Objective(s): Photobiomodulation, also commonly referred to as low level laser therapy (LLLT), uses light energy to elicit biological responses from the cell and normalise cell function. Using LLLT on bone has been demonstrated to be effective in modulating inflammation, accelerating bone cell proliferation and enhancing the healing process. The objectives of this study were to evaluate postoperative pain and periapical healing in two different groups.
Materials And Methods: 40 subjects with periapical lesion were selected and were assigned randomly into two groups. Group I: Conventional root canal therapy along with LLLT. Group II: Conventional root canal therapy only. Radiographs were obtained and assessed at baseline, 3, 6 and 9 months postoperatively. The VAS pain scale was assessed post operatively at 0, 7 and 14 day respectively. The Independent t-test was used for evaluation of the data.
Results: Significant differences were noted in reduction of periapicallesion at 3 and 9 months follow-up. The healing was better in Group I that received LLLT with the conventional Root Canal Treatment (RCT). Values for postoperative pain was lower in Group I than Group II, but were statistically non-significant.
Conclusion(s): LLLT when used as an adjunct with conventional root canal treatment showed acceleration of the healing process of periapical lesions. LLLT has a positive effect on modulating the immune response for favourable healing.
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http://dx.doi.org/10.4103/ijdr.IJDR_896_20 | DOI Listing |
Sci Rep
January 2025
Faculty of Civil Engineering, Damascus University, Damascus, Syria.
Concrete compressive strength is a critical parameter in construction and structural engineering. Destructive experimental methods that offer a reliable approach to obtaining this property involve time-consuming procedures. Recent advancements in artificial neural networks (ANNs) have shown promise in simplifying this task by estimating it with high accuracy.
View Article and Find Full Text PDFPhys Med Biol
January 2025
Graduate School of Medicine, Osaka University, 2-2 Yamada-oka, Suita, Osaka, 565-0871, JAPAN.
Accurate dose predictions are crucial to maximizing the benefits of carbon-ion therapy. Carbon beams incident on the human body cause nuclear interactions with tissues, resulting in changes in the constituent nuclides and leading to dose errors that are conventionally corrected using conventional single-energy computed tomography (SECT). Dual-energy computed tomography (DECT) has frequently been used for stopping power estimation in particle therapy and is well suited for correcting nuclear reactions because of its detailed body-tissue elemental information.
View Article and Find Full Text PDFClin Exp Nephrol
January 2025
Kawasaki Medical School, Department of Nephrology and Hypertension, Kurashiki, Japan.
Background: Chronic kidney disease (CKD) represents a significant public health challenge, with rates consistently on the rise. Enhancing kidney function prediction could contribute to the early detection, prevention, and management of CKD in clinical practice. We aimed to investigate whether deep learning techniques, especially those suitable for processing missing values, can improve the accuracy of predicting future renal function compared to traditional statistical method, using the Japan Chronic Kidney Disease Database (J-CKD-DB), a nationwide multicenter CKD registry.
View Article and Find Full Text PDFJ Med Syst
January 2025
Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Optimizing operating room (OR) utilization is critical for enhancing hospital management and operational efficiency. Accurate surgical case duration predictions are essential for achieving this optimization. Our study aimed to refine the accuracy of these predictions beyond traditional estimation methods by developing Random Forest models tailored to specific surgical departments.
View Article and Find Full Text PDFInt Microbiol
January 2025
Phytopathology Unit, Department of Plant Protection, Ecole Nationale d'Agriculture de Meknès, Km 10, Rte Haj Kaddour, BP S/40, 50001, Meknes, Morocco.
Olive trees are susceptible to various diseases, notably root rot caused by Pythium spp., which presents significant challenges to cultivation. Conventional chemical control methods have limitations, necessitating exploration of eco-friendly alternatives like biological control strategies.
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