Evidence map›Paper›PMID 34209986›Full record

ArticleSensors (Basel, Switzerland)2021

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

José R González, Charbel Damião, Maira Moran, Cristina A Pantaleão, Rubens A Cruz, Giovanna A Balarini, Aura Conci

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. The role of infrared thermography in thyroid nodule detection and classification: a scoping review.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
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  4. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

José R GonzálezInstitute of Computing, Fluminense Federal University, Niterói, Rio de Janeiro 24220-900, Brazil.ORCID 0000-0002-1392-2632
Charbel DamiãoDepartment of Internal Medicine, Fluminense Federal University, Niterói, Rio de Janeiro 24033-900, Brazil.ORCID 0000-0002-1115-350X
Maira MoranInstitute of Computing, Fluminense Federal University, Niterói, Rio de Janeiro 24220-900, Brazil.ORCID 0000-0002-3341-0925
Cristina A PantaleãoDepartment of Internal Medicine, Fluminense Federal University, Niterói, Rio de Janeiro 24033-900, Brazil.ORCID 0000-0002-9668-5387
Rubens A CruzDepartment of Internal Medicine, Fluminense Federal University, Niterói, Rio de Janeiro 24033-900, Brazil.ORCID 0000-0002-5083-4543
Giovanna A BalariniDepartment of Internal Medicine, Fluminense Federal University, Niterói, Rio de Janeiro 24033-900, Brazil.ORCID 0000-0002-1815-9373
Aura ConciInstitute of Computing, Fluminense Federal University, Niterói, Rio de Janeiro 24220-900, Brazil.ORCID 0000-0003-0782-2501
Universidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Thyroid NoduleComputer SimulationHumansTemperaturecancerinfrarednumerical modelingtemporal seriesthermographythyroid

Identifiers

PMID34209986
PMCPMC8272175
OpenAlexW3176444762

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.