Literature DB >> 24646029

Melanoma thickness: the role of patients' characteristics, risk indicators and patterns of diagnosis.

H A Haenssle1, S Hoffmann, R Holzkamp, K Samhaber, A Lockmann, M Fliesser, S Emmert, M P Schön, A Rosenberger, T Buhl.   

Abstract

BACKGROUND: Factors associated with early vs. late diagnosis of cutaneous melanoma remain poorly understood.
OBJECTIVE: To identify factors with a significant impact on melanoma thickness.
METHODS: Patients with previous melanoma (n = 347, median age at diagnosis: 56.5 years, 44.7% female, 55.3% male) were recruited for this monocentre, non-randomized, observational study between April 2012 and March 2013. All patients were assessed by means of a structured interview and systematic clinical and dermoscopic full-body examination. Melanoma thickness in association with patients' characteristics, risk indicators and patterns of diagnosis was submitted to statistical analyses.
RESULTS: Univariate analyses revealed associations between a statistically significant lower Breslow thickness and participation in specialized dermoscopic screening programs, personal history of more than one previous melanoma, diagnostic examination with a dermatoscope, diagnostic examination by board certified dermatologist, high number of common and/or atypical nevi, younger age at time of diagnosis, higher level of education, or superficial spreading or lentigo maligna melanoma subtype (all P ≤ 0.01). In a multivariate regression analysis only three of these criteria: (i) participation in specialized screening programs (P < 0.0001); (ii) melanoma subtype (P < 0.0001); and (iii) diagnostic examination with a dermatoscope (P = 0.040) and one interaction term ('younger age' x 'female sex', P < 0.0001) showed an independent influence on a significantly lower melanoma thickness.
CONCLUSIONS: The screening of patients in specialized surveillance programs resulted in melanoma detection at significantly earlier stages. The use of dermoscopy, SSM or LMM histotype and younger age in connection with female sex were also characteristics that were independently associated with significantly thinner melanomas in multivariate analyses.
© 2014 European Academy of Dermatology and Venereology.

Entities:  

Mesh:

Year:  2014        PMID: 24646029     DOI: 10.1111/jdv.12471

Source DB:  PubMed          Journal:  J Eur Acad Dermatol Venereol        ISSN: 0926-9959            Impact factor:   6.166


  7 in total

Review 1.  Discriminating Nevi from Melanomas: Clues and Pitfalls.

Authors:  Cristina Carrera; Ashfaq A Marghoob
Journal:  Dermatol Clin       Date:  2016-10       Impact factor: 3.478

Review 2.  Enhancing Skin Cancer Diagnosis with Dermoscopy.

Authors:  Zachary J Wolner; Oriol Yélamos; Konstantinos Liopyris; Tova Rogers; Michael A Marchetti; Ashfaq A Marghoob
Journal:  Dermatol Clin       Date:  2017-08-07       Impact factor: 3.478

3.  The Impact of Longitudinal Surveillance on Tumor Thickness for Melanoma-Prone Families with and without Pathogenic Germline Variants of CDKN2A and CDK4.

Authors:  Alisa M Goldstein; Margaret A Tucker; Michael R Sargen; Ruth M Pfeiffer; David E Elder; Xiaohong R Yang
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-04       Impact factor: 4.090

4.  Differences in the diagnosis of primary cutaneous melanoma in the public and private healthcare systems in Joinville, Santa Catarina State, Brazil.

Authors:  Raquel Bissacotti Steglich; Silvana Cardoso; Maria Helena da Costa Naumann Gaertner; Karina Munhoz de Paula Alves Coelho; Tania Ferreira Cestari; Selma Cristina Franco
Journal:  An Bras Dermatol       Date:  2018 Jul-Aug       Impact factor: 1.896

5.  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

6.  Germline variants are associated with increased primary melanoma tumor thickness at diagnosis.

Authors:  Ernest Mangantig; Stuart MacGregor; Mark M Iles; Richard A Scolyer; Anne E Cust; Nicholas K Hayward; Grant W Montgomery; David L Duffy; John F Thompson; Anjali Henders; Lisa Bowdler; Casey Rowe; Gemma Cadby; Graham J Mann; David C Whiteman; Georgina V Long; Sarah V Ward; Kiarash Khosrotehrani; Jennifer H Barrett; Matthew H Law
Journal:  Hum Mol Genet       Date:  2021-01-06       Impact factor: 6.150

7.  Development and Validation of a Simple Model to Predict the Risk of Nonmelanoma Skin Cancer on Screening Total Body Skin Examination.

Authors:  Rebecca I Hartman; Yun Xue; Ryan Karmouta; Elizabeth Tkachenko; Sara J Li; David G Li; Cara Joyce; Arash Mostaghimi
Journal:  Dermatol Res Pract       Date:  2022-08-16
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.