Fudan University
X U Jianmin
Establishment and validation of the deep learning model of Cetuximab efficacy in simultaneous RAS wild unresectable CRLM patients
Colorectal Cancer Liver Metastases
Cetuximab
NA
Ras wild unresectable CRLM patients with primary tumor resection followed by Cetuximab in combination with chemotherapy were included in this study. The tumor response was assessed by local MDT group. Based on tumor response, almost 100 CRLM patients were classified into two groups (Clinician drived regimen vs Multi-omics model drived regimen). They will be the prospective cohort to validate our deep learning model for predicting Cetuximab efficacy.
Study Type : | INTERVENTIONAL |
Estimated Enrollment : | 100 participants |
Masking : | NONE |
Primary Purpose : | TREATMENT |
Official Title : | Multimodal Deep Learning Radiomic Nomogram for Evaluation of Response to Cetuximab in Patient With Colorectal Cancer Liver Metastasis |
Actual Study Start Date : | 2023-06-01 |
Estimated Primary Completion Date : | 2024-06-01 |
Estimated Study Completion Date : | 2024-12-31 |
Information not available for Arms and Intervention/treatment
Ages Eligible for Study: | 18 Years to 75 Years |
Sexes Eligible for Study: | ALL |
Accepts Healthy Volunteers: |
Want to participate in this study, select a site at your convenience, send yourself email to get contact details and prescreening steps.
Not yet recruiting
Z Hongshan Hospital, F U egg university
Shanghai, Shanghai, China, 200032
Not yet recruiting
Z Sequoia Hosp Body Ali, F U Egg University
Shanghai, China, 200032