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Trial Title:
Deep Learning Radiomics Model for Predicting Post-cystectomy Outcome in Muscle Invasive Bladder Cancer
NCT ID:
NCT06092450
Condition:
Bladder Cancer
Conditions: Official terms:
Urinary Bladder Neoplasms
Conditions: Keywords:
Tomography, X-ray computed
Muscle-invasive bladder cancer
Radiomics
Deep Learning
Study type:
Observational
Overall status:
Recruiting
Study design:
Time perspective:
Retrospective
Intervention:
Intervention type:
Other
Intervention name:
develop and validate a deep learning radiomics model based on preoperative enhanced CT image
Description:
develop and validate a deep learning radiomics model based on preoperative enhanced CT to
predict postoperative survival in MIBC
Arm group label:
MIBC
Summary:
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.
Criteria for eligibility:
Study pop:
patients with pathologically confirmed MIBC who underwent radical cystectomy
Sampling method:
Non-Probability Sample
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 quality of CT images;
- incomplete clinical and follow-up data.
Gender:
All
Minimum age:
N/A
Maximum age:
N/A
Healthy volunteers:
No
Locations:
Facility:
Name:
Department of Urology, The First Affiliated Hospital of Chongqing Medical University
Address:
City:
Chongqing
Zip:
400016
Country:
China
Status:
Recruiting
Contact:
Last name:
Zongjie Wei
Phone:
023-89012557
Email:
wzj9846@163.com
Start date:
August 1, 2023
Completion date:
June 1, 2024
Lead sponsor:
Agency:
First Affiliated Hospital of Chongqing Medical University
Agency class:
Other
Source:
First Affiliated Hospital of Chongqing Medical University
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT06092450
