Skin cancer margin analysis within minutes with full-field OCT (Conference Presentation)

2017 ◽  
Author(s):  
Eugénie Dalimier ◽  
Lauren Ogrich ◽  
Diego Morales ◽  
Carrie Ann Cusack ◽  
Mark Abdelmalek ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Full Field ◽  
Margin Analysis

Skin cancer margin analysis with morphologic and metabolic micro-tomography (Conference Presentation)

2018 ◽  
Author(s):  
Eugénie Dalimier ◽  
Emilie Benoit a la Guillaume ◽  
John Durkin ◽  
Sarah Hendriks ◽  
Thérèse Awada ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Micro Tomography ◽  
Margin Analysis

scholarly journals LesionAir: An Automated, Low-Cost Vision-Based Skin Cancer Diagnostic Tool

2018 ◽  
Vol 12 (2) ◽  
Author(s):  
Tyler D. Wortman ◽  
Jay D. Carlson ◽  
Edward Perez ◽  
Alexander H. Slocum
Keyword(s):  
Skin Cancer ◽  
Diagnostic Tool ◽  
Low Cost ◽  
Three Dimensional ◽  
Element Analysis ◽  
Full Field ◽  
Cancer Diagnostic ◽  
Specificity And Sensitivity ◽  
Phantom Tissue ◽  
Missed Diagnoses

Current techniques for diagnosing skin cancer lack specificity and sensitivity, resulting in unnecessary biopsies and missed diagnoses. Automating tissue palpation and morphology quantification will result in a repeatable, objective process. LesionAir is a low-cost skin cancer diagnostic tool that measures the full-field compliance of tissue by applying a vacuum force and measuring the precise deflection using structured light three-dimensional (3D) reconstruction. The technology was tested in a benchtop setting on phantom skin and in a small clinical study. LesionAir has been shown to measure deflection with a 0.085 mm root-mean-square (RMS) error and measured the stiffness of phantom tissue to within 20% of finite element analysis (FEA) predictions. After biopsy and analysis, a dermatopathologist confirmed the diagnosis of skin cancer in tissue that LesionAir identified as noticeably stiffer and the regions of this stiffer tissue aligned with the bounds of the lesion. A longitudinal, full-scale study is required to determine the clinical efficacy of the device. This technology shows initial promise as a low-cost tool that could rapidly identify and diagnose skin cancer.

The incidence of skin cancer in southern Arizona (Tucson)

1971 ◽  
Vol 104 (2) ◽  
pp. 124-127 ◽  
Author(s):  
M. M. Schreiber
Keyword(s):  
Skin Cancer

Skin Cancer Dx: Partner With Your Patients

2005 ◽  
Vol 36 (3) ◽  
pp. 29
Author(s):  
Nancy A. Melville
Keyword(s):  
Skin Cancer
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