A Transfer Learning Radiomics Model for Predicting Response to Initial Transarterial Embolization in Patients with Gastroenteropancreatic Neuroendocrine Tumor Liver Metastases
NCT06853457 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 257
Last updated 2025-03-03
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.
Conditions
- Neuroendocrine Tumors, NET
Sponsors & Collaborators
-
First Affiliated Hospital, Sun Yat-Sen University
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 78 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2014-01-01
- Primary Completion
- 2022-09-30
- Completion
- 2024-09-01
More Related Trials
-
Predicting Gastric Cancer Response to Chemo With Multimodal AI Model
NCT06451393 ·Status: RECRUITING
-
Clinical Efficacy of Stereotactic Radiotherapy and Microwave Ablation for Liver Metastases From Colorectal Cancer.
NCT03963726 ·Status: UNKNOWN ·Phase: NA
-
Deep Learning Magnetic Resonance Imaging Radiomic Predict Platinum-sensitive in Patients With Epithelial Ovarian Cancer
NCT04511481 ·Status: UNKNOWN
-
RadioPathomics Artificial Intelligence Model to Predict nCRT Response in Locally Advanced Rectal Cancer
NCT04271657 ·Status: COMPLETED
-
Constructing a Multimodal Imaging System to Predict the Risk of Heterochronous Metastasis of Rectal Cancer
NCT06293612 ·Status: COMPLETED
-
Application of Multimodal MRI in Histological Grading and Prognostic Assessment of Rectal Cancer
NCT07269912 ·Status: NOT_YET_RECRUITING
-
Radiomics-based Models for the Prediction of Pathological Response to Neoadjuvant Therapy in Gastric and Gastroesophageal Cancer
NCT06044961 ·Status: COMPLETED
-
Using Radiomics to Predict Neoadjuvant Chemotherapy Efficacy
NCT05465512 ·Status: COMPLETED
-
Multi-center and Multi-modal Deep Learning Study of Gastric Cancer
NCT05001321 ·Status: UNKNOWN
-
AI Prediction of Gastric Cancer Response to Neoadjuvant Chemotherapy
NCT06035250 ·Status: RECRUITING
-
Using Artificial Intelligence to Predict Rectal Cancer Outcomes
NCT05723965 ·Status: COMPLETED
-
Bioinformation Therapy for Intestinal Cancer
NCT03350490 ·Status: COMPLETED ·Phase: PHASE2/PHASE3
-
Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)
NCT06088134 ·Status: RECRUITING
-
Efficacy of ICG-based NIR Imaging in Intralesional Curettage of Giant Cell Tumors of Bone in Limbs: a Prospective, Single-center, Single-arm, Open Study
NCT06647901 ·Status: RECRUITING ·Phase: PHASE1/PHASE2
-
ML Decision Model for G-NEC Adjuvant Therapy
NCT06663852 ·Status: COMPLETED
-
Dynamic Multi-omics Integration Model to Predict Neoadjuvant Therapy Response in Locally Advanced Rectal Cancer
NCT06364371 ·Status: RECRUITING
-
Prospective Observational Study to Predict Severe Oral Mucositis Associated With Chemoradiotherapy in Nasopharyngeal Carcinoma Based on Deep Learning
NCT06032767 ·Status: RECRUITING
-
Research on Intelligent Screening and Decision-making for Neoadjuvant Therapy in Locally Advanced Gastric Cancer Based on Multi-omics Integration
NCT06396143 ·Status: RECRUITING
-
DLCS for Predicting Neoadjuvant Chemotherapy Response
NCT05617469 ·Status: UNKNOWN
-
Clinical Study of Radical Right Hemicolectomy Versus Radical Right Hemicolectomy Combined with Indocyanine Green Fluorescence Imaging Lymphatic Tracer Dissection for the Treatment of Right Colon Cancer
NCT06485609 ·Status: RECRUITING ·Phase: NA
-
Whole-slide Image and CT Radiomics Based Deep Learning System for Prognostication Prediction in Upper Tract Urothelial Carcinoma
NCT06993779 ·Status: ACTIVE_NOT_RECRUITING
-
Application of Amide Proton Transfer-Weighted Imaging in Predicting Pathological Complete Response After Neoadjuvant Therapy of Rectal Cancer
NCT06719414 ·Status: RECRUITING
-
Post-Neoadjuvant Treatment MRI Based AI System to Predict pCR for Rectal Cancer
NCT04278274 ·Status: UNKNOWN
-
uEXPLORER Total-body PET/CT in Nasopharyngeal Carcinoma
NCT04394065 ·Status: COMPLETED
-
Predicting Pathological Complete Response of Rectal Cancer With Magnetic Resonance(MR) Radiomics
NCT03238885 ·Status: COMPLETED