Literature DB >> 22830402

New diagnostics for melanoma detection: from artificial intelligence to RNA microarrays.

Verena Ahlgrimm-Siess1, Martin Laimer, Edith Arzberger, Rainer Hofmann-Wellenhof.   

Abstract

Early detection of melanoma remains crucial to ensuring a favorable prognosis. Dermoscopy and total body photography are well-established noninvasive aids that increase the diagnostic accuracy of dermatologists in their daily routine, beyond that of a naked-eye examination. New noninvasive diagnostic techniques, such as reflectance confocal microscopy, multispectral digital imaging and RNA microarrays, are currently being investigated to determine their utility for melanoma detection. This review presents emerging technologies for noninvasive melanoma diagnosis, and discusses their advantages and limitations.

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Year:  2012        PMID: 22830402     DOI: 10.2217/fon.12.84

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  2 in total

Review 1.  Applications of nanotechnology for melanoma treatment, diagnosis, and theranostics.

Authors:  Jiezhong Chen; Renfu Shao; Xu Dong Zhang; Chen Chen
Journal:  Int J Nanomedicine       Date:  2013-07-24

2.  DERMA: a melanoma diagnosis platform based on collaborative multilabel analog reasoning.

Authors:  Ruben Nicolas; Albert Fornells; Elisabet Golobardes; Guiomar Corral; Susana Puig; Josep Malvehy
Journal:  ScientificWorldJournal       Date:  2014-01-21
  2 in total

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