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Development and Validation of a PSN-AI Prediction Model

Development and Validation of a PSN-AI Prediction Model

Recruiting
18-80 years
All
Phase N/A
  • Technical (Original)
  • Simplified (AI rewritten)

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Overview

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.

Eligibility

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.

Study details
    Colorectal Cancer
    Peritoneal Metastases

NCT06231524

Sixth Affiliated Hospital, Sun Yat-sen University

15 February 2024

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