A recent study has shown that fast-acting acetaminophen (FA-acetaminophen) had a quicker onset of action than both commercial acetaminophen caplets (ES-acetaminophen) and commercial ibuprofen liquid-filled gelatin capsules (LG-Ibuprofen). This study findings were published in the journal, Current Medical Research and Opinion.

Two single-center, randomized, inpatient, placebo-controlled, double-blind design clinical trials were carried out utilizing the postoperative dental impaction pain model. Study 1 included 240 subjects, whereas study 2 had 420 subjects. The individuals involved in this study were between the ages of 17 and 50 and were suffering from moderate to severe pain after undergoing the surgical extraction of a minimum of three impacted third molars. The two studies evaluated four different treatment groups: 1,000 mg of FA-acetaminophen, 400 mg of LG-ibuprofen, 1,000 mg of ES-acetaminophen, and a placebo. The double-stopwatch method was used to determine the times to confirm perceptible pain relief (TCPR) and meaningful pain relief (TMPR). Pain intensity and relief were assessed using a 0-10 numerical rating scale for a duration of 6 hours after administering the drug.

The efficacy results demonstrated that all active treatments were statistically superior to the placebo. Within study 1, TCPR was significantly shorter for FA-acetaminophen in comparison to ES-acetaminophen and LG-ibuprofen. Additionally, FA-acetaminophen 1,000 mg showed a significantly shorter TMPR compared to LG-ibuprofen. In both studies 1 and 2, at the 15-minute mark post-administration of the study drug, PID and PAR scores were higher for FA-acetaminophen than LG-ibuprofen.

It can be concluded that FA-acetaminophen demonstrated a faster onset of action in comparison to both ES-acetaminophen and LG-Ibuprofen.

According to a recent study, deep learning can segment and identify mandibular midline landmarks with the help of the best mandibular midsagittal plane (MMSP), which is B-Gn-F. This study was published in the European Journal of Medical Research.

This study included 400 participants who were randomly assigned into a training group (n=360) and a validation group (n=40), along with a test group (n=50) comprising normal individuals. PoseNet identified 27 anatomic landmarks from the mandible images from cone-beam computed tomography (CBCT) using the PointRend deep learning mechanism. For the test group, three-dimensional (3D) coordinates were obtained for five central landmarks and two pairs of side landmarks. Using the template mapping technique, every 35 combinations of 3 midline landmarks were screened. For each of the 35 mirror planes, the asymmetry index (AI) was calculated. The top 4 planes having the smallest AIs were compared through volume difference, similarity index, and distance in order to find the plane with the least errors.

At the end of the study, it was found that in 10 ± 1.5 seconds, the mandible was automatically segmented with a 0.98 Dice similarity coefficient. Among the 27 landmarks, the average localization error was 1.04 ± 0.28 mm. The plane created by B (supramentale), Gn (gnathion), and F (mandibular foramen) should be used by MMSP. The average AI grade observed was 1.6. No significant difference was seen in volume or distance, although the similarity index was significantly different.

From the above results, it can be concluded that deep learning may segment and identify mandibular midline landmarks with the help of the best mandibular midsagittal plane (MMSP), which is B-Gn-F.

According to a recent study, low-level laser therapy (LLLT) and low-intensity pulsed ultrasound (LIPUS) effectively reduced separation pain when applied in multiple doses during orthodontic treatment. The results of this study were published in the journal, BMC Oral Health.

150 patients were randomly assigned to three groups in this single-blind, randomized controlled trial: the LLLT group, the LIPUS group, and the control group. The first dose of the laser or ultrasound was applied 5 min from the separators' placement, second dose was given after 24 h, and the last dose was administered on both maxillary and mandibular first molars after 48 h. The patients were exposed to the laser for 20 s, using an 810-nm aluminum-gallium-arsenide (AlGaAs) diode laser on continuous mode. For 20 minutes, 1.6 MHz ultrasonic toothbrush treatment was applied (5 minutes for each first molar). The control group was administered the separator without any other intervention. Pain intensity was assessed at several time intervals during the first four days post the separator’s placement, using a Visual Analog Scale (VAS 100 mm).

It was found after assessing 145 patients that a significant difference in pain perception was observed among the three groups after 5 min. Pain level reached its maximum intensity after 24 h. All the assessment time points showed a statistically significant decrease in pain scores for both the laser and the ultrasound groups when compared to the control group. Moreover, the laser and ultrasound group showed no difference between them in terms of reducing the pain scores.

Hence, it can be concluded that LLLT and the LIPUS may effectively reduce the separation pain experienced during orthodontic treatment after the application of multiple doses, without any difference between them.

According to a recent study, Silver diamine fluoride (SDF) and Nano Silver Fluoride (NSF) after 6 months exhibited significant enhancements in children's Oral Health-Related Quality of Life (OHRQoL). It was observed that NSF had a significantly superior impact on OHRQoL compared to SDF. This study’s results were published in the Journal of dentistry.

This study involved 360 children under the age of 4, each having at least one active lesion with an International Caries Detection and Assessment System (ICDAS) score of ≥3. They were randomly divided into two groups: one receiving NSF at the beginning, and the other receiving SDF at the start and after 6 months. The Oral Health-Related Quality of Life (OHRQoL) was assessed using the Arabic version of the Early Childhood Oral Health Impact Scale (A-ECOHIS). Additionally, group comparisons were made using the chi-square test, and the impact of the intervention on OHRQoL was analyzed through multiple linear regression.

In the bivariate analysis and regression analysis (B= -5.02) with confounder adjustments, it was observed that NSF exhibited significantly lower A-ECOHIS scores compared to SDF after a period of 6 months. Both groups showed significant decreases in the A-ECOHIS domain and total scores, except for the social interaction domain in the SDF group.

The above study demonstrated that after a 6-month period, both NSF and SDF led to a significant improvement in children's OHRQoL. However, NSF had a notably greater impact on OHRQoL compared to SDF.