LASSO-Based Machine Learning Algorithm for Prediction of Lymph Node Metastasis in T1 Colorectal Cancer.

Journal: Cancer research and treatment
Published Date: Jul 1, 2021

Abstract

PURPOSE: The role of tumor-infiltrating lymphocytes (TILs) in predicting lymph node metastasis (LNM) in patients with T1 colorectal cancer (CRC) remains unclear. Furthermore, clinical utility of a machine learning-based approach has not been widely studied.

Authors

  • Jeonghyun Kang
    Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Yoon Jung Choi
    Research Institute, National Health Insurance Service Ilsan Hospital, Goyang, Korea. chris316@yuhs.ac.
  • Im-Kyung Kim
    Department of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Hye Sun Lee
    Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea (G.R.K., E.-K.K., J.H.Y., H.J.M., J.Y.K.); Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea (S.J.K.); Department of Radiology, Ajou University School of Medicine, Suwon, Korea (E.J.H.); Yonsei University College of Medicine, Seoul, Korea (J.Y.); and Department of Research Affairs, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea (H.S.L., J.H.H.).
  • Hogeun Kim
    Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
  • Seung Hyuk Baik
  • Nam Kyu Kim
  • Kang Young Lee

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