Predicting liver metastasis in colorectal cancer patients using routine biochemical tests enhanced by machine learning.

Journal: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
Published Date: Jul 17, 2025

Abstract

BACKGROUND: Liver is the most common metastatic site in colorectal cancer. This study aims to evaluate the effectiveness of different machine learning (ML) models in predicting liver metastasis in CRC patients using routine biochemical tests.

Authors

  • Efe Cem Erdat
    Department of Medical Oncology, Ankara University Faculty of Medicine, Tip Fakultesi Cd. No 1 Mamak, Ankara, Turkey. cemerdat@gmail.com.
  • Merih Yalciner
    Department of Medical Oncology, Ankara University Faculty of Medicine, Balkiraz Mh. Tip Fakultesi Cad. No 1, Mamak, Ankara, Turkey.
  • Engin Eren Kavak
    Department of Medical Oncology, Etlik City Hospital, Oncology Hospital, Ankara, Turkey.
  • İsmail Dilli
    Department of Medical Oncology, Etlik City Hospital, Oncology Hospital, Ankara, Turkey.
  • Omur Berna Cakmak Oksuzoglu
    Department of Medical Oncology, Ankara Etlik City Hospital, Ankara, Turkey.
  • Hakan Akbulut
    Department of Medical Oncology, Ankara University Medical Faculty, Ankara, Turkey.
  • Gungor Utkan
    Department of Medical Oncology, Ankara University Faculty of Medicine, Balkiraz Mh. Tip Fakultesi Cad. No 1, Mamak, Ankara, Turkey.

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