DLCS for Predicting Neoadjuvant Chemotherapy Response
NCT05617469 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 1100
Last updated 2022-11-15
Summary
The early noninvasive screening of patients suitable for neoadjuvant chemotherapy (NCT) is essential for personalized treatment in locally advanced gastric cancer (LAGC). The aim of this study was to develop and visualized a radio-clinical biomarker from pretreatment oversampled CT images to predict the response and prognosis to NCT in LAGC patients.
Conditions
- Gastric Cancer
- CT Images
- Deep Learning
- Neoadjuvant Chemotherapy
- Tumor Regression Grade
Interventions
- OTHER
-
develop and visualized a radio-clinical signatures from pretreatment oversampled CT images
develop and visualized a radio-clinical signatures from pretreatment oversampled CT images to predict the neoadjuvant chemotherapy response and prognosis
Sponsors & Collaborators
-
Zhejiang Cancer Hospital
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-07-01
- Primary Completion
- 2023-01-30
- Completion
- 2023-07-31
Countries
- China
Study Locations
More Related Trials
-
Radiomics-based Models for the Prediction of Pathological Response to Neoadjuvant Therapy in Gastric and Gastroesophageal Cancer
NCT06044961 ·Status: COMPLETED
-
Recurrence and Prognosis Prediction Model for Gastric Cancer
NCT07243847 ·Status: COMPLETED
-
Radiomics-based Artificial Intelligence System to Predict Neoadjuvant Treatment Response in Rectal Cancer
NCT04273477 ·Status: UNKNOWN
-
RadioPathomics Artificial Intelligence Model to Predict nCRT Response in Locally Advanced Rectal Cancer
NCT04271657 ·Status: COMPLETED
-
Integrating Multi-Omics Data for Enhanced Prognosis Prediction in Gastric Cancer Post-Neoadjuvant Therapy
NCT07190040 ·Status: COMPLETED
-
Deep Learning Magnetic Resonance Imaging Radiomic Predict Platinum-sensitive in Patients With Epithelial Ovarian Cancer
NCT04511481 ·Status: UNKNOWN
-
Prospective Observational Study to Predict Severe Oral Mucositis Associated With Chemoradiotherapy in Nasopharyngeal Carcinoma Based on Deep Learning
NCT06032767 ·Status: RECRUITING
-
Study of Hypo-fractionated Neoadjuvant Radiotherapy for Locally Advanced Gastric Cancer
NCT03427684 ·Status: UNKNOWN ·Phase: PHASE1/PHASE2
-
Multimodal Deep Learning Signature for Evaluation of Response to Bevacizumab in Patient With Colorectal Cancer Liver Metastasis
NCT05354674 ·Status: NOT_YET_RECRUITING
-
Exploring the Predictive Effect of Intestinal and Oral Microbiota on the Efficacy of Neoadjuvant Radiotherapy and Chemotherapy for Locally Advanced Rectal Cancer Based on Machine Learning
NCT07346729 ·Status: COMPLETED
-
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
-
ML Decision Model for G-NEC Adjuvant Therapy
NCT06663852 ·Status: COMPLETED
-
Whole-slide Image and CT Radiomics Based Deep Learning System for Prognostication Prediction in Upper Tract Urothelial Carcinoma
NCT06993779 ·Status: ACTIVE_NOT_RECRUITING
-
Deep Learning Based MRI Radiomics in Predicting the Clinical Risk of Locally Advanced Rectal Cancer
NCT06314750 ·Status: COMPLETED
-
Multimodal Model Predicts Recurrence
NCT06690268 ·Status: COMPLETED
-
Tumor Response Prediction in Neoadjuvant Chemoradiation of Locally Advanced Rectal Cancer Using Metabonomics Analysis
NCT03149978 ·Status: UNKNOWN
-
Predicting the Efficacy of Neoadjuvant Therapy in Patients With Locally Advanced Rectal Cancer Using an AI Platform Based on Multi-parametric MRI
NCT05523245 ·Status: RECRUITING
-
Peritoneal Lavage for Early Detecting Gene Mutation of Peritoneal Metastasis of Gastric Cancer
NCT03314649 ·Status: COMPLETED
-
Biomarkers for Predicting Neoadjuvant Chemoradio-resistance for Middle-low Advanced Rectal Cancer
NCT03573791 ·Status: RECRUITING
-
Interpretable Machine Learning Models for Prognosis in Gastric Cancer Patients
NCT06548464 ·Status: COMPLETED
-
Preoperative Concurrent Chemoradiotherapy for Locally Advanced Gastroesophageal Junction or Upper Gastric Adenocarcinoma
NCT02193594 ·Status: UNKNOWN ·Phase: PHASE2/PHASE3
-
Post-Neoadjuvant Treatment MRI Based AI System to Predict pCR for Rectal Cancer
NCT04278274 ·Status: UNKNOWN
-
A Transfer Learning Radiomics Model for Predicting Response to Initial Transarterial Embolization in Patients with Gastroenteropancreatic Neuroendocrine Tumor Liver Metastases
NCT06853457 ·Status: COMPLETED
-
Prediction of Drug Response in Gastric Cancer Based on 3D Bioprinting
NCT06792149 ·Status: RECRUITING
-
RadioPathomics Artificial Intelligence Model to Predict Tumor Regression Grading in Locally Advanced Rectal Cancer
NCT04273451 ·Status: UNKNOWN