Cited by 165Optical Coherence Tomography ApplicationsCutaneous Melanoma Detection and ManagementNonmelanoma Skin Cancer Studies

Advances in optical coherence tomography in dermatology—a review

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Olsen, Jonas, Holmes, Jon, Jemec, Gregor B. E.·2018·Journal of Biomedical Optics

Abstract

Optical coherence tomography (OCT) was introduced as an imaging system, but like ultrasonography, other measures, such as blood perfusion and polarization of light, have enabled the technology to approach clinical utility. This review aims at providing an overview of the advances in clinical research based on the improving technical aspects. OCT provides cross-sectional and en face images down to skin depths of 0.4 to 2.00 mm with optical resolution of 3 to 15 μm. Dynamic optical coherence tomography (D-OCT) enables the visualization of cutaneous microvasculature via detection of rapid changes in the interferometric signal of blood flow. Nonmelanoma skin cancer (NMSC) is the most comprehensively investigated topic, resulting in improved descriptions of morphological features and diagnostic criteria. A refined scoring system for diagnosing NMSC, taking findings from conventional and D-OCT into account, is warranted. OCT diagnosis of melanoma is hampered by the resolution and the optical properties of melanin. D-OCT may be of value in diseases characterized with dynamic changes in the vasculature of the skin and the addition of functional measures is strongly encouraged. In conclusion, OCT in dermatology is still an emerging technology that has great potential for improving further in the future.

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  1. X. C. Wortsman et al., "Real-time spatial compound ultrasound imag- ing of skin," Skin Res. Technol. 10(1), 23-31 (2004). · DOI
  2. Olsen, Holmes, and Jemec: Advances in optical coherence tomography. . . Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Biomedical-Optics on 14 Jun 2019 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use
  3. T. Maier et al., "Actinic keratosis in the en-face and slice imaging mode of high-definition optical coherence tomography and comparison with histology," Br. J. Dermatol. 168(1), 120-128 (2013). · DOI
  4. D. Cunha et al., "Comparison of ex vivo optical coherence tomography with conventional frozen-section histology for visualizing basal cell carcinoma during Mohs micrographic surgery," Br. J. Dermatol. 165(3), 576-580 (2011). · DOI
  5. T. Gambichler et al., "Histopathological correlates of basal cell carcinoma in the slice and en face imaging modes of high-definition optical coherence tomography," Br. J. Dermatol. 170(6), 1358-1361 (2014). · DOI
  6. T. Maier et al., "Ex vivo high-definition optical coherence tomography of basal cell carcinoma compared to frozen-section histology in micro- graphic surgery: a pilot study," J. Eur. Acad. Dermatol. Venereol. 28(1), 80-85 (2014). · DOI
  7. T. Maier et al., "Morphology of basal cell carcinoma in high definition optical coherence tomography: en-face and slice imaging mode, and comparison with histology," J. Eur. Acad. Dermatol. Venereol. 27(1), e97-e104 (2013). · DOI
  8. M. Mogensen et al., "How histological features of basal cell carcino- mas influence image quality in optical coherence tomography," J. Biophotonics 4(7-8), 544-551 (2011). · DOI
  9. M. A. Boone et al., "Imaging of basal cell carcinoma by high-defini- tion optical coherence tomography: histomorphological correlation: a pilot study," Br. J. Dermatol. 167(4), 856-864 (2012). · DOI
  10. M. Mogensen et al., "In vivo thickness measurement of basal cell carcinoma and actinic keratosis with optical coherence tomography and 20-MHz ultrasound," Br. J. Dermatol. 160(5), 1026-1033 (2009). · DOI
  11. S. A. Alawi et al., "Optical coherence tomography for presurgical mar- gin assessment of non-melanoma skin cancer-a practical approach," Exp. Dermatol. 22(8), 547-551 (2013). · DOI
  12. C. A. Banzhaf et al., "Optical coherence tomography imaging of non-melanoma skin cancer undergoing imiquimod therapy," Skin Res. Technol. 20(2), 170-176 (2014). · DOI
  13. M. A. Boone et al., "High-definition optical coherence tomography algorithm for the discrimination of actinic keratosis from normal skin and from squamous cell carcinoma," J. Eur. Acad. Dermatol. Venereol. 29(8), 1606-1615 (2015). · DOI
  14. M. A. Boone et al., "High-definition optical coherence tomography algorithm for discrimination of basal cell carcinoma from clinical BCC imitators and differentiation between common subtypes," J. Eur. Acad. Dermatol. Venereol. 29(9), 1771-1780 (2015). · DOI
  15. M. A. Boone et al., "A new algorithm for the discrimination of actinic keratosis from normal skin and squamous cell carcinoma based on in vivo analysis of optical properties by high-definition optical coherence tomography," J. Eur. Acad. Dermatol. Venereol. 30(10), 1714-1725 (2016). · DOI
  16. A. Marneffe et al., "Validation of a diagnostic algorithm for the dis- crimination of actinic keratosis from normal skin and squamous cell carcinoma by means of high-definition optical coherence tomogra- phy," Exp. Dermatol. 25(9), 684-687 (2016). · DOI
  17. C. Wahrlich et al., "Assessment of a scoring system for basal cell car- cinoma with multi-beam optical coherence tomography," J. Eur. Acad. Dermatol. Venereol. 29(8), 1562-1569 (2015). · DOI
  18. T. Maier et al., "Treatment monitoring of topical ingenol mebutate in actinic keratoses with the combination of optical coherence tomogra- phy and reflectance confocal microscopy: a case series," Br. J. Dermatol. 172(3), 816-818 (2015). · DOI
  19. J. Malvehy et al., "Treatment monitoring of 0.5% 5-fluorouracil and 10% salicylic acid in clinical and subclinical actinic keratoses with the combination of optical coherence tomography and reflectance confo- cal microscopy," J. Eur. Acad. Dermatol. Venereol. 30(2), 258-265 (2016). · DOI
  20. L. Themstrup et al., "In vivo microvascular imaging of cutaneous actinic keratosis, Bowen's disease and squamous cell carcinoma using dynamic optical coherence tomography," J. Eur. Acad. Dermatol. Venereol. 31(10), 1655-1662 (2017). · DOI
  21. V. Sigsgaard et al. "In vivo measurements of blood vessels' distribution in non-melanoma skin cancer by dynamic optical coherence tomogra- phy-a new quantitative measure?" Skin Res. Technol. 24(1), 123-128 (2018). · DOI
  22. N. De Carvalho et al., "Optical coherence tomography for margin def- inition of basal cell carcinoma before micrographic surgery-recom- mendations regarding the marking and scanning technique," Skin Res. Technol. 24(1), 145-151 (2018). · DOI
  23. D. Yucel et al., "Optical coherence tomography of basal cell carci- noma: density and signal attenuation," Skin Res. Technol. 22(4), 497-504 (2016). · DOI
  24. S. Schuh et al., "Optical coherence tomography of actinic keratoses and basal cell carcinomas -differentiation by quantification of signal intensity and layer thickness," J. Eur. Acad. Dermatol. Venereol. 30(8), 1321-1326 (2016). · DOI
  25. L. Themstrup et al., "In vivo, micro-morphological vascular changes induced by topical brimonidine studied by dynamic optical coherence tomography," J. Eur. Acad. Dermatol. Venereol. 30(6), 974-979 (2016). · DOI
  26. V. de Giorgi et al., "Possible histopathologic correlates of dermo- scopic features in pigmented melanocytic lesions identified by means of optical coherence tomography," Exp. Dermatol. 14(1), 56-59 (2005). · DOI
  27. A. Varkentin et al., "Comparative study of presurgical skin infiltration depth measurements of melanocytic lesions with OCT and high frequency ultrasound," J. Biophotonics 10(6-7), 854-861 (2017). · DOI
  28. T. Gambichler et al., "High-definition optical coherence tomography of melanocytic skin lesions," J. Biophotonics 8(8), 681-686 (2015). · DOI
  29. T. Gambichler et al., "A multicentre pilot study investigating high- definition optical coherence tomography in the differentiation of cuta- neous melanoma and melanocytic naevi," J. Eur. Acad. Dermatol. Venereol. 29(3), 537-541 (2015). · DOI
  30. M. Manfredini et al., "Acne: morphologic and vascular study of lesions and surrounding skin by means of optical coherence tomography," J. Eur. Acad. Dermatol. Venereol. 31(9), 1541-1546 (2017). · DOI
  31. R. Aschoff et al., "Evaluation of the atrophogenic potential of hydro- cortisone 1% cream and pimecrolimus 1% cream in uninvolved fore- head skin of patients with atopic dermatitis using optical coherence tomography," Exp. Dermatol. 20(10), 832-836 (2011). · DOI
  32. C. A. Banzhaf et al., "Spatiotemporal closure of fractional laser- ablated channels imaged by optical coherence tomography and reflec- tance confocal microscopy," Lasers Surg. Med. 48(2), 157-165 (2016). · DOI
  33. M. Mogensen et al., "Nail thickness measurements using optical coherence tomography and 20-MHz ultrasonography," Br. J. Dermatol. 157(5), 894-900 (2007). · DOI
  34. E. Sattler et al., "Confocal laser scanning microscopy, optical coher- ence tomography and transonychial water loss for in vivo investigation of nails," Br. J. Dermatol. 166(4), 740-746 (2012). · DOI
  35. M. Cossmann and J. Welzel, "Evaluation of the atrophogenic potential of different glucocorticoids using optical coherence tomography, 20-MHz ultrasound and profilometry; a double-blind, placebo- controlled trial," Br. J. Dermatol. 155(4), 700-706 (2006). · DOI
  36. Jonas Olsen is an MD and PhD student at the Department of Dermatology, Zealand University Hospital, Denmark. He has auth- ored several manuscripts in the clinical field of OCT in dermatology and is teaching applied medical statistics at the PhD-school at faculty of health sciences, University of Copenhagen. Currently, he is writing a PhD-thesis on the nonsurgical treatment effects on the microvascu- lature of nonmelanoma skin cancer assessed with OCT. Jon Holmes has more than 30 years' experience in optical imaging, both in industrial manufacturing and in diagnostics for medicine, and in 2006 cofounded Michelson Diagnostics Ltd. and became the com- pany's first CEO. Specializing in optical coherence tomography, he was elected a fellow of the Institute of Physics in November 2017. He is author of multiple patents and publications in peer-reviewed journals in the field of OCT.
  37. Gregor B. E. Jemec is the founding chairman at the Department of Dermatology, Zealand University Hospital, and tenured professor at the University of Copenhagen, Denmark. He has broad academic interests in many fields of dermatology and publishes broadly with 450+ scientific publications, 10 books and 130+ invited lectures at international conferences. Currently, he heads a research group dedicated the clinical use of OCT. Journal of Biomedical Optics 040901-10 April 2018 • Vol. 23
  38. Olsen, Holmes, and Jemec: Advances in optical coherence tomography. . . Downloaded From: https://www.spiedigitallibrary.org/journals/Journal-of-Biomedical-Optics on 14 Jun 2019 Terms of Use: https://www.spiedigitallibrary.org/terms-of-use

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Authors
Olsen, J., Holmes, J., & Jemec, G. B. E.
Affiliations
  • University of Copenhagen (DK)
  • VivoSight (United Kingdom) (GB)
Venue
Journal of Biomedical Optics
Published
2018-04-26
Volume
23
Issue
04
Pages
1-10
ISSN
  • 1083-3668 (ISSN-L)
  • 1560-2281
OpenAlex
W2799929571
Cited by
165
References
72
Citations by year
2026: 12 · 2025: 20 · 2024: 20 · 2023: 28 · 2022: 21 · 2021: 30 · 2020: 20 · 2019: 12 · 2018: 2
FWCI
1.30
Type
journal article
Language
en
Open access
Locations
  • Journal of Biomedical Optics (publishedVersion)
  • PubMed (publishedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Optical Coherence Tomography Applications
  • Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
  • Health Sciences › Medicine › Epidemiology › Nonmelanoma Skin Cancer Studies
Keywords
optical coherence tomography, dermatology, dynamic optical coherence tomography, skin microcirculation, blood perfusion, polarization imaging, non-melanoma skin cancer, melanoma diagnosis, skin imaging, functional imaging
MeSH terms
Aged, Female, Humans, Interferometry, Male, Middle Aged, Skin, Tomography, Optical Coherence

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