Pub Date : 2026-02-07DOI: 10.1016/j.oooo.2026.01.020
Pablo A Vargas, Alan R Santos-Silva, Mark W Lingen, Willie van Heerden, Ricardo S Gomez, Edward W Odell, Paul M Speight, Takashi Takata, Wanninayake M Tilakaratne, Michael J Aldred, John Wright, Alison M Rich
{"title":"Golden Jubilee of the International Association of Oral and Maxillofacial Pathologists (IAOP).","authors":"Pablo A Vargas, Alan R Santos-Silva, Mark W Lingen, Willie van Heerden, Ricardo S Gomez, Edward W Odell, Paul M Speight, Takashi Takata, Wanninayake M Tilakaratne, Michael J Aldred, John Wright, Alison M Rich","doi":"10.1016/j.oooo.2026.01.020","DOIUrl":"https://doi.org/10.1016/j.oooo.2026.01.020","url":null,"abstract":"","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147476032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-05DOI: 10.1016/j.oooo.2026.01.019
Sarah de Araujo Mendes Cardoso, Caique Mariano Pedroso, Mário Fernando de Goes, Vinicius Toloti Moschini da Silva, Ana Carolina Prado-Ribeiro, Alan Roger Santos-Silva
Objective: to identify the treatment planning systems (TPS) used in radiotherapy for head and neck cancer patients and evaluate their impact in reducing toxicities to teeth, salivary glands, and nontarget tissues.
Methods: A comprehensive search was conducted in 6 databases and gray literature sources. Eligible studies involved patients with head and neck cancer undergoing radiotherapy and evaluated dosimetric strategies or planning software to protect critical structures. TPS impact was categorized as low, moderate, or high based on dose reduction and clinical benefit reported in each study.
Results: A total of 26 studies were included, covering 8 different TPS. Of these, 23 studies assessed dose reduction to the salivary glands or nontarget tissues and 3 studies focused on dental structures. Overall, 51% of TPS assessments (n = 19) reported a high impact on dose reduction, 35% showed a moderate impact, and 14% demonstrated a low impact in minimizing radiation exposure to critical structures. Eclipse was the most frequently assessed TPS, showing predominantly high or moderate impact across all structure types. These findings indicate a predominance of evidence supporting Eclipse's dosimetric performance, whereas variability among other systems (Pinnacle, Monaco, KonRad, XiO, and CORVUS) suggests differences in optimization algorithms and clinical implementation.
Conclusion: TPS show heterogeneous results regarding the sparing of nontarget tissues. Eclipse demonstrated the most consistent positive outcomes, but dental structures remain underexplored concerning TPS approaches.
{"title":"Treatment planning software to protect dental structure, salivary glands, and nontarget tissue in head and neck cancer patients: a scoping review.","authors":"Sarah de Araujo Mendes Cardoso, Caique Mariano Pedroso, Mário Fernando de Goes, Vinicius Toloti Moschini da Silva, Ana Carolina Prado-Ribeiro, Alan Roger Santos-Silva","doi":"10.1016/j.oooo.2026.01.019","DOIUrl":"https://doi.org/10.1016/j.oooo.2026.01.019","url":null,"abstract":"<p><strong>Objective: </strong>to identify the treatment planning systems (TPS) used in radiotherapy for head and neck cancer patients and evaluate their impact in reducing toxicities to teeth, salivary glands, and nontarget tissues.</p><p><strong>Methods: </strong>A comprehensive search was conducted in 6 databases and gray literature sources. Eligible studies involved patients with head and neck cancer undergoing radiotherapy and evaluated dosimetric strategies or planning software to protect critical structures. TPS impact was categorized as low, moderate, or high based on dose reduction and clinical benefit reported in each study.</p><p><strong>Results: </strong>A total of 26 studies were included, covering 8 different TPS. Of these, 23 studies assessed dose reduction to the salivary glands or nontarget tissues and 3 studies focused on dental structures. Overall, 51% of TPS assessments (n = 19) reported a high impact on dose reduction, 35% showed a moderate impact, and 14% demonstrated a low impact in minimizing radiation exposure to critical structures. Eclipse was the most frequently assessed TPS, showing predominantly high or moderate impact across all structure types. These findings indicate a predominance of evidence supporting Eclipse's dosimetric performance, whereas variability among other systems (Pinnacle, Monaco, KonRad, XiO, and CORVUS) suggests differences in optimization algorithms and clinical implementation.</p><p><strong>Conclusion: </strong>TPS show heterogeneous results regarding the sparing of nontarget tissues. Eclipse demonstrated the most consistent positive outcomes, but dental structures remain underexplored concerning TPS approaches.</p>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147318647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-03DOI: 10.1016/j.oooo.2026.01.018
Reuber Mendes Rocha, Felipe Mesquita Araújo, Felipe Assis Mercadante, Alana Castilho de Souza, Túlio Eduardo Nogueira, Daniela de Melo E Silva, Fernanda Paula Yamamoto-Silva, Brunno Santos Freitas Silva
Objectives: To evaluate the effects of electronic smoking devices (e-cigarettes) on the genotoxicity of oral mucosal cells compared with conventional cigarette smokers and nonsmokers, and to critically assess the methodological frameworks generating this evidence.
Study design: Searches were conducted up to July 2025 in PubMed, EMBASE, Scopus, Web of Science, CINAHL, Cochrane Library, LILACS, and grey literature. Eligible studies were observational designs assessing genotoxic damage in oral mucosal cells of adult e-cigarette users through the buccal micronucleus cytome assay (BMNcyt). Data extraction and risk of bias assessment (JBI checklists) were performed independently by two reviewers. Meta-analyses used random-effects models.
Results: Nine cross-sectional studies (n = 711) were included. Meta-analysis showed that e-cigarette users had significantly lower micronucleus (MN) frequency than smokers (mean difference: 2.75; 95% CI: 0.02-5.47; P = .048), but no significant difference compared with nonsmokers. Subgroup analysis indicated higher MN frequencies in e-cigarette users versus nonsmokers when ≥1,000 cells were analyzed per sample. Risk of bias ranged from low to high, and the certainty of the pooled evidence was rated as "very low."
Conclusions: E-cigarettes induce less genotoxicity than conventional smoking but may increase DNA damage compared with nonsmokers under standardized BMNcyt protocols. Stronger prospective studies with methodological rigor are needed.
目的:与传统吸烟者和非吸烟者相比,评估电子烟设备(电子烟)对口腔粘膜细胞遗传毒性的影响,并批判性地评估产生该证据的方法框架。研究设计:检索截止到2025年7月的PubMed、EMBASE、Scopus、Web of Science、CINAHL、Cochrane Library、LILACS和灰色文献。符合条件的研究是观察性设计,通过口腔微核细胞组测定(BMNcyt)评估成人电子烟使用者口腔粘膜细胞的遗传毒性损伤。数据提取和偏倚风险评估(JBI检查表)由两名审稿人独立完成。荟萃分析使用随机效应模型。结果:纳入9项横断面研究(n = 711)。meta分析显示,电子烟使用者的微核(MN)频率显著低于吸烟者(平均差值:2.75;95% CI: 0.02-5.47; P = 0.048),但与非吸烟者相比无显著差异。亚组分析表明,当每个样本分析≥1000个细胞时,电子烟使用者的MN频率高于非吸烟者。偏倚风险从低到高不等,合并证据的确定性被评为“非常低”。结论:与传统吸烟相比,电子烟的遗传毒性较小,但与非吸烟者相比,在标准化BMNcyt协议下,电子烟可能会增加DNA损伤。需要更强有力的前瞻性研究和严谨的方法。
{"title":"Genotoxicity in oral mucosal cells associated with e-cigarette use: a systematic review and meta-analysis.","authors":"Reuber Mendes Rocha, Felipe Mesquita Araújo, Felipe Assis Mercadante, Alana Castilho de Souza, Túlio Eduardo Nogueira, Daniela de Melo E Silva, Fernanda Paula Yamamoto-Silva, Brunno Santos Freitas Silva","doi":"10.1016/j.oooo.2026.01.018","DOIUrl":"https://doi.org/10.1016/j.oooo.2026.01.018","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the effects of electronic smoking devices (e-cigarettes) on the genotoxicity of oral mucosal cells compared with conventional cigarette smokers and nonsmokers, and to critically assess the methodological frameworks generating this evidence.</p><p><strong>Study design: </strong>Searches were conducted up to July 2025 in PubMed, EMBASE, Scopus, Web of Science, CINAHL, Cochrane Library, LILACS, and grey literature. Eligible studies were observational designs assessing genotoxic damage in oral mucosal cells of adult e-cigarette users through the buccal micronucleus cytome assay (BMNcyt). Data extraction and risk of bias assessment (JBI checklists) were performed independently by two reviewers. Meta-analyses used random-effects models.</p><p><strong>Results: </strong>Nine cross-sectional studies (n = 711) were included. Meta-analysis showed that e-cigarette users had significantly lower micronucleus (MN) frequency than smokers (mean difference: 2.75; 95% CI: 0.02-5.47; P = .048), but no significant difference compared with nonsmokers. Subgroup analysis indicated higher MN frequencies in e-cigarette users versus nonsmokers when ≥1,000 cells were analyzed per sample. Risk of bias ranged from low to high, and the certainty of the pooled evidence was rated as \"very low.\"</p><p><strong>Conclusions: </strong>E-cigarettes induce less genotoxicity than conventional smoking but may increase DNA damage compared with nonsmokers under standardized BMNcyt protocols. Stronger prospective studies with methodological rigor are needed.</p>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147311628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.oooo.2026.01.014
Winey Wan, Richard Widmer, Peter J Shaw, Ida Twist, Neeta Prabhu
Objectives: Dental defects were evaluated in high-risk neuroblastoma survivors (HRNBLs) who underwent myeloablative conditioning with 1 of 2 high-dose chemotherapy (HDC) regimens prior to autologous peripheral blood stem cell transplantation (PBSCT), without exposure to total body irradiation. The regimens compared were busulfan/melphalan (BuMel) and carboplatin/etoposide/melphalan (CEM).
Study design: Clinical records from 2019-2022 of HRNBL survivors at the Children's Hospital at Westmead were reviewed. Dental defects were assessed using orthopantomograms and quantified using Holtta's defect index (HDI).
Results: Thirteen BuMLP and thirteen CEM patients were included. Mean age at HDC was 3.0 ± 1.1 years and mean age at assessment was 11.3 ± 3.2 years. The study population presented with a mean HDI of 45.6 (±18.8). BuMLP presented with a mean HDI of 51.9 (±18.8) compared to CEM with a mean HDI of 39.4 (±17.3), although this was not statistically significant. All subjects demonstrated altered root development (P = .04), while 65.4% (n = 17) presented with microdontia and 69.2% (n = 18) exhibited dental agenesis.
Conclusion: HRNBLs show a high prevalence of dental defects after HDC. Impacts of BuMLP versus CEM require further investigation.
{"title":"Comparison of late dental sequelae in survivors of high-risk neuroblastoma treated with myeloablative high-dose chemotherapy and peripheral blood stem cell transplantation.","authors":"Winey Wan, Richard Widmer, Peter J Shaw, Ida Twist, Neeta Prabhu","doi":"10.1016/j.oooo.2026.01.014","DOIUrl":"https://doi.org/10.1016/j.oooo.2026.01.014","url":null,"abstract":"<p><strong>Objectives: </strong>Dental defects were evaluated in high-risk neuroblastoma survivors (HRNBLs) who underwent myeloablative conditioning with 1 of 2 high-dose chemotherapy (HDC) regimens prior to autologous peripheral blood stem cell transplantation (PBSCT), without exposure to total body irradiation. The regimens compared were busulfan/melphalan (BuMel) and carboplatin/etoposide/melphalan (CEM).</p><p><strong>Study design: </strong>Clinical records from 2019-2022 of HRNBL survivors at the Children's Hospital at Westmead were reviewed. Dental defects were assessed using orthopantomograms and quantified using Holtta's defect index (HDI).</p><p><strong>Results: </strong>Thirteen BuMLP and thirteen CEM patients were included. Mean age at HDC was 3.0 ± 1.1 years and mean age at assessment was 11.3 ± 3.2 years. The study population presented with a mean HDI of 45.6 (±18.8). BuMLP presented with a mean HDI of 51.9 (±18.8) compared to CEM with a mean HDI of 39.4 (±17.3), although this was not statistically significant. All subjects demonstrated altered root development (P = .04), while 65.4% (n = 17) presented with microdontia and 69.2% (n = 18) exhibited dental agenesis.</p><p><strong>Conclusion: </strong>HRNBLs show a high prevalence of dental defects after HDC. Impacts of BuMLP versus CEM require further investigation.</p>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147311617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1016/j.oooo.2026.01.008
Esma Saricam, Bulent Altunkaynak, Guven Kayaoglu
Aim: This study evaluated whether fractal analysis of periapical radiographs can detect periradicular disease.
Materials and methods: Sixty periapical radiographs of mandibular molars were divided into four groups based on the Periapical Index (PAI) (n = 15 per group; scores 1-4). Fractal analysis of periapical and furcation regions was performed using the box-counting method in ImageJ. Multiple region of interest (ROI) sizes were tested (20 × 20, 25 × 25, 30 × 30, 40 × 40, 50 × 50, 60 × 60, 70 × 70, 20 × 50, and 20 × 40 pixels) to determine the best correlation with PAI scores. Statistical analyses included one-way analysis of variance with Tukey's post hoc test, Student t-test, and ROC analysis (p < 0.05). External validation was conducted using 33 additional radiographs.
Results: Fractal dimension (FD) values from periapical ROIs (20 × 20, 25 × 25, and 30 × 30) and bifurcation ROIs (20 × 20 and 25 × 25) significantly differed between healthy (PAI 1-2) and diseased (PAI 3-4) teeth (P < .05). ROC analysis supported the diagnostic value of these ROIs, with the highest AUC for the bifurcation 20 × 20 ROI. In the internal dataset, periapical and bifurcation 20 × 20 ROIs achieved the highest accuracies (0.82 and 0.80, respectively), and the bifurcation 20 × 20 ROI showed the greatest sensitivity (0.93). External validation confirmed the robustness of the bifurcation 20 × 20 ROI (accuracy 0.76, sensitivity 0.65, and specificity 0.88).
Conclusion: Fractal analysis can identify periradicular disease on periapical radiographs. Diagnostic accuracy depends on the analyzed region and ROI size, with the 20 × 20-pixel bifurcation ROI yielding the best performance.
{"title":"Fractal analysis as a tool for distinguishing periradicular rarefactions in endodontically diseased teeth: a diagnostic study.","authors":"Esma Saricam, Bulent Altunkaynak, Guven Kayaoglu","doi":"10.1016/j.oooo.2026.01.008","DOIUrl":"https://doi.org/10.1016/j.oooo.2026.01.008","url":null,"abstract":"<p><strong>Aim: </strong>This study evaluated whether fractal analysis of periapical radiographs can detect periradicular disease.</p><p><strong>Materials and methods: </strong>Sixty periapical radiographs of mandibular molars were divided into four groups based on the Periapical Index (PAI) (n = 15 per group; scores 1-4). Fractal analysis of periapical and furcation regions was performed using the box-counting method in ImageJ. Multiple region of interest (ROI) sizes were tested (20 × 20, 25 × 25, 30 × 30, 40 × 40, 50 × 50, 60 × 60, 70 × 70, 20 × 50, and 20 × 40 pixels) to determine the best correlation with PAI scores. Statistical analyses included one-way analysis of variance with Tukey's post hoc test, Student t-test, and ROC analysis (p < 0.05). External validation was conducted using 33 additional radiographs.</p><p><strong>Results: </strong>Fractal dimension (FD) values from periapical ROIs (20 × 20, 25 × 25, and 30 × 30) and bifurcation ROIs (20 × 20 and 25 × 25) significantly differed between healthy (PAI 1-2) and diseased (PAI 3-4) teeth (P < .05). ROC analysis supported the diagnostic value of these ROIs, with the highest AUC for the bifurcation 20 × 20 ROI. In the internal dataset, periapical and bifurcation 20 × 20 ROIs achieved the highest accuracies (0.82 and 0.80, respectively), and the bifurcation 20 × 20 ROI showed the greatest sensitivity (0.93). External validation confirmed the robustness of the bifurcation 20 × 20 ROI (accuracy 0.76, sensitivity 0.65, and specificity 0.88).</p><p><strong>Conclusion: </strong>Fractal analysis can identify periradicular disease on periapical radiographs. Diagnostic accuracy depends on the analyzed region and ROI size, with the 20 × 20-pixel bifurcation ROI yielding the best performance.</p>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.9,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147494270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-09-05DOI: 10.1016/j.oooo.2025.08.021
Stella O. Oyewole , Adepitan A. Owosho
Background
Clostridioides difficile infection (CDI), the primary cause of antibiotic-associated diarrhea in the U.S., is typically gastrointestinal but may also present with extra-intestinal features such as oral mucositis. While this association has been noted in oncology populations, its occurrence in non-oncology patients remains unexplored. This study evaluates whether adults with CDI face an elevated risk of developing oral mucositis compared to matched controls without CDI.
Study Design
A retrospective cohort study utilizing the TriNetX real-world dataset examined patients with confirmed CDI, excluding those with prior oral mucositis, leukemia, chemotherapy or radiotherapy exposure, and other major comorbidities to reduce confounding.
Results
Among matched cohorts of over 227,000 individuals, the incidence of oral mucositis within 30 days post-diagnosis was notably higher in patients with CDI compared to controls (0.035% vs. 0.015%). This translates to an absolute risk difference of 0.019% and a statistically significant two-fold increased relative risk (2.26) (P < .0001), suggesting a potential association between CDI and oral mucositis.
Conclusion
Although the absolute risk is low, the significant relative risk suggests that oral mucositis may be an overlooked complication of CDI in non-oncology patients. These findings underscore the importance of incorporating routine oral health assessments into the care of patients with CDI.
{"title":"Possible link between clostridioides difficile infection and oral mucositis: insights from a large real-world dataset","authors":"Stella O. Oyewole , Adepitan A. Owosho","doi":"10.1016/j.oooo.2025.08.021","DOIUrl":"10.1016/j.oooo.2025.08.021","url":null,"abstract":"<div><h3>Background</h3><div><em>Clostridioides difficile</em> infection (CDI), the primary cause of antibiotic-associated diarrhea in the U.S., is typically gastrointestinal but may also present with extra-intestinal features such as oral mucositis. While this association has been noted in oncology populations, its occurrence in non-oncology patients remains unexplored. This study evaluates whether adults with CDI face an elevated risk of developing oral mucositis compared to matched controls without CDI.</div></div><div><h3>Study Design</h3><div>A retrospective cohort study utilizing the TriNetX real-world dataset examined patients with confirmed CDI, excluding those with prior oral mucositis, leukemia, chemotherapy or radiotherapy exposure, and other major comorbidities to reduce confounding.</div></div><div><h3>Results</h3><div>Among matched cohorts of over 227,000 individuals, the incidence of oral mucositis within 30 days post-diagnosis was notably higher in patients with CDI compared to controls (0.035% vs. 0.015%). This translates to an absolute risk difference of 0.019% and a statistically significant two-fold increased relative risk (2.26) (<em>P < .</em>0001), suggesting a potential association between CDI and oral mucositis.</div></div><div><h3>Conclusion</h3><div>Although the absolute risk is low, the significant relative risk suggests that oral mucositis may be an overlooked complication of CDI in non-oncology patients. These findings underscore the importance of incorporating routine oral health assessments into the care of patients with CDI.</div></div>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"141 2","pages":"Pages 165-169"},"PeriodicalIF":1.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145259412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-12-31DOI: 10.1016/j.oooo.2025.10.018
{"title":"American Board of Oral and Maxillofacial Pathology certification examination dates and deadlines","authors":"","doi":"10.1016/j.oooo.2025.10.018","DOIUrl":"10.1016/j.oooo.2025.10.018","url":null,"abstract":"","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"141 2","pages":"Page 268"},"PeriodicalIF":1.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145852423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-11-28DOI: 10.1016/j.oooo.2025.10.013
{"title":"Abstracts accepted at the 2025 Joint Meeting of the American Academy of Oral Medicine (AAOM) and the European Association of Oral Medicine (EAOM)","authors":"","doi":"10.1016/j.oooo.2025.10.013","DOIUrl":"10.1016/j.oooo.2025.10.013","url":null,"abstract":"","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"141 2","pages":"Pages e15-e27"},"PeriodicalIF":1.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145852425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-09-14DOI: 10.1016/j.oooo.2025.09.004
Caique Mariano Pedroso DDS, MSc , Anderson Faria Claret MSc , Rafael Vasconcelos Costa Machado , Anna Luiza Damaceno Araujo DDS, MSc, PhD , Cristina Saldivia-Siracusa DDS, MSc , Alexander T. Pearson MD, PhD , Luiz Paulo Kowalski MD, PhD , Pablo Agustin Vargas DDS, MSc, PhD , Marcio Ajudarte Lopes DDS, MSc, PhD , Matheus Cardoso Moraes PhD , Alan Roger Santos-Silva DDS, PhD
Objective
This study aimed to evaluate machine learning models for predicting the recurrence and malignant transformation of oral leukoplakia (OL).
Methods
A total of 123 OL patients with biopsy-confirmed diagnoses were retrospectively enrolled, and their clinicopathologic data were carefully documented. The data underwent preprocessing to ensure uniformity and reliability. Five machine learning models (Logistic Regression, Random Forest, XGBoost, Artificial Neural Network, and Decision Tree) were evaluated using nested cross-validation, and model performance was assessed using accuracy, precision, recall, F1-score, specificity, and area under curve (AUC). SHapley Additive exPlanations (SHAP) values were computed to assess feature importance and interpret model predictions.
Results
Logistic regression was the best-performing model for recurrence prediction (AUC: 0.65; accuracy: 0.59; recall: 0.65; F1-score: 0.37), using an optimized threshold of 0.454. For malignant transformation, Artificial Neural Network achieved the best performance: balanced accuracy (0.82); recall (0.70); AUC (0.77). SHAP analysis identified recurrence, dysplasia degree, and treatment type as key predictors.
Conclusion
Machine learning models showed potential in predicting OL outcomes with clinical data, with Logistic Regression and Artificial Neural Network offering the most balanced performance for recurrence and malignant transformation, respectively. However, variability across folds and limited sensitivity highlight the need for further model refinement and larger datasets before clinical application.
{"title":"Machine learning models for predicting recurrence and malignant transformation of oral leukoplakia","authors":"Caique Mariano Pedroso DDS, MSc , Anderson Faria Claret MSc , Rafael Vasconcelos Costa Machado , Anna Luiza Damaceno Araujo DDS, MSc, PhD , Cristina Saldivia-Siracusa DDS, MSc , Alexander T. Pearson MD, PhD , Luiz Paulo Kowalski MD, PhD , Pablo Agustin Vargas DDS, MSc, PhD , Marcio Ajudarte Lopes DDS, MSc, PhD , Matheus Cardoso Moraes PhD , Alan Roger Santos-Silva DDS, PhD","doi":"10.1016/j.oooo.2025.09.004","DOIUrl":"10.1016/j.oooo.2025.09.004","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to evaluate machine learning models for predicting the recurrence and malignant transformation of oral leukoplakia (OL).</div></div><div><h3>Methods</h3><div>A total of 123 OL patients with biopsy-confirmed diagnoses were retrospectively enrolled, and their clinicopathologic data were carefully documented. The data underwent preprocessing to ensure uniformity and reliability. Five machine learning models (Logistic Regression, Random Forest, XGBoost, Artificial Neural Network, and Decision Tree) were evaluated using nested cross-validation, and model performance was assessed using accuracy, precision, recall, F1-score, specificity, and area under curve (AUC). SHapley Additive exPlanations (SHAP) values were computed to assess feature importance and interpret model predictions.</div></div><div><h3>Results</h3><div>Logistic regression was the best-performing model for recurrence prediction (AUC: 0.65; accuracy: 0.59; recall: 0.65; F1-score: 0.37), using an optimized threshold of 0.454. For malignant transformation, Artificial Neural Network achieved the best performance: balanced accuracy (0.82); recall (0.70); AUC (0.77). SHAP analysis identified recurrence, dysplasia degree, and treatment type as key predictors.</div></div><div><h3>Conclusion</h3><div>Machine learning models showed potential in predicting OL outcomes with clinical data, with Logistic Regression and Artificial Neural Network offering the most balanced performance for recurrence and malignant transformation, respectively. However, variability across folds and limited sensitivity highlight the need for further model refinement and larger datasets before clinical application.</div></div>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"141 2","pages":"Pages 176-186"},"PeriodicalIF":1.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145318679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2025-09-18DOI: 10.1016/j.oooo.2025.09.011
Maurília Raquel de Souto Medeiros PhD , Caio César da Silva Barros PhD , Elana Raquel de Oliveira Brito , Nicole Stheffany de Oliveira Alves , Patrícia Teixeira de Oliveira PhD , Éricka Janine Dantas da Silveira PhD
Background
Multinucleated giant cells (MGCs) can be involved in pathological processes in the oral and maxillofacial region. Oral and maxillofacial lesions that may show giant cells (OMLGC) exhibit diverse clinical characteristics and etiopathogenesis. This retrospective study analyzed the occurrence and clinicopathological characteristics of patients diagnosed with OMLGCs.
Material and Methods
Clinicopathological information was collected from biopsy records and histopathological reports of patients diagnosed with OMLGCs in a Brazilian Oral Pathology Service (1970-2023).
Results
Four hundred forty-one cases of OMLGCs were diagnosed. Of these, 59.4% (n = 262) were female, with a mean age of 31.2 ± 18.7 years. The peripheral giant cell granuloma was the most common in soft tissue (n = 169). Soft tissue OMLGCs affected the mandible's posterior gingiva/alveolar ridge (24.4%). In hard tissue, the most frequent lesion was the central giant cell granuloma (n = 104), and the posterior region of the mandible (42.2%) and maxilla (20.8%) were the most affected. Regarding the radiographic appearance, most cases were described as radiolucent (61.3%), well-defined (85.7%), and multilocular (60%).
Conclusions
Our study's findings contribute to a more comprehensive understanding of the epidemiological, clinical, and radiographic profile of OMLGCs, aiding in the differential diagnosis and management of these lesions in clinical practice.
{"title":"Characterization of oral and maxillofacial lesions that may exhibit giant cells: a retrospective study in a Brazilian population over 53 years","authors":"Maurília Raquel de Souto Medeiros PhD , Caio César da Silva Barros PhD , Elana Raquel de Oliveira Brito , Nicole Stheffany de Oliveira Alves , Patrícia Teixeira de Oliveira PhD , Éricka Janine Dantas da Silveira PhD","doi":"10.1016/j.oooo.2025.09.011","DOIUrl":"10.1016/j.oooo.2025.09.011","url":null,"abstract":"<div><h3>Background</h3><div>Multinucleated giant cells (MGCs) can be involved in pathological processes in the oral and maxillofacial region. Oral and maxillofacial lesions that may show giant cells (OMLGC) exhibit diverse clinical characteristics and etiopathogenesis. This retrospective study analyzed the occurrence and clinicopathological characteristics of patients diagnosed with OMLGCs.</div></div><div><h3>Material and Methods</h3><div>Clinicopathological information was collected from biopsy records and histopathological reports of patients diagnosed with OMLGCs in a Brazilian Oral Pathology Service (1970-2023).</div></div><div><h3>Results</h3><div>Four hundred forty-one cases of OMLGCs were diagnosed. Of these, 59.4% (n = 262) were female, with a mean age of 31.2 ± 18.7 years. The peripheral giant cell granuloma was the most common in soft tissue (n = 169). Soft tissue OMLGCs affected the mandible's posterior gingiva/alveolar ridge (24.4%). In hard tissue, the most frequent lesion was the central giant cell granuloma (n = 104), and the posterior region of the mandible (42.2%) and maxilla (20.8%) were the most affected. Regarding the radiographic appearance, most cases were described as radiolucent (61.3%), well-defined (85.7%), and multilocular (60%).</div></div><div><h3>Conclusions</h3><div>Our study's findings contribute to a more comprehensive understanding of the epidemiological, clinical, and radiographic profile of OMLGCs, aiding in the differential diagnosis and management of these lesions in clinical practice.</div></div>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"141 2","pages":"Pages 229-238"},"PeriodicalIF":1.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145330709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}