Extra oral digital scanning and imaging superimposition for volume analysis of bone remodeling after tooth extraction with and without 2 types of particulate porcine mineral insertion: A randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Incorporation of bone substitute material into the extraction socket could minimize the edentulous ridge volume loss or maximize the bone formation within the healing area. PURPOSE: The aim of the study was to test the effectiveness in maintaining the volumetric contour of fresh extraction sockets grafted with or without 2 types of porcine biomaterials and covered with a resorbable barrier. MATERIALS AND METHODS: In the present multi-center single-blind randomized control trial, 55 patients underwent 1-tooth extraction, were surveyed, and randomly allocated to control- (25 sites, nat-group) or test groups (15 sites grafted with pre-hydrated collagenated cortico-cancellous porcine bone, coll-group, and 15 with cortical porcine bone, cort-group). Before extraction, and then 4 months later, contours of the sockets were acquired through a laser scanner, voxelized, and ghosts of each patient were superimposed with a matrix laboratory. Volumetric and area evaluations of the virtual superimposed models were performed with dentascan tools to create a volume of interest extending between the 2 residual teeth. Intra- and inter-group comparisons of the outcomes were performed. Non-parametric tests were applied with a level of significance set at P < .05. RESULTS: Intergroup analysis at 4 months' survey revealed that percentage loss of alveolar ridge volume of the coll-group (28.8% ± 8.8%) and of the cort-group (30.2% ± 7.1%) was significantly lower (P < .0001) than that of the naturally-healing group (46.4% ± 4.1%). No statistically-significant differences in outcomes were observed between the 2 test groups at any of the observation periods. Moreover, tooth position (bicuspids vs molars) seemed to affect neither volume loss nor basal shrinkage. CONCLUSION: At the 4-month analysis both test groups showed reduced bone loss when compared to naturally healing sockets. However, the 2 grafting materials were not able to preserve the alveolar crest, and a reduction close to 30% in the estimates was registered after healing.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".