Literature DB >> 19095152

Current and emerging technologies in melanoma diagnosis: the state of the art.

Estee L Psaty1, Allan C Halpern.   

Abstract

Relative to other specialties, dermatologists have been slow to adopt advanced technologic diagnostic aids. Most skin disease can be diagnosed by simple visual inspection, and the skin is readily accessible for a diagnostic biopsy. Diagnostic aids, such as total body photography and dermoscopy, improve the clinician's ability to diagnose melanoma beyond unaided visual inspection, however, and are now considered mainstream methods for early detection. Emerging technologies such as in vivo reflectance confocal microscopy are currently being investigated to determine their utility for noninvasive diagnosis of melanoma. This review summarizes the currently available cutaneous imaging devices and new frontiers in noninvasive diagnosis of skin disease. We anticipate that multimodal systems that combine different imaging technologies will further improve our ability to detect, at the bedside, melanoma at an earlier stage.

Entities:  

Mesh:

Year:  2009        PMID: 19095152      PMCID: PMC5624041          DOI: 10.1016/j.clindermatol.2008.09.004

Source DB:  PubMed          Journal:  Clin Dermatol        ISSN: 0738-081X            Impact factor:   3.541


  105 in total

1.  Morphologic features of melanocytes, pigmented keratinocytes, and melanophages by in vivo confocal scanning laser microscopy.

Authors:  K J Busam; C Charles; G Lee; A C Halpern
Journal:  Mod Pathol       Date:  2001-09       Impact factor: 7.842

2.  Multifunctional imaging of endogenous contrast by simultaneous nonlinear and optical coherence microscopy of thick tissues.

Authors:  Siavash Yazdanfar; Yen Yu Chen; Peter T C So; Lily H Laiho
Journal:  Microsc Res Tech       Date:  2007-07       Impact factor: 2.769

3.  Spectrally encoded confocal microscopy.

Authors:  G J Tearney; R H Webb; B E Bouma
Journal:  Opt Lett       Date:  1998-08-01       Impact factor: 3.776

4.  Limitations of dermoscopy in the recognition of melanoma.

Authors:  Hans Skvara; Ligia Teban; Manfred Fiebiger; Michael Binder; Harald Kittler
Journal:  Arch Dermatol       Date:  2005-02

5.  Nevus type in dermoscopy is related to skin type in white persons.

Authors:  Iris Zalaudek; Giuseppe Argenziano; Ines Mordente; Elvira Moscarella; Rosamaria Corona; Francesco Sera; Andreas Blum; Horacio Cabo; Alessandro Di Stefani; Rainer Hofmann-Wellenhof; Robert Johr; David Langford; Josep Malvehy; Isabel Kolm; Anna Sgambato; Susana Puig; H Peter Soyer; Helmut Kerl
Journal:  Arch Dermatol       Date:  2007-03

6.  Short-term digital surface microscopic monitoring of atypical or changing melanocytic lesions.

Authors:  S W Menzies; A Gutenev; M Avramidis; A Batrac; W H McCarthy
Journal:  Arch Dermatol       Date:  2001-12

7.  Sensitivity and specificity of confocal laser-scanning microscopy for in vivo diagnosis of malignant skin tumors.

Authors:  Armin Gerger; Silvia Koller; Wolfgang Weger; Erika Richtig; Helmut Kerl; Hellmut Samonigg; Peter Krippl; Josef Smolle
Journal:  Cancer       Date:  2006-07-01       Impact factor: 6.860

8.  Ultraviolet irradiation induces acute changes in melanocytic nevi.

Authors:  M Tronnier; J Smolle; H H Wolff
Journal:  J Invest Dermatol       Date:  1995-04       Impact factor: 8.551

9.  Can automated dermoscopy image analysis instruments provide added benefit for the dermatologist? A study comparing the results of three systems.

Authors:  A Perrinaud; O Gaide; L E French; J-H Saurat; A A Marghoob; R P Braun
Journal:  Br J Dermatol       Date:  2007-09-13       Impact factor: 9.302

10.  Role of high-resolution magnetic resonance imaging for differentiating melanin-containing skin tumors.

Authors:  J Mäurer; F D Knollmann; D Schlums; C Garbe; T J Vogl; J Bier; R Felix
Journal:  Invest Radiol       Date:  1995-11       Impact factor: 6.016

View more
  10 in total

Review 1.  Revisiting the melanomagenic pathways and current therapeutic approaches.

Authors:  Pavan Kumar Dhanyamraju; Solomon Rotimi; Priyanjali Bhattacharya; Trupti N Patel
Journal:  Mol Biol Rep       Date:  2022-04-10       Impact factor: 2.742

2.  Comedo-like openings in melanoma.

Authors:  Bruno Simão dos Santos; Lucia Helena Soares Ribeiro; Eloisa Leis Ayres; Enoi Aparecida Guedes Vilar
Journal:  An Bras Dermatol       Date:  2014 Mar-Apr       Impact factor: 1.896

3.  Skin cancer recognition by using a neuro-fuzzy system.

Authors:  Bareqa Salah; Mohammad Alshraideh; Rasha Beidas; Ferial Hayajneh
Journal:  Cancer Inform       Date:  2011-02-02

Review 4.  High frequency ultrasound with color Doppler in dermatology.

Authors:  Elisa de Oliveira Barcaui; Antonio Carlos Pires Carvalho; Flavia Paiva Proença Lobo Lopes; Juan Piñeiro-Maceira; Carlos Baptista Barcaui
Journal:  An Bras Dermatol       Date:  2016 May-Jun       Impact factor: 1.896

5.  Label-free classification of neurons and glia in neural stem cell cultures using a hyperspectral imaging microscopy combined with machine learning.

Authors:  Hiroshi Ogi; Sanzo Moriwaki; Masahiko Kokubo; Yuichiro Hikida; Kyoko Itoh
Journal:  Sci Rep       Date:  2019-01-24       Impact factor: 4.379

6.  Untangling Classification Methods for Melanoma Skin Cancer.

Authors:  Ayushi Kumar; Avimanyou Vatsa
Journal:  Front Big Data       Date:  2022-03-29

7.  Emerging technologies for the detection of melanoma: achieving better outcomes.

Authors:  Cila Herman
Journal:  Clin Cosmet Investig Dermatol       Date:  2012-11-12

8.  A coherent model for turbid imaging with confocal microscopy.

Authors:  Christopher E Glazowski; James Zavislan
Journal:  Biomed Opt Express       Date:  2013-03-04       Impact factor: 3.732

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

Review 10.  Computer aided diagnostic support system for skin cancer: a review of techniques and algorithms.

Authors:  Ammara Masood; Adel Ali Al-Jumaily
Journal:  Int J Biomed Imaging       Date:  2013-12-23
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.