Deep learning-based lightweight model for automated lumbar foraminal stenosis classification: sagittal CT diagnostic performance compared to clinical subspecialists.

Purpose: Magnetic resonance imaging (MRI) is essential for diagnosing lumbar foraminal stenosis (LFS). However, access remains limited in China due to uneven equipment distribution, high costs, and long waiting times. Therefore, this study developed a lightweight deep learning (DL) model using sagittal CT images to classify LFS severity as a potential clinical alternative where MRI is unavailable.

Innovative Glucagon-like Peptide 1 Receptor Agonists: Exploring the Therapeutic Potential of Specific Modified Monomer, Dimer, and Tetramer in Type 2 Diabetes Treatment.

Modified glucagon-like peptide 1 (GLP-1) plays a crucial role in type 2 diabetes (T2D) treatment. The comparative hypoglycemic effect among fatty-acid-modified GLP-1 monomer G20, dimer 2G21, and tetramer 4G18 was evaluated in T2D mice. The polymers exhibited an opposite solubility with their monomers.

Automated Classification of Cervical Spinal Stenosis using Deep Learning on CT Scans.

Study Design: Retrospective study.

Objective: To develop and validate a computed tomography-based deep learning(DL) model for diagnosing cervical spinal stenosis(CSS).

Summary Of Background Data: Although magnetic resonance imaging (MRI) is widely used for diagnosing CSS, its inherent limitations, including prolonged scanning time, limited availability in resource-constrained settings, and contraindications for patients with metallic implants, make computed tomography (CT) a critical alternative in specific clinical scenarios.

Deep learning models for MRI-based clinical decision support in cervical spine degenerative diseases.

Purpose: The purpose of our study is to develop a deep learning (DL) model based on MRI and analyze its consistency with the treatment recommendations for degenerative cervical spine disorders provided by the spine surgeons at our hospital.

Methods: In this study, MRI of patients who were hospitalized for cervical spine degenerative disorders at our hospital from July 2023 to July 2024 were primarily collected. The dataset was divided into a training set, a validation set, and an external validation set.

Enhancing Diagnostic Accuracy of Fresh Vertebral Compression Fractures With Deep Learning Models.

Study Design: Retrospective study.

Objectives: The study aimed to develop and authenticated a deep learning model based on X-ray images to accurately diagnose fresh thoracolumbar vertebral compression fractures.

Summary Of Background Data: In clinical practice, diagnosing fresh vertebral compression fractures often requires MRI.

The clinical impact of serum soluble CD25 levels in children with Langerhans cell histiocytosis.

Objective: Langerhans cell histiocytosis (LCH) is a rare myeloid neoplasm with inflammatory characteristics. This study aims to investigate the correlation between sCD25 levels and clinical characteristics, as well as prognosis, in pediatric LCH.

Methods: Serum sCD25 levels were measured in 370 LCH patients under 18 years old using ELISA assays.

BRAF-V600E mutations in plasma and peripheral blood mononuclear cells correlate with prognosis of pediatric Langerhans cell histiocytosis treated with first-line therapy.

Background: The clinical relevance of BRAF-V600E alleles in peripheral blood mononuclear cells (PBMCs) and the prognostic impact of the mutants in cell-free (cf) and PBMC DNAs of Langerhans cell histiocytosis (LCH) have not been fully clarified in pediatric LCH.

Methods: We retrospectively determined the levels of BRAF-V600E mutation in paired plasma and PBMC samples at the time of diagnosis of LCH. Subsequently, we performed a separate or combined analysis of the clinical and prognostic impact of the mutants.

Development of a Deep-Learning Model for Diagnosing Lumbar Spinal Stenosis Based on CT Images.

Study Design: Retrospective study.

Objectives: This study aimed to develop an initial deep-learning (DL) model based on computerized tomography (CT) scans for diagnosing lumbar spinal stenosis.

Summary Of Background Data: Magnetic resonance imaging is commonly used for diagnosing lumbar spinal stenosis due to its high soft tissue resolution, but CT is more portable, cost-effective, and has wider regional coverage.

[Estimation and Critical Source Area Identification of Non-point Source Pollution Based on Improved Export Coefficient Models: A Case Study of the Upper Beiyun River Basin].

Non-point source pollution(NSP) poses a great threat to water ecosystem health. The quantitative estimation of spatial distribution characteristics and accurate identification of critical source areas(CSAs) of NSP are the basis for its efficient and accurate control. The export coefficient model(ECM) has been widely used to assess NSP, but this model should be improved because it ignores pollutant loss in transport processes.

Complications and radiographic changes after implantation of interspinous process devices: average eight-year follow-up.

Purpose: This study aims to evaluate complications, clinical outcomes, and radiographic results following Coflex implantation.

Methods: We retrospectively studied 66 patients who had decompressive surgery combined with Coflex implantation to treat lumbar spinal stenosis. All imaging data were collected and examined for imaging changes.

[Effects of Green, Blue, and Blue-green Roofs on Runoff Quality].

Roofs occupy a great proportion of urban impervious surfaces, and the implementation of eco-roof construction in urban areas is beneficial to alleviate the ecological and environmental problems caused by rapid urbanization. In this study, different eco-roofs (i.e.

Superior pancreatic lymphadenectomy with portal vein priority posterior common hepatic artery approach in laparoscopic radical gastrectomy.

Background: D2 lymph node dissection for advanced gastric cancer is advocated, and station 8p lymph node should be considered in selected patients, which is, however, technically difficult.

Aim: To introduce a new and easy-to-perform procedure for dissection of the lymph nodes superior to the pancreas.

Methods: A series of patients who underwent laparoscopic gastrectomy for gastric cancer were retrospectively included with utilization of a new procedure for superior pancreatic lymphadenectomy (LND) with portal vein priority the posterior common hepatic artery approach (SPLD-PPPH) based on a newly defined portal triangle.

[Analysis of Spatial-Temporal Variation Characteristics of Potential Non-point Source Pollution Risks in the Upper Beiyun River Basin Using Different Weighting Methods].

Non-point source pollution has become an important factor affecting the aquatic ecological environment and human health, and the analysis of spatial-temporal variations in non-point source pollution risks is an important prerequisite for pollution control. Based on land-use and land-cover data from 1980 to 2020, the potential non-point source pollution index (PNPI) model was applied in the upper Beiyun River Basin using different weighting methods. The results showed that:① The potential risk of non-point source pollution is high in the southeast and low in the northwest of the basin.

[Effect of glucose analogs on bofilm and expressions of related genes in Staphylococcus epidermidis].

Staphylococcus epidermidis, an opportunistic human pathogen, has become the most important cause of nosocomial infections in recent years. Its infection is mainly due to the ability to form biofilm on indwelling medical devices. To investigate the response mechanism of S.

[Effect of glucose on biofilm and the gene ica expression in Staphylococcus epidermidis with different biofilm-forming capability].

The infection of S. epidermidis, an opportunistic human pathogen, depends on biofilm formation, and biofilm formation is closely related to environment. Researches in the thesis focused on two strains of S.

Genome-based analysis of virulence genes in a non-biofilm-forming Staphylococcus epidermidis strain (ATCC 12228).

Staphylococcus epidermidis strains are diverse in their pathogenicity; some are invasive and cause serious nosocomial infections, whereas others are non-pathogenic commensal organisms. To analyse the implications of different virulence factors in Staphylococcus epidermidis infections, the complete genome of Staphylococcus epidermidis strain ATCC 12228, a non-biofilm forming, non-infection associated strain used for detection of residual antibiotics in food products, was sequenced. This strain showed low virulence by mouse and rat experimental infections.