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Article

A Computational Study on the Role of Parameters for Identification of Thyroid Nodules by Infrared Images (and Comparison with Real Data)

1
Institute of Computing, Fluminense Federal University, Niterói, Rio de Janeiro 24220-900, Brazil
2
Department of Internal Medicine, Fluminense Federal University, Niterói, Rio de Janeiro 24033-900, Brazil
*
Author to whom correspondence should be addressed.
Sensors 2021, 21(13), 4459; https://doi.org/10.3390/s21134459
Submission received: 31 May 2021 / Revised: 23 June 2021 / Accepted: 25 June 2021 / Published: 29 June 2021
(This article belongs to the Special Issue Thermal Imaging Sensors and Their Applications)

Abstract

According to experts and medical literature, healthy thyroids and thyroids containing benign nodules tend to be less inflamed and less active than those with malignant nodules. It seems to be a consensus that malignant nodules have more blood veins and more blood circulation. This may be related to the maintenance of the nodule’s heat at a higher level compared with neighboring tissues. If the internal heat modifies the skin radiation, then it could be detected by infrared sensors. The goal of this work is the investigation of the factors that allow this detection, and the possible relation with any pattern referent to nodule malignancy. We aim to consider a wide range of factors, so a great number of numerical simulations of the heat transfer in the region under analysis, based on the Finite Element method, are performed to study the influence of each nodule and patient characteristics on the infrared sensor acquisition. To do so, the protocol for infrared thyroid examination used in our university’s hospital is simulated in the numerical study. This protocol presents two phases. In the first one, the body under observation is in steady state. In the second one, it is submitted to thermal stress (transient state). Both are simulated in order to verify if it is possible (by infrared sensors) to identify different behavior referent to malignant nodules. Moreover, when the simulation indicates possible important aspects, patients with and without similar characteristics are examined to confirm such influences. The results show that the tissues between skin and thyroid, as well as the nodule size, have an influence on superficial temperatures. Other thermal parameters of thyroid nodules show little influence on surface infrared emissions, for instance, those related to the vascularization of the nodule. All details of the physical parameters used in the simulations, characteristics of the real nodules and thermal examinations are publicly available, allowing these simulations to be compared with other types of heat transfer solutions and infrared examination protocols. Among the main contributions of this work, we highlight the simulation of the possible range of parameters, and definition of the simulation approach for mapping the used infrared protocol, promoting the investigation of a possible relation between the heat transfer process and the data obtained by infrared acquisitions.
Keywords: infrared; temporal series; thermography; thyroid; cancer; numerical modeling infrared; temporal series; thermography; thyroid; cancer; numerical modeling

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MDPI and ACS Style

González, J.R.; Damião, C.; Moran, M.; Pantaleão, C.A.; Cruz, R.A.; Balarini, G.A.; Conci, A. A Computational Study on the Role of Parameters for Identification of Thyroid Nodules by Infrared Images (and Comparison with Real Data). Sensors 2021, 21, 4459. https://doi.org/10.3390/s21134459

AMA Style

González JR, Damião C, Moran M, Pantaleão CA, Cruz RA, Balarini GA, Conci A. A Computational Study on the Role of Parameters for Identification of Thyroid Nodules by Infrared Images (and Comparison with Real Data). Sensors. 2021; 21(13):4459. https://doi.org/10.3390/s21134459

Chicago/Turabian Style

González, José R., Charbel Damião, Maira Moran, Cristina A. Pantaleão, Rubens A. Cruz, Giovanna A. Balarini, and Aura Conci. 2021. "A Computational Study on the Role of Parameters for Identification of Thyroid Nodules by Infrared Images (and Comparison with Real Data)" Sensors 21, no. 13: 4459. https://doi.org/10.3390/s21134459

APA Style

González, J. R., Damião, C., Moran, M., Pantaleão, C. A., Cruz, R. A., Balarini, G. A., & Conci, A. (2021). A Computational Study on the Role of Parameters for Identification of Thyroid Nodules by Infrared Images (and Comparison with Real Data). Sensors, 21(13), 4459. https://doi.org/10.3390/s21134459

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