Skip to main content
construction release_alert
Scholars@Duke will be undergoing maintenance April 11-15. Some features may be unavailable during this time.
cancel

Methods of Melanoma Detection.

Publication ,  Chapter
Leachman, SA; Cassidy, PB; Chen, SC; Curiel, C; Geller, A; Gareau, D; Pellacani, G; Grichnik, JM; Malvehy, J; North, J; Jacques, SL; Petrie, T ...
2016

Detection and removal of melanoma, before it has metastasized, dramatically improves prognosis and survival. The purpose of this chapter is to (1) summarize current methods of melanoma detection and (2) review state-of-the-art detection methods and technologies that have the potential to reduce melanoma mortality. Current strategies for the detection of melanoma range from population-based educational campaigns and screening to the use of algorithm-driven imaging technologies and performance of assays that identify markers of transformation. This chapter will begin by describing state-of-the-art methods for educating and increasing awareness of at-risk individuals and for performing comprehensive screening examinations. Standard and advanced photographic methods designed to improve reliability and reproducibility of the clinical examination will also be reviewed. Devices that magnify and/or enhance malignant features of individual melanocytic lesions (and algorithms that are available to interpret the results obtained from these devices) will be compared and contrasted. In vivo confocal microscopy and other cellular-level in vivo technologies will be compared to traditional tissue biopsy, and the role of a noninvasive "optical biopsy" in the clinical setting will be discussed. Finally, cellular and molecular methods that have been applied to the diagnosis of melanoma, such as comparative genomic hybridization (CGH), fluorescent in situ hybridization (FISH), and quantitative reverse transcriptase polymerase chain reaction (qRT-PCR), will be discussed.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

DOI

Publication Date

2016

Volume

167

Start / End Page

51 / 105

Related Subject Headings

  • Self-Examination
  • Patient Education as Topic
  • Microscopy, Confocal
  • Melanoma
  • In Situ Hybridization, Fluorescence
  • Humans
  • Early Detection of Cancer
  • Dermoscopy
  • Comparative Genomic Hybridization
  • 3211 Oncology and carcinogenesis
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Leachman, S. A., Cassidy, P. B., Chen, S. C., Curiel, C., Geller, A., Gareau, D., … Weinstock, M. A. (2016). Methods of Melanoma Detection. (Vol. 167, pp. 51–105). https://doi.org/10.1007/978-3-319-22539-5_3
Leachman, Sancy A., Pamela B. Cassidy, Suephy C. Chen, Clara Curiel, Alan Geller, Daniel Gareau, Giovanni Pellacani, et al. “Methods of Melanoma Detection.,” 167:51–105, 2016. https://doi.org/10.1007/978-3-319-22539-5_3.
Leachman SA, Cassidy PB, Chen SC, Curiel C, Geller A, Gareau D, et al. Methods of Melanoma Detection. In 2016. p. 51–105.
Leachman, Sancy A., et al. Methods of Melanoma Detection. Vol. 167, 2016, pp. 51–105. Pubmed, doi:10.1007/978-3-319-22539-5_3.
Leachman SA, Cassidy PB, Chen SC, Curiel C, Geller A, Gareau D, Pellacani G, Grichnik JM, Malvehy J, North J, Jacques SL, Petrie T, Puig S, Swetter SM, Tofte S, Weinstock MA. Methods of Melanoma Detection. 2016. p. 51–105.

DOI

Publication Date

2016

Volume

167

Start / End Page

51 / 105

Related Subject Headings

  • Self-Examination
  • Patient Education as Topic
  • Microscopy, Confocal
  • Melanoma
  • In Situ Hybridization, Fluorescence
  • Humans
  • Early Detection of Cancer
  • Dermoscopy
  • Comparative Genomic Hybridization
  • 3211 Oncology and carcinogenesis