Intraarterial Degradation of Calcium Hydroxylapatite Using Sodium Thiosulfate – An In Vitro and Cadaveric Study
Bibliographic record
Abstract
BACKGROUND: The most severe complications following soft tissue filler injections result from the intraarterial administration of the filler product. Although hyaluronic acid-based filler can be trans-arterially dissolved with hyaluronidase, no information is available on calcium hydroxylapatite (CaHA)-based fillers. OBJECTIVE: The authors sought to test whether CaHA-based fillers can be trans-arterially dissolved by sodium thiosulfate (STS) when evaluated in cadaveric and in vitro models. METHODS: Human cadaveric facial arterial segments were each filled with 0.2 cc of commercially available CaHA product and submerged for 24 hours in 4 different STS-containing solutions: 10 cc STS (300 mg/cc) (pure, 1:1 dilution, 1:2 dilution), 0.9% saline and 10 cc STS (300 mg/cc), and 300 IU (bovine) hyaluronidase in a 1:1 ratio. RESULTS: Intraarterial CaHA was detected in human facial artery segments after 24 hours independent of the STS concentration employed. Submerging the arterial segments in STS (300 mg/cc) and 300 IU (bovine) hyaluronidase (1:1 ratio) also did not dissolve the intraarterial CaHA product. Gray scale analyses did show, however, that increasing concentrations of STS resulted in increased disintegration of CaHA in an in vitro experimental setting. CONCLUSIONS: The results of this study indicate that STS is limited in its potential to dissolve intraarterial CaHA of cadaveric human facial arteries, despite the fact that it appears effective when in direct contact with the CaHA. Adverse events caused by intraarterial administration of CaHA-based fillers still lack a suitable antidote.
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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) | 0.000 | 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".