Quantification of the thermal signature of a melanoma lesion

Çetingül, Muge Pirtini; Herman, Čila

doi:10.1016/j.ijthermalsci.2010.10.019

Cited by 113 publications

(68 citation statements)

References 34 publications

(29 reference statements)

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“…In our research, we explore the feasibility of IR imaging, combined with theoretical and experimental studies, as a cost effective, non-invasive, in vivo optical measurement technique for tumor detection, with emphasis on the screening and early detection of melanoma [10][11][12][13] . In this study, we show data obtained in a patient study in which patients that possess a pigmented lesion with a clinical indication for biopsy are selected for imaging.…”

Section: Introductionmentioning

confidence: 99%

“…This situation changed dramatically in the late 1990s-2000s. Advances in IR instrumentation, implementation of digital image processing algorithms and dynamic IR imaging, which enables scientists to analyze not only the spatial, but also the temporal thermal behavior of the skin 9 , allowed breakthroughs in the field.In our research, we explore the feasibility of IR imaging, combined with theoretical and experimental studies, as a cost effective, non-invasive, in vivo optical measurement technique for tumor detection, with emphasis on the screening and early detection of melanoma [10][11][12][13] . In this study, we show data obtained in a patient study in which patients that possess a pigmented lesion with a clinical indication for biopsy are selected for imaging.…”

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Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Herman

Çetingül

2011

JoVE

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In 2010 approximately 68,720 melanomas will be diagnosed in the US alone, with around 8,650 resulting in death 1 . To date, the only effective treatment for melanoma remains surgical excision, therefore, the key to extended survival is early detection 2,3 . Considering the large numbers of patients diagnosed every year and the limitations in accessing specialized care quickly, the development of objective in vivo diagnostic instruments to aid the diagnosis is essential. New techniques to detect skin cancer, especially non-invasive diagnostic tools, are being explored in numerous laboratories. Along with the surgical methods, techniques such as digital photography, dermoscopy, multispectral imaging systems (MelaFind), laser-based systems (confocal scanning laser microscopy, laser doppler perfusion imaging, optical coherence tomography), ultrasound, magnetic resonance imaging, are being tested. Each technique offers unique advantages and disadvantages, many of which pose a compromise between effectiveness and accuracy versus ease of use and cost considerations. Details about these techniques and comparisons are available in the literature 4 . Infrared (IR) imaging was shown to be a useful method to diagnose the signs of certain diseases by measuring the local skin temperature. There is a large body of evidence showing that disease or deviation from normal functioning are accompanied by changes of the temperature of the body, which again affect the temperature of the skin 5,6 . Accurate data about the temperature of the human body and skin can provide a wealth of information on the processes responsible for heat generation and thermoregulation, in particular the deviation from normal conditions, often caused by disease. However, IR imaging has not been widely recognized in medicine due to the premature use of the technology 7,8 several decades ago, when temperature measurement accuracy and the spatial resolution were inadequate and sophisticated image processing tools were unavailable. This situation changed dramatically in the late 1990s-2000s. Advances in IR instrumentation, implementation of digital image processing algorithms and dynamic IR imaging, which enables scientists to analyze not only the spatial, but also the temporal thermal behavior of the skin 9 , allowed breakthroughs in the field.In our research, we explore the feasibility of IR imaging, combined with theoretical and experimental studies, as a cost effective, non-invasive, in vivo optical measurement technique for tumor detection, with emphasis on the screening and early detection of melanoma [10][11][12][13] . In this study, we show data obtained in a patient study in which patients that possess a pigmented lesion with a clinical indication for biopsy are selected for imaging. We compared the difference in thermal responses between healthy and malignant tissue and compared our data with biopsy results. We concluded that the increased metabolic activity of the melanoma lesion can be detected by dynamic infrared imaging. Video LinkThe vide...

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Herman

Çetingül

2011

JoVE

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“…A temperature difference of 0.5–0.55°C is observed between the healthy tissue model and inflammation model, and a difference of 0.2–0.23°C is observed between healthy tissue and ischemia model. This difference is large enough to be measured by the infrared imaging technique described in the previous study of the group [28]. Figure 5.…”

Section: Resultsmentioning

confidence: 94%

Heat Transfer Model and Quantitative Analysis of Deep Tissue Injury

Chanmugam¹,

Bhargava

Herman

2012

Volume 2: Biomedical and Biotechnology

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Deep tissue injuries (DTI) are serious lesions which may develop in deep tissue layers as a result of sustained tissue loading or ischemic injury. These lesions may not become visible on the skin surface until the injury reaches an advanced stage making their early detection a challenging task. Early diagnosis leading to early treatment mitigates the progression of lesion and remains one of the priorities in management. The aim of this study is to examine skin surface temperature distributions of damaged tissue and develop criteria for the detection of incipient DTI. A multilayer quantitative heat transfer model of the skin tissue was developed using finite element based software COMSOL Multiphysics. Thermal response of the skin surface was computed during deep tissue inflammation and deep tissue ischemia and then compared with that of healthy tissue. In the presence of a DTI, an increase of about 0.5°C in skin surface temperatures was noticed during initial phase of deep tissue inflammation, which was followed by a surface temperature decrease of about 0.2°C corresponding to persistent deep tissue ischemia. These temperature differences are large enough to be detected by thermographic imaging. This study, therefore, also enhances the understanding of the previously detected thermographic quantitative changes associated with DTI.

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“…Infrared thermography records the radiation emitted by the human body with no need for external illumination. Attempts to localize cutaneous melanomas by infrared thermography have been made by several research groups [18,19,20]. However, infrared thermography does not permit us to distinguish between different kinds of skin cancers and requires careful calibration for the correct assignment of temperature to emitted radiation [9].…”

Section: Introductionmentioning

confidence: 99%

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

Fioravanti

Brandhoff

Driesche

et al. 2016

Sensors

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An infrared (IR) absorbance sensor has been designed, realized and tested with the aim of detecting malignant melanomas in human skin biopsies. The sensor has been designed to obtain fast measurements (80 s) of a biopsy using a small light spot (0.5 mm in diameter, typically five to 10 times smaller than the biopsy size) to investigate different biopsy areas. The sensor has been equipped with a monochromator to record the whole IR spectrum in the 3330–3570 nm wavelength range (where methylene and methyl stretching vibrations occur) for a qualitative spectral investigation. From the collected spectra, the CH2 stretch ratio values (ratio of the absorption intensities of the symmetric to asymmetric CH2 stretching peaks) are determined and studied as a cancer indicator. Melanoma areas exhibit different spectral shapes and significantly higher CH2 stretch ratios when compared to healthy skin. The results of the infrared investigation are compared with standard histology. This study shows that the IR sensor is a promising supportive tool to improve the diagnosis of melanoma during histopathological analysis, decreasing the risk of misdiagnosis.

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Quantification of the thermal signature of a melanoma lesion

Cited by 113 publications

References 34 publications

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Heat Transfer Model and Quantitative Analysis of Deep Tissue Injury

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

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