Investig Clin Urol.  2024 Sep;65(5):511-517. 10.4111/icu.20240275.

Investigation and quantification of composition variability in urinary stone analysis

Affiliations
  • 1Department of Biomedical Sciences, Chonnam National University Medical School, Gwangju, Korea
  • 2Department of Urology, Saint Paul Hospital, Hanoi, Vietnam
  • 3Department of Urology, Chonnam National University Medical School and Hospital, Gwangju, Korea
  • 4Department of Urology, Hanoi Medical University Hospital, Hanoi, Vietnam
  • 5Department of Surgery, Hanoi Medical University, Hanoi, Vietnam
  • 6Department of Radiology, Chonnam National University Medical School and Hospital, Gwangju, Korea
  • 7Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju, Korea
  • 8Department of Data Science, Chonnam National University, Gwangju, Korea

Abstract

Purpose
To investigate the variability in urinary stone composition analysis due to sampling and suggest potential solutions.
Materials and Methods
We collected 1,135 stone fragments from 149 instances that had undergone a stone removal at Hanoi Medical University Hospital from January 2022 to August 2022. Each fragment was ground into fine powder and divided into separate specimens if the amount was abundant. For composition analyzing every specimen, Fourier transform infrared spectroscopy was performed. The composition of a given fragment was the average of its belonging specimens. The variability in composition was assessed on the fragment level (i.e., between fragments of an instance). We defined an instance as “significantly variable” if the maximum difference in any composition across its belonging fragments was equal to or greater than a given threshold.
Results
On average, there were 7.6±3.3 stone fragments per instance and 2.3±0.5 specimens per fragment. We found that the variability could be substantial on the fragment level. Eighty-nine (69.5%) and 70 (54.7%) out of 128 multiple-component instances were significantly variable if the threshold was set at 20% and 30%, respectively. The variability of an instance on the fragment level was correlated with the size of fragment and the number of components.
Conclusions
Our study demonstrated the significant variability in urinary stone composition and showed that it correlated with the size and the impurity of samples. Mapping denotation while sampling and analyzing as well as reporting the composition of individual fragments could be valuable to reduce potential variability.

Keyword

Fourier transform infrared spectroscopy; Sampling error; Urinary stones
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