Purpose: To retrospectively analyze the advantages and disadvantages of imaging methods commonly used for diagnosis of gland submandibular diseases.
Methods: One hundred and eighty-two patients with submandibular gland surgery were retrospectively studied to compare the accuracy rate between preoperative imaging and postoperative diagnosis.The data were analyzed using SAS8.0 software package.Fisher's exact test was used to compare the difference between B type ultrasonography, CT and MRI.
Results: Compared with postoperative pathological results,diagnostic accuracy rate of B type ultrasonography, CT and X-ray was 85.34%, 79.66% and 92.31%, respectively. MRI had a higher accuracy rate than B type ultrasonography or CT.(P<0.05).
Conclusion: B type ultrasonography, CT and X-ray examination have misdiagnosis especially in submandibular sialadenitis,which is one of the most important causes of misdiagnosis leading to excision of the glands.MRI has higher application value in diagnosis of submandibular gland diseases.
Download full-text PDF |
Source |
---|
Viruses
January 2025
School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64849, Mexico.
Detection and quantification of disease-related biomarkers in wastewater samples, denominated Wastewater-based Surveillance (WBS), has proven a valuable strategy for studying the prevalence of infectious diseases within populations in a time- and resource-efficient manner, as wastewater samples are representative of all cases within the catchment area, whether they are clinically reported or not. However, analysis and interpretation of WBS datasets for decision-making during public health emergencies, such as the COVID-19 pandemic, remains an area of opportunity. In this article, a database obtained from wastewater sampling at wastewater treatment plants (WWTPs) and university campuses in Monterrey and Mexico City between 2021 and 2022 was used to train simple clustering- and regression-based risk assessment models to allow for informed prevention and control measures in high-affluence facilities, even if working with low-dimensionality datasets and a limited number of observations.
View Article and Find Full Text PDFPlants (Basel)
January 2025
College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Climate change is compelling species to seek refuge at higher elevations and latitudes. While researchers commonly study these migrations using discontinuous elevational transects, this methodology may introduce significant biases into our understanding of species movement. These potential biases could lead to flawed biodiversity conservation policies if left unexamined.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Hubei Key Laboratory of Power Equipment & System Security for Integrated Energy, School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China.
High-voltage (HV) cables are increasingly used in urban power grids, and their safe operation is critical to grid stability. Previous studies have analyzed various defects, including the open circuit in the sheath loop, the flooding in the cross-bonded link box, and the sheath grounding fault. However, there is a paucity of research on the defect of the reverse direction between the inner core and the outer shield of the coaxial cable.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Psychological and Cognitive Sciences, Tsinghua University, Beijing 100084, China.
The objective identification of depression using physiological data has emerged as a significant research focus within the field of psychiatry. The advancement of wearable physiological measurement devices has opened new avenues for the identification of individuals with depression in everyday-life contexts. Compared to other objective measurement methods, wearables offer the potential for continuous, unobtrusive monitoring, which can capture subtle physiological changes indicative of depressive states.
View Article and Find Full Text PDFSensors (Basel)
January 2025
College of Mechanical and Electrical Engineering, Xinjiang Agricultural University, Urumqi 830052, China.
According to the physical characteristics of cotton and the work characteristics of cotton pickers in the field, during the picking process, there is a risk of cotton combustion. The cotton picker working environment is complex, cotton ignition can be hidden, and fire is difficult to detect. Therefore, in this study, we designed an improved algorithm for multi-sensor data fusion; built a cotton picker fire detection system by using infrared temperature sensors, CO sensors, and the upper computer; and proposed a BP neural network model based on improved mutation operator hybrid gray wolf optimizer and particle swarm optimization (MGWO-PSO) algorithm based on the BP neural network model.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!