Mohd Ali Dk Mella, Mahmud Mohd Hafizi, Mohamad Noor Shafini
Centre of Medical Imaging, Faculty of Health Sciences, Universiti Teknologi MARA (UiTM) Selangor Branch, Puncak Alam Campus, Selangor, Malaysia.
Radiology Department, Hospital Tengku Ampuan Afzan Pahang, Pahang, Malaysia.
Malays J Med Sci. 2020 Oct;27(5):43-52. doi: 10.21315/mjms2020.27.5.5. Epub 2020 Oct 27.
The current clinical practice to manage kidney stone requires knowledge of the stone composition. However, it is often difficult to determine the actual stone composition before a stone is operatively removed from the patient. Dual-energy computed tomography (DECT) can predict urinary stone composition, but it is not widely adopted. The purpose of the study was to investigate the use of a second-generation DECT with tin or stannum (Sn) filter for characterising the kidney stones composition.
Thirty-three kidney stones were scanned ex vivo using a dual-source (DS)-DECT scanner with dual-energy (DE) mode of 80/140 kVp with and without 4 mm Sn filtration. DE ratio was calculated to determine the kidney stones composition (uric acid, calcium oxalate, calcium phosphate and cystine). The median DE ratio of the stones was compared using Wilcoxon signed rank test and the results were further correlated with semi-quantitative Fourier transform infrared (FTIR) spectroscopy analysis using Kendall's Tau test with < 0.05 deemed to be statistically significant.
Second-generation DS-DECT could significantly discriminate the stones composition with and without Sn filtration ( < 0.001). The median DE ratio of uric acid, calcium oxalate and cystine stones were significantly higher with Sn filtration than those without filtration ( < 0.05). DECT results revealed significant correlation with FTIR spectroscopy analysis ( = 0.716, < 0.001). DECT with Sn filtration showed increased performance (100% sensitivity, 0% specificity) than those without filtration (48.5% sensitivity, 0% specificity) in the detection of the kidney stone subtypes.
In the second-generation DECT with additional Sn filtration, DECT has shown a significant performance in characterising and discriminating the kidney stone composition. This may improve diagnostic and therapy management in kidney stones cases.
目前肾结石的临床治疗需要了解结石成分。然而,在结石从患者体内手术取出之前,往往难以确定其实际成分。双能计算机断层扫描(DECT)可以预测尿结石成分,但尚未广泛应用。本研究的目的是探讨使用带有锡(Sn)滤过器的第二代DECT来表征肾结石成分。
使用双源(DS)-DECT扫描仪对33颗肾结石进行离体扫描,扫描采用80/140 kVp的双能(DE)模式,有和没有4 mm锡滤过。计算DE比值以确定肾结石成分(尿酸、草酸钙、磷酸钙和胱氨酸)。使用Wilcoxon符号秩检验比较结石的中位数DE比值,并使用Kendall's Tau检验将结果与半定量傅里叶变换红外(FTIR)光谱分析进一步关联,P < 0.05被认为具有统计学意义。
第二代DS-DECT在有和没有锡滤过的情况下能够显著区分结石成分(P < 0.001)。有锡滤过的尿酸、草酸钙和胱氨酸结石的中位数DE比值显著高于无滤过的情况(P < 0.05)。DECT结果与FTIR光谱分析显示出显著相关性(r = 0.716,P < 0.001)。在检测肾结石亚型方面,有锡滤过的DECT表现出比无滤过的更高的性能(100%敏感性,0%特异性)(48.5%敏感性,0%特异性)。
在带有额外锡滤过的第二代DECT中,DECT在表征和区分肾结石成分方面表现出显著性能。这可能改善肾结石病例的诊断和治疗管理。