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Clinical and imaging aspects associated with persistent apical periodontitis: subsides for the treatment decision-making process.
Clin Oral Investig
January 2025
Department of Restorative Dentistry, School of Dentistry of Ribeirão Preto, University of São Paulo (USP), Ribeirão Preto, SP, Brazil.
Objectives: To evaluate cases of persistent apical periodontitis (PAP) and what are the imaging and clinical aspects that could be considered in the PAP diagnosis and in their treatment decision-making process.
Methodology: 423 patients with apical periodontitis at the time of non-surgical root canal treatment (NSRCT) were followed-up for at least 1 year. Periapical radiographic images were used to compare and determine periapical status at each time using the PAI scoring system.
Utility of the radiological report function of an artificial intelligence system in interpreting CBCT images: a technical report.
Dentomaxillofac Radiol
January 2025
Division of Oral Radiology, Faculdade São Leopoldo Mandic.
Objectives: The aim of this technical report was to assess whether the "Radiological Report" tool within the Artificial Intelligence (AI) software Diagnocat can achieve a satisfactory level of performance comparable to that of experienced dentomaxillofacial radiologists in interpreting cone-beam CT scans.
Methods: Ten cone-beam CT scans were carefully selected and analyzed using the AI tool, and they were also evaluated by two dentomaxillofacial radiologists. Observations related to tooth numeration, alterations in dental crowns, roots, and periodontal tissues were documented and subsequently compared to the AI findings.
Automatic Vertical Root Fracture Detection on Intraoral Periapical Radiographs With Artificial Intelligence-Based Image Enhancement.
Dent Traumatol
January 2025
Department of Endodontology, Maurice and Gabriela Goldschleger School of Dental Medicine, Tel Aviv University, Tel Aviv, Israel.
Background/aim: To explore transfer learning (TL) techniques for enhancing vertical root fracture (VRF) diagnosis accuracy and to assess the impact of artificial intelligence (AI) on image enhancement for VRF detection on both extracted teeth images and intraoral images taken from patients.
Materials And Methods: A dataset of 378 intraoral periapical radiographs comprising 195 teeth with fractures and 183 teeth without fractures serving as controls was included. DenseNet, ConvNext, Inception121, and MobileNetV2 were employed with model fusion.
Efficacy of Canal Disinfectants Temoporfin, Carbon Nanoparticles, and Er: YAG Laser on Martens Hardness, Smear Layer Removal, and Bond Strength of Glass Fiber Posts to Canal Dentin.
Photodiagnosis Photodyn Ther
January 2025
Department of Prosthetic Dental Sciences, College of Dentistry. King Saud University. Riyadh, Saudi Arabia PO Box-60169. Electronic address:
Aim: To investigate the effectiveness of unconventional post space disinfection techniques, specifically Er:YAG laser, Temoporfin, and Carbon Nanoparticles (CNPs), in improving Martens hardness (MH), eliminating the smear layer (SL), and enhancing the push-out bond strength (PBS) of glass fiber posts in canal dentin.
Methods: An in vitro study was conducted utilizing 80 single-rooted extracted human teeth, which were decoronated and subjected to standardized root canal preparation. The teeth were equally distributed into four experimental groups: Group 1 (NaOCl + EDTA), Group 2 (Er: YAG laser + EDTA), Group 3 (Temoporfin + EDTA), and Group 4 (CNPs + EDTA).
Validity of Quantitative Values of Quantitative Light-induced Fluorescent (QLF) Device for Pulp Diagnosis of teeth with Cracks.
J Dent
January 2025
Department of Conservative Dentistry, Dental and Life Science Institute, School of Dentistry, Pusan National University, Dental Research Institute, Yangsan, Republic of Korea. Electronic address:
Introduction: The Quantitative Light-Induced Fluorescence (QLF) device provides both the visual information of crack lines on tooth surfaces and quantitative values for fluorescence reactions. The aim of this study was to evaluate the correlation and assess the usefulness of QLF quantitative values in pulp diagnosis of teeth with cracks.
Methods: Pulp diagnosis was performed on 76 teeth with cracks according to the American Association of Endodontics's guidelines, and their QLF images were captured.
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