Literature DB >> 21982636

Accuracy in melanoma detection: a 10-year multicenter survey.

Giuseppe Argenziano1, Lorenzo Cerroni, Iris Zalaudek, Stefania Staibano, Rainer Hofmann-Wellenhof, Nicola Arpaia, Renato Marchiori Bakos, Brigitte Balme, Jadran Bandic, Roberto Bandelloni, Alexandra M G Brunasso, Horacio Cabo, David A Calcara, Blanca Carlos-Ortega, Ana Carolina Carvalho, Gabriel Casas, Huiting Dong, Gerardo Ferrara, Raffaele Filotico, Guillermo Gómez, Allan Halpern, Gennaro Ilardi, Akira Ishiko, Gulsen Kandiloglu, Hiroshi Kawasaki, Ken Kobayashi, Hiroshi Koga, Ivanka Kovalyshyn, David Langford, Xin Liu, Ashfaq A Marghoob, Massimo Mascolo, Cesare Massone, Laura Mazzoni, Scott Menzies, Akane Minagawa, Loredana Nugnes, Fezal Ozdemir, Giovanni Pellacani, Stefania Seidenari, Katherine Siamas, Ignazio Stanganelli, William V Stoecker, Masaru Tanaka, Luc Thomas, Philipp Tschandl, Harald Kittler.   

Abstract

BACKGROUND: Early excision is the only strategy to reduce melanoma mortality, but unnecessary excision of benign lesions increases morbidity and healthcare costs.
OBJECTIVE: To assess accuracy in melanoma detection based on number-needed-to-excise (NNE) values over a 10-year period.
METHODS: Information was retrieved on all histopathologically confirmed cutaneous melanomas or melanocytic nevi that were excised between 1998 and 2007 at participating clinics. NNE values were calculated by dividing the total number of excised lesions by the number of melanomas. Analyses included changes in NNE over time, differences in NNE between specialized clinical settings (SCS) versus non-specialized clinical settings (NSCS), and patient factors influencing NNE.
RESULTS: The participating clinics contributed a total of 300,215 cases, including 17,172 melanomas and 283,043 melanocytic nevi. The overall NNE values achieved in SCS and NSCS in the 10-year period were 8.7 and 29.4, respectively. The NNE improved over time in SCS (from 12.8 to 6.8), but appeared unchanged in NSCS. Most of the effect on NNE in SCS was due to a greater number of excised melanomas. Higher NNE values were observed in patients younger than 40 years and for lesions located on the trunk. LIMITATIONS: No data concerning the use of dermatoscopy and digital monitoring procedures were collected from the participating centers.
CONCLUSION: Over the 10-year study period, accuracy in melanoma detection improved only in specialized clinics maybe because of a larger use of new diagnostic techniques such as dermatoscopy.
Copyright © 2011 American Academy of Dermatology, Inc. Published by Mosby, Inc. All rights reserved.

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Year:  2011        PMID: 21982636     DOI: 10.1016/j.jaad.2011.07.019

Source DB:  PubMed          Journal:  J Am Acad Dermatol        ISSN: 0190-9622            Impact factor:   11.527


  41 in total

1.  Impact of in vivo reflectance confocal microscopy on the number needed to treat melanoma in doubtful lesions.

Authors:  I Alarcon; C Carrera; J Palou; L Alos; J Malvehy; S Puig
Journal:  Br J Dermatol       Date:  2014-04       Impact factor: 9.302

2.  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

3.  Can we improve melanoma detection methods?

Authors:  Riccardo Pampena; Caterina Longo
Journal:  Melanoma Manag       Date:  2017-07-26

4.  Number needed to biopsy ratio and diagnostic accuracy for melanoma detection.

Authors:  Michael A Marchetti; Ashley Yu; Japbani Nanda; Philipp Tschandl; Harald Kittler; Ashfaq A Marghoob; Allan C Halpern; Stephen W Dusza
Journal:  J Am Acad Dermatol       Date:  2020-04-29       Impact factor: 11.527

5.  The invisible basal cell carcinoma: how reflectance confocal microscopy improves the diagnostic accuracy of clinically unclear facial macules and papules.

Authors:  C Ruini; D Hartmann; S Saral; S Krammer; T Ruzicka; T von Braunmühl
Journal:  Lasers Med Sci       Date:  2016-08-04       Impact factor: 3.161

6.  [Dermatoscopy-30 years after the First Consensus Conference].

Authors:  Andreas Blum; Friedrich A Bahmer; Jürgen Bauer; Ralph P Braun; Brigitte Coras-Stepanek; Teresa Deinlein; Thomas Eigentler; Christine Fink; Claus Garbe; Holger A Haenssle; Rainer Hofmann-Wellenhof; Harald Kittler; Jürgen Kreusch; Hubert Pehamberger; Hans Schulz; H Peter Soyer; Wilhelm Stolz; Philipp Tschandl; Iris Zalaudek
Journal:  Hautarzt       Date:  2019-11       Impact factor: 0.751

7.  Meta-analysis of number needed to treat for diagnosis of melanoma by clinical setting.

Authors:  Amy J Petty; Bradley Ackerson; Reed Garza; Michael Peterson; Beiyu Liu; Cynthia Green; Michelle Pavlis
Journal:  J Am Acad Dermatol       Date:  2020-01-11       Impact factor: 11.527

Review 8.  Discriminating Nevi from Melanomas: Clues and Pitfalls.

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

9.  Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks.

Authors:  Philipp Tschandl; Cliff Rosendahl; Bengu Nisa Akay; Giuseppe Argenziano; Andreas Blum; Ralph P Braun; Horacio Cabo; Jean-Yves Gourhant; Jürgen Kreusch; Aimilios Lallas; Jan Lapins; Ashfaq Marghoob; Scott Menzies; Nina Maria Neuber; John Paoli; Harold S Rabinovitz; Christoph Rinner; Alon Scope; H Peter Soyer; Christoph Sinz; Luc Thomas; Iris Zalaudek; Harald Kittler
Journal:  JAMA Dermatol       Date:  2019-01-01       Impact factor: 10.282

Review 10.  Melanoma Early Detection: Big Data, Bigger Picture.

Authors:  Tracy Petrie; Ravikant Samatham; Alexander M Witkowski; Andre Esteva; Sancy A Leachman
Journal:  J Invest Dermatol       Date:  2018-10-25       Impact factor: 8.551

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