Artificial Intelligence Clinical Trial
Official title:
Knowledge-guided Causal Diagnostic Network for the Detection of Muscle-invasive Bladder Cancer With Single T2-weighted Imaging
NCT number | NCT06362330 |
Other study ID # | 2022-SR-471 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | July 1, 2021 |
Est. completion date | June 30, 2024 |
Verified date | April 2024 |
Source | The First Affiliated Hospital with Nanjing Medical University |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
Accurate preoperative detection of muscle-invasive bladder cancer remains a clinical challenge. The investigators aimed to develop and validate a knowledge-guided causal diagnostic network for the detection of muscle-invasive bladder cancer with multiparametric magnetic resonance imaging(MRI).
Status | Recruiting |
Enrollment | 1000 |
Est. completion date | June 30, 2024 |
Est. primary completion date | May 30, 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | N/A and older |
Eligibility | Inclusion Criteria: - Urothelial carcinoma of the bladder confirmed by final histopathology ?Received a standard contrast-enhanced 3.0T mpMRI before surgery ?All tumors within patients included were resected and received pathologic examination separately Exclusion Criteria: ?Absence of surgical interventions ?With inadequate image quality or with inadequate pathology for analysis |
Country | Name | City | State |
---|---|---|---|
China | Yu-Dong Zhang | Nanjing |
Lead Sponsor | Collaborator |
---|---|
The First Affiliated Hospital with Nanjing Medical University |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Muscle-invasive bladder cancer | The artificial intelligence diagnosis results, based on preoperative MRI, indicated muscle-invasive bladder cancer. Subsequently, this preoperative diagnosis was compared with the postoperative pathological diagnosis to evaluate the diagnostic performance of the artificial intelligence. | one month | |
Primary | Non-muscle-invasive bladder cancer | The artificial intelligence diagnosis results, based on preoperative MRI, indicated non-muscle-invasive bladder cancer. Subsequently, this preoperative diagnosis was compared with the postoperative pathological diagnosis to evaluate the diagnostic performance of the artificial intelligence. | one month |
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