AI Prediction Model and Risk Stratification for Lung Metastasis in Colorectal Cancer

Colorectal Cancer Clinical Trial

Official title:

Development and Validation of an Artificial Intelligence Prediction Model and a Survival Risk Stratification for Lung Metastasis in Colorectal Cancer From Highly Imbalanced Data

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT05816902
• Other study ID #: PekingUMC02
• Status: Completed
• Start date: January 1, 2016
• Est. completion date: December 31, 2020

Study information

• Verified date: April 2023
• Source: Peking Union Medical College
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

Background:

To assist clinicians with diagnosis and optimal treatment decision-making, we attempted to develop and validate an artificial intelligence prediction model for lung metastasis (LM) in colorectal cancer (CRC) patients.

Method:

The clinicopathological characteristics of 46037 CRC patients from the Surveillance, Epidemiology, and End Results (SEER) database and 2779 CRC patients from a multi-center external validation set were collected retrospectively. After feature selection by univariate and multivariate analyses, six machine learning (ML) models, including logistic regression, K-nearest neighbor, support vector machine, decision tree, random forest, and balanced random forest (BRF), were developed and validated for the LM prediction. The optimization model with best performance was compared to the clinical predictor. In addition, stratified LM patients by risk score were utilized for survival analysis.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 2779
• Est. completion date: December 31, 2020
• Est. primary completion date: December 31, 2020
• Gender: All
• Age group: N/A and older

Eligibility

Inclusion Criteria:

• patients with pathologic confirmation of a primary CRC diagnosis

Exclusion Criteria:

• (1) patients with multiple primary cancers or other malignancies; (2) patients identified via autopsy or death certificate; and (3) patients with uncertain clinical data values

Related Conditions & MeSH terms

• Colorectal Cancer
• Colorectal Neoplasms
• Lung Metastases
• Lung Neoplasms
• Neoplasm Metastasis

Intervention

Other:
• The location of the patient's treatment
The location of the patient's treatment

Locations

Country	Name	City	State
n/a

Sponsors (2)

Lead Sponsor	Collaborator
Peking Union Medical College	The Second Affiliated Hospital of Harbin Medical University

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	lung metastasis	diagnosed with lung metastasis	through study completion, an average of 3 month