G Marzorati, F Khayyat, V Bermúdez, I Cortell, B Merck
{"title":"Osseodensification versus standard osteotomy: systematic review and meta-analysis of dental implant torque and stability.","authors":"G Marzorati, F Khayyat, V Bermúdez, I Cortell, B Merck","doi":"10.1016/j.ijom.2026.02.008","DOIUrl":"https://doi.org/10.1016/j.ijom.2026.02.008","url":null,"abstract":"<p><p>The aim of this study was to analyse and compare the biomechanical performance of a novel drilling technique known as osseodensification, which focuses on bone preservation and compaction rather than removal, against the conventional osteotomy technique in implant placement. Online databases were searched to identify relevant articles published in English during the last 10 years (up until September 11, 2025), reporting in vivo clinical trials involving a healthy adult population undergoing single or multiple implant placement, and comparing osseodensification and standard osteotomy drills, in a partially or fully edentulous segment of alveolar bone. Biomechanical measures analysed were the insertion torque and implant stability quotient (ISQ). Risk of bias and study quality were evaluated using the RoB 2 tool, Newcastle-Ottawa Scale, and GRADE system. The results were synthesized. Overall, a total of 555 patients (59.2% female, in studies reporting the sex distribution), received a total of 685 implants (343 using osseodensification). The overall mean insertion torque in the osseodensification group was 45.75 ± 6.55 N·cm, while in the standard osteotomy group it was 38.00 ± 7.01 N·cm (P < 0.001). The estimated average mean difference in ISQ (random-effects model) was 3.24 (95% confidence interval 0.72-5.95; P = 0.024). The data showed that sites prepared with osseodensification resulted in higher implant torque and primary stability of the implant (ISQ) immediately postoperative. However, longitudinal data were insufficient to allow a meaningful statistical analysis of ISQ trends over time.</p>","PeriodicalId":94053,"journal":{"name":"International journal of oral and maxillofacial surgery","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147358152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J I Heins, B J Merema, K P Schepman, M J Lamers, J Vister, B van der Vegt, J Doff, J Kraeima, M J H Witjes
{"title":"Accuracy of MRI-based delineation of mandibular bone invasion in oral squamous cell carcinoma using histopathological validation.","authors":"J I Heins, B J Merema, K P Schepman, M J Lamers, J Vister, B van der Vegt, J Doff, J Kraeima, M J H Witjes","doi":"10.1016/j.ijom.2026.02.017","DOIUrl":"https://doi.org/10.1016/j.ijom.2026.02.017","url":null,"abstract":"<p><p>In oral squamous cell carcinoma (OSCC) with mandibular invasion, precise preoperative delineation of the tumour within bone is crucial for three-dimensional (3D) virtual surgical planning and postoperative outcomes. Magnetic resonance imaging (MRI) and computed tomography (CT) enable 3D delineation, but MRI often overestimates tumour size due to inflammation and peri-tumoral oedema, potentially leading to excessive resections and increased morbidity. A quantitative 3D analysis of overestimation by MRI is lacking. A postoperative pathological assessment workflow to determine delineation accuracy was developed in this study. Eight patients with OSCC who underwent mandibular resection were included. A guide enabled precise gross sectioning of resected mandibles, and the sections were analysed histopathologically for bone invasion and erosion. Delineation error was measured and expressed as the length of over-resected bone. MRI-based delineation overestimated tumour size in all patients, with a mean length of over-resected mandibular bone, omitting the 10-mm safety margin, of 32 ± 16 mm. Bone invasion and erosion were observed in six cases. This study highlights the need for improved imaging feedback. Overestimation from MRI may lead to excessive resection of healthy tissue. Enhanced imaging feedback is essential to support radiologists and surgeons in achieving more precise delineations and preserving healthy tissue.</p>","PeriodicalId":94053,"journal":{"name":"International journal of oral and maxillofacial surgery","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147358166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R V Raja, K Manikantan, P V Jain, P Arun, J Das, S Sen, A Gehani
{"title":"Comparison of PET-CT and contrast-enhanced CT in the evaluation of recurrent oral squamous cell carcinoma.","authors":"R V Raja, K Manikantan, P V Jain, P Arun, J Das, S Sen, A Gehani","doi":"10.1016/j.ijom.2026.02.018","DOIUrl":"https://doi.org/10.1016/j.ijom.2026.02.018","url":null,"abstract":"<p><p>Recurrence is common among patients with loco-regionally advanced oral cancer. This single-centre, retrospective study was performed to compare positron emission tomography-computed tomography (PET-CT) and conventional contrast-enhanced computed tomography (CECT) in evaluation of recurrent oral squamous cell carcinoma, following definitive treatment. Patients with suspected recurrence during 2016-2019 were included. CECT findings were reviewed by two consultants and PET-CT findings by one consultant. All reviewers were blinded to the assessments of others. Concordance between CECT and PET-CT was evaluated. 195 patients met the necessary criteria. Common primary subsites were buccal mucosa (36.4%) and tongue (30.8%). Majority patients had loco-regionally advanced disease (66.3%). Surgery alone was the primary modality of treatment (93.3%). Disease detection was similar among the two individual CECT raters and the PET-CT rater. For the PET-CT rater vs CECT raters combined, detection rate was 69.2% vs 71.8% for local disease, 47.7% vs 51.3% for regional disease, and 22.1% vs 21.5% for distant disease. Kappa values for inter-rater agreement ranged from 0.55 to 0.74 and were statistically significant (all P < 0.001 ), suggesting substantial agreement among the raters. This study revealed that CECT was comparable to PET-CT for detecting oral malignancy recurrence.</p>","PeriodicalId":94053,"journal":{"name":"International journal of oral and maxillofacial surgery","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R Hasbi, A Brotons, M Le Gall, D Dorison-Bachet, R Urena, C Philip-Alliez
{"title":"Artificial intelligence in treatment prediction for skeletal Class III malocclusion: A systematic review.","authors":"R Hasbi, A Brotons, M Le Gall, D Dorison-Bachet, R Urena, C Philip-Alliez","doi":"10.1016/j.ijom.2026.02.016","DOIUrl":"https://doi.org/10.1016/j.ijom.2026.02.016","url":null,"abstract":"<p><p>In skeletal Class III patients, treatment options range from orthodontics to orthognathic surgery. Choosing the optimal approach requires a comprehensive clinical evaluation, which may be supported by AI tools. The aim of this study was to assess the performance of AI models in predicting the need for orthognathic surgery and in identifying predictors influencing treatment decisions. A PRISMA-guided electronic database search (PubMed, Web of Science; 2009-2024; English/French) was performed to identify studies using machine learning (ML) or deep learning (DL) on cephalometric and clinical data. After screening and assessment for eligibility, 15 studies were critically appraised. Model performance was summarized using accuracy, sensitivity, specificity, and the area under the curve (AUC). ML algorithms (particularly Random Forest and XGBoost) and DL models (ResNet-based convolutional neural networks (CNNs)) achieved high accuracy for predicting surgical need. Frequently selected predictors included Wits appraisal, ANB angle, the maxillomandibular ratio (Mx/Md), overjet, and the divergence of the lower gonial angle. AI methods show promise for assisting treatment decisions in Class III malocclusion, with Random Forest and XGBoost performing well on tabular cephalometric data and CNNs on imaging. Larger, multicentre datasets and external validation are needed to improve reliability, address bias, and support clinical implementation.</p>","PeriodicalId":94053,"journal":{"name":"International journal of oral and maxillofacial surgery","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147350009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Response to the comment on \"Papilliferous keratoameloblastoma: a case report with review of the literature\".","authors":"A B Urs, J Augustine, P Kumar, S Mohanty, S Jha","doi":"10.1016/j.ijom.2026.02.011","DOIUrl":"https://doi.org/10.1016/j.ijom.2026.02.011","url":null,"abstract":"","PeriodicalId":94053,"journal":{"name":"International journal of oral and maxillofacial surgery","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147322695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Response to the comment on \"Enamel matrix derivative in the prevention and treatment of medication-related osteonecrosis of the jaws in rats\".","authors":"C Eren, C Y Asan, A Kara, C Topan, A E Demirbas","doi":"10.1016/j.ijom.2026.02.015","DOIUrl":"https://doi.org/10.1016/j.ijom.2026.02.015","url":null,"abstract":"","PeriodicalId":94053,"journal":{"name":"International journal of oral and maxillofacial surgery","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147322697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating the diagnostic accuracy of ChatGPT-4 in oral and maxillofacial lesions: a pilot clinical vignette study.","authors":"A Jain","doi":"10.1016/j.ijom.2026.02.004","DOIUrl":"https://doi.org/10.1016/j.ijom.2026.02.004","url":null,"abstract":"<p><p>There is growing interest in whether artificial intelligence (AI) large language models such as ChatGPT-4 can support clinicians and trainees in the diagnosis of oral and maxillofacial surgery (OMFS) lesions. This pilot study evaluated the diagnostic accuracy of ChatGPT-4 in identifying OMFS lesions using standardized clinical vignettes and assessed the clarity of its diagnostic reasoning compared to expert consensus. Fifty diverse clinical vignettes representing a range of OMFS lesions were developed and validated by three oral and maxillofacial surgeons. Each vignette was entered into ChatGPT-4 with a uniform prompt. The AI's 'most likely diagnosis' was compared to expert consensus. Outcomes included overall and category-wise diagnostic accuracy and expert-rated clarity of diagnostic reasoning. ChatGPT-4 showed overall diagnostic accuracy of 70% (35/50), performing best in odontogenic infections (90%) and worst in soft-tissue malignancies (33%). The model's reasoning clarity received an average score of 3.8 out of 5. While ChatGPT-4 excelled in recognizing classical lesion patterns, it showed limitations in interpreting complex cases. ChatGPT-4 demonstrates moderate diagnostic capability for common OMFS lesions and holds promise as an educational tool. However, its limited performance in complex diagnoses underscores the need for domain-specific optimization and expert oversight before any clinical use.</p>","PeriodicalId":94053,"journal":{"name":"International journal of oral and maxillofacial surgery","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147319225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N Larsen, J Buhl, J Wolff, T K Pedersen, T Baad-Hansen, S E Nørholt
{"title":"Response to the comment on \"Robotic-controlled laser osteotome versus manually controlled osteotomy for interdental osteotomies: a cadaveric study\".","authors":"N Larsen, J Buhl, J Wolff, T K Pedersen, T Baad-Hansen, S E Nørholt","doi":"10.1016/j.ijom.2026.02.013","DOIUrl":"https://doi.org/10.1016/j.ijom.2026.02.013","url":null,"abstract":"","PeriodicalId":94053,"journal":{"name":"International journal of oral and maxillofacial surgery","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147319234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nomogram based on the pre-treatment systemic oxidative stress score to predict the prognosis of surgically treated patients with oral squamous cell carcinoma: competing risk model analysis.","authors":"X Bao, L Shen, W Huang, L Lin, B He","doi":"10.1016/j.ijom.2026.02.005","DOIUrl":"https://doi.org/10.1016/j.ijom.2026.02.005","url":null,"abstract":"<p><p>The aim of this study was to explore the prognostic predictive importance of the pre-treatment systemic oxidative stress score (SOS) in surgically treated patients with oral squamous cell carcinoma (OSCC). A prospective cohort study was conducted involving 591 patients who underwent surgical treatment for OSCC between May 2011 and March 2022. The SOS was derived from a composite integration of clinically relevant oxidative stress biomarkers: total bilirubin, blood urea nitrogen, creatinine, lactate dehydrogenase, and serum albumin. A variety of analytical methods, including competing risk models, generalized boosted regression modelling (GBM), and propensity score matching analysis, were employed to evaluate the prognostic significance of the SOS. Multivariable Fine-Gray analysis revealed that patients with a high pre-treatment SOS exhibited significantly worse disease-specific survival (DSS) than those with a low SOS (original cohort: hazard ratio 3.58, 95% confidence interval 2.19-5.85, P < 0.001; matched cohort: hazard ratio 3.60, 95% confidence interval 2.10-6.43, P < 0.001). GBM revealed that the relative influence of SOS ranked third. Elevated SOS was confirmed as an independent factor for poor DSS in patients with OSCC. This index may be used to facilitate personalized treatment strategies and optimized postoperative follow-up.</p>","PeriodicalId":94053,"journal":{"name":"International journal of oral and maxillofacial surgery","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147313642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N Adell-Gómez, A Valls-Ontañón, A Malet-Contreras, J Raurich-Leandro, A Valls-Esteve, J Rubio-Palau
{"title":"Innovative use of intraoperative computed tomography and intraoperative three-dimensional result verification in intraoral paediatric mandibular distraction.","authors":"N Adell-Gómez, A Valls-Ontañón, A Malet-Contreras, J Raurich-Leandro, A Valls-Esteve, J Rubio-Palau","doi":"10.1016/j.ijom.2026.02.007","DOIUrl":"https://doi.org/10.1016/j.ijom.2026.02.007","url":null,"abstract":"<p><p>Surgical planning using three-dimensional (3D) technologies has become increasingly popular in complex procedures, notably in maxillofacial surgery. Most existing literature emphasizes preoperative planning and guide fabrication, with limited focus on intraoperative validation of these plans. This study presents a novel protocol incorporating intraoperative 3D planning and cone-beam computed tomography verification in paediatric mandibular distraction osteogenesis for hemifacial microsomia. The proposed workflow integrates preoperative 3D planning, 3D printing of surgical guides, and intraoperative CBCT assessment to evaluate distractor positioning and surgical accuracy in real time. A retrospective analysis of seven cases demonstrated that intraoperative planning enabled the detection of distractor deviations. The results show that the use of 3D technologies in the planning and execution of paediatric mandibular distraction procedures is a valuable tool that has the potential to improve the accuracy and efficiency of the surgical process. It allows for an intraoral approach, a personalized surgical planning, and real-time feedback during the procedure.</p>","PeriodicalId":94053,"journal":{"name":"International journal of oral and maxillofacial surgery","volume":" ","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146777161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}