Literature DB >> 21916885

Blue-black rule: a simple dermoscopic clue to recognize pigmented nodular melanoma.

G Argenziano1, C Longo, A Cameron, S Cavicchini, J-Y Gourhant, A Lallas, I McColl, C Rosendahl, L Thomas, D Tiodorovic-Zivkovic, P Zaballos, I Zalaudek.   

Abstract

BACKGROUND: Dermoscopy improves melanoma recognition, but most criteria were described in the context of superficial spreading melanoma.
OBJECTIVES: To test whether pigmented nodular melanoma could be recognized dermoscopically by the presence of a combination of blue and black colour within the lesion.
METHODS: Dermoscopic images of histopathologically diagnosed pigmented nodular tumours with no (or only minimal) flat component were evaluated for the presence of standard melanoma criteria and for the presence of a new feature named blue-black (BB) colour. Sensitivity, specificity, positive predictive value and negative predictive value were calculated for standard criteria and BB feature in relation to the diagnosis of melanoma and to diagnosis of malignancy.
RESULTS: Of 283 lesions, 160 were malignant, including 78 (27·6%) melanomas, and 123 were benign. The BB feature and the standard criteria had 78·2% and 43·6% sensitivity for melanoma, respectively, whereas a combined method based on the presence of either the BB feature or one (or more) of the standard criteria reached 84·6% sensitivity, with 80·5% specificity and 93·2% negative predictive value. Sensitivity values for malignant lesions were only 24·4%, 56·9% and 60% for standard criteria, BB feature and the combined method, respectively. However, the combined method gave 91·9% specificity and 90·6% positive predictive value for malignancy.
CONCLUSIONS: Using a method based on the BB feature or one of the standard melanoma criteria, only 9·4% of positive pigmented nodular lesions were found to be benign and only 6·8% of negative lesions were found to be melanoma histopathologically.
© 2011 The Authors. BJD © 2011 British Association of Dermatologists.

Entities:  

Mesh:

Year:  2011        PMID: 21916885     DOI: 10.1111/j.1365-2133.2011.10621.x

Source DB:  PubMed          Journal:  Br J Dermatol        ISSN: 0007-0963            Impact factor:   9.302


  23 in total

1.  A Clinical Aid for Detecting Skin Cancer: The Triage Amalgamated Dermoscopic Algorithm (TADA).

Authors:  T Rogers; M L Marino; S W Dusza; S Bajaj; R P Usatine; M A Marchetti; A A Marghoob
Journal:  J Am Board Fam Med       Date:  2016-11-12       Impact factor: 2.657

2.  ["Indolent" pigmented skin tumor for more than 20 years].

Authors:  C A F Diernaes; J E F Diernaes; S Haase; A Blum
Journal:  Hautarzt       Date:  2017-10       Impact factor: 0.751

Review 3.  No one should die of melanoma: a vision or impossible mission?

Authors:  Iris Zalaudek; Elvira Moscarella; Caterina Longo; Aimilios Lallas; Giuseppe Argenziano; Rainer Hofmann-Wellenhof
Journal:  Melanoma Manag       Date:  2014-09-05

4.  Fuzzy logic color detection: Blue areas in melanoma dermoscopy images.

Authors:  Mounika Lingala; R Joe Stanley; Ryan K Rader; Jason Hagerty; Harold S Rabinovitz; Margaret Oliviero; Iqra Choudhry; William V Stoecker
Journal:  Comput Med Imaging Graph       Date:  2014-04-03       Impact factor: 4.790

5.  Dermoscopic Clues for Diagnosing Melanomas That Resemble Seborrheic Keratosis.

Authors:  Cristina Carrera; Sonia Segura; Paula Aguilera; Massimiliano Scalvenzi; Caterina Longo; Alicia Barreiro; Paolo Broganelli; Stefano Cavicchini; Alex Llambrich; Pedro Zaballos; Luc Thomas; Josep Malvehy; Susana Puig; Iris Zalaudek
Journal:  JAMA Dermatol       Date:  2017-06-01       Impact factor: 10.282

6.  Peripheral stellate telangiectasias: a clinical-dermoscopic clue for diganosing cutaneous melanoma metastases.

Authors:  Yamina Julian; Giuseppe Argenziano; Elvira Moscarella; Raquel de Paula Ramos Castro; Caterina Longo; Alejandra Abeldaño; Iris Zalaudek
Journal:  J Dermatol Case Rep       Date:  2012-12-31

Review 7.  Modern non-invasive diagnostic techniques in the detection of early cutaneous melanoma.

Authors:  Agnieszka Kardynal; Malgorzata Olszewska
Journal:  J Dermatol Case Rep       Date:  2014-03-31

Review 8.  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

9.  Detection of Malignant Melanoma Using Artificial Intelligence: An Observational Study of Diagnostic Accuracy.

Authors:  Michael Phillips; Jack Greenhalgh; Helen Marsden; Ioulios Palamaras
Journal:  Dermatol Pract Concept       Date:  2019-12-31

10.  New trends in dermoscopy to minimize the risk of missing melanoma.

Authors:  Aimilios Lallas; Zoe Apalla; Georgios Chaidemenos
Journal:  J Skin Cancer       Date:  2012-10-08
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