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OpenTrials
Completed

NCT Number: NCT05816902

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

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.

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Key information

Conditions

Colorectal Cancer Colonic Diseases Colorectal Neoplasms Digestive System Diseases Digestive System Neoplasms Gastrointestinal Diseases Gastrointestinal Neoplasms Intestinal Diseases Intestinal Neoplasms Lung Metastases Neoplasms Neoplasms by Site Rectal Diseases

Sex eligibility

All sexes

Study type

Observational

Who can participate

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

The location of the patient's treatment

Other

The location of the patient's treatment

Primary outcomes

  1. lung metastasis

    Time frame: through study completion, an average of 3 month

    diagnosed with lung metastasis

Sponsors and collaborators

Lead sponsor

Peking Union Medical College

Other

Collaborators

  • The Second Affiliated Hospital of Harbin Medical University

Registry information

Official study 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

Important dates

Study start
2016
Primary completion
2020
Study completion
2020
First posted
Apr 18, 2023
Registry last updated
Apr 18, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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