EVALUATION OF INFERIOR DENTAL CANAL VISIBILITY ON CROSS-SECTIONAL CONE-BEAM COMPUTED TOMOGRAPHY (CBCT) IMAGES
Bibliographic record
Abstract
Objectives: This current study was aimed to evaluate visibility of inferior dental canal at various regions of mandible on CBCT cross sectional films. Methods: This Cross-sectional study was conducted at Department of Oral and Maxillofacial surgery de’Montmorency College of Dentistry/Punjab dental hospital Lahore, March 2023 to January 2024. CBCT cross sectional films of 36 cases (72 hemi mandibles) and 108 slices were evaluated by a qualified Oral and Maxillofacial Surgeon and a certified Radiologist. The visibility of IDC was denoted by not visible, partially visible and completely visible. Results: The IDC was completely visible in 77.7% of the hemi-mandibles. Partially visible were noted in 20.37% of the hemi-mandibles and 1.85% of hemi mandibles IDC was noted not visible. The visibility of the IDC on distal areas of mandible was comparatively clearer than anterior part of mandible. Visibility of IDC was unaffected by presence or absence of teeth. Conclusion: CBCT provides a quite good source to visualize Inferior Dental Canal in majority of cases. However, IDC is difficult to visualize coming near the mental foramen. Overall CBCT films are satisfactory to visualize IDC in mandible.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".