Validation of a commercial Gluceptate kit for in vitro Tc-99m labeling of red blood cells
Bibliographic record
Abstract
1649 Objectives In vivo Tc-99m labeling of red blood cells(RBC) is primarily used for gated blood pool studies but can suffer from low labeling efficiences(LE)/drug interferences. In vitro labeling provides higher LE needed for gastrointestinal bleed, splenic imaging, hepatic hemangioma and blood volume determinations but clinical reimbursements rarely cover cost differentials for unit dose in vitro labeling kits. We set out to validate a cost effective multidose in vitro labelling technique using Health Canada licensed products. Methods Draximage Gluceptate kit (25 mg calcium gluceptate, 3 mg SnCl2.2H2O) undergoes aseptic double dilution resulting in 7.5 ug SnCl2.2H2O in 0.4 ml saline. 5 ml heparinized whole blood is added/mixed for 5 min. A 4 ml saline rinse of sterile vacutainer with 10.6 mg K2EDTA is added to chelate extracellular tin prior to 3 min centrifugation (stopper end down at 1000g). 2 ml packed RBC are added to 1000 MBq of pertechnetate and incubated 7 min. LE is determined by washing 0.2 ml labeled cells with 3 ml of saline. Plasma stability of 1 ml labeled RBC mixed with 12 ml plasma is assessed at 0, 1, 2, 4, 6 & 24hr. Results LE was 98.1+ 1.1% , n=187 patients, 20 staff. First milking of generators did not adversely impact LE despite build up of Tc-99g. Prefilling syringe hubs with saline avoids oxygen addition. High LE (97.6 + 0.7%,n=8), sterility and apyrogenicity was maintained when used for multiple patients up to 7 hr. Stability testing in plasma (n=16) was excellent: 97.2%(1hr), 96.2%(2hr), 93.9%(4 hr)& 92.2%(6hr). Conclusions Careful aseptic double dilution of a commercial stannous gluceptate kit and dilute EDTA rinse resulted in in vitro Tc-99m LE over 97% with excellent plasma stability. Cost savings are significant ( Research Support London Health Sciences Centr
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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 | 0.000 | 0.000 |
| 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".