A Novel Method to Determine Patient Skin Type: The Skin Analyzer
Summary:. Measuring skin color for medical research in an objective and nonbiased manner usually requires expensive equipment such as spectrophotometry and requires the subject to be present in person. We present a novel method to measure skin color from photographs using the Skin Analyzer applicati...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer
2023-10-01
|
| Series: | Plastic and Reconstructive Surgery, Global Open |
| Online Access: | http://journals.lww.com/prsgo/fulltext/10.1097/GOX.0000000000005341 |
| _version_ | 1797646871615766528 |
|---|---|
| author | Youssef Mohamed, PhD Bilal Koussayer, BS Ellie M. Randolph, BS William West, III, MBE Julia A. Morris, BS Nicole K. Le, MD, MPH Kristen Whalen, MD Kristina Gemayel, DO Mahmood J. Al Bayati, MD Jared Troy, MD Jake Laun, MD |
| author_facet | Youssef Mohamed, PhD Bilal Koussayer, BS Ellie M. Randolph, BS William West, III, MBE Julia A. Morris, BS Nicole K. Le, MD, MPH Kristen Whalen, MD Kristina Gemayel, DO Mahmood J. Al Bayati, MD Jared Troy, MD Jake Laun, MD |
| author_sort | Youssef Mohamed, PhD |
| collection | DOAJ |
| description | Summary:. Measuring skin color for medical research in an objective and nonbiased manner usually requires expensive equipment such as spectrophotometry and requires the subject to be present in person. We present a novel method to measure skin color from photographs using the Skin Analyzer application as a more effective, accessible, and efficient alternative. A desktop application, the Skin Analyzer, was developed to convert skin samples collected from digital images to the L*a*b color space and uses those values to calculate an individual typology angle that correlates to a Fitzpatrick skin type. To assess accuracy in variable lighting, six known colors representing the six Fitzpatrick skin types were printed and photographed in 15 separate locations within the hospital. To account for user variability in sample selection, interrater reliability was calculated with data generated by 13 untrained users testing the app on six subjects. The accuracy of measuring known values, which is the classification accuracy, was calculated to be 80%. Krippendorff alpha test was used to evaluate interrater reliability. The obtained alpha of 0.84 indicates a high interrater reliability. The high accuracy and reliability make the Skin Analyzer a suitable method of objectively determining Fitzpatrick skin type from images. The app may be used to investigate the effects of skin tone in various areas of interest, especially in retrospective studies where skin colorimeters cannot be used. |
| first_indexed | 2024-03-11T15:08:02Z |
| format | Article |
| id | doaj.art-9ebb398657be490ca59548d73266e7e2 |
| institution | Directory Open Access Journal |
| issn | 2169-7574 |
| language | English |
| last_indexed | 2024-03-11T15:08:02Z |
| publishDate | 2023-10-01 |
| publisher | Wolters Kluwer |
| record_format | Article |
| series | Plastic and Reconstructive Surgery, Global Open |
| spelling | doaj.art-9ebb398657be490ca59548d73266e7e22023-10-30T03:42:32ZengWolters KluwerPlastic and Reconstructive Surgery, Global Open2169-75742023-10-011110e534110.1097/GOX.0000000000005341202310000-00025A Novel Method to Determine Patient Skin Type: The Skin AnalyzerYoussef Mohamed, PhD0Bilal Koussayer, BS1Ellie M. Randolph, BS2William West, III, MBE3Julia A. Morris, BS4Nicole K. Le, MD, MPH5Kristen Whalen, MD6Kristina Gemayel, DO7Mahmood J. Al Bayati, MD8Jared Troy, MD9Jake Laun, MD10From * University of South Florida Health Morsani College of Medicine, Tampa, Fla.From * University of South Florida Health Morsani College of Medicine, Tampa, Fla.From * University of South Florida Health Morsani College of Medicine, Tampa, Fla.From * University of South Florida Health Morsani College of Medicine, Tampa, Fla.From * University of South Florida Health Morsani College of Medicine, Tampa, Fla.† Department of Plastic Surgery, University of South Florida, Tampa, Fla.† Department of Plastic Surgery, University of South Florida, Tampa, Fla.† Department of Plastic Surgery, University of South Florida, Tampa, Fla.† Department of Plastic Surgery, University of South Florida, Tampa, Fla.† Department of Plastic Surgery, University of South Florida, Tampa, Fla.† Department of Plastic Surgery, University of South Florida, Tampa, Fla.Summary:. Measuring skin color for medical research in an objective and nonbiased manner usually requires expensive equipment such as spectrophotometry and requires the subject to be present in person. We present a novel method to measure skin color from photographs using the Skin Analyzer application as a more effective, accessible, and efficient alternative. A desktop application, the Skin Analyzer, was developed to convert skin samples collected from digital images to the L*a*b color space and uses those values to calculate an individual typology angle that correlates to a Fitzpatrick skin type. To assess accuracy in variable lighting, six known colors representing the six Fitzpatrick skin types were printed and photographed in 15 separate locations within the hospital. To account for user variability in sample selection, interrater reliability was calculated with data generated by 13 untrained users testing the app on six subjects. The accuracy of measuring known values, which is the classification accuracy, was calculated to be 80%. Krippendorff alpha test was used to evaluate interrater reliability. The obtained alpha of 0.84 indicates a high interrater reliability. The high accuracy and reliability make the Skin Analyzer a suitable method of objectively determining Fitzpatrick skin type from images. The app may be used to investigate the effects of skin tone in various areas of interest, especially in retrospective studies where skin colorimeters cannot be used.http://journals.lww.com/prsgo/fulltext/10.1097/GOX.0000000000005341 |
| spellingShingle | Youssef Mohamed, PhD Bilal Koussayer, BS Ellie M. Randolph, BS William West, III, MBE Julia A. Morris, BS Nicole K. Le, MD, MPH Kristen Whalen, MD Kristina Gemayel, DO Mahmood J. Al Bayati, MD Jared Troy, MD Jake Laun, MD A Novel Method to Determine Patient Skin Type: The Skin Analyzer Plastic and Reconstructive Surgery, Global Open |
| title | A Novel Method to Determine Patient Skin Type: The Skin Analyzer |
| title_full | A Novel Method to Determine Patient Skin Type: The Skin Analyzer |
| title_fullStr | A Novel Method to Determine Patient Skin Type: The Skin Analyzer |
| title_full_unstemmed | A Novel Method to Determine Patient Skin Type: The Skin Analyzer |
| title_short | A Novel Method to Determine Patient Skin Type: The Skin Analyzer |
| title_sort | novel method to determine patient skin type the skin analyzer |
| url | http://journals.lww.com/prsgo/fulltext/10.1097/GOX.0000000000005341 |
| work_keys_str_mv | AT youssefmohamedphd anovelmethodtodeterminepatientskintypetheskinanalyzer AT bilalkoussayerbs anovelmethodtodeterminepatientskintypetheskinanalyzer AT elliemrandolphbs anovelmethodtodeterminepatientskintypetheskinanalyzer AT williamwestiiimbe anovelmethodtodeterminepatientskintypetheskinanalyzer AT juliaamorrisbs anovelmethodtodeterminepatientskintypetheskinanalyzer AT nicoleklemdmph anovelmethodtodeterminepatientskintypetheskinanalyzer AT kristenwhalenmd anovelmethodtodeterminepatientskintypetheskinanalyzer AT kristinagemayeldo anovelmethodtodeterminepatientskintypetheskinanalyzer AT mahmoodjalbayatimd anovelmethodtodeterminepatientskintypetheskinanalyzer AT jaredtroymd anovelmethodtodeterminepatientskintypetheskinanalyzer AT jakelaunmd anovelmethodtodeterminepatientskintypetheskinanalyzer AT youssefmohamedphd novelmethodtodeterminepatientskintypetheskinanalyzer AT bilalkoussayerbs novelmethodtodeterminepatientskintypetheskinanalyzer AT elliemrandolphbs novelmethodtodeterminepatientskintypetheskinanalyzer AT williamwestiiimbe novelmethodtodeterminepatientskintypetheskinanalyzer AT juliaamorrisbs novelmethodtodeterminepatientskintypetheskinanalyzer AT nicoleklemdmph novelmethodtodeterminepatientskintypetheskinanalyzer AT kristenwhalenmd novelmethodtodeterminepatientskintypetheskinanalyzer AT kristinagemayeldo novelmethodtodeterminepatientskintypetheskinanalyzer AT mahmoodjalbayatimd novelmethodtodeterminepatientskintypetheskinanalyzer AT jaredtroymd novelmethodtodeterminepatientskintypetheskinanalyzer AT jakelaunmd novelmethodtodeterminepatientskintypetheskinanalyzer |