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Detection theory for accurate and non-invasive skin cancer diagnosis using dynamic thermal imaging

Journal Article · · Biomedical Optics Express
DOI:https://doi.org/10.1364/BOE.8.002301· OSTI ID:1465131
 [1];  [2];  [3];  [3];  [4];  [5]
  1. Univ. of New Mexico, Albuquerque, NM (United States). Center for High Technology Materials (CHTM) and Dept. of Electrical and Computer Engineering; Univ. of Concepcion (Chile). Dept. of Electrical Engineering; Univ. of New Mexico, Albuquerque, NM (United States)
  2. Univ. of New Mexico, Albuquerque, NM (United States). Center for High Technology Materials (CHTM) and Dept. of Electrical and Computer Engineering
  3. Skinfrared, LLC, Albuquerque, NM (United States)
  4. Univ. of New Mexico, Albuquerque, NM (United States). UNM Cancer Center and Dept. of Dermatology
  5. Univ. of New Mexico, Albuquerque, NM (United States). Center for High Technology Materials (CHTM) and Dept. of Electrical and Computer Engineering; Skinfrared, LLC, Albuquerque, NM (United States)
+ Show Author Affiliations
Skin cancer is the most common cancer in the United States with over 3.5M annual cases. Presently, visual inspection by a dermatologist has good sensitivity (> 90%) but poor specificity (< 10%), especially for melanoma, which leads to a high number of unnecessary biopsies. Here we use dynamic thermal imaging (DTI) to demonstrate a rapid, accurate and non-invasive imaging system for detection of skin cancer. In DTI, the lesion is cooled down and the thermal recovery is recorded using infrared imaging. The thermal recovery curves of the suspected lesions are then utilized in the context of continuous-time detection theory in order to define an optimal statistical decision rule such that the sensitivity of the algorithm is guaranteed to be at a maximum for every prescribed false-alarm probability. The proposed methodology was tested in a pilot study including 140 human subjects demonstrating a sensitivity in excess of 99% for a prescribed specificity in excess of 99% for detection of skin cancer. To the best of our knowledge, this is the highest reported accuracy for any non-invasive skin cancer diagnosis method.
Research Organization:
Univ. of New Mexico, Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
NA0002494
OSTI ID:
1465131
Journal Information:
Biomedical Optics Express, Journal Name: Biomedical Optics Express Journal Issue: 4 Vol. 8; ISSN 2156-7085
Publisher:
Optical Society of AmericaCopyright Statement
Country of Publication:
United States
Language:
English

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A novel technique to diagnose non‐melanoma skin cancer by thermal conductivity measurements: Correlations with cancer stromal factors journal August 2019

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