Infrared Analysis of Urinary Stones: a Trial of Automated Identification
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Laurence Maurice Estepa
Abstract
A Search algorithm included in the Opus software of Bruker (Germany) was evaluated for analysis of urinary stones. Three reference libraries containing respectively 85 (single components), 1,059 (binary mixtures) and 4,565 (ternary mixture) digitized spectra were created and used to identify unknown spectra (n=320), applying the automatic procedure. Identification of the major component was correct in 83% of cases but the percentage of identification significantly decreased for the second and the third components. In cases of identification of the two first components, quantitative assessment was correct within tolerance limits ± 15%.
The computer results are judged unsatisfactory with regard to pathology because computer-aided identification is not sufficiently sensitive and specific to differentiate species with similar spectral pattern, even for the identification of main component, and also to detect minor components. It can be of assistance to guide spectral analysis, but it cannot replace human identification.
Copyright © 1999 by Walter de Gruyter GmbH & Co. KG
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- Contents
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Articles in the same Issue
- Author Index
- Contents
- Subject Index
- Strategies for Cardiac Marker Measurement
- Statistical Techniques for Evaluating the Diagnostic Utility of Laboratory Tests
- Magnesium in Disease: a Review with Special Emphasis on the Serum Ionized Magnesium
- Methods for Improving Clinical Trials
- Infrared Analysis of Urinary Stones: a Trial of Automated Identification
- Evaluation of a Direct α-Amylase Assay Using 2-Chloro-4-nitrophenyl-α-D-maltotrioside
- Accurate Platelet Counting in an Insidious Case of Pseudothrombocytopenia
- A New Liquid Homogeneous Assay for HDL Cholesterol Determination Evaluated in Seven Laboratories in Europe and the United States
- Tissue Release of Cardiac Markers: from Physiology to Clinical Applications
- The Specificity of Biochemical Markers of Cardiac Damage: a Problem Solved
- Biochemical Factors Influencing Measurement of Cardiac Troponin I in Serum
- The Sensitivity of Cardiac Markers: an Evidence-based Approach
- Risk Stratification and Therapeutic Decision Making in Patients with Acute Coronary Syndromes the Role of Cardiac Troponin T
- Cardiac Markers: Centralized or Decentralized Testing?
- EC4 European Syllabus for Post-Graduate Training in Clinical Chemistry. Version 2 – 1999
- Plasma Malondialdehyde and Obesity: Is there a Relationship?
- Reference Intervals: Are Interlaboratory Differences Appropriate?
- Lipoprotein Protocols. By J.M. Ordovas, editor
- Tietz Textbook of Clinical Chemistry. By C.A. Burtis and E.R. Ashwood, editors