Gunther Arthur Streit, Quenton Wessels, Glynn Dale Buchanan
{"title":"Root and Canal Morphology of Maxillary Premolars in a Namibian Population: A Retrospective Cone-Beam Computed Tomography Study.","authors":"Gunther Arthur Streit, Quenton Wessels, Glynn Dale Buchanan","doi":"10.1111/aej.70088","DOIUrl":"https://doi.org/10.1111/aej.70088","url":null,"abstract":"<p><p>This study examined population-specific morphological variations in human premolar roots and canals and their clinical implications. Cone-beam computed tomography (CBCT) was used with the Ahmed classification system. A retrospective descriptive cross-sectional study analysed 388 maxillary premolars from CBCT scans of 97 participants obtained from participating private dental practices in Swakopmund and Windhoek and from the University of Namibia dental clinic. The root number and canal configuration were classified by the Ahmed system. Associations were assessed by comparing identical tooth types in the right and left maxilla. First premolars were mostly two-rooted (56.2%), and second premolars were mostly single-rooted (88.1%), with key configurations of <sup>1</sup>MP<sup>1</sup>, <sup>1</sup>MP<sup>1-2</sup> and <sup>2</sup>MP B<sup>1</sup>P<sup>1</sup>. Age-related changes showed increased <sup>2</sup>MP B<sup>1</sup>P<sup>1</sup> in first premolars and <sup>1</sup>MP<sup>1-2-1</sup> in second premolars. The dominant configurations in this Namibian sample align with other populations, emphasising the importance of population-specific data for endodontic treatment and supporting the relevance of the Ahmed classification.</p>","PeriodicalId":55581,"journal":{"name":"Australian Endodontic Journal","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147846840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eric Chen, Justin Jun-Young Eun, Alan Chen, Sepanta Hosseinpour, Hossein Mohammad-Rahimi, Ove Andreas Peters, Philip Yuan-Ho Chien
{"title":"Artificial Intelligence in Endodontics-A Bibliometric Analysis.","authors":"Eric Chen, Justin Jun-Young Eun, Alan Chen, Sepanta Hosseinpour, Hossein Mohammad-Rahimi, Ove Andreas Peters, Philip Yuan-Ho Chien","doi":"10.1111/aej.70080","DOIUrl":"https://doi.org/10.1111/aej.70080","url":null,"abstract":"<p><p>This study aims to map and evaluate research trends in artificial intelligence applied to endodontics using bibliometric methods. A comprehensive literature search was conducted in PubMed, EMBASE, and Scopus in April 2025 to identify studies addressing artificial intelligence in endodontic diagnosis, treatment, and education. Titles, abstracts, and full texts were screened according to predefined criteria. Bibliometric indicators including publication output, authorship networks, institutional and country contributions, citation patterns, and keyword co-occurrence were analysed using bibliometric software. 220 studies were included. Research output increased markedly over time, with major contributions from China, the United States, Turkey and India. Collaboration was largely geographically clustered, with limited international integration. Recent publications showed a strong focus on deep learning approaches for diagnostic imaging, particularly cone-beam computed tomography and image segmentation. Artificial intelligence research in endodontics is expanding rapidly, but broader collaboration and diversification beyond radiographic applications are needed to support clinical translation.</p>","PeriodicalId":55581,"journal":{"name":"Australian Endodontic Journal","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147790236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quality and Accuracy Assessment of YouTube Videos on Vital Pulp Therapy.","authors":"Divya Nangia, Vasudev Ballal, Prashant Bhasin, Esha Sukhala, Ashima Garg, Meenu G Singla, Hemanshi Kumar","doi":"10.1111/aej.70085","DOIUrl":"https://doi.org/10.1111/aej.70085","url":null,"abstract":"<p><p>The aim was to assess the quality and accuracy of Vital Pulp Therapy videos on YouTube. First, sixty videos were surfed using five (pulp capping, pulpotomy, vital pulp therapy, and two layman terms) keywords. Quality was assessed using the following validated indices: Modified DISCERN, Global Quality Score (GQS), and Video Information and Quality index (VIQI). Accuracy was evaluated using scoring criteria based on European Society of Endodontology (ESE) and American Association of Endodontists (AAE) position statements. The correlation between the derived metrics was established using Spearman's rank order. The average quality scores were 3.03 (modified DISCERN), 3.1 (GQS), and 11.08 (VIQI). As per the ESE statement, the average accuracy was 44.64%, 25.87%, and 32.8%, respectively, for 'pulpotomy', 'pulp capping', and 'vital pulp therapy' videos. Mean accuracy as per the AAE statement was 24.63%. A positive correlation of accuracy was established with all the metrics derived. The overall quality and accuracy were subpar.</p>","PeriodicalId":55581,"journal":{"name":"Australian Endodontic Journal","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147724920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Early Non-Invasive Detection of Arterial Stiffness Related to Endothelial Dysfunction in Apical Periodontitis Patients: A Systematic Review and Meta-Analysis.","authors":"Nishant Chauhan, Shweta Mittal, Sanjay Tewari","doi":"10.1111/aej.70084","DOIUrl":"https://doi.org/10.1111/aej.70084","url":null,"abstract":"<p><p>This systematic review and meta-analysis evaluated the association between apical periodontitis (AP) and non-invasive markers of arterial stiffness, including carotid intima-media thickness (c-IMT), endothelial flow reserve (EFR), flow mediated dilatation (FMD), carotid plaques and aortic atherosclerotic burden (AAB) in systemically healthy individuals. PubMed/MEDLINE, Cochrane, Scopus and EMBASE were searched. Quality assessment was done using the Newcastle-Ottawa Scale. Six studies were selected, with two at low and four at moderate risk of bias. Five studies (two c-IMT; three EFR) underwent meta-analysis. Pooled analysis demonstrated that AP was significantly associated with increased c-IMT (mean difference: 0.16 mm; 95% CI: 0.02-0.30; p = 0.01) and reduced EFR (mean difference: -0.30; 95% CI: -0.43 to -0.16; p < 0.0001). Heterogeneity was high for c-IMT (I<sup>2</sup> = 84%), and absent for EFR (I<sup>2</sup> = 0%). Evidence quality was 'low' for c-IMT and 'moderate' for EFR (GRADEpro). AP is associated with increased arterial stiffness. Trial Registration: PROSPERO: CRD420251047888.</p>","PeriodicalId":55581,"journal":{"name":"Australian Endodontic Journal","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147724956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Performance of Large Language Models on Antibiotic Prophylaxis for Endodontic Treatments.","authors":"Selin Goker Kamali, Yaren Tuana Imamoglu","doi":"10.1111/aej.70086","DOIUrl":"https://doi.org/10.1111/aej.70086","url":null,"abstract":"<p><p>This study compared the accuracy and repeatability of responses generated by three advanced language models (ChatGPT-4, Gemini, and DeepSeek) in determining the necessity and appropriate regimen of antibiotic prophylaxis in endodontic treatment. 15 questions on the basis of guidance published by the European Society of Endodontics in 2018 were developed and presented to each model by three different users, three times per day over 10 consecutive days. Accuracy was evaluated for individual questions and overall performance, and repeatability across days and times was statistically analysed. All models consistently provided correct responses for patients with penicillin allergy and those with a history of infective endocarditis. Significant differences were observed in responses regarding joint prosthesis, high-dose radiation to the jaws, bypass surgery history, and controlled diabetes, although overall accuracy did not differ significantly among models. These findings highlight the potential clinical value of the models, but their responses must be verified before clinical use.</p>","PeriodicalId":55581,"journal":{"name":"Australian Endodontic Journal","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147724882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael Solomonov, Gustavo De-Deus, Rebecca R G Frota, Emmanuel J N L Silva, Felipe G Belladonna, Joe Ben-Itzhak, Dan Henry Levy, Marco A Versiani
{"title":"Adjunctive SAF Infinitum With Continuous NaOCl/HEDP Chelation Reduces Hard-Tissue Debris in Flattened Canals After Single-File Preparation: A Micro-CT Study.","authors":"Michael Solomonov, Gustavo De-Deus, Rebecca R G Frota, Emmanuel J N L Silva, Felipe G Belladonna, Joe Ben-Itzhak, Dan Henry Levy, Marco A Versiani","doi":"10.1111/aej.70082","DOIUrl":"10.1111/aej.70082","url":null,"abstract":"<p><p>The effectiveness of an adjunctive SAF Infinitum procedure performed under continuous chelation was evaluated for reducing hard-tissue debris (HTD) after single-file root canal preparation. Thirty mandibular incisors with flattened canals were pair-matched and prepared using Reciproc Blue R25 or XP-endo Rise Shaper under irrigation with 2.5% sodium hypochlorite combined with etidronic acid. Micro-computed tomography scans were obtained at baseline, after preparation and after supplementary SAF instrumentation for 2 min under continuous NaOCl/HEDP delivery. Canal volume, surface area, HTD volume and percentage reduction were quantified. Baseline morphology and post-preparation HTD did not differ between groups. The adjunctive SAF procedure significantly reduced HTD in both groups. Final residual HTD volumes after SAF use were comparable between preparation protocols, although the percentage reduction was greater after Reciproc Blue preparation. Adjunctive SAF Infinitum with continuous chelation enhanced debris removal in flattened canals irrespective of the initial shaping system.</p>","PeriodicalId":55581,"journal":{"name":"Australian Endodontic Journal","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147678928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of the Prevalence and Morphology of Middle Mesial Canals in Bifid-Apex Mandibular Molars Using Micro-CT.","authors":"Pembe Büşra Kaygısız, Cangül Keskin, Ali Keleş","doi":"10.1111/aej.70083","DOIUrl":"10.1111/aej.70083","url":null,"abstract":"<p><p>This micro-CT study analysed 90 mandibular mesial roots with and without a bifid apex. Number of orifices and main apical foramina, main canal counts at coronal/middle/apical thirds, middle mesial canal (MMC) presence, and MB-ML inter-orifice distance in two-orifice roots were measured. The prevalence of MMCs was significantly higher in bifid roots (35.5%) compared to non-bifid roots (11.4%) (p < 0.05). Bifid roots exhibited a significantly higher mean number of apical foramina (2.24 ± 0.43) than non-bifid roots (1.33 ± 0.52) (p < 0.05). In roots with two orifices, the MB-ML inter-orifice distance was significantly wider in the bifid group (2.57 ± 0.56 mm) compared to the non-bifid group (2.28 ± 0.50 mm) (p < 0.05). Canal configurations also differed significantly; bifid roots were predominantly Vertucci Type V (31.1%) and Type IV (26.7%), while non-bifid roots frequently presented with Type I (33.3%) and Type III (26.7%).</p>","PeriodicalId":55581,"journal":{"name":"Australian Endodontic Journal","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147678906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial Intelligence for Working Length Determination in Endodontics: A Systematic Review and Meta-Analysis.","authors":"Rajinder Kumar Bansal, Saurabh Gupta, Saru Dhir Gupta, Sangam Mittal, Gagandeep Kaur, Manish Sharma, Seema Gupta","doi":"10.1111/aej.70081","DOIUrl":"https://doi.org/10.1111/aej.70081","url":null,"abstract":"<p><p>This systematic review and meta-analysis evaluated the comparative performance of artificial intelligence (AI) models versus comparators for working-length determination using radiographic or impedance-based inputs. A comprehensive search across seven electronic databases was conducted up to 1 October 2025, identifying five eligible in vitro and ex vivo studies encompassing over 1765 teeth or radiographic images. All the included studies directly compared AI-based approaches with manual or conventional reference standards. An exploratory random-effects meta-analysis demonstrated higher odds of correct working length determination using AI-based methods compared to expert assessment. The risk of bias was moderate to high, primarily because of internal validation and the predominance of laboratory-based study designs. The overall certainty of evidence for the primary outcome was rated low. This first quantitative synthesis suggests that AI-based methods may enhance the consistency of working-length determination under controlled conditions; however, further well-designed clinical studies are required before routine clinical implementation.</p>","PeriodicalId":55581,"journal":{"name":"Australian Endodontic Journal","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147678901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Relationship Between Severity of Apical Periodontitis and Next-Generation Systemic Inflammatory Biomarkers.","authors":"Gözde Akbal Dincer, Rezan Sungur Güzel","doi":"10.1111/aej.70078","DOIUrl":"https://doi.org/10.1111/aej.70078","url":null,"abstract":"<p><p>Apical periodontitis (AP) is an endodontic infection that may persist asymptomatically and be reflected in systemic inflammatory status. This study aimed to evaluate the association between radiographic severity of AP and next-generation systemic inflammatory biomarkers in systemically healthy adults. Archived clinical, radiographic and haematological data of 206 adult patients treated under general anaesthesia between 2021 and 2024 were retrospectively analysed. Patients were grouped according to Periapical Index (PAI) scores. Systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and platelet inflammatory value (PIV) were calculated from routine blood counts. Severe AP (PAI scores 4-5) was associated with significantly higher SII, NLR, and PIV values (p < 0.05). The number of teeth with PAI score 5 correlated positively with SII, NLR and PIV, whereas PLR showed no significant association. Greater severity of AP was associated with elevated systemic inflammatory indices. PIV may provide adjunctive information on systemic inflammatory response in patients with severe AP.</p>","PeriodicalId":55581,"journal":{"name":"Australian Endodontic Journal","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147647725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aashna Dinesh, M S Prathap, Pradeep Kumar, Jeslee Ann Jose, Samreena Kalander, Satwik Varadraj
{"title":"Synthesis, Characterisation and Antibacterial Activity of Reduced Graphene Oxide-Cuprous Oxide Nanocomposite Against Dual Species Biofilms Using Clsm.","authors":"Aashna Dinesh, M S Prathap, Pradeep Kumar, Jeslee Ann Jose, Samreena Kalander, Satwik Varadraj","doi":"10.1111/aej.70073","DOIUrl":"https://doi.org/10.1111/aej.70073","url":null,"abstract":"<p><p>Root canal irrigants are essential for biofilm elimination, with sodium hypochlorite (NaOCl) as the current gold standard, though limited by cytotoxicity and poor dentine penetration. This study assessed the antibacterial efficacy of a reduced graphene oxide-cuprous oxide (rGO-Cu<sub>2</sub>O) nanocomposite against Enterococcus faecalis and Streptococcus mutans biofilms. Thirty decoronated premolars were prepared with Protaper Next X5, and biofilms were cultured for 21 days. The rGO-Cu<sub>2</sub>O nanocomposite, synthesised using an 808 nm laser-assisted method and characterised by FE-SEM, XRD and XPS, was compared with 2.5% NaOCl and saline. Antibacterial activity was evaluated through CFU counts and confocal laser scanning microscopy. rGO-Cu<sub>2</sub>O showed significantly greater bacterial reduction than saline, with superior efficacy to NaOCl against E. faecalis and comparable effects against S. mutans. CLSM confirmed disruption of mature biofilms, indicating its promise as a novel endodontic irrigant.</p>","PeriodicalId":55581,"journal":{"name":"Australian Endodontic Journal","volume":" ","pages":""},"PeriodicalIF":1.5,"publicationDate":"2026-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147635468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}