Non-invasive tools for the diagnosis of cutaneous melanoma

被引:63
作者
Fink, C. [1 ]
Haenssle, H. A. [1 ]
机构
[1] Heidelberg Univ, Dept Dermatol, Neuenheimer Feld 440, D-69120 Heidelberg, Germany
关键词
melanoma; atypical nevus; dysplastic nevus; diagnostic devices; dermoscopy; sequential digital dermoscopy; total body photography; reflectance confocal microscopy; computer-aided multispectral digital analysis; electrical impedance spectroscopy; Raman spectroscopy; in vivo multiphoton tomography; stepwise two-photon-laser spectroscopy; infrared thermal image analysis; MELANOCYTIC SKIN-LESIONS; ELECTRICAL-IMPEDANCE SPECTROSCOPY; LASER-SCANNING MICROSCOPY; TOTAL-BODY PHOTOGRAPHY; NAKED-EYE EXAMINATION; IN-VIVO; EPILUMINESCENCE MICROSCOPY; MALIGNANT-MELANOMA; FOLLOW-UP; HIGH-RISK;
D O I
10.1111/srt.12350
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
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.
引用
收藏
页码:261 / 271
页数:11
相关论文
共 58 条
[1]   Electrical impedance spectroscopy and the diagnostic accuracy for malignant melanoma [J].
Aberg, Peter ;
Birgersson, Ulrik ;
Elsner, Peter ;
Mohr, Peter ;
Ollmar, Stig .
EXPERIMENTAL DERMATOLOGY, 2011, 20 (08) :648-652
[2]   Clinical thermal imaging today [J].
Anbar, M .
IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 1998, 17 (04) :25-33
[3]   Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions - Comparison of the ABCD rule of dermatoscopy and a new 7-Point checklist based on pattern analysis [J].
Argenziano, G ;
Fabbrocini, G ;
Carli, P ;
De Giorgi, V ;
Sammarco, E ;
Delfino, M .
ARCHIVES OF DERMATOLOGY, 1998, 134 (12) :1563-1570
[4]  
Bafounta ML, 2001, ARCH DERMATOL, V137, P1343
[5]   Incidence of new and changed Nevi and melanomas detected using baseline images and dermoscopy in patients at high risk for melanoma [J].
Banky, JP ;
Kelly, JW ;
English, DR ;
Yeatman, JM ;
Dowling, JP .
ARCHIVES OF DERMATOLOGY, 2005, 141 (08) :998-1006
[6]   Acquired melanocytic nevi as risk factor for melanoma development. A comprehensive review of epidemiological data [J].
Bauer, J ;
Garbe, C .
PIGMENT CELL RESEARCH, 2003, 16 (03) :297-306
[7]   Lock-in thermal imaging for the early-stage detection of cutaneous melanoma: A feasibility study [J].
Bonmarin, Mathias ;
Le Gal, Frederique-Anne .
COMPUTERS IN BIOLOGY AND MEDICINE, 2014, 47 :36-43
[8]   Dermoscopy of pigmented skin lesions [J].
Braun, RP ;
Rabinovitz, HS ;
Oliviero, M ;
Kopf, AW ;
Saurat, JH .
JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY, 2005, 52 (01) :109-121
[9]  
Breslow A, 1980, Pathol Annu, V15, P1
[10]   Integrating static and dynamic features of melanoma: The DynaMel algorithm [J].
Buhl, Timo ;
Hansen-Hagge, Christian ;
Korpas, Bianca ;
Kaune, Kjell M. ;
Haas, Ellen ;
Rosenberger, Albert ;
Schoen, Michael P. ;
Emmert, Steffen ;
Haenssle, Holger A. .
JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY, 2012, 66 (01) :27-36