Oral diseases最新文献_第3页

Is There a Role for Colchicine in the Treatment of Oral Mucous Membrane Pemphigoid? 秋水仙碱在治疗口腔粘膜丘疹性脓疱病中有作用吗？

IF 2.9 3区医学

Oral diseases Pub Date : 2024-11-04 DOI: 10.1111/odi.15193

E Fribourg, V Chuy, M Fenelon, S Catros, J C Fricain

引用次数: 0

Accurate Risk Prediction Model for Surgical Site Infection After Lower Third Molar Surgery. 下第三磨牙手术后手术部位感染的精确风险预测模型

IF 2.9 3区医学

Oral diseases Pub Date : 2024-11-03 DOI: 10.1111/odi.15185

HaiPeng Yu

引用次数: 0

Evaluating Dentists' Understanding of Dry Mouth Management: An International Cross-Sectional Study. 评估牙医对口腔干燥管理的理解：一项国际横断面研究。

IF 2.9 3区医学

Oral diseases Pub Date : 2024-11-03 DOI: 10.1111/odi.15176

Anas B Alsalhani, Mohammad Zakaria Nassani, Mohammed Noushad, Bassel Tarakji, Samer Rastam, Azza Sioufi, Basem Sabbagh, Salah A Yousief, Abdulaziz Binrayes, Mudassir Hussain, Mohammed Arshad, Tahsinul Haque, Fatema Akhter, Shamil Fayis, Rami Taher Mousa, Mowaffak Adi, Omar Kujan

{"title":"Evaluating Dentists' Understanding of Dry Mouth Management: An International Cross-Sectional Study.","authors":"Anas B Alsalhani, Mohammad Zakaria Nassani, Mohammed Noushad, Bassel Tarakji, Samer Rastam, Azza Sioufi, Basem Sabbagh, Salah A Yousief, Abdulaziz Binrayes, Mudassir Hussain, Mohammed Arshad, Tahsinul Haque, Fatema Akhter, Shamil Fayis, Rami Taher Mousa, Mowaffak Adi, Omar Kujan","doi":"10.1111/odi.15176","DOIUrl":"https://doi.org/10.1111/odi.15176","url":null,"abstract":"Objective: Studying dentists' knowledge of dry mouth management is crucial for effective diagnosis and treatment, improving patient outcomes and oral health. This study aimed to evaluate their knowledge and awareness of dry mouth and its predictors.Materials and methods: A pre-validated online survey was administered to a convenience sample of dentists across six countries. The questionnaire evaluated knowledge in various domains, including predisposing factors, diagnosis, clinical signs and symptoms, and management of dry mouth.Results: A total of 884 dentists participated. Knowledge and awareness of dry mouth management varied significantly between countries (p < 0.05). Overall, 34.3% of participants demonstrated good knowledge, while 53.7% had moderate knowledge. Regarding management awareness, 55.4% had good awareness and 35.5% had moderate awareness. A majority (69.2%) showed good knowledge of common signs, symptoms, and consequences of dry mouth. Significant predictors of better knowledge and awareness included the country of practice and attendance at continuing education courses on dry mouth.Conclusion: The findings suggest that dentists in the surveyed countries require improved education on dry mouth and its management. Dental educators and healthcare planners can use this data to design targeted continuing education activities to enhance knowledge and awareness of dry mouth.","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142568222","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}

引用次数: 0

Author's Reply to a Letter to the Editor by Dott. Rohani. 作者对 Dott.Rohani.

IF 2.9 3区医学

Oral diseases Pub Date : 2024-11-03 DOI: 10.1111/odi.15186

Luca Sbricoli, Riccardo Zago, Francesco Cavallin, Edoardo Stellini, Christian Bacci

引用次数: 0

Granuloma Faciale-Like Lesion of the Palate: A Previously Unreported Entity. 腭部面部肉芽肿样病变：一种以前从未报道过的实体瘤

IF 2.9 3区医学

Oral diseases Pub Date : 2024-11-03 DOI: 10.1111/odi.15180

Francesca Magnoli, Alessandro D'Aiuto, Cristina Ciardiello, Fabio Brusamolino, Michele Cerati, Lorenzo Azzi

引用次数: 0

Automated Detection of Oral Malignant Lesions Using Deep Learning: Scoping Review and Meta-Analysis. 利用深度学习自动检测口腔恶性病变：范围综述与元分析》。

IF 2.9 3区医学

Oral diseases Pub Date : 2024-11-03 DOI: 10.1111/odi.15188

Olga Di Fede, Gaetano La Mantia, Marco Parola, Laura Maniscalco, Domenica Matranga, Pietro Tozzo, Giuseppina Campisi, Mario G C A Cimino

{"title":"Automated Detection of Oral Malignant Lesions Using Deep Learning: Scoping Review and Meta-Analysis.","authors":"Olga Di Fede, Gaetano La Mantia, Marco Parola, Laura Maniscalco, Domenica Matranga, Pietro Tozzo, Giuseppina Campisi, Mario G C A Cimino","doi":"10.1111/odi.15188","DOIUrl":"https://doi.org/10.1111/odi.15188","url":null,"abstract":"Objective: Oral diseases, specifically malignant lesions, are serious global health concerns requiring early diagnosis for effective treatment. In recent years, deep learning (DL) has emerged as a powerful tool for the automated detection and classification of oral lesions. This research, by conducting a scoping review and meta-analysis, aims to provide an overview of the progress and achievements in the field of automated detection of oral lesions using DL.Materials and methods: A scoping review was conducted to identify relevant studies published in the last 5 years (2018-2023). A comprehensive search was conducted using several electronic databases, including PubMed, Web of Science, and Scopus. Two reviewers independently assessed the studies for eligibility and extracted data using a standardized form, and a meta-analysis was conducted to synthesize the findings.Results: Fourteen studies utilizing various DL algorithms were identified and included for the detection and classification of oral lesions from clinical images. Among these, three were included in the meta-analysis. The estimated pooled sensitivity and specificity were 0.86 (95% confidence interval [CI] = 0.80-0.91) and 0.67 (95% CI = 0.58-0.75), respectively.Conclusions: The results of meta-analysis indicate that DL algorithms improve the diagnosis of oral lesions. Future research should develop validated algorithms for automated diagnosis.Trial registration: Open Science Framework (https://osf.io/4n8sm).","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142568195","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}

引用次数: 0

Reply to Accurate Risk Prediction Model for Surgical Site Infection After Lower Third Molar Surgery. 回复 "下第三磨牙手术后手术部位感染的准确风险预测模型"。

IF 2.9 3区医学

Oral diseases Pub Date : 2024-11-03 DOI: 10.1111/odi.15184

Akira Yamagami, Katsuya Narumi, Yoshitaka Saito, Ayako Furugen, Shungo Imai, Yoshimasa Kitagawa, Yoichi Ohiro, Ryo Takagi, Yoh Takekuma, Mitsuru Sugawara, Masaki Kobayashi

引用次数: 0

Telediagnosis in Pediatric Stomatology: Impact on Referrals and Healthcare Network. 小儿口腔科的远程诊断：对转诊和医疗网络的影响。

IF 2.9 3区医学

Oral diseases Pub Date : 2024-11-03 DOI: 10.1111/odi.15175

Michelle Roxo-Gonçalves, Pâmela de Souza Kargwanski, Ingrid Silva Santos, Caren Serra Bavaresco, Adriela Azevedo Souza Mariath, Marco Antonio Trevizani Martins, Manoela Domingues Martins, Roberto Nunes Umpierre, Vinicius C Carrard

引用次数: 0

Benzylurea Protects hPDLFs Against LPS-Induced Mitochondrial Dysfunction Through MTCH2. 苄脲通过 MTCH2 保护 hPDLFs 免受 LPS 诱导的线粒体功能障碍的影响

IF 2.9 3区医学

Oral diseases Pub Date : 2024-11-03 DOI: 10.1111/odi.15172

Li Liu, Jing Bai, Jiyun Wang, Junheng Fan, Dong Yin, Hong Chang, Xuancheng Hui, Pengfei Yang

{"title":"Benzylurea Protects hPDLFs Against LPS-Induced Mitochondrial Dysfunction Through MTCH2.","authors":"Li Liu, Jing Bai, Jiyun Wang, Junheng Fan, Dong Yin, Hong Chang, Xuancheng Hui, Pengfei Yang","doi":"10.1111/odi.15172","DOIUrl":"https://doi.org/10.1111/odi.15172","url":null,"abstract":"Objective: The aim of this study is to explore the mechanism of benzylurea in the inflammatory injury of human periodontal ligament fibroblasts (hPDLFs).Methods: An inflammation model of hPDLFs was established using LPS. Nuclear transport of nuclear transcription factor-κB (NF-κB), secretion of cytokines, and the morphology and distribution of F-actin were determined. Mitochondrial function was assessed by measuring mitochondrial membrane potential (MMP), mitochondrial permeability transition pore (mPTP), and reactive oxygen species (ROS) levels. The expression of mitochondrial carrier homolog 2 (MTCH2) and Cytochrome b5 type B (CYB5B) was detected.Results: Benzylurea alleviated the effects of lipopolysaccharide (LPS) on the proliferation and apoptosis of hPDLFs. It reduced the release of inflammatory cytokines and inhibited NF-κB nuclear translocation. Benzylurea improved mitochondrial function by regulating MMP and preventing excessive mPTP opening. Furthermore, LPS elevated the expression of MTCH2 and reduced the expression of CYB5B in hPDLFs. However, these effects can be inhibited by benzylurea. The altered expression of MTCH2 directly affected CYB5B expression, the release of inflammatory cytokines, and the activation of nuclear translocation of NF-κB.Conclusion: CYB5B may act as an effector of MTCH2, with benzylurea enhancing mitochondrial function and protecting hPDLFs from LPS-induced injury through MTCH2.","PeriodicalId":19615,"journal":{"name":"Oral diseases","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142568220","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}

引用次数: 0

Evaluation of Periodontal Viruses in Valvular Heart Disease. 评估瓣膜性心脏病中的牙周病毒

IF 2.9 3区医学

Oral diseases Pub Date : 2024-11-01 DOI: 10.1111/odi.15187

Paavai Ilango, Sanjay M Cherian, B Sivapathasundharam, Arulpari Mahalingam, Ayswarya V Vummidi, Vineela Katam Reddy, K M Cherian

引用次数: 0