Ramli, R. and Malik, A.S. and Hani, A.F.M. and Jamil, A. (2012) Acne analysis, grading and computational assessment methods: An overview. Skin Research and Technology, 18 (1). pp. 1-14. ISSN 0909752X
Full text not available from this repository.Abstract
Introduction: This paper presents a comprehensive review of acne grading and measurement. Acne is a chronic disorder of the pilosebaceous units, with excess sebum production, follicular epidermal hyperproliferation, inflammation and Propionibacterium acnes activity. Most patients are affected with acne vulgaris, which is the prevalent type of acne. Acne vulgaris consists of comedones (whitehead and blackhead), papules, pustules, nodules and cysts. Objectives: To review and identify the issues for acne vulgaris grading and computational assessment methods. To determine the future direction for addressing the identified issues. Methods: There are two main methods of assessment for acne severity grading, namely, lesion counting and comparison of patient with a photographic standard. For the computational assessment method, the emphasis is on computational imaging techniques. Results: Current acne grading methods are very time consuming and tedious. Generally, they rely on approximation for counting lesions and hence the assessment is quite subjective, with both inter and intra-observer variability. It is important to accurately assess acne grade to evaluate its severity as this influences treatment selection and assessment of response to therapy. This will further help in better disease management and more efficacious treatment. Conclusion: Semi-automated or automated methods based on computational imaging techniques should be devised for acne grade assessment. © 2011 John Wiley & Sons A/S.
Item Type: | Article |
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Additional Information: | cited By 103 |
Uncontrolled Keywords: | Acne imaging methods; Acne lesions; Acne therapy; Acne treatment; Acne types; Acne vulgaris, Automation; Diseases; Grading; Imaging techniques, Rating, acne; acne conglobata; acne fulminans; acne vulgaris; clinical assessment tool; comedo; discriminant analysis; disease classification; disease course; disease severity; gold standard; heat; hormone action; human; infrared photography; papule; Propionibacterium acnes; pustule; review; rosacea; scar; sebaceous gland; sebum; skin cell; skin color; skin examination; skin nodule; skin redness; skin structure; skin swelling, Acne Vulgaris; Dermoscopy; Humans; Image Interpretation, Computer-Assisted; Photography; Severity of Illness Index |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:51 |
Last Modified: | 09 Nov 2023 15:51 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/3088 |