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The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5308198/ https://www.ncbi.nlm.nih.gov/pubmed/28195576 http://dx.doi.org/10.1038/sdata.2017.5 |
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author | Webster, Dan E. Suver, Christine Doerr, Megan Mounts, Erin Domenico, Lisa Petrie, Tracy Leachman, Sancy A. Trister, Andrew D. Bot, Brian M. |
author_facet | Webster, Dan E. Suver, Christine Doerr, Megan Mounts, Erin Domenico, Lisa Petrie, Tracy Leachman, Sancy A. Trister, Andrew D. Bot, Brian M. |
author_sort | Webster, Dan E. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5308198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53081982017-02-17 The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit Webster, Dan E. Suver, Christine Doerr, Megan Mounts, Erin Domenico, Lisa Petrie, Tracy Leachman, Sancy A. Trister, Andrew D. Bot, Brian M. Sci Data Data Descriptor 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. Nature Publishing Group 2017-02-14 /pmc/articles/PMC5308198/ /pubmed/28195576 http://dx.doi.org/10.1038/sdata.2017.5 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Webster, Dan E. Suver, Christine Doerr, Megan Mounts, Erin Domenico, Lisa Petrie, Tracy Leachman, Sancy A. Trister, Andrew D. Bot, Brian M. The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit |
title | The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit |
title_full | The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit |
title_fullStr | The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit |
title_full_unstemmed | The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit |
title_short | The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit |
title_sort | mole mapper study, mobile phone skin imaging and melanoma risk data collected using researchkit |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5308198/ https://www.ncbi.nlm.nih.gov/pubmed/28195576 http://dx.doi.org/10.1038/sdata.2017.5 |
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