Computed tomography/magnetic resonance imaging for mandibular boundary invasion of oral squamous cell carcinoma assessment.

BACKGROUND: The range of mandibular invasion by a tumour needs to be determined accurately to minimize unnecessary damage to the mandible. This study aimed to compare tumour boundary lines on computed tomography/magnetic resonance (CT/MR) images with those from pathological findings during the preoperative assessment of mandibular invasion by oral squamous cell carcinoma (OSCC). By comparing the methods, the potential of CT/MR for this application could be further elucidated. METHODS: Eight patients with OSCC were imaged with CT/MR, mandibular specimens were collected, and the material site was measured. Haematoxylin-eosin staining was used for histopathological assessment. The presence and boundaries of bone invasion were evaluated. The CT/MR and histopathological boundaries of bone invasion were delineated and merged to compare and calculate the deviation of CT/MR and histopathological boundaries using the Fréchet distance. RESULTS: The mean Fréchet distance between the CT and pathological tumour boundaries was 2.69 mm (standard error 0.46 mm), with a minimum of 1.18 mm, maximum of 3.64 mm, median of 3.10 mm, and 95% confidence interval of 1.40-3.97 mm. The mean Fréchet distance between the tumour boundaries on the MR and pathological images was 3.07 mm (standard error 0.56 mm), with a minimum of 1.53 mm, maximum of 4.74 mm, median of 2.90 mm, and 95% confidence interval of 1.53-4.61 mm. CONCLUSIONS: CT/MR imaging can provide an effective preoperative assessment of mandibular invasion of OSCC. Pathology images can be positioned on CT/MR scans with the help of computer software to improve the accuracy of the findings. The introduction of the Fréchet distance to compare tumour boundary lines is conducive to computer image diagnosis of tumour invasion of jaw boundaries.

Assessing the impact of ultra-thin diamond nanothreads on the glass transition temperature of a bituminous binder.

Low-temperature cracking and rutting are the most destructive problems of bitumen that hinder the application of high-performance bitumen engineering, which is dependent on its glass transition temperature (Tg). Through in silico studies, this work has systematically investigated the Tg of a bituminous binder with the addition of diamond nanothread (DNT) fillers with varying filler content, alignment, distribution, and functional groups. In general, the glass transition phenomenon of the bitumen is determined by the mobility of its constituent molecules. Tg is found to increase gradually with the increase in the weight percentage of DNT and then decreases when the weight percentage exceeds 5.05 wt%. The enhancement effect on Tg is weakened when DNTs are distributed vertically or functionalized with functional groups. Specifically, DNT fillers induce inhomogeneity, which promotes the motion of small molecules while hindering the motion of large molecules. The aggregation of DNTs and the molecular environment in the vicinity of DNTs directly affect Tg. In summary, aggregation and adhesion are the dominant mechanisms affecting the mobility of the constituent molecules in the DNT/bitumen system and thus its glass transition temperature. This work provides in-depth insights into the underlying mechanisms for the glass transition of a bituminous binder, which could serve as theoretical guidance for tuning the low-temperature performance of the bituminous binder.

Machine learning-based radiomics for predicting BRAF-V600E mutations in ameloblastoma.

Background: Ameloblastoma is a locally invasive and aggressive epithelial odontogenic neoplasm. The BRAF-V600E gene mutation is a prevalent genetic alteration found in this tumor and is considered to have a crucial role in its pathogenesis. The objective of this study is to develop and validate a radiomics-based machine learning method for the identification of BRAF-V600E gene mutations in ameloblastoma patients. Methods: In this retrospective study, data from 103 patients diagnosed with ameloblastoma who underwent BRAF-V600E mutation testing were collected. Of these patients, 72 were included in the training cohort, while 31 were included in the validation cohort. To address class imbalance, synthetic minority over-sampling technique (SMOTE) is applied in our study. Radiomics features were extracted from preprocessed CT images, and the most relevant features, including both radiomics and clinical data, were selected for analysis. Machine learning methods were utilized to construct models. The performance of these models in distinguishing between patients with and without BRAF-V600E gene mutations was evaluated using the receiver operating characteristic (ROC) curve. Results: When the analysis was based on radiomics signature, Random Forest performed better than the others, with the area under the ROC curve (AUC) of 0.87 (95%CI, 0.68-1.00). The performance of XGBoost model is slightly lower than that of Random Forest, and its AUC is 0.83 (95% CI, 0.60-1.00). The nomogram evident that among younger women, the affected region primarily lies within the mandible, and patients with larger tumor diameters exhibit a heightened risk. Additionally, patients with higher radiomics signature scores are more susceptible to the BRAF-V600E gene mutations. Conclusions: Our study presents a comprehensive radiomics-based machine learning model using five different methods to accurately detect BRAF-V600E gene mutations in patients diagnosed with ameloblastoma. The Random Forest model's high predictive performance, with AUC of 0.87, demonstrates its potential for facilitating a convenient and cost-effective way of identifying patients with the mutation without the need for invasive tumor sampling for molecular testing. This non-invasive approach has the potential to guide preoperative or postoperative drug treatment for affected individuals, thereby improving outcomes.

Recent Progress in Sensing Technology Based on Triboelectric Nanogenerators in Dynamic Behaviors.

Under the trend of the rapid development of the internet of things (IoT), sensing for dynamic behaviors is widely needed in many fields such as traffic management, industrial production, medical treatment, building health monitoring, etc. Due to the feature of power supply independence and excellent working performance under a low-frequency environment, triboelectric nanogenerators (TENGs) as sensors are attracting more and more attention. In this paper, a comprehensive review focusing on the recent advance of TENGs as sensors for dynamic behaviors is conducted. The structure and material are two major factors affecting the performance of sensors. Different structure designs are proposed to make the sensor suitable for different sensing occasions and improve the working performance of the sensors. As for materials, new materials with stronger abilities to gain or lose electrons are fabricated to obtain higher surface charge density. Improving the surface roughness of material by surface engineering techniques is another strategy to improve the output performance of TENG. Based on the advancement of TENG structures and materials, plenty of applications of TENG-based sensors have been developed such as city traffic management, human-computer interaction, health monitoring of infrastructure, etc. It is believed that TENG-based sensors will be gradually commercialized and become the mainstream sensors for dynamic sensing.

Efficacy of acupuncture combined with traditional Chinese medicine on chronic prostatitis: A protocol for systematic review and meta-analysis.

BACKGROUND: Chronic prostatitis is a common andrological disease, which brings many troubles to the lives of middle-aged and elderly male patients. With the increase of modern life pressure, the incidence of chronic prostatitis tends to younger, but its etiology and pathogenesis are not fully elucidated. Which seriously affects men's health? Relevant studies have shown that acupuncture combined with traditional Chinese medicine (TCM) has a good effect on the treatment of chronic prostatitis compared with conventional western medicine; however, there is no consistent conclusion at present. The main purpose of this study is to explore whether acupuncture combined with TCM is effective in treating chronic prostatitis. METHODS: The collection of randomized controlled trials related to acupuncture and TCM for chronic prostatitis will search the following electronic databases, including: PubMed, Web of Science, the Cochrane Database, EMBASE, Chinese National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, Weipu. There are 8 electronic databases including the VIP Chinese Science and Technology Periodical Database and the China Biomedical Literature Database. The cure rate and total effective rate are the main indicators, and the recurrence rate and adverse events are the secondary indicators. Meta-analysis using RevMan5.4 provided by Cochrane Collaboration. RESULTS: This study will provide the latest evidence of efficacy for the acupuncture combined with TCM in the treatment of chronic prostatitis. CONCLUSION: The effectiveness of acupuncture combined with TCM for chronic prostatitis will be evaluated. UNIQUE INPLASY NUMBER: INPLASY202130083.

Adverse outcomes of proton pump inhibitors in chronic liver disease: a systematic review and meta-analysis.

BACKGROUND AND AIM: Proton pump inhibitors (PPIs) are among the most commonly prescribed medications in the US, but their safety in cirrhosis has recently been questioned. We performed a meta-analysis of observational studies to evaluate the impact of PPIs on adverse clinical outcomes in the setting of chronic liver disease (CLD). METHODS: We searched several databases from inception to 26 May 2019 to identify comparative studies evaluating the effect of PPIs in CLD. Outcomes of interest were the associations between PPIs use and the occurrence of hepatic encephalopathy, hepatocellular carcinoma, spontaneous bacterial peritonitis, bacterial infections, and mortality in CLD. We performed a meta-analysis in accordance to the PRISMA guidelines. RESULTS: Of 14,662 papers evaluated, 47 studies with 169,806 participants were identified. Of these, 35 were cohort studies and 12 were case-control studies. The pooled odds ratio (OR) for hepatic encephalopathy in individuals with PPI users, compared with those without, was 2.31 (95% CI 1.63-3.28). The pooled OR for spontaneous bacterial peritonitis in individuals with PPI users was significantly higher compared with non-PPI users (OR = 1.72, 95% CI 1.42-2.09). Results were also consistent with a higher risk of the bacterial infections and mortality in PPI users compared with non-PPI users. For hepatocellular carcinoma, the final conclusion cannot be drawn because of the limited number of studies. CONCLUSIONS: This study identifies a significant relationship between PPIs therapies and several specific adverse clinical outcomes in CLD. However, these results should be carefully considered given the potential selection bias and unmeasured confounding variables in observational studies, it may be reasonable to re-evaluate the need for PPIs in patients with CLD.

Experimental Study on Corrosion and Mechanical Behavior of Main Cable Wires Considering the Effect of Strain.

To study the corrosion degradation of cable wires in a bridge's life, this research work created an accelerated corrosion test device, which sought to identify an optimal constant strain level. An accelerated corrosion test was carried out and the corroded specimens were scanned using super depth 3D microscopy technology. Mass loss and minimum cross-sectional diameter was measured to understand the degradation characteristics of cable wires at variable strains and corrosion time. The variation of elastic modulus, yield load, and ultimate load of corroded wires, subjected to a tensile test, were analyzed. The experimental results illustrate that the average mass loss ratio of the corroded cable wires increases nonlinearly as corrosion time increases. The higher the stress level, the more serious the corrosion level. The minimum cross-sectional diameter has good correlation with corrosion time and stress level. The elastic modulus of wires does not change significantly with the increase of corrosion time. Yield load and ultimate load decreases with the increase of strain level, and the rates of decline under different strains are nonlinear.