Exploring the Association of Imaging and Tumor Microenvironment in Urologic Cancer Using Radiogenomic Approach(Radiogenomics-Urinary)
Study Overview
Status
Status
Conditions
Conditions
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Lian Yang
- Phone Number: 18986273791
- Email: yanglian@hust.edu.cn
Study Locations
-
-
Hubei
-
Wuhan, Hubei, China, 430000
- Recruiting
- Union Hospital,Tongji Medical College,Huazhong University of Science and Technology
-
Contact:
- Lian Yang
- Phone Number: 18986273791
- Email: yanglian@hust.edu.cn
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients treated for urologic cancer in Wuhan Union Hospital from August 2024 to August 2027;
- Aged > 18 years old;
- At least one CT scan or MRI scan before treatment;
- Tissue biopsy pathological examination confirmed the diagnosis of the above tumors.
Exclusion criteria:
- Poor image quality;
- Incomplete clinical data or loss of follow-up;
- Presence of another primary malignancy other than urologic cancer;
- Unclear pathological diagnosis。
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Correlation analysis of sequencing results and body composition
Time Frame: 0.5 year
|
Conducting correlation analysis between body composition and results of multi-omics sequencing.
|
0.5 year
|
|
Correlation analysis of sequencing results and tumor radiomic features
Time Frame: 0.5 year
|
Conducting correlation analysis between radiomic features and results of multi-omics sequencing.
|
0.5 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Constructing tumor microenvironment prediction model
Time Frame: 2 years
|
Constructing radiomic model to predict tumor microenvironment.
The indicator is the area under the curve (AUC) of the prediction model
|
2 years
|
|
Constructing a multi-dimensional prognostic prediction model
Time Frame: 3 years
|
A high-dimensional model was constructed to predict the prognosis of patients through multi-omics sequencing data, body composition, and tumor radiomic features.
The indicator is the area under the curve (AUC) of the prediction model.
|
3 years
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimated)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- S187
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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