Li Xian, Wang Lu-Ping, Ou Li-Li, Huang Xiao-Yan, Zeng Qing-Si, Wu Wen-Qi
The Radiology Department of the First Affiliated Hospital of Guangzhou Medical University, Guangdong, Guangzhou, 51020, People's Republic of China.
The Urology Department of the First Affiliated Hospital of Guangzhou Medical University, Guangdong, Guangzhou, 51020, People's Republic of China.
World J Urol. 2021 Sep;39(9):3631-3642. doi: 10.1007/s00345-021-03597-6. Epub 2021 Jan 25.
To analyze various compositions of urinary stones using revolution spectral CT (rapid kV switching dual-energy CT) in vivo.
202 patients with urinary stones underwent spectral CT before surgery. Zeff peak, overall scope and CT values were detected. Moreover, water/iodine attenuating material images were obtained. Removed stones were subjected to infrared spectroscopy after surgery. The results of infrared spectroscopy were compared with CT.
28 stones (14.08%) with single composition, 165 stones with two mixed compositions (81.68%), and 9 stones with three mixed compositions (4.46%) were observed. When Zeff peaks of stones with single/mixed compositions were summarized together, 146 peaks of calcium oxalate monohydrate, 119 peaks of calcium oxalate dihydrate, 55 peaks of carbapatite, 38 peaks of urate, 16 peaks of struvite, and 11 peaks of brushite were totally observed. 93.8% of calcium oxalate monohydrate had Zeff peaks between 13.3 and 14.0. 91.6% of calcium oxalate dihydrate had peaks between 12.0 and 13.3. For carbapatite, 90.9% of stones had peaks from 14.0 to 15.0. A total of 94.8% of urate had peaks between 7.0 and 11.0. 93.8% of struvite had peaks between 11.0 and 13.0, and 90.9% of brushite had peaks between 12.0 and 14.0. Moreover, densities of urate, struvite and brushite were low density in iodine-based images and high-density in water-based images.
The in-vivo analysis of spectral CT in urinary stone revealed characteristics of different compositions, especially mixed compositions. An in-vivo predictive model may be constructed to distinguish stone compositions.
利用容积扫描光谱CT(快速千伏切换双能CT)对尿路结石的各种成分进行体内分析。
202例尿路结石患者在手术前行光谱CT检查。检测有效原子序数峰值、整体范围及CT值。此外,还获得了水/碘衰减物质图像。术后将取出的结石进行红外光谱分析。将红外光谱分析结果与CT结果进行比较。
观察到28块结石(14.08%)为单一成分,165块结石为两种混合成分(81.68%),9块结石为三种混合成分(4.46%)。当将单一/混合成分结石的有效原子序数峰值汇总在一起时,共观察到146个一水草酸钙峰值、119个二水草酸钙峰值、55个碳酸磷灰石峰值、38个尿酸盐峰值、16个磷酸铵镁峰值和11个透钙磷石峰值。93.8%的一水草酸钙有效原子序数峰值在13.3至14.0之间。91.6%的二水草酸钙峰值在12.0至13.3之间。对于碳酸磷灰石,90.9%的结石峰值在14.0至15.0之间。总共94.8%的尿酸盐峰值在7.0至11.0之间。93.8%的磷酸铵镁峰值在11.0至13.0之间,90.9%的透钙磷石峰值在12.0至14.0之间。此外,尿酸盐结石、磷酸铵镁结石和透钙磷石结石在基于碘的图像中密度较低,在基于水的图像中密度较高。
光谱CT对尿路结石的体内分析揭示了不同成分的特征,尤其是混合成分。可构建体内预测模型以区分结石成分。