Hanqing Lin, Yu Heng, Xiaoke Zhu, Tian Wang, Lei Tao
{"title":"Impact of radiotherapy on peripheral T lymphocytes in hypopharyngeal squamous cell carcinoma.","authors":"Hanqing Lin, Yu Heng, Xiaoke Zhu, Tian Wang, Lei Tao","doi":"10.1016/j.oooo.2024.10.080","DOIUrl":"https://doi.org/10.1016/j.oooo.2024.10.080","url":null,"abstract":"<p><strong>Background: </strong>To investigate the impact of radiotherapy (RT) on the distribution and function of peripheral CD8<sup>+</sup> T lymphocytes in patients with hypopharyngeal squamous cell carcinoma (HPSCC).</p><p><strong>Methods: </strong>A total of 105 HPSCC patients who underwent definitive RT were enrolled. Baseline levels of peripheral immune cells were obtained, and their alteration during RT was evaluated. Flow cytometry was used to analyze T-cell distribution, cytokine secretion, and CD8<sup>+</sup> T lymphocyte proliferation capacity.</p><p><strong>Results: </strong>Lymphocyte count significantly decreased following radiation and remained in a low level after 1 year of RT. CD3<sup>+</sup> T lymphocyte counts decreased significantly, and the CD4<sup>+</sup>/CD8<sup>+</sup> ratio increased in HPSCC patients following radiation. The secretion of IFN-γ from peripheral CD8+ T lymphocytes was significantly reduced after irradiation, while the secretion of TNF-α and perforin did not change significantly. Furthermore, the proliferation capacity of peripheral CD8<sup>+</sup> T lymphocytes was decreased following RT.</p><p><strong>Conclusions: </strong>RT significantly decreased the number of peripheral T lymphocytes and impaired the secretory function and proliferation ability of CD8<sup>+</sup> T lymphocytes in HPSCC patients. These findings provide insight into the mechanisms underlying the therapeutic effects of RT on HPSCC and have implications for optimizing treatment strategies.</p>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142630966","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}
{"title":"An ex vivo comparison of near-infrared Raman spectroscopy and cone beam computed tomography in the assessment of bone, dental hard tissues, and bone graft materials.","authors":"Anusha Vaddi, Aditya Tadinada, Alix Deymier","doi":"10.1016/j.oooo.2024.10.076","DOIUrl":"https://doi.org/10.1016/j.oooo.2024.10.076","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the potential of near-infrared Raman spectroscopy (RS) in distinguishing between various types of bone, dental hard tissues, and bone graft materials, and to determine the correlation between pixel intensity values (PIVs) in cone beam computed tomography (CBCT) and Raman values.</p><p><strong>Study design: </strong>A thinly sliced section of mandible was utilized to evaluate cancellous and cortical bone. Extracted human teeth were used to prepare the enamel and dentin samples. Bone graft materials were tested by compacting them into edentulous tooth sockets in a dry human mandible. CBCT and RS scans of the samples were performed. The following RS outcomes were evaluated: 960 cm<sup>-1</sup> phosphate peak location and width, carbonate:phosphate ratio, mineral:matrix ratio, and collagen coiling ratio. One-way ANOVA and primary component analysis (PCA) statistics were used to assess RS outcomes.</p><p><strong>Results: </strong>The 960 cm<sup>-1</sup> phosphate peak location was able to effectively differentiate between various tissues and graft materials. PCA of the spectra successfully differentiated native bone from graft materials, underscoring the tissue characterization capability of RS. Varied correlations between RS outcomes and CBCT PIVs were observed.</p><p><strong>Conclusions: </strong>Various parameters of RS can differentiate between cancellous bone, cortical bone, dental hard tissues, and bone graft materials. The varied correlations between Raman parameters and CBCT PIVs warrant further research to clarify the nature of these relationships.</p>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142741066","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}
{"title":"Harnessing machine learning technique to authenticate differentially expressed genes in oral squamous cell carcinoma.","authors":"Amisha Patel, Saswati Mahapatra, Ashok Kumar Bishoyi, Abhishek Sharma, Abhijit Makwana, Tripti Swarnkar, Anubha Gupta, Prasan Kumar Sahoo, Sejal Shah","doi":"10.1016/j.oooo.2024.10.075","DOIUrl":"https://doi.org/10.1016/j.oooo.2024.10.075","url":null,"abstract":"<p><strong>Objective: </strong>Advancements in early detection of the disease, prognosis and the development of therapeutic strategies necessitate tumor-specific biomarkers. Despite continuous efforts, no molecular marker has been proven to be an effective therapeutic tool for the early detection of cancer. The study aims to determine diagnostic and prognostic signature genes that may be involved in cancer pathology and hence, may serve as molecular markers.</p><p><strong>Study design: </strong>Eight candidate genes were selected based on our prior study of transcriptomic sequencing and validated in 100 matched pair samples of oral squamous cell carcinoma (OSCC). We further utilized machine learning approaches and examined the diagnostic presentation and predictive ability of the OSCC genes retrieved from publicly available The Cancer Genome Atlas (TCGA) database and compared with our results.</p><p><strong>Results: </strong>We conducted qPCR analysis to validate the expression of each gene and observed that each gene was present in the majority of OSCC samples. The predictive ability of selected genes was stable (with an average accuracy of 84%) across different classifiers. However, on validation with our dataset, it showed 75% accuracy, which might be because of the demographic variation of the samples.</p><p><strong>Conclusions: </strong>The present research outlines cancer-associated molecular biomarkers that might eventually contribute to an enhanced prognosis of cancer patient by identifying novel therapeutic targets.</p>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142591818","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}
{"title":"Large language model assistance in diagnosing oral squamous cell carcinoma: integrating clinical and histopathological features.","authors":"Lucas Lacerda de Souza, Pablo Agustin Vargas","doi":"10.1016/j.oooo.2024.09.013","DOIUrl":"https://doi.org/10.1016/j.oooo.2024.09.013","url":null,"abstract":"","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142693864","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}
Briana J Burris, Chloe Zana, Temitope Oshilaja, Arka Gupta, David A Keith
{"title":"Medical malpractice court cases involving treatment of the temporomandibular joint: analysis of prevalence, risk factors, and court rulings.","authors":"Briana J Burris, Chloe Zana, Temitope Oshilaja, Arka Gupta, David A Keith","doi":"10.1016/j.oooo.2024.09.012","DOIUrl":"https://doi.org/10.1016/j.oooo.2024.09.012","url":null,"abstract":"<p><strong>Objective: </strong>Limited research exists regarding malpractice in dentistry. Temporomandibular joint disorders (TMDs) include intra- and extra-articular conditions that are managed by general dentists, orofacial pain specialists, and oral and maxillofacial surgeons. In this study, we investigate the rate of malpractice court trials involving treatment of TMD by these specialists.</p><p><strong>Study design: </strong>A retrospective review of malpractice court cases related to TMD between 1960 and 2022 was conducted via search of the Westlaw database. Cases were excluded when: (1) the defendant was not a dental specialist, (2) the claim was unrelated to TMD, and (3) the case did not proceed to court trial. Descriptive statistics were performed.</p><p><strong>Results: </strong>Fifty-seven cases met the inclusion criteria. Most cases (81%, n = 46) ruled in favor of the defendant (health care provider) and 18% (n = 10) ruled in favor of the plaintiff (patient). The most common reason for a ruling in favor of the defendant was expiration of the statute of limitations (n = 19).</p><p><strong>Conclusions: </strong>Most court cases with claims of malpractice after treatment of TMD ruled in favor of the defendant. Most frequently, actions by the defendant were viewed as: within the limits of the standard of care or lacked sufficient evidence to justify litigation against the provider. (Oral Surg Oral Med Oral Pathol Oral Radiol YEAR;VOL:page range).</p>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865677","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}
{"title":"Information for Readers","authors":"","doi":"10.1016/S2212-4403(24)00492-9","DOIUrl":"10.1016/S2212-4403(24)00492-9","url":null,"abstract":"","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"138 5","pages":"Page A6"},"PeriodicalIF":2.0,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428635","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}
{"title":"Use of Biological Information in the Diagnostic Process: A Glance into the Future of Dentistry.","authors":"Katherine France, Craig S Miller","doi":"10.1016/j.oooo.2024.09.009","DOIUrl":"https://doi.org/10.1016/j.oooo.2024.09.009","url":null,"abstract":"","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548482","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}
{"title":"Evaluation of mandibular bone structure changes in phenylketonuria patients through fractal analysis and radiomorphometric indices.","authors":"Hazal Duyan Yüksel, Damla Soydan Çabuk, Ali İhsan Çabuk, Burcu Evlice","doi":"10.1016/j.oooo.2024.09.011","DOIUrl":"https://doi.org/10.1016/j.oooo.2024.09.011","url":null,"abstract":"<p><strong>Objectives: </strong>The aim of this study was to evaluate the effect of phenylketonuria (PKU) on mandibular bone structure by comparing the bone of PKU patients with healthy controls using fractal analysis (FA) and the radiomorphometric indices of mandibular cortical width (MCW) and mandibular cortical index (MCI).</p><p><strong>Study design: </strong>In total, 32 patients with PKU were analyzed and compared with the control participants. Regions of interest in panoramic radiographs were selected and the fractal dimension (FD) obtained from FA was calculated. MCW was defined as the cortical thickness of the inferior border of the mandible at the level of the mental foramen. MCI classified the endosteal edge of the mandibular cortex as C1: straight and sharp, C2: the presence lacunar resorption spaces, and C3: distinctly porous and severely eroded. The significance level was P < .05.</p><p><strong>Results: </strong>All FD and MCW values were significantly lower in the PKU patients. The prevalence of C1 was significantly lower and prevalence of C2 was significantly higher in the PKU group.</p><p><strong>Conclusions: </strong>The differences in FD and radiomorphometric indices between patients with PKU and healthy controls may indicate a potential impact of PKU on mandibular bone structure.</p>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548480","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}
{"title":"Role of artificial intelligence in treatment planning and outcome prediction of jaw corrective surgeries by using 3-D imaging-a systematic review.","authors":"Hariram Sankar, Ragavi Alagarsamy, Babu Lal, Shailendra Singh Rana, Ajoy Roychoudhury, Amit Agrawal, Syrpailyne Wankhar","doi":"10.1016/j.oooo.2024.09.010","DOIUrl":"https://doi.org/10.1016/j.oooo.2024.09.010","url":null,"abstract":"<p><strong>Objective: </strong>Artificial intelligence (AI) has been increasingly utilized in diagnosis of skeletal deformities, while its role in treatment planning and outcome prediction of jaw corrective surgeries with 3-dimensional (3D) imaging remains underexplored.</p><p><strong>Methods: </strong>The comprehensive search was done in PubMed, Google scholar, Semantic scholar and Cochrane Library between January 2000 and May 2024. Inclusion criteria encompassed studies on AI applications in treatment planning and outcome prediction for jaw corrective surgeries using 3D imaging. Data extracted included study details, AI algorithms, and performance metrics. Modified PROBAST tool was used to assess the risk of bias (ROB).</p><p><strong>Results: </strong>Fourteen studies were included. 11 studies used deep learning algorithms, and 3 employed machine learning on CT data. In treatment planning the prediction error was 0.292 to 3.32 mm (N = 5), and Dice score was 92.24 to 96% (N = 2). Accuracy of outcome predictions varied from 85.7% to 99.98% (N = 2). ROB was low in most of the included studies. A meta-analysis was not conducted due to significant heterogeneity and insufficient data reporting in the included studies.</p><p><strong>Conclusion: </strong>3D imaging-based AI models in treatment planning and outcome prediction for jaw corrective surgeries show promise but remain at proof-of-concept. Further, prospective multicentric studies are needed to validate these findings.</p>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142865635","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}