Multimodal Survival Prediction Model for Colorectal Liver Metastases Post-Operation

⚠️

This is not medical advice. AI-assisted translation — inaccuracies may occur. Always verify the original and consult your oncologist before taking any steps.

About the trial

The purpose of this study is to construct and validate a multimodal survival prediction model by integrating 3D radiomics features derived from preoperative magnetic resonance imaging (MRI) with systemic clinical baseline indicators for patients with colorectal liver metastases (CRLM) after surgery. By combining micro-level radiomics signatures reflecting tumor micro-heterogeneity with macro-level clinical parameters (such as liver function and tumor biomarkers), the study aims to accurately evaluate individual post-operative prognostic risks. This quantitative tool will provide reliable decision support for clinicians to customize post-operative follow-up and personalized adjuvant treatment strategies.

Original English text from ClinicalTrials.gov

Who can (and can't) join

✓ Qualifies

  • •Wiek 18 lat lub starszy
  • •Potwierdzona diagnoza raka jelita grubego z przerzutami do wątroby
  • •Przebyta operacja usunięcia przerzutów raka z wątroby
  • •Wykonane badanie MRI wątroby przed operacją o dobrej jakości
  • •Kompletne dane z badań krwi i obserwacji po operacji

✗ Disqualifies

  • •Pacjenci, którzy otrzymali tylko zabiegi ablacyjne bez operacji chirurgicznej
  • •Badania MRI słabej jakości, które uniemożliwiają analizę komputerową
  • •Obecność innego nowotworu złośliwego w przeszłości
  • •Brakujące ważne dane medyczne lub brak kontaktu po operacji

Simplified criteria — AI translation

Trial details

Minimum age
18 Years
Maximum age
80 Years
Last updated (source)
September 21, 2026
Sex
No restrictions

Therapies / drugs in trial

Locations (1)

The First Affiliated Hospital of University of Science and Technology of China

Hefei, China

Trial contact

Contact information from ClinicalTrials.gov. Contact in English.

Share this trial

Data from ClinicalTrials.gov. AI-assisted translation, last sync: 9/22/2026.

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