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Radiomics and Molecular Expression Predictive Model for Esophago-Gastric Junction and Gastric Cancer TRG
Sponsor: University of Roma La Sapienza
Summary
The aim of this study is to develop a CT scan-based radiomics predictive model about tumor regression grade (TRG) in patients with esophago-gastric junction (EGJ) ang gastric cancer undergoing perioperative chemotherapy. The molecular expression of the neoplasms will be evaluated to assess its association with the TRG and the radiomic features.
Official title: CT Scan-Based Radiomics and Molecular Expression Predictive Model to Assess Tumor Regression Grade Following Perioperative Chemotherapy in Esophago-Gastric Junction and Gastric Cancer
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
138
Start Date
2019-12-20
Completion Date
2027-10-30
Last Updated
2024-05-09
Healthy Volunteers
Not specified
Interventions
CT scan
Patients undergoing CT scan staging for gastric and EJ junction cancer + perioperative chemotherapy (FLOT regimen) , CT scan re-staging and radical gastrectomy or esophagogastrectomy will be enrolled in the study
Locations (5)
University of Padova
Padova, Italy
Link Campus University
Roma, Italy
Giovanni Maria Garbarino
Roma, Italy
University of Verona
Verona, Italy
Amsterdam UMC location University of Amsterdam
Amsterdam, North Holland, Netherlands