Clinical feasibility of rapid confocal melanoma feature detection

Ricky Hennessy, Steve Jacques, Giovanni Pellacani, Daniel Gareau

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In vivo reflectance confocal microscopy shows promise for the early detection of malignant melanoma. One diagnostic trait of malignancy is the presence of pagetoid melanocytes in the epidermis. For automated detection of MM, this feature must be identified quantitatively through software. Beginning with in vivo, noninvasive confocal images from 10 unequivocal MMs and benign nevi, we developed a pattern recognition algorithm that automatically identified pagetoid melanocytes in all four MMs and identified none in five benign nevi. One data set was discarded due to artifacts caused by patient movement. With future work to bring the performance of this pattern recognition technique to the level of the clinicians on difficult lesions, melanoma diagnosis could be brought to primary care facilities and save many lives by improving early diagnosis.

Original languageEnglish (US)
Title of host publicationPhotonic Therapeutics and Diagnostics VI
DOIs
StatePublished - 2010
EventPhotonic Therapeutics and Diagnostics VI - San Francisco, CA, United States
Duration: Jan 23 2010Jan 25 2010

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7548
ISSN (Print)1605-7422

Other

OtherPhotonic Therapeutics and Diagnostics VI
Country/TerritoryUnited States
CitySan Francisco, CA
Period1/23/101/25/10

Keywords

  • automated detection
  • confocal microscopy
  • dermal-epidermal junction
  • melanoma
  • pagetoid melanocytes

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging
  • Biomaterials

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