Photobiomodulation to Reduce Orthodontic Treatment Time in Adults: A Historical Prospective Study
Bibliographic record
Abstract
Background: Orthodontic treatment in adult patients is hindered by several problems, such as little time for regular dental visits and financial costs. In recent years, photobiomodulation (PBM) has been shown to significantly reduce the duration of orthodontic treatment and significantly increase patient compliance. Objective: This study aimed to investigate the efficacy of PBM in shortening the orthodontic treatment duration in adult patients while ensuring optimal patient compliance. Methods: A total of 170 orthodontic patients with a Little’s irregularity index (LII) ≥ 3 mm treated with Invisalign clear aligners (Align Technology, Santa Clara, CA, USA) were included. The treatment group (PBM) (n = 90 patients) was trained in the use of the OrthopulseTM device (Biolux Research, Vancouver, Canada) according to an application protocol of 5 min per day. The control group (n = 80 patients) was treated with transparent Invisalign® without PBM applications. The LII was measured at a baseline and each aligner change until the end of the treatment when the LII was less than 1 mm. The crowding resolution rate (CRR), expressed in mm/week, and the total treatment time were measured. Results: The alignment rate of the PBM group was significantly higher than that of the control group (0.33 mm/week vs. 0.21 mm/week) with a reduction in the treatment time of 57.5 weeks in the PBM group compared with the control group. Conclusion: The PBM performed with the Orthopulse™ is shown to be an effective and noninvasive technique for accelerating teeth movements and can contribute in a relevant way to increase access to orthodontic treatment by the adult population as well as increase its compliance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".