Dixon MRI Imaging Histology for Predicting Postoperative Infection in Posterior Lumbar Fusion for Myasthenia Gravis
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Lumbar Vertebrae, Surgical Site Infection, Radiomics. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
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.
Primary outcome measures
- fat fraction [Time frame: Two weeks before treatment]
Eligibility criteria
Inclusion criteria
- Male and female patients over 18 years of age.
- Inclusion of patients with sarcopenia is subject to the definition and diagnostic criteria of the European Consensus on Definition and Diagnosis of Sarcopenia.
- The patient underwent posterior lumbar fusion and had a Dixon MRI scan within 2 weeks prior to surgery.
- Patients were able to understand the purpose and procedures of the study and were willing to sign an informed consent form.
- The patient's clinical consultation and follow-up information was complete.
Exclusion criteria
- The patient has contraindications to MRI, such as implanted metal devices (e.g., pacemakers) or severe claustrophobia.
- Patients with serious other medical conditions, such as heart disease, kidney disease or liver disease, which may affect their post-operative recovery.
- Patients have known immune system disorders or are on immunosuppressive therapy, which may affect their risk of infection.
- The patient has had other spinal surgery within the last 6 months.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Other
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT06805643 · KHLL2023-KY209-GZ2024-12-23