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展示采用宝石光谱成像软件的双能计算机断层扫描在体外确定混合成分和单一成分尿路结石方面的功效。

Demonstrating the Efficacy of Dual Energy Computer Tomography with Gemstone Spectral Imaging Software to Determine Mixed and Single Composition ex vivo Urolithiasis.

作者信息

Magee Daniel, Jeewa Feroza, Chau Matthew Vinh-Hoan Dinh, Loh Pamphila Lovelle, Ballesta Martinez Begona, Saluja Manmeet, Aw Ivan H, Lozinskiy Mikhail, Lee Sunny, Rosenberg Melanie, Yuiminaga Yuigi

机构信息

Department of Urology, Royal Perth Hospital, Perth, WA, Australia.

Department of Urology, University of Patras, Patras, Greece.

出版信息

Res Rep Urol. 2024 Sep 25;16:215-224. doi: 10.2147/RRU.S473167. eCollection 2024.

Abstract

OBJECTIVE

To assess the capability of determining the mixed chemical composition of urinary stones using spectral imaging properties of Dual Energy Computed Tomography (DECT) Gemstone Spectral Imaging (GSI) software.

MATERIAL AND METHODS

Twenty-six single and 24 mixed composition ex vivo urinary stones with known chemical composition determined by Fourier-transform infrared spectroscopy (FTIR) prior to this project were scanned with DECT imaging and GSI in vitro. The major components of the stones included Uric Acid (UA), Calcium Oxalate (CaOx), Calcium Phosphate (CaP), Magnesium Ammonium Phosphate (MAP), and Cystine (Cys). A histogram to display the distribution of the effective atomic number (Z-eff) of each pixel of the tested area, spectral curve (40-140 keV, with 10 keV interval) and Hounsfield Units (HU) of each stone scanned was provided with analysis of monochromatic images at 140 keV in the axial plane.

RESULTS

The overall pooled sensitivity, specificity, and accuracy of DECT for identifying major stone composition were 0.802, 0.831, and 0.807, respectively, with a 95% confidence interval. Accuracy was 100% for identifying UA and Cys stones.

CONCLUSION

DECT is a superior imaging modality when compared to low dose computed tomography kidney ureter bladder scans. It allows for improved characterization of major components of urinary stones, in an accurate, non-invasive approach to pre-treatment. This can translate to urologists having greater confidence in determining patient suitability for medical or surgical management of their renal stones, in clinical practice.

摘要

目的

利用双能计算机断层扫描(DECT)宝石光谱成像(GSI)软件的光谱成像特性评估确定尿石混合化学成分的能力。

材料与方法

在本项目之前,通过傅里叶变换红外光谱(FTIR)确定了26颗单一成分和24颗混合成分的离体尿石的化学成分,然后对其进行体外DECT成像和GSI扫描。结石的主要成分包括尿酸(UA)、草酸钙(CaOx)、磷酸钙(CaP)、磷酸镁铵(MAP)和胱氨酸(Cys)。提供了一个直方图,以显示测试区域每个像素的有效原子序数(Z-eff)分布、光谱曲线(40-140 keV,间隔10 keV)以及每颗扫描结石的亨氏单位(HU),并对轴向平面上140 keV的单色图像进行分析。

结果

DECT识别主要结石成分的总体合并敏感性、特异性和准确性分别为0.802、0.8

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a515/11439343/e23edfa0429e/RRU-16-215-g0001.jpg

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