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Clinical Trials/NCT06537037
NCT06537037
Recruiting
Not Applicable

Exploring the Association of Imaging and Tumor Microenvironment in Urologic Cancer Using Radiogenomic Approach(Radiogenomics-Urinary)

Wuhan Union Hospital, China1 site in 1 country150 target enrollmentAugust 2024
ConditionsUrologic Cancer

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Urologic Cancer
Sponsor
Wuhan Union Hospital, China
Enrollment
150
Locations
1
Primary Endpoint
Correlation analysis of sequencing results and tumor radiomic features
Status
Recruiting
Last Updated
last year

Overview

Brief Summary

This is the prospective, observational cohort study (Radiogenomics-Urinary), which aims to explore the relationship between the imaging information of urologic cancer patients, tumor microenvironment and the prognosis of urologic cancer patients.

Registry
clinicaltrials.gov
Start Date
August 2024
End Date
August 2027
Last Updated
last year
Study Type
Observational
Sex
All

Investigators

Sponsor
Wuhan Union Hospital, China
Responsible Party
Sponsor

Eligibility Criteria

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。

Exclusion Criteria

  • Not provided

Outcomes

Primary Outcomes

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.

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.

Secondary Outcomes

  • Constructing a multi-dimensional prognostic prediction model(3 years)
  • Constructing tumor microenvironment prediction model(2 years)

Study Sites (1)

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