Accuracy of artificial intelligence-based simulation for assessing lung vessels and volume using unenhanced computed tomography.

Journal: European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
PMID: 40120091

Abstract

OBJECTIVES: The advantages of preoperative three-dimensional (3D) image simulations, which require enhanced computed tomography (ECT), for anatomical lung resection are well documented. However, the necessity for contrast agent presents a significant barrier for some patients. This study thus aims to evaluate the accuracy of an artificial intelligence-based 3D simulation using unenhanced computed tomography (UECT) data in comparison to ECT data.

Authors

  • Kentaro Fukuta
    Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan.
  • Yoshihisa Shimada
    Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan. zenkyu@za3.so-net.ne.jp.
  • Yuki Nagamatu
    Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan.
  • Ryosuke Amemiya
    Department of Surgery, Tokyo Medical University, Japan.
  • Tomokazu Oomori
    Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan.
  • Hideyuki Furumoto
    Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan.
  • Yujin Kudo
    Department of Surgery, Tokyo Medical University, Japan. Electronic address: ykudo@tokyo-med.ac.jp.
  • Taro Oba
    Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan.
  • Masaru Hagiwara
    Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan.
  • Masatoshi Kakihana
    Department of Surgery, Tokyo Medical University, Japan.
  • Jinho Park
    Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, 49 Convent Dr., Bethesda, MD 20894, USA.
  • Tatuso Ohira
    Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan.
  • Norihiko Ikeda
    Committee for Promotion of Remote Surgery Implementation, Japan Surgical Society, Tokyo, Japan.

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