Detection theory for accurate and non-invasive skin cancer diagnosis using dynamic thermal imaging
Abstract
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.
- Authors:
-
- 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). Center for High Technology Materials (CHTM) and Dept. of Electrical and Computer Engineering
- Skinfrared, LLC, Albuquerque, NM (United States)
- Univ. of New Mexico, Albuquerque, NM (United States). UNM Cancer Center and Dept. of Dermatology
- 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)
- Publication Date:
- Research Org.:
- Univ. of New Mexico, Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1465131
- Grant/Contract Number:
- NA0002494
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Biomedical Optics Express
- Additional Journal Information:
- Journal Volume: 8; Journal Issue: 4; Journal ID: ISSN 2156-7085
- Publisher:
- Optical Society of America
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES
Citation Formats
Godoy, Sebastián E., Hayat, Majeed M., Ramirez, David A., Myers, Stephen A., Padilla, R. Steven, and Krishna, Sanjay. Detection theory for accurate and non-invasive skin cancer diagnosis using dynamic thermal imaging. United States: N. p., 2017.
Web. doi:10.1364/BOE.8.002301.
Godoy, Sebastián E., Hayat, Majeed M., Ramirez, David A., Myers, Stephen A., Padilla, R. Steven, & Krishna, Sanjay. Detection theory for accurate and non-invasive skin cancer diagnosis using dynamic thermal imaging. United States. https://doi.org/10.1364/BOE.8.002301
Godoy, Sebastián E., Hayat, Majeed M., Ramirez, David A., Myers, Stephen A., Padilla, R. Steven, and Krishna, Sanjay. Sun .
"Detection theory for accurate and non-invasive skin cancer diagnosis using dynamic thermal imaging". United States. https://doi.org/10.1364/BOE.8.002301. https://www.osti.gov/servlets/purl/1465131.
@article{osti_1465131,
title = {Detection theory for accurate and non-invasive skin cancer diagnosis using dynamic thermal imaging},
author = {Godoy, Sebastián E. and Hayat, Majeed M. and Ramirez, David A. and Myers, Stephen A. and Padilla, R. Steven and Krishna, Sanjay},
abstractNote = {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.},
doi = {10.1364/BOE.8.002301},
journal = {Biomedical Optics Express},
number = 4,
volume = 8,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2017},
month = {Sun Jan 01 00:00:00 EST 2017}
}
Web of Science
Works referenced in this record:
Incidence Estimate of Nonmelanoma Skin Cancer in the United States, 2006
journal, March 2010
- Rogers, Howard W.; Weinstock, Martin A.; Harris, Ashlynne R.
- Archives of Dermatology, Vol. 146, Issue 3
Early Diagnosis of Cutaneous Melanoma: Revisiting the ABCD Criteria
journal, December 2004
- Abbasi, Naheed R.; Shaw, Helen M.; Rigel, Darrell S.
- JAMA, Vol. 292, Issue 22
Semiological Value of ABCDE Criteria in the Diagnosis of Cutaneous Pigmented Tumors
journal, January 1998
- Thomas, L.; Tranchand, P.; Berard, F.
- Dermatology, Vol. 197, Issue 1
Skin biopsy rates and incidence of melanoma: population based ecological study
journal, August 2005
- Welch, H. Gilbert; Woloshin, Steven; Schwartz, Lisa M.
- BMJ, Vol. 331, Issue 7515
Multispectral imaging and artificial neural network: mimicking the management decision of the clinician facing pigmented skin lesions
journal, April 2007
- Carrara, M.; Bono, A.; Bartoli, C.
- Physics in Medicine and Biology, Vol. 52, Issue 9
Impact of Guidance From a Computer-Aided Multispectral Digital Skin Lesion Analysis Device on Decision to Biopsy Lesions Clinically Suggestive of Melanoma
journal, April 2012
- Roy, Mrinalini
- Archives of Dermatology, Vol. 148, Issue 4
Band selection in spectral imaging for non-invasive melanoma diagnosis
journal, January 2013
- Quinzán, Ianisse; Sotoca, José M.; Latorre-Carmona, Pedro
- Biomedical Optics Express, Vol. 4, Issue 4
Availability of digital dermoscopy in daily practice dramatically reduces the number of excised melanocytic lesions: results from an observational study: Digital dermoscopy in daily practice
journal, August 2012
- Tromme, I.; Sacré, L.; Hammouch, F.
- British Journal of Dermatology, Vol. 167, Issue 4
Model-Based Classification Methods of Global Patterns in Dermoscopic Images
journal, May 2014
- Saez, Aurora; Serrano, Carmen; Acha, Begona
- IEEE Transactions on Medical Imaging, Vol. 33, Issue 5
Distinct melanoma types based on reflectance confocal microscopy
journal, May 2014
- Pellacani, Giovanni; De Pace, Barbara; Reggiani, Camilla
- Experimental Dermatology, Vol. 23, Issue 6
A review of diagnostic imaging in melanoma
journal, November 2008
- Dancey, A. L.; Mahon, B. S.; Rayatt, S. S.
- Journal of Plastic, Reconstructive & Aesthetic Surgery, Vol. 61, Issue 11
Ultrasound in dermatology: Principles and applications
journal, September 2012
- Kleinerman, Rebecca; Whang, Talley B.; Bard, Robert L.
- Journal of the American Academy of Dermatology, Vol. 67, Issue 3
Assessment of melanocytic skin lesions with a high-definition laser Doppler imaging system
journal, August 2011
- Hunger, Robert E.; Torre, Rocco Della; Serov, Alexandre
- Skin Research and Technology, Vol. 18, Issue 2
Optical coherence tomography-guided photodynamic therapy for skin cancer: Case study
journal, March 2011
- Hamdoon, Zaid; Jerjes, Waseem; Upile, Tahwinder
- Photodiagnosis and Photodynamic Therapy, Vol. 8, Issue 1
Optical coherence tomography imaging of non-melanoma skin cancer undergoing photodynamic therapy reveals subclinical residual lesions
journal, March 2014
- Themstrup, L.; Banzhaf, C. A.; Mogensen, M.
- Photodiagnosis and Photodynamic Therapy, Vol. 11, Issue 1
Comparison of Diagnostic and Management Sensitivity to Melanoma Between Dermatologists and MelaFind: A Pilot Study
journal, September 2012
- Wells, Ryan; Gutkowicz-Krusin, Dina; Veledar, Emir
- Archives of Dermatology, Vol. 148, Issue 9
On the Comparison of Diagnosis and Management of Melanoma Between Dermatologists and MelaFind
journal, May 2013
- Cukras, Anthony R.
- JAMA Dermatology, Vol. 149, Issue 5
Medical applications of infrared thermography: A review
journal, July 2012
- Lahiri, B. B.; Bagavathiappan, S.; Jayakumar, T.
- Infrared Physics & Technology, Vol. 55, Issue 4
A heat transfer model of skin tissue for the detection of lesions: sensitivity analysis
journal, September 2010
- Çetingül, M. Pirtini; Herman, C.
- Physics in Medicine and Biology, Vol. 55, Issue 19
Quantification of the thermal signature of a melanoma lesion
journal, April 2011
- Pirtini Çetingül, M.; Herman, C.
- International Journal of Thermal Sciences, Vol. 50, Issue 4
The Assessment of Melanoma Risk Using the Dynamic Infrared Imaging Technique
journal, August 2011
- Pirtini Çetingül, M.; Herman, C.
- Journal of Thermal Science and Engineering Applications, Vol. 3, Issue 3
The role of dynamic infrared imaging in melanoma diagnosis
journal, April 2013
- Herman, Cila
- Expert Review of Dermatology, Vol. 8, Issue 2
Dynamic infrared imaging for skin cancer screening
journal, May 2015
- Godoy, Sebastián E.; Ramirez, David A.; Myers, Stephen A.
- Infrared Physics & Technology, Vol. 70
Angiogenesis in cancer
journal, August 2006
- Nishida, Naoyo; Yano, Hirohisa; Nishida, Takashi
- Vascular Health and Risk Management, Vol. 2, Issue 3
Q-r curve of thermal tomography and its clinical application on breast tumor diagnosis
journal, January 2015
- Shi, Guilian; Han, Fei; Wang, Lin
- Biomedical Optics Express, Vol. 6, Issue 4
A tissue heat transfer model for relating dynamic skin temperature changes to physiological parameters
journal, August 1988
- Wilson, S. B.; Spence, V. A.
- Physics in Medicine and Biology, Vol. 33, Issue 8
Stochastic processes and statistical inference
journal, October 1950
- Grenander, Ulf
- Arkiv för Matematik, Vol. 1, Issue 3
On the Exact Covariance of Products of Random Variables
journal, December 1969
- Bohrnstedt, George W.; Goldberger, Arthur S.
- Journal of the American Statistical Association, Vol. 64, Issue 328
Normal log-normal mixture, leptokurtosis and skewness
journal, July 2008
- Yang, Minxian
- Applied Economics Letters, Vol. 15, Issue 9
Correlated random sampling for multivariate normal and log-normal distributions
journal, October 2012
- Žerovnik, Gašper; Trkov, Andrej; Kodeli, Ivan A.
- Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 690
Note on the Distribution of a Definite Quadratic Form
journal, March 1955
- Pachares, James
- The Annals of Mathematical Statistics, Vol. 26, Issue 1
A Representation of Vector-Valued Random Processes
journal, April 1960
- Kelly, Edward J.; Root, William L.
- Journal of Mathematics and Physics, Vol. 39, Issue 1-4
Medical infrared imaging – differentiating facts from fiction, and the impact of high precision quantum well infrared photodetector camera systems, and other factors, in its reemergence
journal, June 2001
- Fauci, M. A.; Breiter, R.; Cabanski, W.
- Infrared Physics & Technology, Vol. 42, Issue 3-5
Noise-cancellation-based nonuniformity correction algorithm for infrared focal-plane arrays
journal, January 2008
- Godoy, Sebastián E.; Pezoa, Jorge E.; Torres, Sergio N.
- Applied Optics, Vol. 47, Issue 29
Analysis of Tissue and Arterial Blood Temperatures in the Resting Human Forearm
journal, August 1948
- Pennes, Harry H.
- Journal of Applied Physiology, Vol. 1, Issue 2
On the Exact Covariance of Products of Random Variables
journal, December 1969
- Bohrnstedt, George W.; Goldberger, Arthur S.
- Journal of the American Statistical Association, Vol. 64, Issue 328
Analysis of Tissue and Arterial Blood Temperatures in the Resting Human Forearm
journal, July 1998
- Pennes, H. H.
- Journal of Applied Physiology, Vol. 85, Issue 1
Works referencing / citing this record:
A novel technique to diagnose non‐melanoma skin cancer by thermal conductivity measurements: Correlations with cancer stromal factors
journal, August 2019
- Fujimura, Taku; Okabe, Takahiro; Tanita, Kayo
- Experimental Dermatology, Vol. 28, Issue 9