Literature DB >> 23043862

Infrared thermography of cutaneous melanoma metastases.

Amber L Shada1, Lynn T Dengel, Gina R Petroni, Mark E Smolkin, Scott Acton, Craig L Slingluff.   

Abstract

BACKGROUND: Differentiating melanoma metastasis from benign cutaneous lesions currently requires biopsy or costly imaging, such as positron emission tomography scans. Melanoma metastases have been observed to be subjectively warmer than similarly appearing benign lesions. We hypothesized that infrared (IR) thermography would be sensitive and specific in differentiating palpable melanoma metastases from benign lesions.
MATERIALS AND METHODS: Seventy-four patients (36 females and 38 males) had 251 palpable lesions imaged for this pilot study. Diagnosis was determined using pathologic confirmation or clinical diagnosis. Lesions were divided into size strata for analysis: 0-5, >5-15, >15-30, and >30 mm. Images were scored on a scale from -1 (colder than the surrounding tissue) to +3 (significantly hotter than the surrounding tissue). Sensitivity and specificity were calculated for each stratum. Logistical challenges were scored.
RESULTS: IR imaging was able to determine the malignancy of small (0-5 mm) lesions with a sensitivity of 39% and specificity of 100%. For lesions >5-15 mm, sensitivity was 58% and specificity 98%. For lesions >15-30 mm, sensitivity was 95% and specificity 100%, and for lesions >30 mm, sensitivity was 78% and specificity 89%. The positive predictive value was 88%-100% across all strata, and the negative predictive value was 95% for >15-30 mm lesions and 80% for >30 mm lesions.
CONCLUSIONS: Malignant lesions >15 mm were differentiated from benign lesions with excellent sensitivity and specificity. IR imaging was well tolerated and feasible in a clinic setting. This pilot study shows promise in the use of thermography for the diagnosis of malignant melanoma with further potential as a noninvasive tool to follow tumor responses to systemic therapies.
Copyright © 2013. Published by Elsevier Inc.

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Mesh:

Year:  2012        PMID: 23043862      PMCID: PMC4426199          DOI: 10.1016/j.jss.2012.09.022

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  14 in total

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  9 in total

Review 1.  Skin Cancer Detection Using Infrared Thermography: Measurement Setup, Procedure and Equipment.

Authors:  Jan Verstockt; Simon Verspeek; Filip Thiessen; Wiebren A Tjalma; Lieve Brochez; Gunther Steenackers
Journal:  Sensors (Basel)       Date:  2022-04-26       Impact factor: 3.847

Review 2.  HF ultrasound vs PET-CT and telethermography in the diagnosis of In-transit metastases from melanoma: a prospective study and review of the literature.

Authors:  Francesco Maria Solivetti; Flora Desiderio; Antonino Guerrisi; Antonio Bonadies; Carlo Ludovico Maini; Simona Di Filippo; Valerio D'Orazi; Isabella Sperduti; Aldo Di Carlo
Journal:  J Exp Clin Cancer Res       Date:  2014-11-25

3.  An Infrared Absorbance Sensor for the Detection of Melanoma in Skin Biopsies.

Authors:  Valeria Fioravanti; Lukas Brandhoff; Sander van den Driesche; Heimo Breiteneder; Melitta Kitzwögerer; Christine Hafner; Michael J Vellekoop
Journal:  Sensors (Basel)       Date:  2016-10-10       Impact factor: 3.576

4.  Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor.

Authors:  Marco Antonio Garduño-Ramón; Sofia Giovanna Vega-Mancilla; Luis Alberto Morales-Henández; Roque Alfredo Osornio-Rios
Journal:  Sensors (Basel)       Date:  2017-03-03       Impact factor: 3.576

5.  Focal dynamic thermal imaging for label-free high-resolution characterization of materials and tissue heterogeneity.

Authors:  Christine M O'Brien; Hongyu Meng; Leonid Shmuylovich; Julia Carpenter; Praneeth Gogineni; Haini Zhang; Kevin Bishop; Suman B Mondal; Gail P Sudlow; Cheryl Bethea; Clyde Bethea; Samuel Achilefu
Journal:  Sci Rep       Date:  2020-07-28       Impact factor: 4.379

Review 6.  Application of infrared thermography in computer aided diagnosis.

Authors:  Oliver Faust; U Rajendra Acharya; E Y K Ng; Tan Jen Hong; Wenwei Yu
Journal:  Infrared Phys Technol       Date:  2014-06-20       Impact factor: 2.638

7.  Portable, handheld, and affordable blood perfusion imager for screening of subsurface cancer in resource-limited settings.

Authors:  Arka Bhowmik; Biswajoy Ghosh; Mousumi Pal; Ranjan Rashmi Paul; Jyotirmoy Chatterjee; Suman Chakraborty
Journal:  Proc Natl Acad Sci U S A       Date:  2022-01-11       Impact factor: 12.779

Review 8.  Skin cancer detection using non-invasive techniques.

Authors:  Vigneswaran Narayanamurthy; P Padmapriya; A Noorasafrin; B Pooja; K Hema; Al'aina Yuhainis Firus Khan; K Nithyakalyani; Fahmi Samsuri
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9.  Automatic Detection of Human Maxillofacial Tumors by Using Thermal Imaging: A Preliminary Study.

Authors:  Diana Mačianskytė; Rimas Adaškevičius
Journal:  Sensors (Basel)       Date:  2022-03-03       Impact factor: 3.576

  9 in total

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