Informed Consent for Radiation in Interventional Radiology Procedures
Bibliographic record
Abstract
PURPOSE: To explore the patient perception on radiation-related cancer risk from interventional radiology (IR) procedures and whether informed radiation consent is warranted. METHODS: A multiple-choice survey was prospectively administered to 68 adults undergoing a body or neuro-IR procedure with ionizing radiation exposure. Subgroup analysis with chi-square or Fisher exact test was performed based on patient past IR history (P < .05). RESULTS: A total of 81% of patients wanted to be informed if there was a radiation-related 3% increased cancer risk over 5 years. Although 55% considered 3% a small risk, 28% wanted to further discuss the risks and alternate options, and 15% would have only proceeded if it were a life-saving procedure: 89%, 80%, and 67% of patients wanted to be informed with exposure risks of 1 in 100, 1 in 1000, and 1 in 10,000, respectively. Only 53% were aware they were going to be exposed to radiation, irrespective of past IR history (P = .15). Most patients believed radiation consent should include radiation-related cancer risks (85%). No past IR history was significantly associated with wanting consent to include cancer-related risk (100% vs 76%; P = .01) and deterministic risks (70% vs 41%; P = .04). A majority (69%) believed both the referring physician and the interventional radiologist were responsible for obtaining radiation consent, and 65% of patients wanted verbal consent followed by signed written consent, regardless of past IR history. CONCLUSIONS: Many patients want to discuss cancer-related radiation risks with both radiologists and physicians. Informed radiation consent should be considered for procedures with high anticipated radiation doses.
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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 | 0.019 |
| 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) | 0.000 | 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".