Intra‐ and inter‐rater reliability of digital image analysis for skin color measurement. Issue 4 (28th March 2013)
- Record Type:
- Journal Article
- Title:
- Intra‐ and inter‐rater reliability of digital image analysis for skin color measurement. Issue 4 (28th March 2013)
- Main Title:
- Intra‐ and inter‐rater reliability of digital image analysis for skin color measurement
- Authors:
- Sommers, Marilyn
Beacham, Barbara
Baker, Rachel
Fargo, Jamison - Abstract:
- <abstract abstract-type="main" id="srt12066-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="srt12072-sec-0001" sec-type="section"> <title>Background</title> <p>We determined the intra‐ and inter‐rater reliability of data from digital image color analysis between an expert and novice analyst.</p> </sec> <sec id="srt12072-sec-0002" sec-type="section"> <title>Methods</title> <p>Following training, the expert and novice independently analyzed 210 randomly ordered images. Both analysts used Adobe<sup>®</sup> Photoshop lasso or color sampler tools based on the type of image file. After color correction with Pictocolor<sup>®</sup> in camera software, they recorded L*a*b* (L*=light/dark; a*=red/green; b*=yellow/blue) color values for all skin sites. We computed intra‐rater and inter‐rater agreement within anatomical region, color value (L*, a*, b*), and technique (lasso, color sampler) using a series of one‐way intra‐class correlation coefficients (ICCs).</p> </sec> <sec id="srt12072-sec-0003" sec-type="section"> <title>Results</title> <p>Results of ICCs for intra‐rater agreement showed high levels of internal consistency reliability within each rater for the lasso technique (ICC ≥ 0.99) and somewhat lower, yet acceptable, level of agreement for the color sampler technique (ICC = 0.91 for expert, ICC = 0.81 for novice). Skin L*, skin b*, and labia L* values reached the highest level of agreement (ICC ≥ 0.92) and skin a*, labia b*, and vaginal wall b* were<abstract abstract-type="main" id="srt12066-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="srt12072-sec-0001" sec-type="section"> <title>Background</title> <p>We determined the intra‐ and inter‐rater reliability of data from digital image color analysis between an expert and novice analyst.</p> </sec> <sec id="srt12072-sec-0002" sec-type="section"> <title>Methods</title> <p>Following training, the expert and novice independently analyzed 210 randomly ordered images. Both analysts used Adobe<sup>®</sup> Photoshop lasso or color sampler tools based on the type of image file. After color correction with Pictocolor<sup>®</sup> in camera software, they recorded L*a*b* (L*=light/dark; a*=red/green; b*=yellow/blue) color values for all skin sites. We computed intra‐rater and inter‐rater agreement within anatomical region, color value (L*, a*, b*), and technique (lasso, color sampler) using a series of one‐way intra‐class correlation coefficients (ICCs).</p> </sec> <sec id="srt12072-sec-0003" sec-type="section"> <title>Results</title> <p>Results of ICCs for intra‐rater agreement showed high levels of internal consistency reliability within each rater for the lasso technique (ICC ≥ 0.99) and somewhat lower, yet acceptable, level of agreement for the color sampler technique (ICC = 0.91 for expert, ICC = 0.81 for novice). Skin L*, skin b*, and labia L* values reached the highest level of agreement (ICC ≥ 0.92) and skin a*, labia b*, and vaginal wall b* were the lowest (ICC ≥ 0.64).</p> </sec> <sec id="srt12072-sec-0004" sec-type="section"> <title>Conclusion</title> <p>Data from novice analysts can achieve high levels of agreement with data from expert analysts with training and the use of a detailed, standard protocol.</p> </sec> </abstract> … (more)
- Is Part Of:
- Skin research and technology. Volume 19:Issue 4(2013)
- Journal:
- Skin research and technology
- Issue:
- Volume 19:Issue 4(2013)
- Issue Display:
- Volume 19, Issue 4 (2013)
- Year:
- 2013
- Volume:
- 19
- Issue:
- 4
- Issue Sort Value:
- 2013-0019-0004-0000
- Page Start:
- 484
- Page End:
- 491
- Publication Date:
- 2013-03-28
- Subjects:
- Skin -- Research -- Periodicals
Skin -- Diseases -- Periodicals
Skin -- Physiology -- Periodicals
616.5 - Journal URLs:
- http://www.blackwellpublishing.com/journal.asp?ref=0909-752X&site=1 ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1600-0846 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/srt.12072 ↗
- Languages:
- English
- ISSNs:
- 0909-752X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8295.948000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4232.xml