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


2021-01-01


2023-12-31


2023-12-31


1000

Study Overview

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

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

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.

  • Pancreatic Cancer
    • RA-2020-455

    Study Record Dates

    These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

    Study Registration Dates Results Reporting Dates Study Record Updates

    2022-03-16  

    N/A  

    2022-03-29  

    2022-03-29  

    N/A  

    2022-04-06  

    2022-04-06  

    N/A  

    2022-03  

    Study Plan

    This section provides details of the study plan, including how the study is designed and what the study is measuring.

    Design Details

    Primary Purpose:
    N/A


    Allocation:
    N/A


    Interventional Model:
    N/A


    Masking:
    N/A


    Arms and Interventions

    Participant Group/ArmIntervention/Treatment
    Primary Outcome MeasuresMeasure DescriptionTime Frame
    Patient overall survivalPatient overall survival, from the time of diagnosis of pancreatic tumor to the death of the patient.up to 3 years
    Secondary Outcome MeasuresMeasure DescriptionTime Frame
    Pathology diagnosisPathology diagnosis of the patient, such as adenocarcinoma, pancreatic neuroendocrine tumors, intraductal Papillary Mucinous Neoplasm, et al.intraoperative

    Contacts and Locations

    This section provides the contact details for those conducting the study, and information on where this study is being conducted.

    Study Contact

    Name: Xinsen Xu, Dr

    Phone Number: +86-21-68383713

    Email: xuxinsen@gmail.com

    Study Contact Backup

    Name: Tao Chen, Dr

    Phone Number: +86-21-68383713

    Email: dr_chentao78@163.com

    Participation Criteria

    Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person’s general health condition or prior treatments.

    Ages Eligible for Study:
    ALL

    Sexes Eligible for Study:
    18 Years

    Accepts Healthy Volunteers:

      Inclusion Criteria:
      Clinical diagnosis of pancreatic tumor; Must have CT / MRI / ultrasound data and pathology diagnosis
      Exclusion Criteria:
      Have other tumors along with pancreatic tumor; Clinical information missing

    Collaborators and Investigators

    This is where you will find people and organizations involved with this study.


      • PRINCIPAL_INVESTIGATOR: Tao Chen, Dr, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University

      Publications

      The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

      General Publications

      No publications available