(1)H NMR spectroscopy of ascitic fluid: discrimination between malignant and benign ascites and comparison of the results with conventional methods

NMR in Biomedicine
Lakshmi BalaC L Khetrapal

Abstract

It is often difficult to distinguish benign ascites from malignant ascites by conventional examination of ascitic fluid. Therefore, (1)H NMR spectroscopy of ascitic fluid specimens was explored as a one-shot experiment to identify potentially interesting metabolic indices that might help to differentiate between the two. Seventy ascitic fluid specimens (15 cytologically positive for malignant cells, eight cytologically negative for malignant cells but remaining suspicious for malignant ascites, and 47 due to liver cirrhosis) were subjected to (1)H NMR spectroscopy for quantitative estimation of 14 metabolites. Mean concentrations of the metabolites were compared with the Mann-Whitney U test. Multivariate discriminant function analysis was performed to determine important descriptors in the discrimination process. The sensitivity and specificity of the proposed model were compared with conventional methods using ascitic fluid protein and serum ascitic albumin gradient. Then, probable predictions for the doubtful cases were made using the proposed model. Patients with malignant ascites had significantly higher mean concentrations (microM) of beta-hydroxybutyrate (594 vs 61), lactate (5384 vs 2104), acetone (136 vs 69), and acetoa...Continue Reading

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Citations

Nov 6, 2012·Digestive and Liver Disease : Official Journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver·Lakshmi BalaChunni Lal Khetrapal
Jan 26, 2010·Clinica Chimica Acta; International Journal of Clinical Chemistry·Alok KumarG Nagesh Babu
Jan 6, 2018·Briefings in Bioinformatics·Rajeev K Azad, Vladimir Shulaev
Feb 13, 2018·Metabolomics : Official Journal of the Metabolomic Society·Santosh K BhartiMarie-France Penet
Nov 27, 2020·Analytical and Bioanalytical Chemistry·Panagiotis GiamougiannisFrancis L Martin

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