Randomized Controlled Trial of Radiation Protection With a Patient Lead Shield and a Novel, Nonlead Surgical Cap for Operators Performing Coronary Angiography or Intervention
Bibliographic record
Abstract
BACKGROUND: Interventional cardiologists receive one of the highest levels of annual occupational radiation exposure. Further measures to protect healthcare workers are needed. METHODS AND RESULTS: We evaluated the efficacy of a pelvic lead shield and a novel surgical cap in reducing operators' radiation exposure. Patients undergoing coronary angiography or percutaneous coronary intervention (n=230) were randomized to have their procedure with or without a lead shield (Ultraray Medical, Oakville, Canada) placed over the patient. During all procedures, operators wore the No Brainer surgical cap (Worldwide Innovations and Technology, Kansas City, KS) designed to protect the head from radiation exposure. The coprimary outcomes for the lead shield comparison were (1) operator dose (µSv) and (2) operator dose indexed for air kerma (µSv/mGy). For the cap comparison, the primary outcome was the difference between total radiation dose (µSv; internal and external to cap). The lead shield use resulted in a 76% reduction in operator dose (mean dose, 3.07; 95% confidence interval [CI], 2.00-4.71 µSv lead shield group versus 12.57; 95% CI, 8.14-19.40 µSv control group; P<0.001). The mean dose indexed for air kerma was reduced by 72% (0.004; 95% CI, 0.003-0.005 µSv/mGy lead shield group versus 0.015; 95% CI, 0.012-0.019 µSv/mGy control group; P<0.001). The cap use resulted in a significant reduction in operator head radiation exposure (mean left temporal difference [external-internal] radiation dose was 4.79 [95% CI, 3.30-6.68] µSv; P<0.001). CONCLUSIONS: The use of a pelvic lead shield and the cap reduced significantly the operator radiation exposure and can be easily incorporated into clinical practice. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT02128035.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".