Clinical trials

This is a retrospectively observational study. The goal of this observational study is to analyze the risk factors of paraspinal muscles associated with the occurrence of spondylolisthesis in patients with degenerative lumbar spondylolisthesis(DLS) and to construct a predictive model. The main question it aims to answer is: Which paraspinal muscle changes are risk factors for DLS? We will collect the information of patients who have undergone lumbar MRI in our hospital and have been diagnosed with back pain ( including spondylolisthesis or no spondylolisthesis) during the period from 2022 to 2024.The collected data included gender, age, body mass index (BMI), diabetes, hypertension, occupation and imaging parameters. We will then retrospectively analyze the risk factors associated with lumbar spondylolisthesis.

Synopsis：The brain glymphatic system is a newly discovered anatomical system for removing waste products and maintaining homeostasis in the brain, and its damage is closely related to a variety of neurological diseases. The diffusion tensor image-analysis along the perivascular space (DTI-ALPS) technique has the advantage of being non-invasive and has been shown to be useful for assessing brain glymphatic system function. The purpose of this study is to use DTI-ALPS technology to evaluate the functional changes of the brain glymphatic system in patients with primary Parkinson's disease at different stages of the disease . Impact:DTI-ALPS technology is a potential imaging indicator for early diagnosis and monitoring of Parkinson's disease progression, and has definite value for clinical application. Purpose :the functional changes of brain glymphatic system in patients with Parkinson's disease at different stages of the disease will be investigated based on DTI-ALPS technology Methods:The clinical data of 100 patients with primary Parkinson's disease will be admitted to the First People's Hospital of Yunnan Province from March 2025 to April 2026 wil be prospectively collected, and they will be divided into two groups: 50 patients with early Parkinson's disease and 50 patients with late Parkinson's disease according to the Hoehn-Yahr Scale , and 50 healthy volunteers (HC) matched with them will be collected. All subjects will be scanned with a 3.0 T MRI system（MAGNETOM Prisma,Siemens Healthcare,Erlangen,Germany）.The scanning sequences included conventional MRI noncontrast and DTI sequences, which acquired images of b=0 s/mm² and b=1000 s/mm²4. FSL and ITK-SANP software will be used to delineate circular ROIs with voxel diameters of 5 mm in the projection fiber and contact fiber regions at the bilateral ventricular body level of the anisotropy score map, and the diffusivity of each fiber on the x, y, and z axes will be measured, and the DTI-ALPS index value will be calculated, and the one-way ANOVA wii be performed by IBM SPSS statistic 25.0 software, and the differences in the mean ALPS values of the left brain, right brain, and both sides of the subjects in the three groups will be compared. The correlation between the index and clinical data such as age, course of disease, Mini-Mental State Examination Score (MMSE), Montreal Cognitive Assessment Scale, Quality of Life Questionnaire for Patients with Parkinson's Disease (PDQ-39), Parkinson's Disease Non-motor Symptom Evaluation Scale (NMSS), Hamilton Depression Rating Scale score(HAMD), and Unified Parkinson's Rating Scale score (URPDS)will be analyzed.

Sarcopenia is an age-related condition that manifests itself as a persistent decrease in muscle mass and function, which may lead to decreased physical function, increased risk of disease, and reduced quality of life. In surgical patients, sarcopenia has been shown to be associated with increased postoperative complications, prolonged hospitalization, and decreased survival. In patients undergoing lumbar fusion, the presence of sarcopenia may increase the risk of postoperative infection.Lumbar fusion is a common procedure to treat lumbar spine disorders such as lumbar disc herniation, lumbar spondylolisthesis, or lumbar spinal stenosis. However, this procedure is associated with a high rate of complications, especially postoperative infections, which can lead to reoperation, prolonged hospitalization, and even affect patient survival. In recent years, more and more studies have found a significant association between sarcopenia and postoperative infections after lumbar fusion surgery.Imagingomics belongs to a branch of machine learning, which is the process of acquiring images from various imaging devices such as CT, MRI and ultrasound, outlining the region of interest through image segmentation, extracting the features of the image within the region of interest, downscaling the features, and finally building an imagingomics model. MRI Imagingomics, utilizing its rich data information, has shown great potential for application in several medical fields. Among them, the accuracy of Dixon MRI imaging histology in muscle mass and texture assessment makes it particularly important in predicting postoperative infections.Based on this, it is reasonable to believe that Dixon MRI imaging histology can be a powerful tool to help us predict a patient's risk of postoperative infection.