Feasibility Study of a Smartphone Application for Detecting Skin Cancers in People With Albinism

Author:

Rubagumya Fidel12,Nyagabona Sarah K.3,Longombe Ahuka N.4,Manirakiza Achille1,Ngowi John5,Maniragaba Theoneste1,Sabushimike Doriane67,Urusaro Sandra8,Ndoli Diane A.59,Dharsee Nazima59,Mwaiselage Julius5,Mavura Daudi67,Hanna Timothy P.1011,Hammad Nazik10

Affiliation:

1. Department of Oncology, Rwanda Military Hospital, Kigali, Rwanda

2. University of Global Health Equity, Burera, Rwanda

3. Department of Epidemiolgy, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania

4. Polyclinique du Millénaire de Kisangani, Kisangani, Democratic Republic of Congo

5. Department of Oncology, Ocean Road Cancer Institute, Dar es Salaam, Tanzania

6. Department of Dermatology, Regional Dermatology Training Center, Moshi, Tanzania

7. Kilimanjaro Christian Medical Center, Moshi, Tanzania

8. Inshuti Mubuzima, Kigali, Rwanda

9. Department of Oncology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania

10. Division of Cancer Care and Epidemiology, Cancer Research Institute at Queen's University, Kingston, Canada

11. Department of Oncology, Queen’s University, Kingston, Ontario, Canada

Abstract

PURPOSE Albinism affects some facets of the eye’s function and coloration, as well as hair and skin color. The prevalence of albinism is estimated to be one in 2,000-5,000 people in sub-Saharan Africa and one in 270 in Tanzania. People in Tanzania with albinism experience sociocultural and economic disparities. Because of stigma related to albinism, they present to hospitals with advanced disease, including skin cancers. Mobile health (mHealth) can help to bridge some of the gaps in detection and treatment of skin cancers affecting this population. METHODS We assessed the feasibility of using a mobile application (app) for detection of skin cancers among people with albinism. The study was approved by the Ocean Road Cancer Institute institutional review board. Data, including pictures of the lesions, were collected using a mobile smartphone and submitted to expert reviewers. Expert reviewers’ diagnosis options were benign, malignant, or unevaluable. RESULTS A total of 77 lesions from different body locations of 69 participants were captured by the NgoziYangu mobile app. Sixty-two lesions (81%) were considered malignant via the app and referred for biopsy and histologic diagnosis. Of those referred, 55 lesions (89%) were biopsied, and 47 lesions (85%) were confirmed as skin malignancies, whereas eight (15%) were benign. CONCLUSION With an increasing Internet coverage in Africa, there is potential for smartphone apps to improve health care delivery channels. It is important that mobile apps like NgoziYangu be explored to reduce diagnostic delay and improve the accuracy of detection of skin cancer, especially in stigmatized groups.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3