VALIDATION OF A NATURAL URINARY STONE DATA-BASED INFRARED LIBRARY SEARCHING SYSTEM WITH ARTIFICIAL SURVEY SAMPLES

In this study we evaluated a Fourier transform IR spectrometer (Bio-Ra d, USA) equipped with a search system for the analysis of urinary ston es. We constructed a database of the stone library with the help of re sults found with X-ray diffraction analysis. In total, we included 223 stone results (213 natural and 10 spurious stones) consisting of sing le and composite nature. Regarding the latter we used many comparable and many diverging combinations. Applying 60 artificial referee sample s that were used in the urinary stone surveys as organized by the Germ an Society for Clinical Chemistry, we found the instrument hit quality index alone, as a measure of best spectral match not entirely suffici ent in relation to acceptable performance. This was also caused by the absence of some rare components. Of those 60 survey samples, 17 did n ot meet the guidelines of the survey organization. These guidelines ar e: qualitatively correct and quantitatively within tolerance limits +/ - 20%. Though a number of these samples seemed irrelevant in a clinica l setting, they nevertheless represent a challenge for better performa nce. In the second round, therefore, we included new entries and human expertise as well, which resulted in an upgrading of the score. We on ly missed, finally, 4 combinations, mainly related to the purine molec ule, i.e. uric acid, sodium urate and ammonium urate. In conclusion, b ased on extension of the library, we consider the search system as acc eptable. Despite that, human interpretation proved to be necessary.