A Study on Predicting the Efficacy of Posterior Lumbar Interbody Fusion Surgery Using a Deep Learning Radiomics Model.

Journal: Academic radiology
Published Date: May 30, 2025

Abstract

RATIONALE AND OBJECTIVES: This study seeks to develop a combined model integrating clinical data, radiomics, and deep learning (DL) for predicting the efficacy of posterior lumbar interbody fusion (PLIF) surgery.

Authors

  • Liguang Fang
    Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou 510630, China (L.F., Y.P., W.Z., J.L., Q.Z.).
  • Yingyi Pan
    Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou 510630, China (L.F., Y.P., W.Z., J.L., Q.Z.).
  • Haige Zheng
    Department of Radiology, Women and Children's Medical Center Affiliated to Guangzhou Medical University, Guangzhou, Guangdong Provincial 510623, China (H.Z.).
  • Fei Li
    Institute for Precision Medicine, Tsinghua University, Beijing, China.
  • Wenlin Zhang
    Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University (Academy of Orthopedics Guangdong Province), Guangzhou 510630, China (L.F., Y.P., W.Z., J.L., Q.Z.).
  • Jiaqi Liu
  • Quan Zhou
    Department of Medical Laboratory, General Hospital of Southern Theater of PLA, Guangzhou 51010, China.

Keywords

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