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Development and Validation of a PSN-AI Prediction Model

NCT06231524 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 50

Last updated 2024-01-30

No results posted yet for this study

Summary

Heterogeneity concerning survival in synchronous peritoneal metastasis from patients with colorectal cancer exists, thereby further classification is urgently required. This study aimed to validate a PSN-AI model based on DNA ploidy, stroma-tumor fraction, and nucleotyping (PSN) for the prediction of survival of synchronous peritoneal metastasis from colorectal cancer.

Conditions

Interventions

OTHER

Analyse pathologic slides

HE-stained whole slide images were used for the validation of the PSN-AI model.

Sponsors & Collaborators

  • Sixth Affiliated Hospital, Sun Yat-sen University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-02-01
Primary Completion
2024-12-30
Completion
2025-02-01

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 NCT06231524 on ClinicalTrials.gov