Development and Validation of a PSN-AI Prediction Model

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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

Trial contacts and locations

1

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Central trial contact

Qiyuan Qin, PhD

Data sourced from clinicaltrials.gov

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