Application of modified tragus incision in temporomandibular joint disc anchoring surgery
Bibliographic record
Abstract
[Objective:] To introduce the surgical technique of temporomandibular joint disc anchoring through a modified tragus incision. [Methods:] From February 2017 to October 2021, 264 patients (328 sides of joints) with advanced anterior disc displacement without reduction (ADDWoR) admitted to our hospital were treated with temporomandibular joint disc anchorage using a modified tragus approach. The specific method was as follows: Use a modified intraauricular approach to separate the superficial temporal fascia and the deep and superficial layers of the deep temporal fascia, as well as the joint capsule, cut the joint capsule at the root of the zygomatic arch, expose the joint disc, using a Mini Mitek anchor screw to fix it at the posterior and lower pole of the condylar process, and using two Orthocor sutures for horizontal mattress suture to reposition the anterior displaced joint disc. Magnetic resonance imaging (MRI) of the temporomandibular joint was performed before and within 7 days after surgery. The facial nerve condition was observed from 1 to 7 days after surgery, follow-up MRI was performed 3 months after surgery, and the mouth opening degree was recorded at 1 week, 1 month, and 3 months after surgery. The visual analog scale (VAS) was used to record the relief of temporomandibular joint pain in patients at 3 months after surgery. The vancouver scar scale was used to evaluate the scar condition in the surgical area at 3 months after surgery. [Results:] According to the evaluation of postoperative MRI, 306 joints (249 cases) were evaluated as "excellent", 20 joints (14 cases) were evaluated as "good", and 2 joints (one case) were evaluated as "poor". The successful reduction rate was 99.39% (326/328 sides). Only one patient evaluated as "poor" after surgery, accounting for 0.61% (2/328 sides). At the 3-month follow-up after surgery, all patients showed improvement in limited mouth opening, with pain scores below 2 and scar evaluations below 3. [Conclusion:] Improving the concealed position of the incision inside the tragus and achieving good results in the reduction of the temporomandibular joint disc is a widely applicable surgical approach for temporomandibular joint disc anchoring.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".