Literature DB >> 32974943

Applications and future directions for optical coherence tomography in dermatology.

B Wan1, C Ganier1, X Du-Harpur1,2, N Harun1, F M Watt1, R Patalay3, M D Lynch1,3.   

Abstract

Optical coherence tomography (OCT) is a noninvasive optical imaging method that can generate high-resolution en face and cross-sectional images of the skin in vivo to a maximum depth of 2 mm. While OCT holds considerable potential for noninvasive diagnosis and disease monitoring, it is poorly understood by many dermatologists. Here we aim to equip the practising dermatologist with an understanding of the principles of skin OCT and the potential clinical indications. We begin with an introduction to the technology and discuss the different modalities of OCT including angiographic (dynamic) OCT, which can image cutaneous blood vessels at high resolution. Next we review clinical applications. OCT has been most extensively investigated in the diagnosis of keratinocyte carcinomas, particularly basal cell carcinoma. To date, OCT has not proven sufficiently accurate for the robust diagnosis of malignant melanoma; however, the evaluation of abnormal vasculature with angiographic OCT is an area of active investigation. OCT, and in particular angiographic OCT, also shows promise in monitoring the response to therapy of inflammatory dermatoses, such as psoriasis and connective tissues disease. We additionally discuss a potential role for artificial intelligence in improving the accuracy of interpretation of OCT imaging data.
© 2020 The Authors. British Journal of Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists.

Entities:  

Mesh:

Year:  2020        PMID: 32974943     DOI: 10.1111/bjd.19553

Source DB:  PubMed          Journal:  Br J Dermatol        ISSN: 0007-0963            Impact factor:   9.302


  9 in total

Review 1.  [The world of light in diagnostic medicine : Current developments in optical imaging].

Authors:  Ingrid Hilger
Journal:  Radiologie (Heidelb)       Date:  2022-05-20

Review 2.  Emerging High-Frequency Ultrasound Imaging in Medical Cosmetology.

Authors:  YaPing Tao; Cong Wei; YiMin Su; Bing Hu; Di Sun
Journal:  Front Physiol       Date:  2022-07-04       Impact factor: 4.755

Review 3.  Oral Cancer Screening by Artificial Intelligence-Oriented Interpretation of Optical Coherence Tomography Images.

Authors:  Kousar Ramezani; Maryam Tofangchiha
Journal:  Radiol Res Pract       Date:  2022-04-23

Review 4.  Optical coherence tomography's current clinical medical and dental applications: a review.

Authors:  Saqib Ali; Saqlain Bin Syed Gilani; Juzer Shabbir; Khalid S Almulhim; Amr Bugshan; Imran Farooq
Journal:  F1000Res       Date:  2021-04-22

5.  Bismuth Selenide Nanostructured Clusters as Optical Coherence Tomography Contrast Agents: Beyond Gold-Based Particles.

Authors:  Jingke Yao; Tamara Muñoz-Ortiz; Francisco Sanz-Rodríguez; Emma Martín Rodríguez; Dirk H Ortgies; José García Solé; Daniel Jaque; Riccardo Marin
Journal:  ACS Photonics       Date:  2022-02-07       Impact factor: 7.529

6.  Hemoporfin-Mediated Photodynamic Therapy for Port-Wine Stains: Multivariate Analysis of Clinical Efficacy and Optical Coherence Tomography Appearance.

Authors:  Yanyan Lin; Wei Gong; Jie Kang; Yuhong Fang; Jingjing Liu; Lihang Lin; Xuemin Xiao
Journal:  Front Med (Lausanne)       Date:  2022-02-24

7.  Intravital 3D visualization and segmentation of murine neural networks at micron resolution.

Authors:  Ziv Lautman; Yonatan Winetraub; Eran Blacher; Caroline Yu; Itamar Terem; Adelaida Chibukhchyan; James H Marshel; Adam de la Zerda
Journal:  Sci Rep       Date:  2022-07-30       Impact factor: 4.996

8.  Case report: Optical coherence tomography for monitoring biologic therapy in psoriasis and atopic dermatitis.

Authors:  Linh Ha-Wissel; Handan Yasak; Robert Huber; Detlef Zillikens; Ralf J Ludwig; Diamant Thaçi; Jennifer E Hundt
Journal:  Front Med (Lausanne)       Date:  2022-09-27

9.  Automatic Segmentation of Laser-Induced Injury OCT Images Based on a Deep Neural Network Model.

Authors:  Tianxin Gao; Shuai Liu; Enze Gao; Ancong Wang; Xiaoying Tang; Yingwei Fan
Journal:  Int J Mol Sci       Date:  2022-09-21       Impact factor: 6.208

  9 in total

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