Effects of a Semiconductor Laser on Pulp Temperature Sensitivity Threshold Level and Dentin Hypersensitivity
Bibliographic record
Abstract
There are various symptoms in dentin hypersensitivity, and various treatments have been carried out. Although newly developed semiconductor laser devices are expected to be used in clinical applications, the possible mechanisms of their anesthetic effect are still unclear. We therefore examined the effects of Nd:YAG laser irradiation in terms of hypersensitivity and dental pulp hemodynamics.Twenty volunteers (10 males and 10 females, mean age 30.0±3.9 and 27.3±1.6 years, respectively), participated in the study. Both sides of healthy mandibular canines were selected as the experimental site: the right cervical surface was the irradiated site, and the left cervical surface was the control site without irradiation. Eleven teeth with dentin hypersensitivity were used in this study. A pulsed semiconductor laser was applied to the area twice for 30 seconds each, at 1 W, RPT 3 ms, duty 10%.On both the control side and the irradiation side, pulp temperature sensitivity threshold level was measured by an electrothermal stimulator, the probe tip of which could be heated from 30°C to 65°C. A statistically significant increase in the pulp threshold level was observed in males after irradiation (p<0.05).The severity of pain was evaluated by McGill Pain Questionnaire (MPQ), and there was a statistically significant decrease in the MPQ score after irradiation.These results suggest that semiconductor laser irradiation is useful for dentin hypersensitivity.
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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) | 0.000 | 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) | 0.002 | 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".