High referral accuracy for oral cancers and oral potentially malignant disorders using telemedicine

Objective To evaluate the accuracy of MeMoSA (R), a mobile phone application to review images of oral lesions in identifying oral cancers and oral potentially malignant disorders requiring referral. Subjects and Methods A prospective study of 355 participants, including 280 with oral lesions/variant...

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Main Authors: Haron, Nabihah, Rajendran, Senthilmani, Kallarakkal, Thomas George, Zain, Rosnah B, Ramanathan, Anand, Abraham, Mannil Thomas, Lau, Shin Hin, Cheng, Lai Choo, Chong, Sherrie Mei Yee, Mohamed Azahar, Farah Aliya, Mohamad Zaini, Zuraiza, Chan, Siew Wui, Goh, Yet Ching, Lim, Daniel, Khairi, Juliana, Abidin, Marzuki Zainal, Abdul Rahman, Zainal Ariff, Liew, Chee Sun, Fong, Siew Chinn, Yang, Yi-Hsin, Ismail, Siti Mazlipah, Cheong, Sok Ching
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Published: Blackwell Publishing 2023
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Online Access:http://eprints.um.edu.my/39635/
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spelling my.um.eprints.396352024-11-09T07:35:16Z http://eprints.um.edu.my/39635/ High referral accuracy for oral cancers and oral potentially malignant disorders using telemedicine Haron, Nabihah Rajendran, Senthilmani Kallarakkal, Thomas George Zain, Rosnah B Ramanathan, Anand Abraham, Mannil Thomas Lau, Shin Hin Cheng, Lai Choo Chong, Sherrie Mei Yee Mohamed Azahar, Farah Aliya Mohamad Zaini, Zuraiza Chan, Siew Wui Goh, Yet Ching Lim, Daniel Khairi, Juliana Abidin, Marzuki Zainal Abdul Rahman, Zainal Ariff Liew, Chee Sun Fong, Siew Chinn Yang, Yi-Hsin Ismail, Siti Mazlipah Cheong, Sok Ching R Medicine (General) RK Dentistry Oral surgery Objective To evaluate the accuracy of MeMoSA (R), a mobile phone application to review images of oral lesions in identifying oral cancers and oral potentially malignant disorders requiring referral. Subjects and Methods A prospective study of 355 participants, including 280 with oral lesions/variants was conducted. Adults aged >= 18 treated at tertiary referral centres were included. Images of the oral cavity were taken using MeMoSA (R). The identification of the presence of lesion/variant and referral decision made using MeMoSA (R) were compared to clinical oral examination, using kappa statistics for intra-rater agreement. Sensitivity, specificity, concordance and F1 score were computed. Images were reviewed by an off-site specialist and inter-rater agreement was evaluated. Images from sequential clinical visits were compared to evaluate observable changes in the lesions. Results Kappa values comparing MeMoSA (R) with clinical oral examination in detecting a lesion and referral decision was 0.604 and 0.892, respectively. Sensitivity and specificity for referral decision were 94.0% and 95.5%. Concordance and F1 score were 94.9% and 93.3%, respectively. Inter-rater agreement for a referral decision was 0.825. Progression or regression of lesions were systematically documented using MeMoSA (R). Conclusion Referral decisions made through MeMoSA (R) is highly comparable to clinical examination demonstrating it is a reliable telemedicine tool to facilitate the identification of high-risk lesions for early management. Blackwell Publishing 2023-03 Article PeerReviewed Haron, Nabihah and Rajendran, Senthilmani and Kallarakkal, Thomas George and Zain, Rosnah B and Ramanathan, Anand and Abraham, Mannil Thomas and Lau, Shin Hin and Cheng, Lai Choo and Chong, Sherrie Mei Yee and Mohamed Azahar, Farah Aliya and Mohamad Zaini, Zuraiza and Chan, Siew Wui and Goh, Yet Ching and Lim, Daniel and Khairi, Juliana and Abidin, Marzuki Zainal and Abdul Rahman, Zainal Ariff and Liew, Chee Sun and Fong, Siew Chinn and Yang, Yi-Hsin and Ismail, Siti Mazlipah and Cheong, Sok Ching (2023) High referral accuracy for oral cancers and oral potentially malignant disorders using telemedicine. Oral Diseases, 29 (2). pp. 380-389. ISSN 1354-523X, DOI https://doi.org/10.1111/odi.13892 <https://doi.org/10.1111/odi.13892>. 10.1111/odi.13892
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic R Medicine (General)
RK Dentistry
Oral surgery
spellingShingle R Medicine (General)
RK Dentistry
Oral surgery
Haron, Nabihah
Rajendran, Senthilmani
Kallarakkal, Thomas George
Zain, Rosnah B
Ramanathan, Anand
Abraham, Mannil Thomas
Lau, Shin Hin
Cheng, Lai Choo
Chong, Sherrie Mei Yee
Mohamed Azahar, Farah Aliya
Mohamad Zaini, Zuraiza
Chan, Siew Wui
Goh, Yet Ching
Lim, Daniel
Khairi, Juliana
Abidin, Marzuki Zainal
Abdul Rahman, Zainal Ariff
Liew, Chee Sun
Fong, Siew Chinn
Yang, Yi-Hsin
Ismail, Siti Mazlipah
Cheong, Sok Ching
High referral accuracy for oral cancers and oral potentially malignant disorders using telemedicine
description Objective To evaluate the accuracy of MeMoSA (R), a mobile phone application to review images of oral lesions in identifying oral cancers and oral potentially malignant disorders requiring referral. Subjects and Methods A prospective study of 355 participants, including 280 with oral lesions/variants was conducted. Adults aged >= 18 treated at tertiary referral centres were included. Images of the oral cavity were taken using MeMoSA (R). The identification of the presence of lesion/variant and referral decision made using MeMoSA (R) were compared to clinical oral examination, using kappa statistics for intra-rater agreement. Sensitivity, specificity, concordance and F1 score were computed. Images were reviewed by an off-site specialist and inter-rater agreement was evaluated. Images from sequential clinical visits were compared to evaluate observable changes in the lesions. Results Kappa values comparing MeMoSA (R) with clinical oral examination in detecting a lesion and referral decision was 0.604 and 0.892, respectively. Sensitivity and specificity for referral decision were 94.0% and 95.5%. Concordance and F1 score were 94.9% and 93.3%, respectively. Inter-rater agreement for a referral decision was 0.825. Progression or regression of lesions were systematically documented using MeMoSA (R). Conclusion Referral decisions made through MeMoSA (R) is highly comparable to clinical examination demonstrating it is a reliable telemedicine tool to facilitate the identification of high-risk lesions for early management.
format Article
author Haron, Nabihah
Rajendran, Senthilmani
Kallarakkal, Thomas George
Zain, Rosnah B
Ramanathan, Anand
Abraham, Mannil Thomas
Lau, Shin Hin
Cheng, Lai Choo
Chong, Sherrie Mei Yee
Mohamed Azahar, Farah Aliya
Mohamad Zaini, Zuraiza
Chan, Siew Wui
Goh, Yet Ching
Lim, Daniel
Khairi, Juliana
Abidin, Marzuki Zainal
Abdul Rahman, Zainal Ariff
Liew, Chee Sun
Fong, Siew Chinn
Yang, Yi-Hsin
Ismail, Siti Mazlipah
Cheong, Sok Ching
author_facet Haron, Nabihah
Rajendran, Senthilmani
Kallarakkal, Thomas George
Zain, Rosnah B
Ramanathan, Anand
Abraham, Mannil Thomas
Lau, Shin Hin
Cheng, Lai Choo
Chong, Sherrie Mei Yee
Mohamed Azahar, Farah Aliya
Mohamad Zaini, Zuraiza
Chan, Siew Wui
Goh, Yet Ching
Lim, Daniel
Khairi, Juliana
Abidin, Marzuki Zainal
Abdul Rahman, Zainal Ariff
Liew, Chee Sun
Fong, Siew Chinn
Yang, Yi-Hsin
Ismail, Siti Mazlipah
Cheong, Sok Ching
author_sort Haron, Nabihah
title High referral accuracy for oral cancers and oral potentially malignant disorders using telemedicine
title_short High referral accuracy for oral cancers and oral potentially malignant disorders using telemedicine
title_full High referral accuracy for oral cancers and oral potentially malignant disorders using telemedicine
title_fullStr High referral accuracy for oral cancers and oral potentially malignant disorders using telemedicine
title_full_unstemmed High referral accuracy for oral cancers and oral potentially malignant disorders using telemedicine
title_sort high referral accuracy for oral cancers and oral potentially malignant disorders using telemedicine
publisher Blackwell Publishing
publishDate 2023
url http://eprints.um.edu.my/39635/
_version_ 1816130409943007232