Patients poorly recognize lesions of concern that are malignant melanomas: is self-screening the correct advice?

Author:

Climstein Mike123,Hudson Jeremy14,Stapelberg Michael15,Miller Ian J.15,Rosic Nedeljka16,Coxon Paul4,Furness James7,Walsh Joe89

Affiliation:

1. Aquatic Based Research, Faculty of Health, Southern Cross University, Bilinga, Qld, Australia

2. Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, University of Sydney, Sydney, NSW, Australia

3. Clinical and Health Services Research Group, Faculty of Health, Southern Cross University, Bilinga, Qld, Australia

4. North Queensland Skin Centre, Townsville, Qld, Australia

5. John Flynn Specialist Centre, Tugan, Queensland, Australia

6. Biomedical Sciences, Faculty of Health, Southern Cross University, Bilinga, Qld, Australia

7. Water Based Research Unit, Bond University, Robina, Qld, Australia

8. Sports Science Institute, Sydney, NSW, Australia

9. AI Consulting Group, Sydney, NSW, Australia

Abstract

Background Australia is known for its outdoor culture, with a large percentage of its population engaging in outdoor recreational activities, aquatic, non-aquatic and outdoor occupational activities. However, these outdoor enthusiasts face increased exposure to ultraviolet radiation (UVR), leading to a higher risk of skin cancer, including malignant melanoma (MM). Over the past 40 years, there has been a significant rise in skin cancer rates in Australia, with two out of three Australians expected to develop some form of skin cancer by age 70. Currently, skin cancer examinations are not endorsed in asymptomatic or low-risk individuals in Australia, with only high-risk individuals recommended to undergo regular skin examinations. Notably, the Melanoma Institute Australia suggests that one-half of patients identify MMs themselves, although this claim appears to be based on limited Australian data which may not reflect contemporary practice. Therefore this study sought to determine the percentage of patients who were able to self-identify MMs as lesions of concern when presenting for a skin cancer examination. Methods Multi-site, cross-sectional study design incorporating a descriptive survey and total body skin cancer screening, including artificial intelligence by a skin cancer doctor. Results A total of 260 participants with suspect MM lesions were biopsied, with 83 (31.9%) found to be melanomas. Of the true positive MMs only a small percentage of participants (21.7% specificity) correctly had concerns about the suspect lesion being a MM. These MMs were located primarily on the back (44.4%), shoulder (11.1%) and upper leg (11.1%). There was no significant difference in the size between those participants aware of a MM versus those who were not (P = 0.824, 24.6 vs 23.4 mm2). Significantly more males identified lesions of concern that were MMs as compared to females (P = 0.008, 61.1% vs 38.9%, respectively). With regard to true negatives males and females were similar (52.1% vs 47.9%, respectively). With regard to false negatives (n = 65), a greater percentage of males than females did not recognize the MM as a lesion of concern (66.2% vs 33.8%, respectively). Participants were more likely to correctly identify an invasive MM as opposed to an in situ MM (27.3% versus 21.3%). Conclusions Only a small percentage of participants in this study were able to self-identify either in situ or invasive MM as a lesion of concern with a tendency to identify the more advanced, thicker MMs. Given that MM is associated with a high mortality and cost of treatment, particularly when invasive, the inability of lay persons to identify these cancerous lesions will likely lead to delayed treatment and a possible adverse outcome. We believe the current melanoma screening practices in Australian general practice should be revisited to improve patient outcomes with regard to MM. Additionally, prevention campaigns should include images and primary risk factors for MM.

Funder

Johnson and Johnson for the purchase of the high-resolution digital dermatoscope with artificial intelligence

Publisher

PeerJ

Reference67 articles.

1. Causes of death, Australia;Australian Bureau of Statistics,2023

2. Melanoma of the skin statistics;Australian Government Cancer Australia,2022

3. Cancer data in Australia;Australian Institute of Health and Welfare,2023

4. Dysplastic (Atypical) Nevus;BC Cancer,2023

5. Factors related to non-attendance in a population based melanoma screening program;Bergenmar;Psychooncology,1997

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