insights into the findings of the survey. Results The identified barriers were a lack of national cancer control strategies and cancer registries and the limited availability of trained health care professionals. Overcoming these challenges in the Asia Pacific region where resources are scarce will require collaborative partnerships in data collection and novel approaches for continuous professional training including eLearning. Further, to overcome the lack of trained health care professionals, innovative approaches to the management of oral potentially malignant lesions and oral cancer including telemedicine were suggested. Conclusion The findings of this study should be taken into account when charting national cancer control plans for oral cancer and will form the basis for future collaborative studies in evaluating effective measures to improve oral cancer detection and management in low- and middle-income countries.
Collapse
Affiliation(s)
- Sin Wi Ng
- Department of Computer System & Technology, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur, Malaysia
| | - Sharifah Nur Syamim Syed Mohd Sobri
- Department of Computer System & Technology, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur, Malaysia
| | - Rosnah binti Zain
- Department of Oral Pathology Oral Medicine, Faculty of Dentistry, MAHSA University, Selangor, Malaysia
| | - Thomas George Kallarakkal
- Department of Oral & Maxillofacial Clinical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia
| | - Rahmi Amtha
- Faculty of Dentistry, Trisakti University, Jakarta, Indonesia
| | | | - Jyotsna Rimal
- Department of Oral Medicine & Radiology, B.P. Koirala Institute of Health Sciences, Dharan, Nepal
| | | | | | | | - Patravoot Vatanasapt
- Department of Otorhinolaryngology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
- Cancer Unit, Srinagarind Hospital, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thiland
| | | | - Lai Choo Cheng
- Oral Health Programme, Ministry of Health, Kuala Lumpur, Malaysia
| | - Siti Mazlipah binti Ismail
- Department of Oral & Maxillofacial Clinical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia
| | - Chher Tepirou
- Preventive Medicine Department, Ministry of Health, Cambodia
| | | | | | | | - Chee Sun Liew
- Department of Computer System & Technology, Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur, Malaysia
- Data Intensive Computing Centre, Research Management & Innovation Complex, University of Malaya, Kuala Lumpur, Malaysia
- Centre for Data Science, University of Malaya, Kuala Lumpur, Malaysia
| | - Sok Ching Cheong
- Department of Oral & Maxillofacial Clinical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia
- Digital Health, Cancer Research Malaysia, Subang Jaya, Malaysia
| |
Collapse
|