Subsurface detection of hair follicles in alopecia areata using optical coherence tomography
Alopecia areata (AA) is an autoimmune skin disorder that affects any hair-bearing areas and results in localized nonscarring hair loss. It can occur in individuals at any age regardless of ethnicity with a lifetime risk of 1–2%.1 The loss of hair is caused by perifollicular inflammation, which is as...
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Format: | Journal Article |
Language: | English |
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2022
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Online Access: | https://hdl.handle.net/10356/156187 |
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author | Yow, Ai Ping Lee, Wellington Zhengdao Wong, Damon Wing Kee Tey, Hong Liang |
author2 | School of Chemical and Biomedical Engineering |
author_facet | School of Chemical and Biomedical Engineering Yow, Ai Ping Lee, Wellington Zhengdao Wong, Damon Wing Kee Tey, Hong Liang |
author_sort | Yow, Ai Ping |
collection | NTU |
description | Alopecia areata (AA) is an autoimmune skin disorder that affects any hair-bearing areas and results in localized nonscarring hair loss. It can occur in individuals at any age regardless of ethnicity with a lifetime risk of 1–2%.1 The loss of hair is caused by perifollicular inflammation, which is associated with cytokines and chemokines released by T cells.2, 3 Although spontaneous regrowth is possible in 80% of patchy AA, full resolution is slow.4 Patients with AA can be treated with various treatment options including a topical or intralesional steroid. While intralesional steroid injection is more effective and frequently used, it requires repeated injections every 4–6 weeks. In addition, patients may experience discomfort caused by the needle pricks during injection and the presence of steroid-induced atrophy at the site of injection. |
first_indexed | 2024-10-01T05:47:25Z |
format | Journal Article |
id | ntu-10356/156187 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T05:47:25Z |
publishDate | 2022 |
record_format | dspace |
spelling | ntu-10356/1561872022-04-16T20:11:14Z Subsurface detection of hair follicles in alopecia areata using optical coherence tomography Yow, Ai Ping Lee, Wellington Zhengdao Wong, Damon Wing Kee Tey, Hong Liang School of Chemical and Biomedical Engineering Lee Kong Chian School of Medicine (LKCMedicine) National Skin Centre Institute for Digital Molecular Analytics and Science (IDMxS) Singapore Centre for Environmental Life Sciences and Engineering (SCELSE) Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics Engineering::Chemical engineering Optical Coherence Tomography Hair Follicle Alopecia areata (AA) is an autoimmune skin disorder that affects any hair-bearing areas and results in localized nonscarring hair loss. It can occur in individuals at any age regardless of ethnicity with a lifetime risk of 1–2%.1 The loss of hair is caused by perifollicular inflammation, which is associated with cytokines and chemokines released by T cells.2, 3 Although spontaneous regrowth is possible in 80% of patchy AA, full resolution is slow.4 Patients with AA can be treated with various treatment options including a topical or intralesional steroid. While intralesional steroid injection is more effective and frequently used, it requires repeated injections every 4–6 weeks. In addition, patients may experience discomfort caused by the needle pricks during injection and the presence of steroid-induced atrophy at the site of injection. Ministry of Health (MOH) National Medical Research Council (NMRC) Published version Ministry of Health’s National Medical Research Council, Singapore,Grant Number: NMRC/CSA-INV/0023/2017. 2022-04-11T02:39:58Z 2022-04-11T02:39:58Z 2022 Journal Article Yow, A. P., Lee, W. Z., Wong, D. W. K. & Tey, H. L. (2022). Subsurface detection of hair follicles in alopecia areata using optical coherence tomography. Skin Research & Technology, 28(2), 379-381. https://dx.doi.org/10.1111/srt.13138 0909-752X https://hdl.handle.net/10356/156187 10.1111/srt.13138 35020967 2-s2.0-85122675381 2 28 379 381 en NMRC/CSA-INV/0023/2017 Skin Research & Technology ©2022 The Authors. Skin Research and Technology published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. application/pdf |
spellingShingle | Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics Engineering::Chemical engineering Optical Coherence Tomography Hair Follicle Yow, Ai Ping Lee, Wellington Zhengdao Wong, Damon Wing Kee Tey, Hong Liang Subsurface detection of hair follicles in alopecia areata using optical coherence tomography |
title | Subsurface detection of hair follicles in alopecia areata using optical coherence tomography |
title_full | Subsurface detection of hair follicles in alopecia areata using optical coherence tomography |
title_fullStr | Subsurface detection of hair follicles in alopecia areata using optical coherence tomography |
title_full_unstemmed | Subsurface detection of hair follicles in alopecia areata using optical coherence tomography |
title_short | Subsurface detection of hair follicles in alopecia areata using optical coherence tomography |
title_sort | subsurface detection of hair follicles in alopecia areata using optical coherence tomography |
topic | Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics Engineering::Chemical engineering Optical Coherence Tomography Hair Follicle |
url | https://hdl.handle.net/10356/156187 |
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