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Background: Periapical lesions, often arising from polymicrobial infections, exhibit varied clinical manifestations. The role of herpes viruses, particularly Epstein-Barr virus (EBV), in the etiopathogenesis of these conditions remains underexplored despite evidence that suggests its involvement in inflammatory processes.
Objective: This systematic review and meta-analysis aimed to evaluate the presence of EBV in periapical diseases and to assess its probable role in their etiopathogenesis.
Material And Methods: Literature searches were conducted across PubMed, Scopus, Web of Science, and Google Scholar until July 2024. Original research that examined the association of EBV in periapical diseases was included for review. The risk of bias for each study was assessed using the modified Newcastle-Ottawa scale and Review Manager 5.4 was used to generate the results.
Results: A total of 31 studies were included for qualitative synthesis, with 15 contributing to quantitative analysis. Findings revealed higher EBV detection rates in periapical lesions, particularly in symptomatic cases and lesions with larger sizes. Meta-analysis using random effects models also affirmed that EBV-positive transcripts significantly enhanced the risk of periapical lesions and symptomatic cases.
Conclusion: This review highlights a significant association between EBV and periapical lesions, particularly in symptomatic cases and larger lesions. The findings warrant further investigation into the mechanisms by which EBV contributes to the pathogenesis of periapical diseases and the implications for clinical management, including potential antiviral therapies.
Prospero Registration Number: CRD4202344796.
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http://dx.doi.org/10.1016/j.joen.2025.05.002 | DOI Listing |
J Endod
September 2025
University of Texas Health at San Antonio, Department of Endodontics; San Antonio, Texas, USA. Electronic address:
Introduction: Although several elegant studies have reported apical periodontitis prevalence in different populations, far less is known about its associated bone loss and its correlation to sex and age. Thus, this study investigated the impact of sex and age differences on the severity of apical periodontitis (AP) using cone-beam computed tomography (CBCT) and a volumetric periapical index (CBCT-PAI).
Material And Methods: CBCT scans of 401 patients (1,027 teeth) were analyzed by calibrated examiners in CBCTPAI.
Zhonghua Kou Qiang Yi Xue Za Zhi
September 2025
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China.
Cureus
July 2025
Department of Orthodontics, Kothiwal Dental College and Research Centre, Moradabad, IND.
Introduction: The present study evaluated the clinical and patient-centered outcomes of nonsurgical retreatment of endodontically treated teeth. The primary goal was to assess the success rate, defined by clinical and radiographic criteria, while the secondary objectives focused on patient-reported quality-of-life outcomes using a validated oral health-related quality-of-life (OHRQoL) questionnaire.
Materials And Methods: This prospective cohort study was conducted from January 2024 to April 2025 at the Department of Conservative Dentistry and Endodontics and included 100 systemically healthy adults (aged 18-60 years) requiring retreatment of endodontically treated teeth.
Diagnostics (Basel)
August 2025
Computer Engineering Department, Engineering and Architecture Faculty, Eskisehir Osmangazi University, Eskisehir 26040, Türkiye.
: Clinicians routinely rely on periapical radiographs to identify root-end disease, but interpretation errors and inconsistent readings compromise diagnostic accuracy. We, therefore, developed an explainable, multimodal AI framework that (i) fuses two data modalities, deep CNN embeddings and radiomic texture descriptors that are extracted only from lesion-relevant pixels selected by Grad-CAM, and (ii) makes every prediction transparent through dual-layer explainability (pixel-level Grad-CAM heatmaps + feature-level SHAP values). : A dataset of 2285 periapical radiographs was processed using six CNN architectures (EfficientNet-B1/B4/V2M/V2S, ResNet-50, Xception).
View Article and Find Full Text PDFDent Med Probl
August 2025
Department of Pediatric Dentistry, Tekirdağ Namık Kemal University, Turkey.
Background: Artificial intelligence (AI) systems have the potential to revolutionize the fields of medicine and dentistry by identifying solutions for managing multiple clinical problems. This greatly facilitates the tasks of physicians. Bibliometric studies not only provide insight into the history of a particular topic, but also help to determine how the work evolves over time, and to identify interesting new research.
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