Imaging Fusion between Anatomical and Infrared Thermography of the Thyroid Gland

Souza, Mauren Abreu de; Bueno, A. P.; Magas, V.; Neto, Guilherme Nunes Nogueira; Nohama, Percy

doi:10.1109/gmepe-pahce.2019.8717347

Cited by 3 publications

(2 citation statements)

References 16 publications

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“…Digital Infrared Thermal Imaging (DITI) [14] is a non-invasive technique based on IRT that allows us to visualize and quantify temperature changes in the skin surface [15]. DITI has been successfully explored in various fields of medicine, such as the determination of circulatory problems, assessment of the body’s reaction to a medication, physiotherapy treatments, study and diagnosis of various conditions, and detection of various cancers, especially breast tumors [15–19].…”

Section: Introductionmentioning

confidence: 99%

A computational study on the role of parameters for identification of thyroid nodules by infrared images (and its comparison with real data)

Montero

Damiao

Moran

et al. 2021

Preprint

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According to experts and medical literature, a healthy thyroid gland, or a thyroid containing benign nodules, tend to be less inflamed and less active than one with malignant nodules. It seems to be a consensus that malignant nodules have more blood veins and it may be related to the maintenance of high and constant temperatures. Investigation of these characteristics, detectable by infrared sensors, and answering if they constitute patterns of malignancy are the aims of this work. Experiments considering biological heat transfer analysis by Finite Element numerical simulations are used to show the influence of nodule and patient characteristics on the identification of malignancy of thyroid nodule by thermography. The used and approved protocol for infrared examination are analyzed and simulated during all its phase that is on transient and steady state behavior, in order to verify how and when their influence can be really recognized in patients. Simulation results and the analysis of infrared exams show that the tissues between the skin and the thyroid, as well as the nodule size, have influence in superficial temperatures. Other thermal parameters of thyroid nodules are also investigated and show little influence on surface temperatures. These characteristics must be considered in nodular infrared analysis and diagnosis by thermography. The infrared examinations of patients that meet the hypotheses related to the vascularization of the nodule confirm the numerical results. All details of the physical parameters used in the simulations, characteristics of the nodules, and their complete thermal examinations are public and available, turning possible that the presented simulation could be compared with other types of heat transfer solutions. This study is a concrete contribution to the answer of under what conditions thermography can be useful in the identification of thyroid nodules.Author summaryThyroid nodules are very common health problems. These nodules may have different characteristics, and some of them could influence the temperature of the region. Many works in the medical literature report that the healthy thyroid and even benign nodules tend to be less inflamed and active than malignant nodules and therefore should exhibit some variation in patterns of behavior related to the temperature variation between them. The focus of this work is to analyze some parameters of the nodules and details of the patients that can influence the identification and diagnosis of thyroid nodules by infrared images. To reach the objective, simulations of bioheat transfer in the neck (using a simple neck geometry and Finite Elements Analysis in COMSOL Multiphysics Software) and real infrared examinations (performed with a FLIR Infrared Camera model SC620 and a proposed protocol) were analyzed. Our results show the thermal insulation effect of the neck fat tissue, and that the effect of nodule sizes can be decremented by a thicker layer of fat. The analysis of the nodule parameters as blood perfusion rate and metabolic heat, which could be related with the nodule vascularization (an important condition related with malignancy), suggest that the thermal effects of thyroid nodules on the neck surface are not sufficient to differentiate benign from malign, and for this other features or methods must be considered.

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Section: Introductionmentioning

confidence: 99%

A computational study on the role of parameters for identification of thyroid nodules by infrared images (and its comparison with real data)

Montero

Damiao

Moran

et al. 2021

Preprint

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“…Digital Infrared Thermal Imaging (DITI) [ 16 ] is a non-invasive technique based on IRT that allows to visualize and quantify temperature changes in the skin surface [ 17 ]. DITI has been successfully explored in various fields of medicine, such as the determination of circulatory problems, assessment of the body’s reaction to a medication, physiotherapy treatments, study and diagnosis of various conditions, and detection of various type of cancers [ 17 , 18 , 19 , 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

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

González

Damião

Morán

et al. 2021

Sensors

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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.

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Thermography screening of thyroid gland: how to distinguish health from pathology

Dolgov

Volovik

Nikitina

et al. 2019

Medicinskij alfavit

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This research is organized to investigate if the thermal gradient (Tgrad) (difference between temperature maximum and minimum in the region of interest over thyroid gland on neck thermogramm) could be a marker of normal/ abnormal thyroid function and, if so, find out the cut-off value and check it screening validity.Materials and methods. Thermography examination was performed using a TVS-300 med (S-Petersburg, Russia) thermal imaging camera with a resolution of 384 × 288 pixels and sensitivity was <0.04 °C according to European Association of Thermology standards. Anterior neck thermografic images were performed and collected in cloud database, where, by mean of program tools, region of interest were marked and Tgrad calculated. Totally 1025 pts with different thyroid pathology (group 1: female 944, age 15–90 (55,4±15,8), male 81, age 14–86 (53,6±18,8)), and 395 healthy persons (group 2: male 324 age 17–26 (21,8±4,4), female 71 age 16–70т (34,6±12,7)) were investigated. To check the quality of the model another 314 persons (18 male and 296 female) were studied in screening mode.Results. Calculated Tgrad value was 1,65±0,53 °C, Ме 1,53(1,24; 1,90) and 0,98±0,23 °C, Me 1,01(0,82; 1,15) for group 1 and 2 accordingly. By mean of binary logistic regression analysis we found good correlation between Tgrad value and presence/absence of thyroid pathology: significance level р<0,0001, χ² = 838,84, df = 1, β 0 = 9,984, β 1 = –9,033. Area under curve in ROC analysis was 0,922 (95 % CI 0,908; 0,935), р<0,001; optimal cut off value for Tgrad was 1,21 °C for maximal sensitivity (79,8 %) and specificity (83,3 %). In screening evaluation, according to optimal cut-off value 1,2 °C for Tgrad , 82,2 % of cases were classified correctly: true-positive and true-negative results were achieved in 258 from 314 pts.Conclusion. Thermography test, based on Tgrad value calculation, could help to distinguish persons with normal and abnormal function of thyroid gland.

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Imaging Fusion between Anatomical and Infrared Thermography of the Thyroid Gland

Cited by 3 publications

References 16 publications

A computational study on the role of parameters for identification of thyroid nodules by infrared images (and its comparison with real data)

A computational study on the role of parameters for identification of thyroid nodules by infrared images (and its comparison with real data)

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

Thermography screening of thyroid gland: how to distinguish health from pathology

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