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A Transfer Learning Radiomics Model for Predicting Response to Initial Transarterial Embolization in Patients with Gastroenteropancreatic Neuroendocrine Tumor Liver Metastases: From Lesion-targeted to Patient-targeted Prediction

A Transfer Learning Radiomics Model for Predicting Response to Initial Transarterial Embolization in Patients with Gastroenteropancreatic Neuroendocrine Tumor Liver Metastases: From Lesion-targeted to Patient-targeted Prediction

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500104596
Enrollment
Unknown
Registered
2025-06-19
Start date
2025-07-01
Completion date
Unknown
Last updated
2025-06-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gastroenteropancreatic Neuroendocrine Tumor

Interventions

testing set:NA

Sponsors

The First Affiliated Hospital of Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: (1) Patients who had been pathologically diagnosed with gastroenteropancreatic neuroendocrine tumors before TAE; (2) Patients with abdominal contrast-enhanced CT images within 1 month before TAE; (3) Patients with abdominal contrast-enhanced CT images within 2 months after TAE.

Exclusion criteria

Exclusion criteria: (1) Age less than 18 years; (2) Liver metastases that have undergone resection,ablation,or other locoregional therapies; (3) Presence of other malignant tumors; (4) Poor quality of CT imaging,precluding segmentation of regions of interest.lesions.

Design outcomes

Primary

MeasureTime frame
Response Evaluation Criteria In Solid Tumors,RECIST 1.1;

Secondary

MeasureTime frame
Area under the receiver operating characteristic curve;Discrimination;Calibration;Decision Curve Analysis;

Countries

China

Contacts

Public ContactXiaoyu Yin

The First Affiliated Hospital of Sun Yat-sen University

yinxy@mail.sysu.edu.cn+86 139 0229 0933

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026