Treatment and Resolution of an Implant Periapical Lesion (IPL) with Guided Bone Regeneration
Bibliographic record
Abstract
Background. Implant periapical lesion (IPL) is a rare condition that can affect dental implants. Several different approaches have been proposed for the treatment of this condition. Awareness and literature discussing this condition and possible treatment options have grown significantly in the last 25 years. Case Presentation. The present case report describes the treatment of an implant periapical lesion with a combined approach consisting of surgical lesion removal, mechanical instrumentation with titanium brush, detoxification with tetracycline, and guided bone regeneration (GBR) with demineralized allograft bone and cross‐linked collagen membrane. The patient was followed up for 6 months postoperatively, showing complete resolution of the buccal fistula. No signs or symptoms of discomfort or pathology were reported. Conclusions. The case report presented a combined approach that can be successful in the surgical treatment of an IPL in which the implant stability is maintained.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".