- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06220500
Radiomics Analysis Based on MRI to Detect Brucella Spondylitis
January 22, 2024 updated by: The Affiliated Hospital of Inner Mongolia Medical University
Brucella spondylitis, an infectious spinal disease caused by the invasion of Brucella bacteria into the body.
Its diagnosis relies mainly on laboratory and imaging tests.
Due to the limited diagnostic ability of X-ray and CT for Brucella spondylitis, MRI has become the main diagnostic tool.
In recent years, functional magnetic resonance technology has demonstrated great advantages in the diagnosis and therapeutic evaluation of brucellosis spondylitis, which can provide pathophysiologic information about the disease and is also a noninvasive and noninvasive diagnostic tool with a broader application prospect.
Radiomics, an emerging approach, has also shown better diagnostic efficacy for this disease.
Study Overview
Status
Recruiting
Conditions
Detailed Description
The investigators will incorporate 100 confirmed cases of Brucella spondylitis (BS) patients diagnosed at Affiliated Hospital of Inner Mongolia Medical University.
The patients receive routine scan with a Siemens Skyra 3.0T MRI scanner and the investigators collect clinical data and blood test results from the patients.The investigators segment the affected vertebral bodies by ITK-SNAP software on STIR images to create three-dimensional regions of interest.
Then use Onekey software to extract radiomics features from the affected vertebral bodies.
Employed t-tests and Lasso regression to select radiomics features.
Then separately use radiomics features and combining it with clinical information to build random vector machine(SVM) and random forest(RF) models .
All the models are constructed in the training set and their performance are evaluated on the validation set.
Study Type
Observational
Enrollment (Estimated)
100
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Peng fei Qiao, MD
- Phone Number: 15904718239
- Email: 24853170@qq.com
Study Locations
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Inner Mongolia
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Hohhot, Inner Mongolia, China
- Recruiting
- Affiliated Hospital of Inner Mongolia Medical University
-
Contact:
- Peng fei Qiao
- Phone Number: 15904718239
- Email: 24853170@qq.com
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Principal Investigator:
- Peng fei Qiao
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Probability Sample
Study Population
About 100 patients with Brucellosis including patients with brucella spondylitis obviously and patients with obvious waist pain and the conventional MRI showed abnormalities were selected.
Description
Inclusion Criteria:
- Outpatients/Inpatients
- Age 18-70 years
- Meet diagnostic criteria for brucellosis
- Meet symptoms of brucellosis spondylitis
- Voluntarily sign an informed consent form
- Can cooperate with MRI examination
Exclusion Criteria:
- Patients with serious diseases of other systems
- History of malignant tumors of the vertebral body
- History of tuberculosis
- Contraindications to magnetic resonance imaging
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The useful value of radiomics of MRI in BS clinical diagnosis.
Time Frame: December 2024
|
The investigators will validate the results.
The validation and external test cohorts will be used to evaluate the performance of the prediction models.
The micro-avg and macro-avg precision, true positive (TP), true negative (TN), false positive (FP), false negative (FN), accuracy, sensitivity, specificity, and F1 score of different models will be calculated.
Receiver operating characteristic (ROC) curves is going to be used to assess the sensitivity and specificity of the models, and the area under the ROC curve (AUC) was used to describe the discriminative power of the models.
The investigators think radiomics of MRI can provide a reliable basis for early damage in brucellosis spondylitis and provides evidence for early clinical intervention.
|
December 2024
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Study Director: Peng fei Qiao, MD, Affiliated Hospital of Inner Mongolia Medical University
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
January 1, 2023
Primary Completion (Estimated)
August 1, 2024
Study Completion (Estimated)
December 1, 2024
Study Registration Dates
First Submitted
January 11, 2024
First Submitted That Met QC Criteria
January 22, 2024
First Posted (Estimated)
January 24, 2024
Study Record Updates
Last Update Posted (Estimated)
January 24, 2024
Last Update Submitted That Met QC Criteria
January 22, 2024
Last Verified
January 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- AHInnerMongolia-BS
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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