ICAT, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Facultad de Ciencias, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Skin Res Technol. 2024 Sep;30(9):e70039. doi: 10.1111/srt.70039.
The quantitative interpretation of the radiometric information extracted from infrared (IR) images in individuals with and without type 2 diabetes mellitus (DM2) is an open problem yet to be solved. This is of particular value given that DM2 is a worldwide health problem and onset for evolution toward diabetic foot disease (DFD). Since DM2 causes changes at the vascular and neurological levels, the metabolic heat distribution on the outer skin is modified as a consequence of such alterations. Of particular interest in this contribution are those alterations displayed over the skin's heat patterns at the lower limbs. At the core of such alterations is the deterioration of the vascular and neurological networks responsible for procuring systemic thermoregulation. It is within this context that IR imaging is introduced as a likely aiding tool to assist with the clinical diagnosis of DM2 at stages early enough to prevent the evolution of the DFD.
IR images of lower limbs are acquired from a cohort of individuals clinically diagnosed with and without DM2. Additional inclusion criteria for patients are to be free from any visible wound or tissue-related trauma (e.g., injuries, edema, and so forth), and also free from non-metabolic comorbidities. All images and data are equally processed and analyzed using indices that evaluate the spatial and temporal evolution of temperature distribution in lower limbs. We studied the temporal response of individuals' legs after inducing an external stimulus. For this purpose, we combine the information of the asymmetry and thermal response index (ATR) and the thermal response index (TRI), computed using images at different times, improving the results previously obtained individually with ATR and TRI.
A novel representation of the information extracted from IR images of the lower limbs in individuals with and without DM2 is presented. This representation was built using the ATR and TRI indices for the anterior and posterior views (PVs), individually and combining the information from both views. In all cases, the information of each index and each view presents linearity properties that allow said information to be interpreted quantitatively in a well-defined and limited space. This representation, built in a polar coordinate space, allows obtaining sensitivity values of 86%, 97%, and 97%, and specificity values of 83%, 72%, and 78% for the anterior view (AV), the PV, and the combined views, respectively. Additionally, it was observed that the angular variable that defines this new representation space allows to significantly (p < 0.01) differentiate the groups, while correlating with clinical variables of interest, such as glucose and glycated hemoglobin.
The linearity properties that exist between the ATR and TRI indices allow a quantitative interpretation of the information extracted from IR images of the lower extremities of individuals with and without DM2, and allow the construction of a representation space that eliminates possible ambiguities in the interpretation, while simplifying it, making it accessible for clinical use.
从患有 2 型糖尿病(DM2)和不患有 2 型糖尿病的个体的红外(IR)图像中提取的辐射信息的定量解释是一个尚未解决的开放性问题。鉴于 DM2 是一个全球性的健康问题,并且会逐渐发展为糖尿病足病(DFD),这一点尤其重要。由于 DM2 会引起血管和神经水平的变化,因此,由于这些变化,外部皮肤的代谢热量分布会发生改变。在本研究中,特别关注的是下肢皮肤热图上显示的这些变化。这种变化的核心是负责全身体温调节的血管和神经网络的恶化。正是在这种情况下,引入了 IR 成像作为一种可能的辅助工具,以帮助在 DM2 的临床诊断中尽早进行,以预防 DFD 的发展。
从临床诊断患有和不患有 DM2 的个体中采集下肢的 IR 图像。患者的其他纳入标准是没有任何可见的伤口或与组织相关的创伤(例如,损伤、水肿等),并且没有非代谢合并症。所有图像和数据都使用评估下肢温度分布的时空演化的指数进行同等处理和分析。我们研究了个体腿部在诱导外部刺激后的时间响应。为此,我们结合了不对称性和热响应指数(ATR)和热响应指数(TRI)的信息,这些信息是使用不同时间的图像计算得出的,提高了以前单独使用 ATR 和 TRI 获得的结果。
提出了一种从患有和不患有 DM2 的个体的下肢 IR 图像中提取信息的新表示方法。该表示方法是使用前后视图(PV)的 ATR 和 TRI 指数分别构建的,并结合了来自两个视图的信息。在所有情况下,每个指数和每个视图的信息都具有线性性质,允许在定义明确且有限的空间内对其进行定量解释。该表示形式构建在极坐标空间中,分别为前视图(AV)、PV 和组合视图提供了 86%、97%和 97%的灵敏度值,以及 83%、72%和 78%的特异性值。此外,还观察到,定义这个新表示空间的角度变量允许显著(p<0.01)区分两组,同时与葡萄糖和糖化血红蛋白等感兴趣的临床变量相关。
ATR 和 TRI 指数之间存在的线性性质允许对患有和不患有 DM2 的个体的下肢 IR 图像中提取的信息进行定量解释,并允许构建一个表示空间,消除解释中的可能歧义,同时简化解释,使其可用于临床使用。