The role of technology in melanoma screening and diagnosis
Melanoma presents challenges for timely and accurate diagnosis. Expert panels have issued risk‐based screening guidelines, with recommended screening by visual inspection. To assess how recent technology can impact the risk/benefit considerations for melanoma screening, we comprehensively reviewed n...
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Veröffentlicht in: | Pigment cell and melanoma research 2021-03, Vol.34 (2), p.288-300 |
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container_title | Pigment cell and melanoma research |
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creator | Young, Albert T. Vora, Niki B. Cortez, Jose Tam, Andrew Yeniay, Yildiray Afifi, Ladi Yan, Di Nosrati, Adi Wong, Andrew Johal, Arjun Wei, Maria L. |
description | Melanoma presents challenges for timely and accurate diagnosis. Expert panels have issued risk‐based screening guidelines, with recommended screening by visual inspection. To assess how recent technology can impact the risk/benefit considerations for melanoma screening, we comprehensively reviewed non‐invasive visual‐based technologies. Dermoscopy increases lesional diagnostic accuracy for both dermatologists and primary care providers; total body photography and sequential digital dermoscopic imaging also increase diagnostic accuracy, are supported by automated lesion detection and tracking, and may be best suited to use by dermatologists for longitudinal follow‐up. Specialized imaging modalities using non‐visible light technology have unproven benefit over dermoscopy and can be limited by cost, access, and training requirements. Mobile apps facilitate image capture and lesion tracking. Teledermatology has good concordance with face‐to‐face consultation and increases access, with increased accuracy using dermoscopy. Deep learning models can surpass dermatologist accuracy, but their clinical utility has yet to be demonstrated. Technology‐aided diagnosis may change the calculus of screening; however, well‐designed prospective trials are needed to assess the efficacy of these different technologies, alone and in combination to support refinement of guidelines for melanoma screening. |
doi_str_mv | 10.1111/pcmr.12907 |
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Expert panels have issued risk‐based screening guidelines, with recommended screening by visual inspection. To assess how recent technology can impact the risk/benefit considerations for melanoma screening, we comprehensively reviewed non‐invasive visual‐based technologies. Dermoscopy increases lesional diagnostic accuracy for both dermatologists and primary care providers; total body photography and sequential digital dermoscopic imaging also increase diagnostic accuracy, are supported by automated lesion detection and tracking, and may be best suited to use by dermatologists for longitudinal follow‐up. Specialized imaging modalities using non‐visible light technology have unproven benefit over dermoscopy and can be limited by cost, access, and training requirements. Mobile apps facilitate image capture and lesion tracking. Teledermatology has good concordance with face‐to‐face consultation and increases access, with increased accuracy using dermoscopy. Deep learning models can surpass dermatologist accuracy, but their clinical utility has yet to be demonstrated. Technology‐aided diagnosis may change the calculus of screening; however, well‐designed prospective trials are needed to assess the efficacy of these different technologies, alone and in combination to support refinement of guidelines for melanoma screening.</description><identifier>ISSN: 1755-1471</identifier><identifier>EISSN: 1755-148X</identifier><identifier>DOI: 10.1111/pcmr.12907</identifier><identifier>PMID: 32558281</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Accuracy ; Applications programs ; Clinical trials ; Deep learning ; Dermatology ; Dermoscopy - methods ; Diagnosis ; Diagnosis, Computer-Assisted - methods ; diagnostic imaging ; Diagnostic systems ; Digital imaging ; Early Detection of Cancer - methods ; Guidelines ; Humans ; Image Processing, Computer-Assisted - methods ; Inspection ; Lesions ; Medical imaging ; Melanoma ; Melanoma - diagnosis ; Melanoma - diagnostic imaging ; Mobile computing ; Model accuracy ; Photography ; Photography - methods ; Screening ; Skin Neoplasms - diagnosis ; Skin Neoplasms - diagnostic imaging ; technology ; Technology assessment ; Tracking</subject><ispartof>Pigment cell and melanoma research, 2021-03, Vol.34 (2), p.288-300</ispartof><rights>2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd</rights><rights>2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.</rights><rights>Copyright © 2021 John Wiley & Sons A/S</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4277-60544f5b2b756a0708b6aab5a00876941d58dba9f99530fac426150ae81c131a3</citedby><cites>FETCH-LOGICAL-c4277-60544f5b2b756a0708b6aab5a00876941d58dba9f99530fac426150ae81c131a3</cites><orcidid>0000-0002-4088-2488 ; 0000-0002-3568-1921 ; 0000-0002-7860-0722</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fpcmr.12907$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fpcmr.12907$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32558281$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Young, Albert T.</creatorcontrib><creatorcontrib>Vora, Niki B.</creatorcontrib><creatorcontrib>Cortez, Jose</creatorcontrib><creatorcontrib>Tam, Andrew</creatorcontrib><creatorcontrib>Yeniay, Yildiray</creatorcontrib><creatorcontrib>Afifi, Ladi</creatorcontrib><creatorcontrib>Yan, Di</creatorcontrib><creatorcontrib>Nosrati, Adi</creatorcontrib><creatorcontrib>Wong, Andrew</creatorcontrib><creatorcontrib>Johal, Arjun</creatorcontrib><creatorcontrib>Wei, Maria L.</creatorcontrib><title>The role of technology in melanoma screening and diagnosis</title><title>Pigment cell and melanoma research</title><addtitle>Pigment Cell Melanoma Res</addtitle><description>Melanoma presents challenges for timely and accurate diagnosis. Expert panels have issued risk‐based screening guidelines, with recommended screening by visual inspection. To assess how recent technology can impact the risk/benefit considerations for melanoma screening, we comprehensively reviewed non‐invasive visual‐based technologies. Dermoscopy increases lesional diagnostic accuracy for both dermatologists and primary care providers; total body photography and sequential digital dermoscopic imaging also increase diagnostic accuracy, are supported by automated lesion detection and tracking, and may be best suited to use by dermatologists for longitudinal follow‐up. Specialized imaging modalities using non‐visible light technology have unproven benefit over dermoscopy and can be limited by cost, access, and training requirements. Mobile apps facilitate image capture and lesion tracking. Teledermatology has good concordance with face‐to‐face consultation and increases access, with increased accuracy using dermoscopy. Deep learning models can surpass dermatologist accuracy, but their clinical utility has yet to be demonstrated. Technology‐aided diagnosis may change the calculus of screening; however, well‐designed prospective trials are needed to assess the efficacy of these different technologies, alone and in combination to support refinement of guidelines for melanoma screening.</description><subject>Accuracy</subject><subject>Applications programs</subject><subject>Clinical trials</subject><subject>Deep learning</subject><subject>Dermatology</subject><subject>Dermoscopy - methods</subject><subject>Diagnosis</subject><subject>Diagnosis, Computer-Assisted - methods</subject><subject>diagnostic imaging</subject><subject>Diagnostic systems</subject><subject>Digital imaging</subject><subject>Early Detection of Cancer - methods</subject><subject>Guidelines</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Inspection</subject><subject>Lesions</subject><subject>Medical imaging</subject><subject>Melanoma</subject><subject>Melanoma - diagnosis</subject><subject>Melanoma - diagnostic imaging</subject><subject>Mobile computing</subject><subject>Model accuracy</subject><subject>Photography</subject><subject>Photography - methods</subject><subject>Screening</subject><subject>Skin Neoplasms - diagnosis</subject><subject>Skin Neoplasms - diagnostic imaging</subject><subject>technology</subject><subject>Technology assessment</subject><subject>Tracking</subject><issn>1755-1471</issn><issn>1755-148X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp90E1PwyAcBnBiNG5OL34AQ-LFmHQCLQW8mcW3ZEZjZuKNUEq3Li1MWGP27WV2evAgB-Dw4-GfB4BTjMY4rquVbv0YE4HYHhhiRmmCM_6-_3tneACOQlgilCMq0kMwSAmlnHA8BNezhYHeNQa6Cq6NXljXuPkG1ha2plHWtQoG7Y2xtZ1DZUtY1mpuXajDMTioVBPMye4cgbe729nkIZk-3z9ObqaJzghjSfwzyypakILRXCGGeJErVVCFEGe5yHBJeVkoUQlBU1Sp-CrHFCnDscYpVukIXPS5K-8-OhPWsq2DNk2czrguSJJhSnjcUKTnf-jSdd7G6aISTCDCcxbVZa-0dyF4U8mVr1vlNxIjuW1UbhuV341GfLaL7IrWlL_0p8IIcA8-68Zs_omSL5On1z70C-lBfnI</recordid><startdate>202103</startdate><enddate>202103</enddate><creator>Young, Albert T.</creator><creator>Vora, Niki B.</creator><creator>Cortez, Jose</creator><creator>Tam, Andrew</creator><creator>Yeniay, Yildiray</creator><creator>Afifi, Ladi</creator><creator>Yan, Di</creator><creator>Nosrati, Adi</creator><creator>Wong, Andrew</creator><creator>Johal, Arjun</creator><creator>Wei, Maria L.</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TO</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4088-2488</orcidid><orcidid>https://orcid.org/0000-0002-3568-1921</orcidid><orcidid>https://orcid.org/0000-0002-7860-0722</orcidid></search><sort><creationdate>202103</creationdate><title>The role of technology in melanoma screening and diagnosis</title><author>Young, Albert T. ; Vora, Niki B. ; Cortez, Jose ; Tam, Andrew ; Yeniay, Yildiray ; Afifi, Ladi ; Yan, Di ; Nosrati, Adi ; Wong, Andrew ; Johal, Arjun ; Wei, Maria L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4277-60544f5b2b756a0708b6aab5a00876941d58dba9f99530fac426150ae81c131a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Accuracy</topic><topic>Applications programs</topic><topic>Clinical trials</topic><topic>Deep learning</topic><topic>Dermatology</topic><topic>Dermoscopy - methods</topic><topic>Diagnosis</topic><topic>Diagnosis, Computer-Assisted - methods</topic><topic>diagnostic imaging</topic><topic>Diagnostic systems</topic><topic>Digital imaging</topic><topic>Early Detection of Cancer - methods</topic><topic>Guidelines</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Inspection</topic><topic>Lesions</topic><topic>Medical imaging</topic><topic>Melanoma</topic><topic>Melanoma - diagnosis</topic><topic>Melanoma - diagnostic imaging</topic><topic>Mobile computing</topic><topic>Model accuracy</topic><topic>Photography</topic><topic>Photography - methods</topic><topic>Screening</topic><topic>Skin Neoplasms - diagnosis</topic><topic>Skin Neoplasms - diagnostic imaging</topic><topic>technology</topic><topic>Technology assessment</topic><topic>Tracking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Young, Albert T.</creatorcontrib><creatorcontrib>Vora, Niki B.</creatorcontrib><creatorcontrib>Cortez, Jose</creatorcontrib><creatorcontrib>Tam, Andrew</creatorcontrib><creatorcontrib>Yeniay, Yildiray</creatorcontrib><creatorcontrib>Afifi, Ladi</creatorcontrib><creatorcontrib>Yan, Di</creatorcontrib><creatorcontrib>Nosrati, Adi</creatorcontrib><creatorcontrib>Wong, Andrew</creatorcontrib><creatorcontrib>Johal, Arjun</creatorcontrib><creatorcontrib>Wei, Maria L.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Pigment cell and melanoma research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Young, Albert T.</au><au>Vora, Niki B.</au><au>Cortez, Jose</au><au>Tam, Andrew</au><au>Yeniay, Yildiray</au><au>Afifi, Ladi</au><au>Yan, Di</au><au>Nosrati, Adi</au><au>Wong, Andrew</au><au>Johal, Arjun</au><au>Wei, Maria L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The role of technology in melanoma screening and diagnosis</atitle><jtitle>Pigment cell and melanoma research</jtitle><addtitle>Pigment Cell Melanoma Res</addtitle><date>2021-03</date><risdate>2021</risdate><volume>34</volume><issue>2</issue><spage>288</spage><epage>300</epage><pages>288-300</pages><issn>1755-1471</issn><eissn>1755-148X</eissn><abstract>Melanoma presents challenges for timely and accurate diagnosis. Expert panels have issued risk‐based screening guidelines, with recommended screening by visual inspection. To assess how recent technology can impact the risk/benefit considerations for melanoma screening, we comprehensively reviewed non‐invasive visual‐based technologies. Dermoscopy increases lesional diagnostic accuracy for both dermatologists and primary care providers; total body photography and sequential digital dermoscopic imaging also increase diagnostic accuracy, are supported by automated lesion detection and tracking, and may be best suited to use by dermatologists for longitudinal follow‐up. Specialized imaging modalities using non‐visible light technology have unproven benefit over dermoscopy and can be limited by cost, access, and training requirements. Mobile apps facilitate image capture and lesion tracking. Teledermatology has good concordance with face‐to‐face consultation and increases access, with increased accuracy using dermoscopy. Deep learning models can surpass dermatologist accuracy, but their clinical utility has yet to be demonstrated. Technology‐aided diagnosis may change the calculus of screening; however, well‐designed prospective trials are needed to assess the efficacy of these different technologies, alone and in combination to support refinement of guidelines for melanoma screening.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>32558281</pmid><doi>10.1111/pcmr.12907</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-4088-2488</orcidid><orcidid>https://orcid.org/0000-0002-3568-1921</orcidid><orcidid>https://orcid.org/0000-0002-7860-0722</orcidid></addata></record> |
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subjects | Accuracy Applications programs Clinical trials Deep learning Dermatology Dermoscopy - methods Diagnosis Diagnosis, Computer-Assisted - methods diagnostic imaging Diagnostic systems Digital imaging Early Detection of Cancer - methods Guidelines Humans Image Processing, Computer-Assisted - methods Inspection Lesions Medical imaging Melanoma Melanoma - diagnosis Melanoma - diagnostic imaging Mobile computing Model accuracy Photography Photography - methods Screening Skin Neoplasms - diagnosis Skin Neoplasms - diagnostic imaging technology Technology assessment Tracking |
title | The role of technology in melanoma screening and diagnosis |
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