Anatomic Location of Hyaluronic Acid Filler Material Injected into Nasolabial Fold: A Histologic Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND Products instilled within or beneath the skin to improve its physical features are known as fillers. The position of the filler within the skin is one determinant of the end cosmetic result. OBJECTIVE The objective was to histologically determine the anatomic location of injected hyaluronic acid (HA) filler within nasolabial fold (NLF) skin. METHODS AND MATERIALS Sixteen patients (12 females, 4 males; median age, 59 years) undergoing Mohs micrographic surgery for basal cell carcinoma of the NLF area consented to injection of Burow's triangle or dog-ear redundant skin with HA gel (Juvederm), ex vivo, in vivo, or in vivo with delayed (1-4 weeks) removal. Sections of alcohol-fixed, paraffin-embedded tissue specimens were stained with hematoxylin and eosin and with Hale's colloidal iron for detection of acid mucins. Dermal thickness was measured and HA distribution assessed. RESULTS NLF dermal thickness was 1.37+/-0.27 mm (mean+/-SD), with a range of 1.04 to 1.86 mm. All 16 patients showed HA filler localized to the subcutis. In 9/16 tissue samples, some HA was present in the deep dermis, but filler was only observed in more superficial dermis in 1 patient. The thickness of injected filler was 2.11+/-0.63 mm, but filler was often transected at the specimen base. CONCLUSION The predominant localization of injected HA filler is within the subcutis. A relatively thin NLF dermal thickness, typically <1.50 mm, likely precludes accurate injection of filler into dermal collagen. The results suggest that dermal localization of HA filler products is not required for an excellent cosmetic result.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 it