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The Mole Mapper Study mobile phone skin imaging and melanoma risk data collected using ResearchKit

机译:使用ResearchKit收集的Mole Mapper研究手机皮肤成像和黑色素瘤风险数据

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摘要

Sensor-embedded phones are an emerging facilitator for participant-driven research studies. Skin cancer research is particularly amenable to this approach, as phone cameras enable self-examination and documentation of mole abnormalities that may signal a progression towards melanoma. Aggregation and open sharing of this participant-collected data can be foundational for research and the development of early cancer detection tools. Here we describe data from Mole Mapper, an iPhone-based observational study built using the Apple ResearchKit framework. The Mole Mapper app was designed to collect participant-provided images and measurements of moles, together with demographic and behavioral information relating to melanoma risk. The study cohort includes 2,069 participants who contributed 1,920 demographic surveys, 3,274 mole measurements, and 2,422 curated mole images. Survey data recapitulates associations between melanoma and known demographic risks, with red hair as the most significant factor in this cohort. Participant-provided mole measurements indicate an average mole size of 3.95 mm. These data have been made available to engage researchers in a collaborative, multidisciplinary effort to better understand and prevent melanoma.
机译:传感器嵌入式电话是参与者驱动型研究的新兴推动者。皮肤癌的研究特别适合这种方法,因为电话摄像头可以自我检查并记录可能预示着黑色素瘤进展的痣异常。收集并公开共享这些参与者收集的数据可以为研究和开发早期癌症检测工具奠定基础。在此,我们描述来自Mole Mapper的数据,该数据是使用Apple ResearchKit框架构建的基于iPhone的观察性研究。 Mole Mapper应用程序旨在收集参与者提供的图像和痣的测量值,以及与黑素瘤风险有关的人口统计和行为信息。该研究队列包括2,069名参与者,他们贡献了1,920个人口统计学调查,3,274个痣测量值和2,422个策展的痣图像。调查数据概述了黑色素瘤与已知人口统计学风险之间的关联,其中红发是该人群中最重要的因素。参与者提供的摩尔测量结果表明,平均摩尔大小为3.95毫米。这些数据已被提供给研究人员,使其参与多学科合作,以更好地了解和预防黑色素瘤。

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