Neuroendocrine Tumors, NET
Conditions
Brief summary
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.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* (a) Clinical diagnosed as gastroenteropancreatic neuroendocrine tumor liver metastases; (b) Received initial transarterial embolization therapy; (c) Underwent multi-phase ceCT scans pre-TAE (≤1 month) and post-TAE (4-6 weeks).
Exclusion criteria
* (a) Neuroendocrine carcinoma (NEC) or other malignancies. (b) Received other liver metastasis treatments. (c) Lack of Multi-phase ceCT scans records. (d) CT images with artifacts or no visible lesions.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The efficacy of TAE | Within one month prior and 4-6 weeks following the initial 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. |