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

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

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 eval...

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Bibliographic Details
Main Authors: Wataru Shigeeda, Ryuichi Yosihimura, Yuji Fujita, Hidekazu Saiki, Hiroyuki Deguchi, Makoto Tomoyasu, Satoshi Kudo, Yuka Kaneko, Hironaga Kanno, Yoshihiro Inoue, Hajime Saito
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Thoracic Cancer
Subjects:
mass spectrometry
metastatic pulmonary tumor
pulmonary adenocarcinoma
Online Access:https://doi.org/10.1111/1759-7714.14246

Internet

https://doi.org/10.1111/1759-7714.14246

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