MedTrace Logo

Machine Learning for Recurrence Risk of Pancreatic Cancer After Radical Resection

NCT05589480 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 226

Last updated 2023-12-11

No results posted yet for this study

Summary

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.

Conditions

Interventions

OTHER

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

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

Sponsors & Collaborators

  • Luo Cong

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-08-01
Primary Completion
2022-08-20
Completion
2022-09-01

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05589480 on ClinicalTrials.gov