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Full-Text Articles in Oral and Maxillofacial Radiology

Dens Invaginatus Prevalence In Maxillary Lateral Incisors In Egyptian Population: Cone Beam Computed Tomography 3-Dimensional Analysis, Marwa Ezz, Sherif Heidar, Mahinaz Reda Abdelhamed Apr 2026

Dens Invaginatus Prevalence In Maxillary Lateral Incisors In Egyptian Population: Cone Beam Computed Tomography 3-Dimensional Analysis, Marwa Ezz, Sherif Heidar, Mahinaz Reda Abdelhamed

Dentistry

Introduction: Dens invaginatus also called dens in dente is frequent developmental anomaly, most commonly affect maxillary lateral incisors. It can create an inflammatory and microbial pathway that may compromise pulp vitality. Once detected, intervention must be planned. Aim of the study : This study investigated Dens invaginatus prevalence in maxillary lateral incisors in Egyptian population and its categorization according to Oehlers classification using CBCT. Materials and Methods This study assessed 296 cone beam computed tomography scans including a total number of 592 maxillary lateral incisor. Two experienced examiners: an oral and maxillofacial radiologist and an endodontist, inspected Dens invaginatus in …


Artificial Intelligence Versus Human Dental Expertise In Diagnosing Periapical Pathosis On Periapical Radiographs: A Multicenter Study, Fatma E.A Hassanen, Radwa R. Hussein, Mohamed Riad Elgarhy, Shaymaa Mohamed Maher, Marwa Ezz, Ahmed Hassen, Sherif Heidar, Amr Edress, Asmaa Abou-Bakr Feb 2026

Artificial Intelligence Versus Human Dental Expertise In Diagnosing Periapical Pathosis On Periapical Radiographs: A Multicenter Study, Fatma E.A Hassanen, Radwa R. Hussein, Mohamed Riad Elgarhy, Shaymaa Mohamed Maher, Marwa Ezz, Ahmed Hassen, Sherif Heidar, Amr Edress, Asmaa Abou-Bakr

Dentistry

Periapical pathosis in periapical radiographs must be properly diagnosed for the success of endodontic treatment but is often muddled by 2D imaging limitations and subjective interpretation. Artificial intelligence (AI) offers a solution, but whether the diagnostic granularity of AI versus human clinicians in everyday clinical practice has been adequately explored remains to be addressed. The purpose of this study was to evaluate the diagnostic accuracy of ChatGPT-5 in detecting periapical radiographic abnormalities compared with the three-expert consensus reference standard. Methods: In this diagnostic accuracy retrospective study, 270 periapical radiographs were independently read by a large language model (ChatGPT-5) and a …


Ruptured Silicone Cheek Implant Mimicking Odontogenic Infection: A Diagnostic Pitfall, Kimiko Ohgi, Tomoko Shiraishi, Toyohiro Kagawa, Yasunori Yoshinaga Jan 2026

Ruptured Silicone Cheek Implant Mimicking Odontogenic Infection: A Diagnostic Pitfall, Kimiko Ohgi, Tomoko Shiraishi, Toyohiro Kagawa, Yasunori Yoshinaga

Journal of Dental Sciences

No abstract provided.


Centering And Shaping Abilities Of Three Different Cross-Section Rotary Systems In Curved Canals Using Cbct, Sherif Shafik Jul 2025

Centering And Shaping Abilities Of Three Different Cross-Section Rotary Systems In Curved Canals Using Cbct, Sherif Shafik

Dentistry

ABSTRACT The aim of the study was to examine the centering and shaping abilities of the E3 Azure, T Blue and XPRS rotary devices in severely curved root canals utilizing CBCT. 51 mesial roots were used in this study, then distributed into three groups of 17 mesial canals each according to the instrumentation technique: T-Blue, E3 Azure and XPS. The final apical size of instrumentation was 30/0.04 for all groups. At 2 mm, all pairwise comparisons were statistically significant, with Azure showing the highest transportation, followed by T-Blue, and XPS showing the least (p< 0.001). At 4 mm and 6 mm, Azure and T-Blue showed significantly higher transportation than XPS (p< 0.001). For XP-Shaper files, centering ratios followed a descending order from 6 mm to 4 mm and were lowest at 2 mm, with all pairwise comparisons being statistically significant (p< 0.001). it was concluded that XPS show lesser transportation and better centering ability.