Non-invasive prediction of the chronic degree of lupus nephropathy based on ultrasound radiomics.

Journal: Lupus
Published Date: Dec 20, 2023

Abstract

OBJECTIVE: Through machine learning (ML) analysis of the radiomics features of ultrasound extracted from patients with lupus nephritis (LN), this attempt was made to non-invasively predict the chronicity index (CI)of LN.

Authors

  • Chen Yin
    Department of Ultrasound, The Second Clinical Medical College, North Sichuan Medical College, Nan Chong, China.
  • Weihan Xiao
    Department of Ultrasound, The Second Clinical Medical College, North Sichuan Medical College, Nan Chong, China.
  • Xiaomin Hu
    Department of Ultrasound, The Second Clinical Medical College, North Sichuan Medical College, Nan Chong, China.
  • Xuebin Liu
    Department of Ultrasound, The Second Clinical Medical College, North Sichuan Medical College, Nan Chong, China.
  • Huaming Xian
    Department of Nephrology, The Second Clinical Medical College, North Sichuan Medical College, Nan Chong, China.
  • Jun Su
    Department of Ultrasound, The Second Clinical Medical College, North Sichuan Medical College, Nan Chong, China.
  • Chaoxue Zhang
    Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Xiachuan Qin
    Department of Ultrasound, The Second Clinical Medical College, North Sichuan Medical College, Nan Chong, China.

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