Trials / Active Not Recruiting
Active Not RecruitingNCT06565923
Study on the Staging and Prognosis Model of Bladder Cancer
Study on the Staging and Prognosis Model of Bladder Cancer Based on Artificial Intelligence and Multimodal Omics Features
- Status
- Active Not Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 200 (estimated)
- Sponsor
- The First Affiliated Hospital with Nanjing Medical University · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
Summary
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.
Conditions
Timeline
- Start date
- 2024-03-18
- Primary completion
- 2025-07-18
- Completion
- 2025-07-18
- First posted
- 2024-08-22
- Last updated
- 2024-08-22
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06565923. Inclusion in this directory is not an endorsement.