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尿石分析中成分变异的调查与量化。

Investigation and quantification of composition variability in urinary stone analysis.

机构信息

Department of Biomedical Sciences, Chonnam National University Medical School, Gwangju, Korea.

Department of Urology, Saint Paul Hospital, Hanoi, Vietnam.

出版信息

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

DOI:10.4111/icu.20240275
PMID:39249925
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11390264/
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.

摘要

目的

研究由于采样导致的尿石成分分析的可变性,并提出潜在的解决方案。

材料和方法

我们从 2022 年 1 月至 2022 年 8 月在河内医科大学附属医院进行的 149 例结石清除术中共收集了 1135 个结石碎片。如果数量充足,每个碎片都被研磨成细粉并分成单独的标本。对于每个标本的成分分析,我们都进行了傅里叶变换红外光谱分析。给定碎片的成分是其所属标本的平均值。通过在碎片水平(即一个实例中不同碎片之间)评估成分的可变性。如果给定碎片的任何成分之间的最大差异等于或大于给定阈值,则我们将该实例定义为“明显可变”。

结果

平均每个实例有 7.6±3.3 个结石碎片,每个碎片有 2.3±0.5 个标本。我们发现,在碎片水平上,这种可变性可能很大。如果阈值设定为 20%和 30%,则 128 个多成分实例中有 89 个(69.5%)和 70 个(54.7%)明显可变。实例在碎片水平上的可变性与碎片的大小和成分的数量有关。

结论

我们的研究表明尿石成分分析存在显著的可变性,并表明其与样本的大小和杂质有关。在采样和分析时映射标记以及报告单个碎片的成分可能有助于减少潜在的可变性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3dc/11390264/6d254a499aa7/icu-65-511-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3dc/11390264/83c42dd9525c/icu-65-511-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3dc/11390264/2b5f6cf9596d/icu-65-511-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3dc/11390264/cf025f4a4b6e/icu-65-511-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3dc/11390264/6d254a499aa7/icu-65-511-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3dc/11390264/83c42dd9525c/icu-65-511-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3dc/11390264/2b5f6cf9596d/icu-65-511-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3dc/11390264/cf025f4a4b6e/icu-65-511-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c3dc/11390264/6d254a499aa7/icu-65-511-g004.jpg

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Korean Society of Endourology and Robotics (KSER) recommendation on the diagnosis, treatment, and prevention of urolithiasis.
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Investig Clin Urol. 2023 Jul;64(4):325-337. doi: 10.4111/icu.20230102.
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Clinical characteristics of surgically managed patients with asymptomatic renal stones: Comparison of patients with symptomatic renal stones.手术治疗无症状肾结石患者的临床特征:与有症状肾结石患者的比较。
Investig Clin Urol. 2023 Mar;64(2):161-167. doi: 10.4111/icu.20220271.
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Towards automatic recognition of pure and mixed stones using intra-operative endoscopic digital images.利用术中内窥镜数字图像自动识别纯结石和混合结石。
BJU Int. 2022 Feb;129(2):234-242. doi: 10.1111/bju.15515. Epub 2021 Jul 14.
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Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning.迈向一种使用集成学习的输尿管镜肾结石图像自动分类方法。
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Prevalence and Trends in Kidney Stone Among Adults in the USA: Analyses of National Health and Nutrition Examination Survey 2007-2018 Data.美国成年人肾结石的患病率和趋势:对 2007-2018 年国家健康和营养调查数据的分析。
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The surgeon's role on chemical investigations of the composition of urinary stones.外科医生在尿路结石成分的化学研究中的作用。
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