Thermal Evaluation to Identify Nodules Using Semivariogram Curves

Thermography can contribute to the early diagnosis of tumors by identifying nodules that need to be analyzed. The objective of this paper was to verify possible semivariogram curves to identify the possible spatial behavior centered in the region with the nodule and capture the thermal behavioral information surroundings of this point. For this, we used the resources of R-Studio and theoretical basis in semivariogram models. As results we verified that the spatial technique indicates Gaussian behavior in both healthy and tumor areas, but the thermal averages differ from each other. Based on the cases analyzed, all tumors evaluated were thermally significantly different in relation to the healthy point, even when presenting the same model for the semivariogramClinical Relevance—Thermographic is a non-invasive technique and has been widely studied to aid in the early diagnosis of neoplasms by identifying nodules that need to be evaluated. Without this early identification, only larger (palpable) tumors would be evaluated, and thus many patients are at risk of developing metastasis before treatment begins.