Literature DB >> 11333124

Non-invasive analysis of melanoma thickness by means of dermoscopy: a retrospective study.

M Stante1, V De Giorgi, P Cappugi, B Giannotti, P Carli.   

Abstract

Epiluminescence microscopy (ELM), or dermatoscopy, is a non-invasive technique for the diagnosis of cutaneous melanoma that may play a role in the non-invasive, preoperative assessment of melanoma thickness. This study investigated the correlation between the frequency of appearance of some standard ELM criteria and the histological thickness of melanomas. In addition, the possible role of the total dermoscopic score (TDS) according to ABCD rule of dermoscopy as a predictor of melanoma thickness was analysed. The dermoscopic images of 84 cutaneous melanomas were retrospectively investigated to evaluate the presence of 10 standard ELM criteria, and for each lesion the TDS was established (with observers blinded as to the tumour thickness). A statistically significant association was found between the presence of an irregular pigment network and melanomas with a Breslow index equal to or lower than 0.75 mm (positive predictive value of 68%); in contrast, radial streaming, atypical vascular pattern and grey-blue areas were associated with melanomas > 0.75 mm (positive predictive values of 77%, 65% and 70%, respectively). Of the melanomas thinner than 0.76 mm, 82% showed a TDS lower than 6.80 (optimized cut-off point), while 79% of melanomas thicker than 0.75 mm had a TDS higher than 6.80 (chi2 = 30.815, P < 0.001); the positive predictive value of a TDS > 6.80 in the detection of lesions thicker than 0.75 mm was 79%. In conclusion, a statistically significant correlation does exist between some dermoscopic features and melanoma thickness. Both the mostly used dermoscopic methods (standard ELM pattern analysis and the ABCD rule of dermatoscopy) may provide useful information in the non-invasive assessment of melanoma thickness. However, their diagnostic performance is far from 100%; further studies are needed to investigate whether the combination of dermoscopy with other non-invasive approaches (e.g. sonometry) may result in an overall improvement in the diagnostic performance.

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Year:  2001        PMID: 11333124     DOI: 10.1097/00008390-200104000-00009

Source DB:  PubMed          Journal:  Melanoma Res        ISSN: 0960-8931            Impact factor:   3.599


  10 in total

1.  Dermoscopic features of thin melanomas: a comparative study of melanoma in situ and invasive melanomas smaller than or equal to 1mm.

Authors:  Vanessa Priscilla Martins da Silva; Juliana Kida Ikino; Mariana Mazzochi Sens; Daniel Holthausen Nunes; Gabriella Di Giunta
Journal:  An Bras Dermatol       Date:  2013 Sep-Oct       Impact factor: 1.896

2.  Dermoscopic and clinical features of head and neck melanoma.

Authors:  Fatma Pelin Cengiz; Abdurrahman Bugra Cengiz; Nazan Emiroglu; Ela Comert; Rainer Hofmann Wellenhof
Journal:  An Bras Dermatol       Date:  2015 Jul-Aug       Impact factor: 1.896

3.  Dermoscopic and clinical features of trunk melanomas.

Authors:  Nazan Emiroglu; Fatma Pelin Cengiz; Rainer Hofmann-Wellenhof
Journal:  Postepy Dermatol Alergol       Date:  2014-12-03       Impact factor: 1.837

4.  Dermoscopic characteristics of melanoma according to the criteria "ulceration" and "mitotic rate" of the AJCC 2009 staging system for melanoma.

Authors:  Teresa Deinlein; Edith Arzberger; Iris Zalaudek; Cesare Massone; Juan Garcias-Ladaria; André Oliveira; Günter Schulter; Rainer Hofmann-Wellenhof
Journal:  PLoS One       Date:  2017-04-11       Impact factor: 3.240

5.  Tumor genetic heterogeneity analysis of chronic sun-damaged melanoma.

Authors:  Adriana Sanna; Katja Harbst; Iva Johansson; Gustav Christensen; Martin Lauss; Shamik Mitra; Frida Rosengren; Jari Häkkinen; Johan Vallon-Christersson; Håkan Olsson; Åsa Ingvar; Karolin Isaksson; Christian Ingvar; Kari Nielsen; Göran Jönsson
Journal:  Pigment Cell Melanoma Res       Date:  2019-12-23       Impact factor: 4.693

6.  Dermoscopic evaluation of superficial spreading melanoma.

Authors:  Fernanda Marques Trindade; Maria Luiza Pires de Freitas; Flávia Vasques Bittencourt
Journal:  An Bras Dermatol       Date:  2021-02-01       Impact factor: 1.896

7.  Predictive factors of melanoma thickness.

Authors:  Ana Rita Carreiro Silva; Ricardo José David Costa Vieira
Journal:  An Bras Dermatol       Date:  2022-06-25       Impact factor: 2.113

8.  Dermoscopic Predictors of Tumor Thickness in Cutaneous Melanoma: A Retrospective Analysis of 245 Melanomas.

Authors:  Enrique Rodríguez-Lomba; Belén Lozano-Masdemont; Lula María Nieto-Benito; Elisa Hernández de la Torre; Ricardo Suárez-Fernández; José Antonio Avilés-Izquierdo
Journal:  Dermatol Pract Concept       Date:  2021-05-20

9.  Patterns of Change During the Dermoscopic Follow-Up of Melanocytic Lesions in High Risk Patients.

Authors:  Loredana Ungureanu; Alina Letcă; Simona Corina Șenilă; Ana Sorina Dănescu; Rodica Cosgarea
Journal:  Clujul Med       Date:  2015-01-28

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

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