Factors Related to Masticatory Rhythm in Patients with Oral Tumors.

Background: Older adults who have undergone surgery for oral tumors are at increased risk of impaired masticatory rhythm. This study investigated the correlations between masticatory rhythm, objective masticatory performance, and subjective masticatory performance as well as factors related to masticatory rhythm. Methods: The participants were 44 adults (24 men, 20 women; age range 42~90 years old) who had undergone maxillectomy, mandibulectomy, or glossectomy and were rehabilitated with a maxillofacial prosthesis. The number of functional contact teeth pairs was confirmed by intraoral examination. Chewing rate, cycle duration, coefficient of variation (CV) for cycle duration (reflecting the stability of masticatory rhythm), and mixing ability were measured simultaneously using a mastication movement rhythm tracking device during gum chewing. Maximum occlusal force was measured using the dental prescale system. Patients' perception of chewing ability was rated using a questionnaire. Results: The Spearman's rank correlation test revealed that mixing ability, patient-rated masticatory scores, cycle duration, CV for cycle duration, and maximum occlusal force showed significant correlations with chewing rate. Multiple linear regression analysis identified mixing ability and the CV for cycle duration as significant predictors of masticatory rhythm. Conclusions: Factors associated with a faster chewing rate were higher mixing ability and masticatory scores, greater maximum occlusal force, shorter cycle duration, and smaller CV for cycle duration. Stable masticatory rhythm and mixing ability are significant predictors of chewing rate. Poor masticatory performance and unstable masticatory rhythm can result in slower chewing and thus a higher risk of inadequate dietary intake.

Predicting maximum occlusal force and tongue pressure using decision tree analysis in patients diagnosed with head and neck tumors.

STATEMENT OF PROBLEM: Preserving and restoring oral functions, especially mastication and swallowing, is important to the quality of life of patients being treated for head and neck tumors. Studies that help predict maximum occlusal force and tongue pressure during prosthetic treatment, necessary for providing comprehensive, appropriate treatment and encouraging patient adherence and confidence are lacking. PURPOSE: The purpose of this clinical study was to develop a decision tree model for predicting maximum occlusal force and tongue pressure in patients diagnosed with head and neck tumors that could help both experienced and less experienced prosthodontists and oral surgeons optimize the treatment plan and support patient compliance and their quality of life. MATERIAL AND METHODS: A total of 80 patients who had been treated for head and neck tumors were enrolled in the study. Their maximum occlusal force was measured using a pressure-sensitive film and tongue pressure using a tongue pressure measurement device. Data, including basic characteristics, were transferred to a comma separated values file, which was then imported into a statistical software package to produce a decision tree. The classification and regression tree method was used to construct a predictive model. RESULTS: The number of occlusal contacts associated with not wearing a prosthesis, flap reconstruction, radiotherapy, chemotherapy, the number of teeth present, age, tumor stage, and tumor type were found to be associated with maximum occlusal force, with a prediction accuracy of 96.3%, area under the receiver operating characteristic curve of 0.99, sensitivity of 97%, and specificity of 94%. The number of occlusal contacts associated with wearing and not wearing a prosthesis, tumor stage, age, radiotherapy, and surgery type were found to be associated with tongue pressure, with a prediction accuracy of 96.3%, area under the receiver operating characteristic curve of 0.97, sensitivity of 97%, and specificity of 93%. CONCLUSIONS: The decision tree model can be an effective tool for the prediction of maximum occlusal force and tongue pressure in patients diagnosed with head and neck tumors, helping both experienced and less experienced prosthodontists and oral surgeons to provide early, appropriate, and necessary treatment before starting prosthetic treatment and helping patients with treatment compliance and communication with medical staff.

Machine Learning Prediction of Tongue Pressure in Elderly Patients with Head and Neck Tumor: A Cross-Sectional Study.

Background: This investigation sought to cross validate the predictors of tongue pressure recovery in elderly patients' post-treatment for head and neck tumors, leveraging advanced machine learning techniques. Methods: By employing logistic regression, support vector regression, random forest, and extreme gradient boosting, the study analyzed an array of variables including patient demographics, surgery types, dental health status, and age, drawn from comprehensive medical records and direct tongue pressure assessments. Results: Among the models, logistic regression emerged as the most effective, demonstrating an accuracy of 0.630 [95% confidence interval (CI): 0.370-0.778], F1 score of 0.688 [95% confidence interval (CI): 0.435-0.853], precision of 0.611 [95% confidence interval (CI): 0.313-0.801], recall of 0.786 [95% confidence interval (CI): 0.413-0.938] and an area under the receiver operating characteristic curve of 0.626 [95% confidence interval (CI): 0.409-0.806]. This model distinctly highlighted the significance of glossectomy (p = 0.039), the presence of functional teeth (p = 0.043), and the patient's age (p = 0.044) as pivotal factors influencing tongue pressure, setting the threshold for statistical significance at p < 0.05. Conclusions: The analysis underscored the critical role of glossectomy, the presence of functional natural teeth, and age as determinants of tongue pressure in logistics regression, with the presence of natural teeth and the tumor site located in the tongue consistently emerging as the key predictors across all computational models employed in this study.

Analysis of the brain transcriptome for substance-associated genes: An update on large-scale genome-wide association studies.

Substance use disorder (SUD) arises from the initiation to subsequent regular, irregular and harmful use of substances such as alcohol, tobacco/nicotine and cannabis. While thousands of genetic variants have been identified from recent large-scale genome-wide association studies (GWAS), understanding their functions in substance involvement and investigating the mechanisms by which they act in the addiction circuits remains challenging. In this study, we re-analysed the brain regional transcriptome data from the most comprehensive postmortem transcriptomic study, with a focus on up- or down-regulation of substance-associated protein-coding genes in the addiction circuit-related brain regions (AddictRegions), including six cortical and 11 subcortical regions. We found that substance-associated genes were overrepresented in AddictRegions. Interestingly, we observed a greater degree of genetic overlap between initiation and use and between use and SUD than between initiation and SUD. Moreover, substance initiation, use and SUD-associated genes tend to shift their enriched AddictRegions from the cortical for initiation and, to a lesser extent, substance use to subcortical regions for SUD (e.g., thalamus, substantia nigra and ventral tegmental area). We also uncovered a pattern of coordinated cortical up-regulation and subcortical down-regulation for the genes associated with tobacco initiation and alcohol use. Moreover, the Gene Ontology terms of glutamate receptor activity and neurotransmitter binding were most significantly overrepresented in AddictRegion-upregulated, substance-associated genes, with the strongest enrichment for those involved in common substance use behaviours. Overall, our analysis provides a resource of AddictRegion-related transcriptomes for studying substance-associated genes and generates intriguing insights into the genetic control of substance initiation, use and SUD.

Pathogenic Nocardia amamiensis infection: A rare case report and literature review.

Background: To date, only six cases of Nocardia amamiensis infection have been reported, including two ocular cases, three pulmonary cases, and one disseminated case. However, no Nocardia amamiensis pulmonary infection cases have been reported in immunocompetent patients without structural pulmonary disease. This study describes a rare case and provides a detailed review of all previous cases. Methods: A pulmonary infection caused by Nocardia amamiensis in a 64-year-old man with low-grade fever, night sweats, and weight loss was reported. All previously reported cases of Nocardia amamiensis infection were searched and reviewed. Results: The pathogen was identified as Nocardia amamiensis using bronchoalveolar lavage fluid (BALF) mNGS, and the current case was successfully treated with trimethoprim-sulfamethoxazole (ST) monotherapy. mNGS and 16S rRNA PCR are standard tests to identify Nocardia.Conclusion: mNGS has high diagnostic performance for Nocardia amamiensis. Further studies are needed to clarify the clinical characteristics and explore more effective treatment protocols for this rare pathogen.

An indirect-direct technique with hot water for fabricating a cast metal crown under an existing removable partial denture.

Fracture or carious lesions in an abutment tooth may require the fabrication of a crown under an existing removable partial denture. Typically, once the crown has been fabricated, the prosthesis will need to be modified or refabricated. However, if the partial denture is in good clinical condition, special techniques may be applied to make the new crown fit the existing prosthesis. This article describes a straightforward indirect-direct technique for fabricating a cast metal crown under an existing removable partial denture with hot water. The technique does not require expertise or any special device and can be performed chairside by general dentists.

Two-piece detachable interlocking mold for low-dose-rate brachytherapy: A dental technique for radiotherapy prosthesis fabrication.

Brachytherapy is a type of radiotherapy used to eradicate malignancies in the head-and-neck region. Early-stage mucosal carcinomas, such as carcinomas of the hard palate and gingival mucosa, can be treated with low-dose-rate brachytherapy by using a radiotherapy prosthesis called a mold. Prosthodontists play a significant role in the design and fabrication of these molds, which deliver therapeutic doses to the primary lesion and protect adjacent tissues from radiation exposure. However, planning and observing ongoing treatment is difficult for radiation oncologists because the shield part cannot be removed from the carrier part or requires an attachment to do so. This article describes a technique for fabricating a 2-piece detachable interlocking mold without any special attachment for low-dose-rate brachytherapy.

Textural thermo-mechanical properties of sweet cherry for postharvest damage analysis.

In this study, the textural thermo-mechanical properties of three sweet cherry varieties were systematically investigated by the puncture test of whole fruit, uniaxial tension of the exocarp, and uniaxial compression test of mesocarp. It was found that the puncture test can not only reflect the shear mechanics of the exocarp in vivo at the tissue level, but it can also characterize the resistance level of fruit to puncture damage at the macroscopic level, particularly when the puncture failure stress is used. The environmental temperature had negative and positive significant effects on the puncture failure stress and the puncture failure deformation of the sweet cherry (p < .05), respectively. The environmental temperature showed a negative significant effect on the failure stress and elastic modulus of the sweet cherry exocarp under tension and mesocarp under compression (p < .05). As the environmental temperature increased from 5 to 40°C, the elastic modulus of the Black pearl, Summit, and Tieton sweet cherry exocarp ranged from 2.28 to 1.72, 2.57 to 1.47, and 1.98 to 1.24 MPa, respectively; and that of mesocarp ranged from 0.33 to 0.21, 0.27 to 0.19, and 0.43 to 0.23 MPa, respectively. The obtained exponential function relationships between environmental temperature and each mechanical parameter are useful for predicting the thermo-mechanical properties of sweet cherry across a 5-40°C continuous temperature range. This study provided systematical thermo-mechanical data for predicting the mechanical damage of sweet cherry in postharvest handling using the thermo-mechanical coupling numerical simulation.