Quantification of the thermal signature of a melanoma lesion

Quantification of the thermal signature of a melanoma lesion
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DOI:
10.1016/j.ijthermalsci.2010.10.019
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发表时间:
2011-04-01
影响因子:
4.5
通讯作者:
Herman, C.
Herman, C.
中科院分区:
工程技术2区
文献类型:
--
作者:
Cetinguel, M. Pirtini;Herman, C.

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黑色素瘤是癌性皮肤病变,其在相对早期的发展阶段转移的能力是臭名昭著的。提高所有受影响个体生存率的关键仍然是早期诊断和治疗。我们最近开发了一种瞬态热(红外- IR)成像系统,其允许精确测量皮肤表面上的温差,以帮助检测和诊断代谢活性或恶性皮肤病变。存在一个简单的,定量的,客观的,和非侵入性的在体内筛选和诊断工具的色素性病变的评价将是非常宝贵的早期检测黑色素瘤在各种临床设置。因此,我们目前正在进行一项患者研究,以验证所描述的红外成像工具在区分良性色素性病变与恶性病变以及量化病变恶性潜力方面的可行性。在本文中,我们比较了成像良性和恶性色素性病变所获得的数据。测量的表面温度分布的特征时刻以及健康皮肤的表面上的选定点的温度作为时间的函数进行比较。结果表明,在健康组织和恶性病变的情况下,在本文中考虑的热响应的显着差异。良性病变的热反应被发现是类似的健康皮肤组织。这种差异可用于识别恶性病变并量化其恶性潜力。从临床研究的实验数据进行了比较,通过模拟的皮肤病变的热行为数值计算模型,为此目的而开发的结果。计算结果表明,该计算模型可以估计病变参数和性质,并可以量化恶性病变对瞬态热响应的影响。(C)2010年Elsevier Masson SAS。All rights reserved.
Melanomas are cancerous skin lesions that are notorious for their ability to metastasize at a relatively early stage of development. The key to improved survival in all affected individuals remains early diagnosis and treatment. We have recently developed a transient thermal (infrared - IR) imaging system that allows for accurate measurement of temperature differences on the skin surface to aid the detection and diagnosis of metabolically active or malignant skin lesions. The existence of a simple, quantitative, objective, and noninvasive in vivo screening and diagnostic tool for the evaluation of pigmented lesions would be invaluable for the early detection of melanoma in a variety of clinical settings. Therefore, we are currently conducting a patient study to verify the feasibility of the described IR imaging tool in distinguishing benign pigmented lesions from malignant ones and quantifying the malignant potential of lesions. In this paper, we compare data obtained by imaging benign and malignant pigmented lesions. Measured surface temperature distributions for characteristic time instants as well as temperatures of selected points on the surface of healthy skin are compared as a function of time. The results show a distinct difference in the thermal responses between healthy tissue and the malignant lesion for the cases considered in the paper. The thermal response of benign lesions was found to be similar to that of healthy skin tissue. This difference can be used to identify malignant lesions and quantify their malignant potential. Experimental data from the clinical study are compared with results obtained by simulating the thermal behavior of the skin lesion numerically using a computational model developed for this purpose. The computed results showed that the lesion parameters and properties can be estimated and the influence of malignant lesion on the transient thermal response can be quantified with our computational model. (C) 2010 Elsevier Masson SAS. All rights reserved.