Resolution of Maxillary Sinus Mucositis after Endodontic Treatment of Maxillary Teeth with Apical Periodontitis: A Cone-beam Computerized Tomography Pilot Study
Bibliographic record
Abstract
This study characterized maxillary sinus mucositis (SIMS) adjacent to teeth with apical periodontitis (AP), and assessed its resolution three months after endodontic treatment. 29 subjects who maxillary posterior teeth with AP were imaged with cone-beam computed tomography (CBCT). Resolution of SIMS was assessed with CBCT three months after treatment, and periapical healing was assessed using the PAI after six months. Four non-compliant subjects were discontinued and SIMS was identified in 14/25 subjects (56%). Three months post-treatment, SIMS was resolved fully in 3/10 subjects (30%), and partially in 3/10 subjects (30%). Six months post-treatment, 6/10 subjects (60%) were classified as healed or healing. CBCT revealed a lower-than-expected prevalence of SIMS adjacent to teeth with AP. In specific cases SIMS might linger beyond three months after the elimination of the endodontic infection. Due to the low statistical power, association between the resolution of SIMS and periapical healing could not be explored.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".