Machine Learning for Recurrence Risk of Pancreatic Cancer After Radical Resection (PaC)

December 8, 2023 updated by: Luo Cong

Multimodal Data Prediction Based on Machine Learning for Recurrence Risk of Pancreatic Cancer After Radical Resection

Recurrence of Pancreatic Cancer(PCa) is a multifactorial event. Based on the clinicopathological characteristics and imaging data of patients with PCa, the investigators used image processing and machine learning algorithms to build a more comprehensive and robust model, and added some unused features to explore its clinical application value.

A retrospective analysis of patients with PCa who underwent radical resection at Zhejiang Cancer Hospital (Hangzhou, China) from January 2013 to December 2020. The database was extracted from the preoperative demographics, blood markers, and surgical pathology information of patients undergoing radical PCa surgery in the investigators' hospital. The investigators used the PyRadiomics platform to extract image features.

Study Overview

Study Type

Observational

Enrollment (Actual)

226

Contacts and Locations

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

Study Locations

    • Zhejiang
      • Hangzhou, Zhejiang, China, 310000
        • Zhejiang Province Cancer Hospital

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.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

patients with PCa who underwent radical resection

Description

Inclusion Criteria:

  • Have the results of enhanced CT examination of the pancreas within 1 month before surgery in our hospital;
  • Radical resection of pancreatic cancer was performed in our hospital;
  • There are follow-up results in our hospital, and the follow-up endpoints include disease recurrence or at least 12 months.
  • Complete clinical medical records and imaging data.

Exclusion Criteria:

  • non-R0 resection;
  • Combined with other malignant tumors
  • The patient's imaging data has technical problems or the lesion is too small (less than 1cm), which is not suitable for omics analysis.

Study Plan

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

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
postoperative recurrence
preoperative demographics, blood markers, surgical pathology information,and enhanced CT features.
postoperative non-recurrence
preoperative demographics, blood markers, surgical pathology information,and enhanced CT features.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Recurrence-free survival
Time Frame: 1 year
1 year

Collaborators and Investigators

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

Sponsor

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 Major Dates

Study Start (Actual)

August 1, 2022

Primary Completion (Actual)

August 20, 2022

Study Completion (Actual)

September 1, 2022

Study Registration Dates

First Submitted

October 18, 2022

First Submitted That Met QC Criteria

October 19, 2022

First Posted (Actual)

October 21, 2022

Study Record Updates

Last Update Posted (Estimated)

December 11, 2023

Last Update Submitted That Met QC Criteria

December 8, 2023

Last Verified

December 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • Zhejiang CH
  • Grant 20212B037 (OTHER_GRANT: the Zhejiang Traditional Chinese Medicine Scientific Research Fund)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Pancreatic Cancer

Clinical Trials on preoperative demographics, blood markers, surgical pathology information,and enhanced CT features.

Subscribe