Journal of Dental Sciences最新文献

{"title":"Automatic classification of temporomandibular joint disorders by magnetic resonance imaging and convolutional neural networks","authors":"Ting-Yi Su ,&nbsp;Jacky Chung-Hao Wu ,&nbsp;Wen-Chi Chiu ,&nbsp;Tzeng-Ji Chen ,&nbsp;Wen-Liang Lo ,&nbsp;Henry Horng-Shing Lu","doi":"10.1016/j.jds.2024.06.001","DOIUrl":"10.1016/j.jds.2024.06.001","url":null,"abstract":"<div><h3>Background/purpose</h3><div>In this study, we utilized magnetic resonance imaging data of the temporomandibular joint, collected from the Division of Oral and Maxillofacial Surgery at Taipei Veterans General Hospital. Our research focuses on the classification and severity analysis of temporomandibular joint disease using convolutional neural networks.</div></div><div><h3>Materials and methods</h3><div>In gray-scale image series, the most critical features often lie within the articular disc cartilage, situated at the junction of the temporal bone and the condyles. To identify this region efficiently, we harnessed the power of You Only Look Once deep learning technology. This technology allowed us to pinpoint and crop the articular disc cartilage area. Subsequently, we processed the image by converting it into the HSV format, eliminating surrounding noise, and storing essential image information in the V value. To simplify age and left-right ear information, we employed linear discriminant analysis and condensed this data into the S and H values.</div></div><div><h3>Results</h3><div>We developed the convolutional neural network with six categories to identify severe stages in patients with temporomandibular joint (TMJ) disease. Our model achieved an impressive prediction accuracy of 84.73%.</div></div><div><h3>Conclusion</h3><div>This technology has the potential to significantly reduce the time required for clinical imaging diagnosis, ultimately improving the quality of patient care. Furthermore, it can aid clinical specialists by automating the identification of TMJ disorders.</div></div>","PeriodicalId":15583,"journal":{"name":"Journal of Dental Sciences","volume":"20 1","pages":"Pages 393-401"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141414714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of spatial accessibility of dental institutions in Taiwan: The application of a geographical information system software","authors":"Feng-Chou Cheng,&nbsp;Chi-Hung Chen,&nbsp;Ming-Chung Lee,&nbsp;Chun-Pin Chiang","doi":"10.1016/j.jds.2024.09.014","DOIUrl":"10.1016/j.jds.2024.09.014","url":null,"abstract":"","PeriodicalId":15583,"journal":{"name":"Journal of Dental Sciences","volume":"20 1","pages":"Pages 707-709"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11763849/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143052716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence measurement of multi-layer tooth structures using semantic segmentation and computer vision","authors":"Yu-Chieh Lin ,&nbsp;Feng-Chou Cheng ,&nbsp;Wei-Chun Lin,&nbsp;Chun-Pin Chiang","doi":"10.1016/j.jds.2024.11.007","DOIUrl":"10.1016/j.jds.2024.11.007","url":null,"abstract":"","PeriodicalId":15583,"journal":{"name":"Journal of Dental Sciences","volume":"20 1","pages":"Pages 723-725"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11763839/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143052721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of autologous demineralized dentin matrix on postoperative complications and wound healing following lower third molar surgery: A split-mouth randomized clinical trial","authors":"Nhan Thanh Nguyen,&nbsp;Son Hoang Le,&nbsp;Bich-Ly Thi Nguyen","doi":"10.1016/j.jds.2024.04.026","DOIUrl":"10.1016/j.jds.2024.04.026","url":null,"abstract":"<div><h3>Background/purpose</h3><div>Autologous dentin materials are among the most promising bone substitutes for preventing osseous defects on the distal side of the lower second molar. This study aimed to investigate the effects of autologous demineralized dentin matrix on postoperative complications and wound healing after lower third molar surgery.</div></div><div><h3>Materials and methods</h3><div>Thirteen patients with bilateral symmetrical lower third molars participated in this split-mouth randomized clinical trial. After removal surgery, one socket of the lower third molar was grafted with dentin material (demineralized dentin matrix side), and a piece of collagen sponge was used for the tooth socket of the remaining side (control side). The upper third molar on the same lateral side was extracted immediately before lower third molar surgery and used to create a demineralized dentin matrix according to the manufacturer's protocol (KometaBio). After lower third molar surgery, pain, swelling, trismus, and Inflammatory Proliferative Remodeling Scale scores were used to evaluate postoperative complications and wound healing.</div></div><div><h3>Results</h3><div>Pain, swelling, and trismus of the demineralized dentin matrix and control sides were not significantly different at any assessment time (<em>P</em> &gt; 0.05). The wound-healing scores of the demineralized dentin matrix side were better than those of the control side; however, the differences were only significant at 7th and 30th days (<em>P</em> &lt; 0.05).</div></div><div><h3>Conclusion</h3><div>Grafting autologous demineralized dentin matrix into the tooth socket did not increase the postoperative complications after lower third molar surgery. However, wound healing on the graft side was comparatively better than that on the control side.</div></div><div><h3>Clinicaltrials.gov identifier</h3><div>NCT06073639, date 10 October, 2023. This is a retrospectively registered trial.</div></div>","PeriodicalId":15583,"journal":{"name":"Journal of Dental Sciences","volume":"20 1","pages":"Pages 553-559"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141039355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic approach for the rare anterior variant of mandibular bone depression often misdiagnosed as tumorous lesions","authors":"Hak-Sun Kim","doi":"10.1016/j.jds.2024.05.002","DOIUrl":"10.1016/j.jds.2024.05.002","url":null,"abstract":"<div><h3>Background/purpose</h3><div>This study analyzed the clinical and imaging features of lingual mandibular bone depression (LMBD) in the anterior mandible, aiming to prevent misdiagnosis and unnecessary surgical procedures.</div></div><div><h3>Materials and methods</h3><div>The patients who visited a university dental hospital for painless radiolucency in the anterior mandible from January 2010 to December 2022 were retrospectively reviewed. Twelve cases of LMBD in the anterior mandible that are confirmed by biopsy or long-term follow-up were identified. Two oral and maxillofacial radiologists evaluated the imaging features. Additionally, 12 cases were manually collected from case reports published between 2001 and 2022. Clinical and histopathologic data were obtained from both groups and clinical information were compared using Fisher's exact test.</div></div><div><h3>Results</h3><div>The clinical information of the patients and that from the case reports showed no statistically significant differences, except for the clinical impression (<em>P</em> = 0.005). The imaging features of anterior LMBD included the absence of lingual cortical expansion and soft tissue bulging, a mostly round cortical border, and muscle-level attenuation, as observed on multidetector computed tomography (MDCT). Occasionally, the progression of LMBD led to thinning of the labial cortex.</div></div><div><h3>Conclusion</h3><div>If non-specific clinical features are present, MDCT is recommended to distinguish anterior LMBD from tumorous lesions that require surgical intervention.</div></div>","PeriodicalId":15583,"journal":{"name":"Journal of Dental Sciences","volume":"20 1","pages":"Pages 502-509"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141048966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Establishment and evaluation of a deep learning-based tooth wear severity grading system using intraoral photographs","authors":"Ya-Ning Pang ,&nbsp;Zhen Yang ,&nbsp;Ling-Xiao Zhang ,&nbsp;Xiao-qiang Liu ,&nbsp;Xin-Shu Dong ,&nbsp;Xun Sheng ,&nbsp;Jian-guo Tan ,&nbsp;Xin-Yu Mao ,&nbsp;Ming-yue Liu","doi":"10.1016/j.jds.2024.05.013","DOIUrl":"10.1016/j.jds.2024.05.013","url":null,"abstract":"<div><h3>Background/purpose</h3><div>Artificial intelligence (AI) can assist in medical diagnosis owing to its high accuracy and efficiency. This study aimed to develop a diagnostic system for automatically determining the degree of tooth wear (TW) using intraoral photographs with deep learning.</div></div><div><h3>Materials and methods</h3><div>The study included 388 intraoral photographs. A tooth segmentation model was first established using the Mask R-CNN architecture, which incorporated U-Net and SGE attention mechanisms. Subsequently, 2774 individual tooth images output from the segmentation model were included into the classification task, labeled and randomized into training, validation, and test sets with 6.0:2.0:2.0 ratio. A vision transformer model optimized using a mask mechanism was constructed for TW degree classification. The models were evaluated using the accuracy, precision, recall, and F1-score metrics. The time required for AI analysis was calculated.</div></div><div><h3>Results</h3><div>The accuracy of the tooth segmentation model was 0.95. The average accuracy, precision, recall, and F1-score in the classification task were 0.93, 0.91, 0.88, and 0.89, respectively. The F1-score differed in different grades (0.97 for grade 0, 0.90 for grade 1, 0.88 for grade 2, and 0.82 for grade 3). No significant difference was observed in the accuracy between different surfaces. The AI system reduced the time required to grade an individual tooth surface to 0.07 s, compared to the 2.67 s required by clinicians.</div></div><div><h3>Conclusion</h3><div>The developed system provides superior accuracy and efficiency in determining TW degree using intraoral photographs. It might assist clinicians in the decision-making for TW treatment and help patients perform self-assessments and disease follow-ups.</div></div>","PeriodicalId":15583,"journal":{"name":"Journal of Dental Sciences","volume":"20 1","pages":"Pages 477-486"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141130460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Membrane-free stem cell components suppress osteoclast differentiation: Implications for oral regenerative treatment","authors":"Sang-Wook Ahn ,&nbsp;Eun-Jung Kim ,&nbsp;Mi Kyoung Kim ,&nbsp;Sang-Hun Shin ,&nbsp;Jin-Ju Kwon","doi":"10.1016/j.jds.2024.08.005","DOIUrl":"10.1016/j.jds.2024.08.005","url":null,"abstract":"<div><h3>Background/purpose</h3><div>Membrane-free stem cell components (MFSCCs) have been developed by removing cell membranes with antigens to overcome the limitations associated with cell-based therapies and isolate effective peptides. MFSCCs have been reported to have effects on oral infection sites. Chronic inflammatory diseases cause excessive bone resorption. This study investigated the effects of MFSCCs on osteoclast differentiation in the context of the high prevalence of inflammatory bone resorption.</div></div><div><h3>Materials and methods</h3><div>Bone marrow macrophages (BMMs) were treated with macrophage colony-stimulating factor and receptor activator of nuclear factor kappa-B ligand. Osteoclast differentiation was assessed based on the MFSCC concentrations. Tartrate-resistant acid phosphatase (TRAP)-stained mature osteoclasts and multinucleated cells derived from BMMs were analyzed using light microscopy. The messenger RNA (mRNA) expression levels of genes related to osteoclast differentiation were measured using real-time polymerase chain reaction (RT-PCR). The relative expression levels of the key transcription factors c-fos and nuclear factor of activated T cells (NFATc1) were determined using quantitative RT-PCR and western blotting.</div></div><div><h3>Results</h3><div>After treatment with MFSCCs, the cell viability was similar, depending on the level of BMMs. As the MFSCC concentration increased, the number of TRAP-positive cells decreased. The mRNA and protein expression of cathepsin K, TRAP, dendritic cell-specific transmembrane protein, c-fos, and NFATc1 decreased as the MFSCC concentration increased.</div></div><div><h3>Conclusion</h3><div>Our findings demonstrate that MFSCCs suppress osteoclast differentiation by downregulating transcription factors, particularly, c-fos and NFATc1. Therefore, MFSCCs may serve as a conservative treatment option for chronic inflammatory bone resorption diseases of the oral cavity by suppressing excessive bone resorption.</div></div>","PeriodicalId":15583,"journal":{"name":"Journal of Dental Sciences","volume":"20 1","pages":"Pages 212-219"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11762959/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143052605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Periodontal inflammation potentially inhibits hepatic cytochrome P450 expression and disrupts the omega-3 epoxidation pathway in a murine model","authors":"Yoshino Daidouji,&nbsp;Shigeki Suzuki,&nbsp;Xiuting Wang,&nbsp;Rahmad Rifqi Fahreza,&nbsp;Eiji Nemoto,&nbsp;Satoru Yamada","doi":"10.1016/j.jds.2024.05.028","DOIUrl":"10.1016/j.jds.2024.05.028","url":null,"abstract":"","PeriodicalId":15583,"journal":{"name":"Journal of Dental Sciences","volume":"20 1","pages":"Pages 444-451"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11763211/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143052666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Conservative management of central odontogenic fibroma for tooth preservation and spontaneous eruption in a pre-teen","authors":"Chen-Chieh Hsu,&nbsp;Hung-Min Fang,&nbsp;Meng-Ling Chiang,&nbsp;Jyh-Kwei Chen","doi":"10.1016/j.jds.2024.08.022","DOIUrl":"10.1016/j.jds.2024.08.022","url":null,"abstract":"","PeriodicalId":15583,"journal":{"name":"Journal of Dental Sciences","volume":"20 1","pages":"Pages 713-715"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11763195/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143052726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tooth extraction after transfusion of fresh frozen plasma in a severe factor XI deficiency (hemophilia C) patient","authors":"Hsin-Yang Liang,&nbsp;Chun-Pin Chiang","doi":"10.1016/j.jds.2024.08.018","DOIUrl":"10.1016/j.jds.2024.08.018","url":null,"abstract":"","PeriodicalId":15583,"journal":{"name":"Journal of Dental Sciences","volume":"20 1","pages":"Pages 716-717"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11762926/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143052797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}