Multimodal Model for Efficacy Prediction Cetuximab in Colorectal Cancer Liver Metastasis Patient
Multimodal Deep Learning Radiomic Nomogram for Evaluation of Response to Cetuximab in Patient With Colorectal Cancer Liver Metastasis
1 other identifier
interventional
100
1 country
2
Brief Summary
Establishment and validation of the deep learning model of Cetuximab efficacy in simultaneous RAS wild unresectable CRLM patients
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jun 2023
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
February 17, 2023
CompletedFirst Posted
Study publicly available on registry
May 24, 2023
CompletedStudy Start
First participant enrolled
June 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2024
CompletedMay 24, 2023
June 1, 2022
1 year
February 17, 2023
May 22, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
response rate
response rate will be assessed by local MDT
6 months
Secondary Outcomes (2)
progression free survival
3 years
overall survival
3 years
Study Arms (2)
ARM A
ACTIVE COMPARATORChemotherapy regimens are determined based on the clinical experience of specialists
ARM B
EXPERIMENTALChemotherapy regimens are determined based on the multimodal deep learning signature
Interventions
AEM A:The specialist's decision to add cetuximab to chemotherapy will be based on their own judgment ARM B:The patient's CT imaging,genetic mutation information were input into the signature, and the FOLFOX+cetuximab regimen was selected when the output label was 1. FOLFOX+bevacizumab chemotherapy regimen was selected when the output label was 0
Eligibility Criteria
You may qualify if:
- Age 18-75 years;
- Histologically proven colorectal adenocarcinoma;
- Simultaneous liver-limited metastases;
- Initially unresectable liver metastases determined by a local MDT;
- Life expectancy of \> 6 months;
- RAS and BRAF V600E wild-type;
- ECOG 0-1;
- Available CT imaging before treatment.
You may not qualify if:
- Previous systemic treatment for metastatic disease;
- Previous surgery for metastatic disease;
- Extrahepatic metastases;
- Unresectable primary tumor;
- Major cardiovascular events (myocardial infarction, severe/unstable angina, congestive heart failure, CVA) within 12 months before randomisation;
- Acute or subacute intestinal obstruction;
- Second primary malignancy within the past 5 years;
- Drug or alcohol abuse;
- No legal capacity or limited legal capacity;
- Uncontrolled hypertension, or unsatisfactory blood pressure control with ≥3 antihypertensive drugs;
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Fudan Universitylead
Study Sites (2)
Zhongshan Hospital, Fudan University
Shanghai, Shanghai Municipality, 200032, China
Zhongshan hosptial, Fudan University
Shanghai, 200032, China
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jianmin Xu, MD
Fudan University
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Head of Colorectal Surgery
Study Record Dates
First Submitted
February 17, 2023
First Posted
May 24, 2023
Study Start
June 1, 2023
Primary Completion
June 1, 2024
Study Completion
December 31, 2024
Last Updated
May 24, 2023
Record last verified: 2022-06