Machine Learning for Recurrence Risk of Pancreatic Cancer After Radical Resection

Completed

• Conditions: Pancreatic Cancer
• Interventions: Other: preoperative demographics, blood markers, surgical pathology information，and enhanced CT features.

• Registration Number: NCT05589480
• Lead Sponsor: Luo Cong

Brief 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.

Detailed Description

Not available

Study Timeline

• Study Start: 2022-08-01
• Primary Completion: 2022-08-20
• Study Completion: 2022-09-01
• Study First Submitted: 2022-10-18
• Study First Submitted QC: 2022-10-19
• Study First Posted: 2022-10-21
• Status Verified: 2023-12
• Last Update Submitted: 2023-12-08
• Last Update Posted: 2023-12-11

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 226

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 & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
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.	-

Primary Outcome Measures

Name	Time	Method
Recurrence-free survival	1 year

Trial Locations

Locations (1)

Zhejiang Province Cancer Hospital; 🇨🇳 Hangzhou, Zhejiang, China