The effect of furosemide dose timing on bladder activity in oncology imaging with 18F-fluorodeoxyglucose PET/CT
Bibliographic record
Abstract
OBJECTIVE: To compare the effects of two furosemide administration protocols on bladder activity during 18F-fluorodeoxyglucose (18F-FDG) PET/computed tomography (CT) imaging. METHODS: A total of 109 consecutive patients with known or suspected malignancy, meeting our inclusion criteria, were chosen over a discrete time period. Group 1 (n=39) received furosemide 20 mg intravenous 15 min before PET/CT imaging (i.e. approximately 45 min after 18F-FDG administration). Group 2 (n=45) received furosemide 20 mg intravenous 15 min after 18F-FDG. Group 3 (n=25) did not receive furosemide and served as controls. Bladder standard uptake values (SUVs) and volume, and liver SUV data were collected. RESULTS: Relative to the control group, both furosemide groups showed significantly lower mean and maximum SUV bladder activities (P<0.001), lower mean bladder-to-liver SUV ratios (P<0.001), larger mean bladder volumes (P<0.001) and higher proportions of bladder PET/CT image mis-registration. Patients tolerated earlier administration of furosemide (group 2) better relative to urinary urgency during imaging. CONCLUSION: The use of a relatively simple diuretic protocol can significantly lower bladder FDG activity and potentially improve image quality by reducing bladder activity artifacts and avoid invasive bladder catheterization. Administering furosemide earlier after FDG injection (i.e. 15 min) versus later (i.e. 15 min before imaging) appears to be better tolerated by patients.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".