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

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorUnion Hospital, Tongji Medical College, Huazhong University of Science and Technology

About this trial

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.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

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.

Disqualifiers

Poor image quality;

Incomplete clinical data or loss of follow-up;

Presence of another primary malignancy other than urologic cancer;

Unclear pathological diagnosis。

Trial population

Patients treated for urologic cancer

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

Not listed

Trial groups

No trial groups listed

Trial outcomes

Primary outcomes

1

Correlation analysis of sequencing results and body composition

Conducting correlation analysis between body composition and results of multi-omics sequencing.

Time frame
0.5 year
2

Correlation analysis of sequencing results and tumor radiomic features

Conducting correlation analysis between radiomic features and results of multi-omics sequencing.

Time frame
0.5 year

Secondary outcomes

1

Constructing tumor microenvironment prediction model

Constructing radiomic model to predict tumor microenvironment. The indicator is the area under the curve (AUC) of the prediction model

Time frame
2 years
2

Constructing a multi-dimensional prognostic prediction model

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.

Time frame
3 years

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.