Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
International Inter-Rater Agreement in Scoring Acne Severity Utilizing Cloud-Based Image Sharing of Mobile Phone Photographs Publisher Pubmed



Foolad N1 ; Ornelas JN2 ; Clark AK2 ; Ali I2 ; Sharon VR1, 3 ; Al Mubarak L4 ; Lopez A5 ; Alikhan A6 ; Al Dabagh B7 ; Firooz A8 ; Awasthi S1 ; Liu Y9 ; Li CS10 ; Sivamani RK1
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Dermatology, University of California – Davis, Sacramento, CA, United States
  2. 2. School of Medicine, University of California – Davis, Sacramento, CA, United States
  3. 3. Department of Dermatology, Hofstra University, Hempstead, NY, United States
  4. 4. Department of Dermatology, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
  5. 5. Instituto de Dermatologia Professor Rubem David Azulay – Rio de Janeiro, Rio de Janeiro, Brazil
  6. 6. Department of Dermatology, University of Cincinnati – Cincinnati, Cincinnati, OH, United States
  7. 7. Michigan Dermatology – Flint, MI, United States
  8. 8. Center for Research & Training in Skin Diseases & Leprosy, Tehran University of Medical Sciences – Tehran, Tehran, Iran
  9. 9. Department of Statistics, University of California – Davis, Davis, CA, United States
  10. 10. Division of Biostatistics, Department of Public Health Sciences, University of California – Davis, Davis, CA, United States

Source: International Journal of Dermatology Published:2017


Abstract

Background: Cloud-based image sharing technology allows facilitated sharing of images. Cloud-based image sharing technology has not been well-studied for acne assessments or treatment preferences, among international evaluators. We evaluated inter-rater variability of acne grading and treatment recommendations among an international group of dermatologists that assessed photographs. Methods: This is a prospective, single visit photographic study to assess inter-rater agreement of acne photographs shared through an integrated mobile device, cloud-based, and HIPAA-compliant platform. Inter-rater agreements for global acne assessment and acne lesion counts were evaluated by the Kendall's coefficient of concordance while correlations between treatment recommendations and acne severity were calculated by Spearman's rank correlation coefficient. Results: There was good agreement for the evaluation of inflammatory lesions (KCC = 0.62, P < 0.0001), noninflammatory lesions (KCC = 0.62, P < 0.0001), and the global acne grading system score (KCC = 0.69, P < 0.0001). Topical retinoid, oral antibiotic, and isotretinoin treatment preferences correlated with photographic based acne severity. Conclusions: Our study supports the use of mobile phone based photography and cloud-based image sharing for acne assessment. Cloud-based sharing may facilitate acne care and research among international collaborators. © 2017 The International Society of Dermatology
Related Docs
1. Acne in Traditional Persian Medicine, Iranian Journal of Public Health (2020)
Experts (# of related papers)
Laila Shirbeigi (1)