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Probe electrospray ionization mass spectrometry-based rapid diagnosis of liver tumors.

Authors :
Hakoda H
Kiritani S
Kokudo T
Yoshimura K
Iwano T
Tanimoto M
Ishizawa T
Arita J
Akamatsu N
Kaneko J
Takeda S
Hasegawa K
Source :
Journal of gastroenterology and hepatology [J Gastroenterol Hepatol] 2022 Nov; Vol. 37 (11), pp. 2182-2188. Date of Electronic Publication: 2022 Aug 16.
Publication Year :
2022

Abstract

Background and Aim: Prompt differential diagnosis of liver tumors is clinically important and sometimes difficult. A new diagnostic device that combines probe electrospray ionization-mass spectrometry (PESI-MS) and machine learning may help provide the differential diagnosis of liver tumors.<br />Methods: We evaluated the diagnostic accuracy of this new PESI-MS device using tissues obtained and stored from previous surgically resected specimens. The following cancer tissues (with collection dates): hepatocellular carcinoma (HCC, 2016-2019), intrahepatic cholangiocellular carcinoma (ICC, 2014-2019), and colorectal liver metastasis (CRLM, 2014-2019) from patients who underwent hepatic resection were considered for use in this study. Non-cancerous liver tissues (NL) taken from CRLM cases were also incorporated into the analysis. Each mass spectrum provided by PESI-MS was tested using support vector machine, a type of machine learning, to evaluate the discriminatory ability of the device.<br />Results: In this study, we used samples from 91 of 139 patients with HCC, all 24 ICC samples, and 103 of 202 CRLM samples; 80 NL from CRLM cases were also used. Each mass spectrum was obtained by PESI-MS in a few minutes and was evaluated by machine learning. The sensitivity, specificity, and diagnostic accuracy of the PESI-MS device for discriminating HCC, ICC, and CRLM from among a mix of all three tumors and from NL were 98.9%, 98.1%, and 98.3%; 87.5%, 93.1%, and 92.6%; and 99.0%, 97.9%, and 98.3%, respectively.<br />Conclusion: This study demonstrated that PESI-MS and machine learning could discriminate liver tumors accurately and rapidly.<br /> (© 2022 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd.)

Details

Language :
English
ISSN :
1440-1746
Volume :
37
Issue :
11
Database :
MEDLINE
Journal :
Journal of gastroenterology and hepatology
Publication Type :
Academic Journal
Accession number :
35945170
Full Text :
https://doi.org/10.1111/jgh.15976