Cysteine Rhenium Colloid: A Novel Radiocolloid for Identifying Sentinel Lymph Nodes in Breast Cancer Surgery
Bibliographic record
Abstract
BACKGROUND: Medical isotopes are required for sentinel node lymphoscintigraphy in breast cancer, but are in critical shortage. Our center uses a modification of the standard SC, called CRC, that has been shown to require less medical isotope for the same procedure. Our objective was to determine if there was a significant difference between SC and CRC in successful lymph node identification in breast cancer patients. PATIENTS AND METHODS: This was a retrospective cohort study using prospectively-collected data on 1205 consecutive early, clinically node-negative breast cancer patients who underwent a SNB between 2002 and 2008 at 2 tertiary hospitals in Canada. RESULTS: There was no difference in successful lymph node identification rate (P = .50) or in the mean number of positive nodes identified between the 2 colloids (P = .88). The CRC group had a significantly lower rate of delayed adverse events (4.91% vs. 0.59%, P < .0001) even after adjusting for whether axillary dissection occurred on the same day as the biopsy (adjusted odds ratio, 0.12; 95% confidence interval, 0.04-0.40; P = .001). CONCLUSION: Our findings suggest that there is no significant difference between CRC and SC in detecting sentinel nodes; however, CRC uses less medical isotopes. In the current climate of critical shortages of medical radioisotopes, radiocolloids should be selected for use based on amount of radioisotope required.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".