Mobile Phone Imaging in Low Resource Settings for Early Detection of Oral Cancer and Concordance with Clinical Oral Examination

2017 ◽  
Vol 23 (3) ◽  
pp. 192-199 ◽  
Author(s):  
Nabihah Haron ◽  
Rosnah Binti Zain ◽  
Wan Maria Nabillah ◽  
Amyza Saleh ◽  
Thomas George Kallarakkal ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Early Detection ◽  
Mobile Phone ◽  
Oral Examination ◽  
Low Resource Settings ◽  
Low Resource

scholarly journals MeMoSa: Mobile Mouth Screening Anywhere for Early Detection of Oral Cancer

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 56s-56s
Author(s):  
C. Sok Ching ◽  
Keyword(s):  
High Risk ◽  
Oral Cancer ◽  
Early Detection ◽  
Mobile Phone ◽  
Ease Of Use ◽  
Oral Examination ◽  
Kappa Statistics ◽  
Oral Lesions ◽  
Oral Mucosal Lesions ◽  
Mucosal Lesions

Background: The burden of oral cancer is significant in Asia, accounting for 11% of cancer deaths in Asia compared with 5% in the rest of the world. High and increasing access to mobile phones in low- and middle-income countries presents an opportunity to use telemedicine to facilitate early detection of oral cancer. Aim: To evaluate the feasibility of using the mobile phone as a documentation and communication tool for early detection of high-risk oral lesions. Methods: We determined the concordance between evaluation of oral lesions using mobile phone-captured images and clinical oral examination using kappa statistics. A mobile phone app named MeMoSA was developed and the app was tested during a routine oral cancer screening program in the community to determine the feasibility of integrating this tool for the documentation of oral lesions, and the communication between dentists and specialists with regards to management of these patients. The experience of dentists and specialists in using MeMoSA was determined using qualitative questionnaires. Results: We demonstrated that the mobile phone is a sensitive and specific tool, with a sensitivity of > 80% in detecting a lesion, an accuracy of 87% in categorizing the type of lesion and 85% concordance in patient referral compared with clinical oral examination. Having been trained to use MeMoSA, 36/36 dentists agreed that this app could improve early detection of oral mucosal lesions. All of these dentists wanted to continue using the app as screening tool in the future as they believe that it could assist them in the identification of high-risk oral mucosal lesions through direct communication with specialists. Conclusion: MeMoSA enabled documentation of the lesion through easy photography and facilitated patient management through quick communication between dentists and specialists. Because of its ease of use MeMoSA could be useful tool in early detection of high-risk oral lesions in low-resource settings and could increase the access to healthcare in geographically hard to reach populations.

Cancer prevention and population-based screening

2009 ◽  
Vol 95 (5) ◽  
pp. 597-609 ◽  
Author(s):  
Silvana Luciani ◽  
Lianne Vardy ◽  
Eugenio Paci ◽  
Isaac Adewole ◽  
Annie Sasco ◽  
...  
Keyword(s):  
Early Detection ◽  
Cancer Prevention ◽  
Cancer Control ◽  
World Health ◽  
Comprehensive Cancer Control ◽  
Breast Cancers ◽  
Low Resource Settings ◽  
Screening Programs ◽  
Low Resource ◽  
Control Programs

Cancer prevention, screening and early detection can provide some of the greatest public health benefits for cancer control. In low resource settings, where cancer control is challenged by limited human, financial and technical resources, cancer prevention and screening are of utmost importance and can provide significant impacts on the cancer burden. Public policies, social, environmental and individual level interventions which promote and support healthy eating and physical activity can lower cancer risks. Tobacco use, a significant cancer risk factor, can be reduced through the application of key mandates of the World Health Organization Framework Convention on Tobacco Control. In addition, cancer screening programs, namely for cervical and breast cancers, can have a significant impact on reducing cancer mortality, including in low resource settings. Comprehensive cancer control programs require interventions for cancer prevention, screening and early detection, and involve sectors outside of health to create supportive environments for healthy ways of life. Sharing experiences in implementing cancer control programs in different settings can create opportunities for interchanging ideas and forming international alliances.

Overcoming the Viva Voce Examination Obstacle at Postgraduate Research

2020 ◽  
pp. 97-114
Author(s):  
Nathaniel Mayengo
Keyword(s):  
Formative Assessment ◽  
Oral Examination ◽  
Research Assessment ◽  
Postgraduate Students ◽  
Low Resource Settings ◽  
Low Resource ◽  
Postgraduate Research ◽  
The Way

Most postgraduate programs have viva voce, or oral examination, or thesis defense as a mandatory form of research assessment. This chapter defines viva voce examination, its importance in the assessment of postgraduate students, the way it should be managed, the challenges it presents to the students as well as the staff, and how to overcome it as an obstacle. The chapter provides a handy tool for the guidance and preparation of students and faculty in low-resource settings in the viva process. The author recommends students be gradually and systematically introduced to viva voce examinations as a formative assessment, rather than suddenly as a terminal assessment.

Abstract P1-01-06: Diagnostic accuracy of a novel palpation device to improve early detection of breast cancer in low-resource settings

2020 ◽  
Author(s):  
Maurício M Costa ◽  
Anne F Rositch ◽  
Fernanda PA Pereira ◽  
Hildoberto C de Oliveira ◽  
Carolina F de Oliveira ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Detection ◽  
Diagnostic Accuracy ◽  
Low Resource Settings ◽  
Low Resource

Mobile Oral Cancer Image Classification based on Efficient Deep Learning for Low-resource Settings

2020 ◽  
Author(s):  
Bofan Song ◽  
Sumsum Sunny ◽  
Shaobai Li ◽  
G Keerthi ◽  
Sanjana Patrick ◽  
...  
Keyword(s):  
Deep Learning ◽  
Oral Cancer ◽  
Image Classification ◽  
Low Resource Settings ◽  
Low Resource
Sign in / Sign up

Export Citation Format

Share Document