Development and Validation of a PSN-AI Prediction Model

Sun Yat-sen University

Status: Enrolling

Conditions: Peritoneal Metastases; Colorectal Cancer

Treatments: Other: Analyse pathologic slides

Study type: Observational

Funder types: Other

Identifiers

NCT06231524

PSN2023

Details and patient eligibility

About

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.

Enrollment: 50 estimated patients

Sex: All

Ages: 18 to 80 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Histological proof of synchronous peritoneal metastases of a nonappendiceal colorectal adenocarcinoma.
• Resectable disease determined by computed tomography (CT) and a peritoneal cancer index (PCI) of ≤20 at diagnostic laparoscopy or laparotomy;
• No evidence of systemic (e.g. liver, lung) colorectal metastases within three months prior to enrolment;
• Undergoing cytoreduction surgery for synchronous peritoneal metastasis from colorectal cancer.

Exclusion criteria

• Combined with other types of malignant tumors.

Trial design

50 participants in 1 patient group

Validation cohort

Description:

A cohort of consecutive patients from the Sixth Affiliated Hospital of Sun Yat-sen University is used for model validation.

Treatment:

Other: Analyse pathologic slides