Ignite Creation Date:
2024-10-26 @ 3:38 PM
Last Modification Date:
2024-10-26 @ 3:38 PM
Study NCT ID:
NCT06565923
Status:
ACTIVE_NOT_RECRUITING
Last Update Posted:
None
First Post:
2024-08-20
Brief Title:
Study on the Staging and Prognosis Model of Bladder Cancer
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Study on the Staging and Prognosis Model of Bladder Cancer Based on Artificial Intelligence and Multimodal Omics Features
Status:
ACTIVE_NOT_RECRUITING
Status Verified Date:
2024-08
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
2024-SR-386
Brief 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 bloodurine 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
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None