Deep Learning Radiomics Model for Predicting Post-cystectomy Outcome in Muscle Invasive Bladder Cancer
Recruiting
Observational Study
Bladder Cancer
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
At a Glance
- Sex
- Any
- Study type
- Observational
- Participants needed
- 500 (estimated)
- Sponsor
- First Affiliated Hospital of Chongqing Medical University · Other
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About This Trial
Muscle invasive bladder cancer (MIBC) has a poor prognosis even after radical cystectomy. Postoperative survival stratification based on radiomics and deep learning may be useful for treatment decisions to improve prognosis. This study was aimed to develop and validate a deep learning radiomics model based on preoperative enhanced CT to predict postoperative survival in MIBC.
Trial Locations
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Eligibility Criteria
Inclusion Criteria:
* patients with pathologically confirmed MIBC after radical cystectomy;
* contrast-CT scan less than two weeks before surgery;
* complete CT image data and clinical data.
Exclusion Criteria:
* patients who received neoadjuvant therapy;
* non-urothelial carcinoma;
* poor qualit…
Contacts