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