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Record W4392373798 · doi:10.14393/ufu.di.2024.105

Exposição ocupacional em cardiologia intervencionista por meio de dosimetria computacional – uma análise do IMC do paciente

2024· dissertation· pt· W4392373798 on OpenAlexaff
T. G. Zandoná

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldMedicine
TopicRadiation Dose and Imaging
Canadian institutionsBC Research (Canada)
Fundersnot available
KeywordsMedicineHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

With the growing number of obese people around the world, the incidence of obesity-related diseases, such as cardiovascular diseases, is also increasing. An alternative for treating some of these diseases is through interventional cardiology (IC), which uses ionizing radiation to visualize and treat these conditions in a minimally invasive manner. Therefore, the treatment of obese patients through IC procedures has been very common. One of these procedures is coronary angiography (CA), discussed in this work. As X-rays are activated in real time during these procedures, the doses received by workers present in the room are of great concern. Since occupational exposures are proportional to the doses received by the patient and these tend to be higher in obese patients due to the need of more energetic radiation, it is assumed that professionals receive higher doses the larger the patient's size. The goal of this work is to analyze the influence of patient’s body mass index (BMI) on occupational doses. Thus, effective and equivalent doses were obtained for two professionals, a main physician and an assistant, for three different patient sizes, from computer simulations using the Monte Carlo method. A common IC room was simulated with PA, LAO45, RAO30 and RLAT projections. The voltages used were 80 kV and 100 kV, with the spectra generated by the SpekCalc software with additional filtration of 1.5 mmAl, anode angle of 12º and tungsten target. It was observed that the doses in the professionals were very close for the different sizes of patients when dealing with the same tube voltage, in all projections. Higher occupational doses were associated with obese patients only when they were examined at higher tube voltage than leaner patients. The projection considered most critical was RLAT. In it, the two professionals received the highest effective doses, that is 3.04 μSv for the main physician and 2.85 μSv for the assistant. Considering the different parameters studied, professionals were more exposed in the situation in which the smaller patient was examined at 100 kV in the RLAT projection, a situation in which workers receive both scattered and primary radiation. It was possible to conclude that the main parameter affecting occupational doses, when analyzing different patients, was tube voltage. As for equivalent doses, it was found that the eye lens was one of the organs that received the highest dose, in both professionals, even with the use of lead glasses. The results found emphasize the need for the use of individual and collective protective equipment by all professionals working in CA procedures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.318
Teacher spread0.299 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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