Machine Learning For Recurrence Risk Of Pancreatic Cancer After Radical Resection

Study Overview

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.

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Pancreatic Cancer

OTHER: preoperative demographics, blood markers, surgical pathology information，and enhanced CT features.

Zhejiang CH

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
First Submitted 2022-10-18	Results First Submitted N/A	Last Update Submitted that met QC Criteria 2023-12-08
First Submitted that Met QC Criteria 2022-10-19	Results First Submitted that Met QC Criteria N/A	Last Update Posted (ACTUAL) 2023-12-11
First Posted (ACTUAL) 2022-10-21	Results First Posted N/A	Last Verified 2023-12

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:
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Allocation:
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Interventional Model:
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Masking:
N/A

Arms and Interventions

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

Participant Group/Arm

Intervention/Treatment

: postoperative recurrence

OTHER: preoperative demographics, blood markers, surgical pathology information，and enhanced CT features.

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

: postoperative non-recurrence

OTHER: preoperative demographics, blood markers, surgical pathology information，and enhanced CT features.

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

Primary Outcome Measures	Measure Description	Time Frame
Recurrence-free survival		1 year

Secondary Outcome Measures	Measure Description	Time Frame

Contacts and Locations

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

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:

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.

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.

Collaborators and Investigators

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

Publications

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General Publications

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Clinical Trial Record