Utility of mass spectrometry and artificial intelligence for differentiating primary lung adenocarcinoma and colorectal metastatic pulmonary tumor.

Journal: Thoracic cancer
Published Date: Nov 23, 2021

Abstract

BACKGROUND: Rapid intraoperative diagnosis for unconfirmed pulmonary tumor is extremely important for determining the optimal surgical procedure (lobectomy or sublobar resection). Attempts to diagnose malignant tumors using mass spectrometry (MS) have recently been described. This study evaluated the usefulness of MS and artificial intelligence (AI) for differentiating primary lung adenocarcinoma (PLAC) and colorectal metastatic pulmonary tumor.

Authors

  • Wataru Shigeeda
    Department of Thoracic Surgery, Iwate Medical University, Iwate, Japan.
  • Ryuichi Yosihimura
    Department of Thoracic Surgery, Iwate Medical University, Iwate, Japan.
  • Yuji Fujita
    Division of Critical Care Medicine, Department of Critical Care, Disaster and General Medicine, Iwate Medical University, Iwate, Japan.
  • Hidekazu Saiki
    Shimadzu Corporation, Kyoto, Japan.
  • Hiroyuki Deguchi
    Department of Thoracic Surgery, Iwate Medical University, Iwate, Japan.
  • Makoto Tomoyasu
    Department of Thoracic Surgery, Iwate Medical University, Iwate, Japan.
  • Satoshi Kudo
    Department of Thoracic Surgery, Iwate Medical University, Iwate, Japan.
  • Yuka Kaneko
    Department of Thoracic Surgery, Iwate Medical University, Iwate, Japan.
  • Hironaga Kanno
    Department of Thoracic Surgery, Iwate Medical University, Iwate, Japan.
  • Yoshihiro Inoue
    Laboratory of Pharmaceutical Sciences and Education, Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan. inoue@ac.shoyaku.ac.jp.
  • Hajime Saito
    Department of Thoracic Surgery, Iwate Medical University, Iwate, Japan.

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