Panfacial Approach to Rejuvenation Using Calcium Hydroxylapatite: A Case Series Illustrating Calcium Hydroxylapatite Versatility Through Dilution and a Multilayered Treatment Approach
Bibliographic record
Abstract
Dermal fillers can be used in a wide range of applications. Although the versatility of hyaluronic acid fillers stems from the wide array of available products, for the biostimulatory filler calcium hydroxylapatite (CaHA), dilution can be used to control product volumizing capacity and flow properties, facilitating use for panfacial rejuvenation. Here, the authors share case studies illustrating how CaHA at various dilutions can be used to achieve global aesthetic improvement as part of a multilayered approach to rejuvenation. As part of a continuing medical education activity, the authors treated patients with 1 to 3 sessions of CaHA at various dilutions. Six months after the patients' initial treatments, the authors reconvened to share their experiences and discuss patient results. Select case studies are presented. Though each patient recieved a unique treatment tilored to their own needs, several themes emerged. Although undiluted product can be used to provide deeper volume and structural support in areas like the chin, jawline, and temples, more dilute product (1:1 and 1:2) can be used to provide some volume and/or smooth transitions in the face, whereas hyperdilute CaHA can be used over an even wider surface area in the face, neck, or décolletage to tighten skin and improve skin quality (1:3 and 1:4 dilutions). In the cases presented, patients achieved improvement in appearance through treatment with multiple dilutions of CaHA, providing several examples of how CaHA may be used as part of a multilayered approach to facial rejuvenation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".