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Record W4410346497 · doi:10.1093/asjof/ojaf018.007

Morselized Bone Graft: A Tool for Nasal Dorsum Contouring and Refinement

2025· article· en· W4410346497 on OpenAlex
Shaishav Datta, Steven A. Hanna, Buğra Tügertimur, Alannah L. Phelan, Matthew Morris, Paige Goote, David Mattos, Richard G. Reish

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAesthetic Surgery Journal Open Forum · 2025
Typearticle
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsContouringDorsumNasal dorsumMedicineNasal boneAnatomyComputer scienceNoseRhinoplastyComputer graphics (images)

Abstract

fetched live from OpenAlex

Abstract Goals/Purpose The nasal dorsum is a cornerstone of rhinoplasty aesthetics, playing a vital role in achieving facial harmony and balance. Achieving a smooth, refined nasal profile remains a significant challenge, particularly in thin-skinned patients who are more susceptible to contour irregularities. Many techniques are used to address this problem, including diced cartilage, fascia, acellular dermal matrices, and silicone implants. This study aims to evaluate the effectiveness of using morselized bone grafts (MBG)–specifically, unused bone rasp material that is typically discarded–as a technique for contouring and refining the nasal dorsum after dorsal reduction. Methods/Technique The senior surgeon exclusively utilizes an open approach to rhinoplasty, and all cases are performed under general anesthesia. After performing a dorsal hump reduction with a bone rasp, the MBG is stored on the back table for later use in the same case. After addressing other components of the rhinoplasty procedure, attention is turned back to the nasal dorsum, wherein any contour irregularities are filled with the MBG paste. A retrospective chart review of rhinoplasty cases in the senior author's practice was conducted between January 2021 and June 2022. The inclusion criteria were cosmetic or functional rhinoplasty cases in which autologous MBG was used for dorsum refinement and contouring with a minimum of 12 months of follow-up. 953 patients met the inclusion criteria and were included in the study. Outcomes of interest included the rate of postoperative infection, defined as patients with signs of infection requiring antibiotics after completing their standard course of prophylactic antibiotics, and the rate of operative revisions. Results/Complications The mean age of our study group was 31.6 years old, with 869 female patients. 640 cases were primary rhinoplasties. The mean follow-up period was 23.5 months, with a minimum of 12 months of follow up for each patient. The rate of postoperative infection in our case series was 2.7%, with 26 patients requiring postoperative antibiotics. 17 (1.8%) patients required operative revision, among whom 4 (23.5%) patients were revision cases. There were no patients who sought revision rhinoplasty for concerns related to dorsal irregularities or contour defects. Conclusion MBG use for nasal dorsum aesthetics is a safe, convenient, and effective technique in camouflaging and concealing nasal dorsum irregularities in both primary and revision rhinoplasty. Additionally, as there is no additional equipment required and minimal operative time added when performing this technique, MBG use is an efficient alternative to other techniques for addressing dorsal aesthetics with no additional donor-site morbidity when paired with boney dorsal reduction. Future steps will involve performing a five-year follow-up on this cohort of patients to assess for long-term dorsal aesthetics following MBG use.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.793

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.315
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it