Literature DB >> 19889023

Reflectance confocal microscopy for pigmentary disorders.

Hee Young Kang1, Philippe Bahadoran, Jean-Paul Ortonne.   

Abstract

In vivo reflectance confocal microscopy (RCM) is a non-invasive, repetitive imaging tool that provides real-time images at nearly cellular histological resolution. Application of this technology to skin imaging during the last decade has been a great advance in dermatology. As melanin is the strongest endogenous contrast in human skin, pigmentary disorders caused by abnormal amounts of melanin in the skin could be the most suitable candidates for RCM examination. This article reviewed the RCM applications in the characterization and management of pigmentary disorders. The application of RCM in pigmentary disorders has been expanded to describe hyper- and hypopigmentary disorders as well as pigmented skin tumors. The great advantages of non-invasive and repetitive examination of RCM may provide its usefulness not only in the diagnosis and management of pigmentary disorders, but also in researching pathogenesis of pigmentary disorders.

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Year:  2009        PMID: 19889023     DOI: 10.1111/j.1600-0625.2009.00983.x

Source DB:  PubMed          Journal:  Exp Dermatol        ISSN: 0906-6705            Impact factor:   3.960


  10 in total

1.  Skin healing and collagen changes of rats after fractional erbium:yttrium aluminum garnet laser: observation by reflectance confocal microscopy with confirmed histological evidence.

Authors:  Jing Yang; Sha Wang; Liyun Dong; Xiangjie An; Yan Li; Jun Li; Yating Tu; Juan Tao
Journal:  Lasers Med Sci       Date:  2016-06-08       Impact factor: 3.161

2.  Pump-probe imaging differentiates melanoma from melanocytic nevi.

Authors:  Thomas E Matthews; Ivan R Piletic; M Angelica Selim; Mary Jane Simpson; Warren S Warren
Journal:  Sci Transl Med       Date:  2011-02-23       Impact factor: 17.956

3.  Objective evaluation of the effects of intense pulsed light treatment on Asian skin by reflectance confocal microscopy analysis.

Authors:  Wenjia Sun; Jiaqiang Wu; Hui Qian; Juemin Zhao; Leihong Xiang; Chengfeng Zhang
Journal:  Lasers Med Sci       Date:  2017-12-18       Impact factor: 3.161

4.  A deep learning-based hybrid artificial intelligence model for the detection and severity assessment of vitiligo lesions.

Authors:  Lifang Guo; Yin Yang; Hui Ding; Huiying Zheng; Hedan Yang; Junxiang Xie; Yong Li; Tong Lin; Yiping Ge
Journal:  Ann Transl Med       Date:  2022-05

5.  Melanoma induction by ultraviolet A but not ultraviolet B radiation requires melanin pigment.

Authors:  Frances P Noonan; M Raza Zaidi; Agnieszka Wolnicka-Glubisz; Miriam R Anver; Jesse Bahn; Albert Wielgus; Jean Cadet; Thierry Douki; Stephane Mouret; Margaret A Tucker; Anastas Popratiloff; Glenn Merlino; Edward C De Fabo
Journal:  Nat Commun       Date:  2012-06-06       Impact factor: 14.919

6.  High-definition optical coherence tomography imaging of melanocytic lesions: a pilot study.

Authors:  Marc A L M Boone; Sarah Norrenberg; Gregor B E Jemec; V Del Marmol
Journal:  Arch Dermatol Res       Date:  2013-07-06       Impact factor: 3.017

7.  Combining in vivo reflectance with fluorescence confocal microscopy provides additive information on skin morphology.

Authors:  Hans Skvara; Ulrike Plut; Johannes A Schmid; Constanze Jonak
Journal:  Dermatol Pract Concept       Date:  2012-01-31

8.  Melanoma m (zero): diagnosis and therapy.

Authors:  Marco Rastrelli; Mauro Alaibac; Roberto Stramare; Vanna Chiarion Sileni; Maria Cristina Montesco; Antonella Vecchiato; Luca Giovanni Campana; Carlo Riccardo Rossi
Journal:  ISRN Dermatol       Date:  2013-04-11

9.  The use of reflectance confocal microscopy for monitoring response to therapy of skin malignancies.

Authors:  Martina Ulrich; Susanne Lange-Asschenfeldt; Salvador Gonzalez
Journal:  Dermatol Pract Concept       Date:  2012-04-30

10.  Introduction to reflectance confocal microscopy and its use in clinical practice.

Authors:  Amanda Levine; Orit Markowitz
Journal:  JAAD Case Rep       Date:  2018-11-10
  10 in total

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