Dixon MRI Imaging Histology for Predicting Postoperative Infection in Posterior Lumbar Fusion for Myasthenia Gravis

NCT06805643 | Not Yet Recruiting

• 1 other identifier: KHLL2023-KY209-GZ2024-12-23
• Study Type: observational
• Target: 1,300
• Locations: 0 countries
• Sites: N/A

Brief Summary

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.

Conditions

Lumbar Vertebrae; Surgical Site Infection; Radiomics

Outcome Measures

Primary Outcomes (1)

• fat fraction

  Two weeks before treatment

Study Arms (2)

postoperative infection

Non-operative infections

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Retrospective multicenter collection of infected/non-infected myasthenia gravis and non-myasthenia gravis patients after posterior lumbar fusion at our institution and at each of the collaborating research institutions.

You may qualify if:

• Male and female patients over 18 years of age.
• 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.

You may not qualify if:

• 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.

Sponsors & Collaborators

• The First People's Hospital of Yunnan: lead

MeSH Terms

Conditions

Surgical Wound Infection

Condition Hierarchy (Ancestors)

Wound Infection; Infections; Postoperative Complications; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Central Study Contacts

Zhisong Liang doc

CONTACT

0871-63648772; 771611474@qq.com

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: RETROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: doc

Study Record Dates

• First Submitted: January 28, 2025
• First Posted: February 3, 2025
• Study Start: February 1, 2025
• Primary Completion: December 31, 2025
• Study Completion: February 28, 2026
• Last Updated: February 3, 2025

Record last verified: 2025-01