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NCT06565923: 2024-SR-386

Study on the Staging and Prognosis Model of Bladder Cancer

Active, enrolled Last updated 22 August 2024
What this trial tests

trial in Bladder Cancer in 200 participants. Participants enrolled and being followed up; not accepting new ones.

Timeline
18 March 2024
Primary endpoint
18 July 2025
18 July 2025

Quick facts

Lead sponsorThe First Affiliated Hospital with Nanjing Medical University
StatusActive, enrolled
Study typeOBSERVATIONAL
Enrollment200
Start date18 March 2024
Primary completion18 July 2025
Estimated completion18 July 2025
Sites1 location across China

Conditions studied

Sponsor

The First Affiliated Hospital with Nanjing Medical University

Who can join

18 and older, any sex, with Bladder Cancer. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Firstly, we retrospectively gathered the patient information who compliant with the criteria from 2012 to 2023, encompassing basic information, clinical information, along with MRI images, blood/urine samples, and tissue samples, for conducting relevant analyses of radiomics. Subsequently, based on artificial intelligence technology, deep learning and machine learning models were established on the basis of MRI radiomics and pathological histomics. Ultimately, the following research aims were accomplished: 1. Primary research objective: To explore the role of artificial intelligence and multimodal omics features in the staging and prognosis monitoring of bladder cancer. 2. Secondary objective: To explore the correlations among radiomics, case histomics, and test omics.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Bladder Cancer

Currently open trials in the same condition.

Other The First Affiliated Hospital with Nanjing Medical University trials

Trials by the same sponsor.

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Data sources for this page

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