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| ID | Type | Description | Link |
|---|---|---|---|
| 2022-K508 | Other Identifier | The First Affiliated Hospital of Chongqing Medical University |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| MIBC | patients with pathologically confirmed MIBC after radical cystectomy |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| develop and validate a deep learning radiomics model based on preoperative enhanced CT image | Other | develop and validate a deep learning radiomics model based on preoperative enhanced CT to predict postoperative survival in MIBC |
| Measure | Description | Time Frame |
|---|---|---|
| Overall survival（OS） | the time from the date of surgery to death from any cause or the date of last contact (censored observation) at the date of data cut-off. | up to 10 years |
| Recurrence free survival（RFS) | the time from the date of surgery to the date of first documented disease recurrence. Patients without recurrence at the time of analysis will be censored. | up to 10 years |
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Inclusion Criteria:
Exclusion Criteria:
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patients with pathologically confirmed MIBC who underwent radical cystectomy
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Zongjie Wei | Contact | 023-89012557 | wzj9846@163.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Department of Urology, The First Affiliated Hospital of Chongqing Medical University | Recruiting | Chongqing | Chongqing Municipality | 400016 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38349205 | Derived | Wei Z, Xv Y, Liu H, Li Y, Yin S, Xie Y, Chen Y, Lv F, Jiang Q, Li F, Xiao M. A CT-based deep learning model predicts overall survival in patients with muscle invasive bladder cancer after radical cystectomy: a multicenter retrospective cohort study. Int J Surg. 2024 May 1;110(5):2922-2932. doi: 10.1097/JS9.0000000000001194. |
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The datasets analyzed during the current study are not publicly available due to the privacy of patients but are available from the corresponding author on reasonable request.
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| ID | Term |
|---|---|
| D001749 | Urinary Bladder Neoplasms |
| ID | Term |
|---|---|
| D014571 | Urologic Neoplasms |
| D014565 | Urogenital Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D001745 | Urinary Bladder Diseases |
| D014570 | Urologic Diseases |
| D052801 | Male Urogenital Diseases |
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