Internal Radiation Monitoring of Occupational Staff in Nuclear Medicine Facility
Bibliographic record
Abstract
Unsealed radioactive sources used in Nuclear Medicine Centers, to diagnose and treat patients, pose significant risks of internal exposure to the occupational staff. This work intends to evaluate the potential risks of internal contamination of occupational staff in Nuclear Medicine facilities. 49 urine samples of 19 occupational staff working in the two busiest nuclear medicine centres, namely Institute of Nuclear Medicine and Ultrasound (INMU) and Centre of Nuclear Medicine and Ultrasound (CNMU) Dhaka, were collected to perform this study. The concentrations of 99mTc and 131I in urine samples were measured using a High Purity Germanium (HPGe) detector. The radioactivity of 99mTc and 131I were found to be 8.58±0.03 Bql-1 to 314±1.92 Bql-1 and from 6.47±0.03 Bql-1 to 283±0.27 Bql-1 respectively. The effective doses of occupational staff have also been calculated using the radioactivity concentration and the dose coefficients. Due to the highest (314 Bql-1) and the lowest (8.58Bql-1) concentration of 99mTc, the effective doses were 14.7 ?Sv and 0.402?Sv, on the other hand for the highest (283 Bql-1) and the lowest (6.47 Bql-1) concentration of 131I, the effective doses were 5.58 ?Sv and 0.12 ?Sv. These values are within limits, however to avoid inhalation and contamination of 131I and 99mTc proper working environment should be established with suitable ventilation system, fume hood, mask, etc. DOI: http://dx.doi.org/10.3329/bjmp.v5i1.14670 Bangladesh Journal of Medical Physics Vol.5 No.1 2012 63-70
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".