Literature DB >> 27878858

Non-invasive tools for the diagnosis of cutaneous melanoma.

C Fink1, H A Haenssle1.   

Abstract

BACKGROUND: While the excisional biopsy and histological examination of suspicious lesions remains the current gold standard for diagnosing cutaneous melanoma (CM), there is a demand for more objective and non-invasive examination methods that may support clinicians in their decision when to biopsy or not.
METHODS: This review is based on publications and guidelines retrieved by a selective search in PubMed and MEDLINE and focused on non-invasive diagnostic strategies for detecting melanoma.
RESULTS: Ten different non-invasive techniques were compared with regard to applicability, status of development, and resources necessary for introduction into clinical routine (dermoscopy, sequential digital dermoscopy, total body photography, computer-aided multispectral digital analysis, electrical impedance spectroscopy, Raman spectroscopy, reflectance confocal microscopy, multiphoton tomography, stepwise two-photon-laser spectroscopy, quantitative dynamic infrared imaging). In an effort to create a classification based on our analyses, we suggest to differentiate i) tools for screening of patients in daily clinical routine, ii) tools for examination of a restricted number of preselected lesions that produce an automated diagnostic score, iii) tools for examination of a restricted number of preselected lesions at specialized centers requiring extensive training, iv) devices at an experimental stage of development.
CONCLUSION: None of the discussed examination techniques is able to provide a definite and final diagnosis or to completely replace the histopathological examination. Up to date, the need for fully automated devices offering a complete skin cancer screening has not been satisfied.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Raman spectroscopy; atypical nevus; computer-aided multispectral digital analysis; dermoscopy; diagnostic devices; dysplastic nevus; electrical impedance spectroscopy; in vivo multiphoton tomography; infrared thermal image analysis; melanoma; reflectance confocal microscopy; sequential digital dermoscopy; stepwise two-photon-laser spectroscopy; total body photography

Mesh:

Year:  2016        PMID: 27878858     DOI: 10.1111/srt.12350

Source DB:  PubMed          Journal:  Skin Res Technol        ISSN: 0909-752X            Impact factor:   2.365


  10 in total

1.  Design of an Algorithm for Automated, Computer-Guided PASI Measurements by Digital Image Analysis.

Authors:  Christine Fink; Tobias Fuchs; Alexander Enk; Holger A Haenssle
Journal:  J Med Syst       Date:  2018-11-03       Impact factor: 4.460

2.  Optical Radiomic Signatures Derived from Optical Coherence Tomography Images Improve Identification of Melanoma.

Authors:  Zahra Turani; Emad Fatemizadeh; Tatiana Blumetti; Steven Daveluy; Ana Flavia Moraes; Wei Chen; Darius Mehregan; Peter E Andersen; Mohammadreza Nasiriavanaki
Journal:  Cancer Res       Date:  2019-02-18       Impact factor: 12.701

3.  Hyperspectral and multispectral image processing for gross-level tumor detection in skin lesions: a systematic review.

Authors:  Eleni Aloupogianni; Masahiro Ishikawa; Naoki Kobayashi; Takashi Obi
Journal:  J Biomed Opt       Date:  2022-06       Impact factor: 3.758

4.  Impact of UV-irradiation on electrical impedance spectroscopy of benign nevi: study protocol for a prospective, controlled, clinical study.

Authors:  Christine Fink; Anissa Schweizer; Lorenz Uhlmann; Holger A Haenssle
Journal:  BMJ Open       Date:  2017-11-08       Impact factor: 2.692

5.  Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images.

Authors:  Kajsa Møllersen; Maciel Zortea; Thomas R Schopf; Herbert Kirchesch; Fred Godtliebsen
Journal:  PLoS One       Date:  2017-12-21       Impact factor: 3.240

6.  Acral melanoma detection using a convolutional neural network for dermoscopy images.

Authors:  Chanki Yu; Sejung Yang; Wonoh Kim; Jinwoong Jung; Kee-Yang Chung; Sang Wook Lee; Byungho Oh
Journal:  PLoS One       Date:  2018-03-07       Impact factor: 3.240

Review 7.  Ultrasound and Infrared-Based Imaging Modalities for Diagnosis and Management of Cutaneous Diseases.

Authors:  Sheliza Halani; F Stuart Foster; Maksym Breslavets; Neil H Shear
Journal:  Front Med (Lausanne)       Date:  2018-04-25

8.  Novel Non-Invasive Quantification and Imaging of Eumelanin and DHICA Subunit in Skin Lesions by Raman Spectroscopy and MCR Algorithm: Improving Dysplastic Nevi Diagnosis.

Authors:  José Javier Ruiz; Monica Marro; Ismael Galván; José Bernabeu-Wittel; Julián Conejo-Mir; Teresa Zulueta-Dorado; Ana Belén Guisado-Gil; Pablo Loza-Álvarez
Journal:  Cancers (Basel)       Date:  2022-02-18       Impact factor: 6.639

9.  Diagnostic Accuracy of Electrical Impedance Spectroscopy in Non-melanoma Skin Cancer.

Authors:  Esra Sarac; Andreas Meiwes; Thomas Eigentler; Stephan Forchhammer; Lukas Kofler; Hans-Martin Häfner; Claus Garbe
Journal:  Acta Derm Venereol       Date:  2020-11-23       Impact factor: 3.875

10.  Reverse Iontophoretic Extraction of Skin Cancer-Related Biomarkers.

Authors:  Maxim Morin; Sebastian Björklund; Skaidre Jankovskaja; Kieran Moore; Maria Begoña Delgado-Charro; Tautgirdas Ruzgas; Richard H Guy; Johan Engblom
Journal:  Pharmaceutics       Date:  2021-12-29       Impact factor: 6.321

  10 in total

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