Comparison of MRI artificial intelligence-guided cognitive fusion-targeted biopsy versus routine cognitive fusion-targeted prostate biopsy in prostate cancer diagnosis: a randomized controlled trial.

Journal: BMC medicine
PMID: 39533250

Abstract

BACKGROUND: Cognitive fusion MRI-guided targeted biopsy (cTB) has been widely used in the diagnosis of prostate cancer (PCa). However, cTB relies heavily on the operator's experience and confidence in MRI readings. Our objective was to compare the cancer detection rates of MRI artificial intelligence-guided cTB (AI-cTB) and routine cTB and explore the added value of using AI for the guidance of cTB.

Authors

  • Ruiyi Deng
    Department of Urology, Peking University First Hospital, Beijing, China.
  • Yi Liu
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Kexin Wang
    Clifford Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Mingjian Ruan
    Department of Urology, Peking University First Hospital, Beijing, China.
  • Derun Li
    Department of Urology, Peking University First Hospital, Beijing, China.
  • Jingyun Wu
    Department of Radiology, Peking University First Hospital, 8 Xishiku St, Beijing 100034, China.
  • Jianhui Qiu
    Department of Urology, Peking University First Hospital, Beijing, China.
  • Pengsheng Wu
    Beijing Smart Tree Medical Technology Co. Ltd, Beijing, China.
  • Peidong Tian
    Department of Urology, Peking University First Hospital, Beijing, China.
  • Chaojian Yu
    Department of Urology, Peking University First Hospital, Beijing, China.
  • Jiaheng Shang
    Department of Urology, Peking University First Hospital, Beijing, China.
  • Zihou Zhao
    Department of Urology, Peking University First Hospital, Beijing, China.
  • Jingcheng Zhou
    Department of Urology, Peking University First Hospital, Beijing, China.
  • Lin Cai
    Department of Anesthesiology, General Hospital of Chengdu Military Region of PLA, Chengdu 610083,China.
  • XiaoYing Wang
  • Kan Gong
    Department of Urology, Peking University First Hospital, Beijing, China. kan.gong@bjmu.edu.cn.

Keywords

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