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To develop and validate a CT-based transfer learning radiomics model for predicting response to initial TAE in GEP-NETLM patients and compare its performance with traditional radiomics and clinical models.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| training set | The training set consisted of patients from January 2014 to December 2020. | ||
| testing set | the testing set included patients from January 2021 to September 2022. |
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| Measure | Description | Time Frame |
|---|---|---|
| The efficacy of TAE | Complete multiphase contrast-enhanced CT images were collected preoperatively and postoperatively. The efficacy of TAE was assessed based on RECIST 1.1 criteria. Patients were classified as objective responders (those achieving complete response [CR] or partial response [PR]) or non-responders (those with stable disease [SD] or progressive disease [PD]) through evaluation of target lesions. | Within one month prior and 4-6 weeks following the initial TAE. |
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This study retrospectively included gastroenteropancreatic neuroendocrine tumors liver metastasis patients who receive initial transarterial embolization from January 2014 to September 2022 at The First Affiliated Hospital of Sun Yat-sen University.
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| ID | Term |
|---|---|
| D018358 | Neuroendocrine Tumors |
| ID | Term |
|---|---|
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
| D009380 | Neoplasms, Nerve Tissue |
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