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Spots Global Cancer Trial Database for Diagnosis and Survival Prediction of Pancreatic Cancer by Machine Learning of Image Data

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We do not endorse or review these studies in any way.

Trial Identification

Brief Title: Diagnosis and Survival Prediction of Pancreatic Cancer by Machine Learning of Image Data

Official Title: Diagnosis and Survival Prediction of Pancreatic Cancer by Machine Learning of Image Data

Study ID: NCT05313854

Interventions

Study Description

Brief Summary: This prospective cohort study is designed to investigate the diagnostic ability and prediction accuracy of pancreatic cancer by radiomics data and clinical data.

Detailed Description: In this study, investigators aimed to investigate the diagnostic performance and prediction accuracy of pancreatic cancer by radiomics data and clinical data, which include CT scan, MRI, PET-CT, PET-MR, ultrasound, and clinical data.

Eligibility

Minimum Age: 18 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: ALL

Healthy Volunteers: No

Locations

Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, , China

Contact Details

Name: Tao Chen, Dr

Affiliation: Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University

Role: PRINCIPAL_INVESTIGATOR

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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