Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules.

Journal: BMC medical informatics and decision making
Published Date: Jul 18, 2025

Abstract

BACKGROUND: Pulmonary Nodules (PNs) are a trend considered as the early manifestation of lung cancer. Among them, PNs that remain stable for more than two years or whose pathological results suggest not being lung cancer are considered benign PNs (BPNs), while PNs that conform to the growth pattern of tumors or whose pathological results indicate lung cancer are considered malignant PNs (MPNs). Currently, more than 90% of PNs detected by screening tests are benign, with a false positive rate of up to 96.4%. While a range of predictive models have been developed for the identification of MPNs, there are still some challenges in distinguishing between BPNs and MPNs.

Authors

  • Zhi Li
    Department of Nursing, Zhongshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Traditional Chinese Medicine, Zhongshan, China.
  • Wenjing Zhang
    Department of Pharmacy, Shanghai Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
  • Jinyi Huang
    The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical University, The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Guangzhou, 511436, China.
  • Ling Lu
    Department of Pediatrics, Zaozhuang Municipal Hospital, Zaozhuang, Shandong 277100, China.
  • Dongming Xie
    Department of Chemical Engineering, University of Massachusetts Lowell, Lowell, MA 01854, United States. Electronic address: Dongming_Xie@uml.edu.
  • Jinrong Zhang
    KunLun Digital Technology Co., Ltd, Beijing, China.
  • Jiamin Liang
    Medical UltraSound Computing (MUSIC) Lab, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.
  • Yuepeng Sui
    The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical University, The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Guangzhou, 511436, China.
  • Linyuan Liu
    The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical University, The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Guangzhou, 511436, China.
  • Jianjun Zou
    School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China; Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
  • Ao Lin
    The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical University, The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Guangzhou, 511436, China.
  • Lei Yang
    George Mason University.
  • Fuman Qiu
    The Key Laboratory of Advanced Interdisciplinary Studies, The First Affiliated Hospital of Guangzhou Medical University, The Institute for Chemical Carcinogenesis, School of Public Health, Guangzhou Medical University, Guangzhou, 511436, China.
  • Zhaoting Hu
    Health Management Center, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.
  • Mei Wu
    Department of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
  • Yibin Deng
    Center for Medical Laboratory Science, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise 533000, China.
  • Xin Zhang
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Jiachun Lu
    The School of Public Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou 510120, China.

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