Lombardo F, Bonatti M, Zamboni G A, Avesani G, Oberhofer N, Bonelli M, Pycha A, Pozzi Mucelli R, Bonatti G
Department of Radiology, Ospedale Centrale di Bolzano, Via L. Boehler 5, 39100 Bolzano, Italy.
Department of Radiology, Ospedale Centrale di Bolzano, Via L. Boehler 5, 39100 Bolzano, Italy.
Clin Radiol. 2017 Jun;72(6):490-496. doi: 10.1016/j.crad.2017.01.018. Epub 2017 Feb 28.
To differentiate uric acid from non-uric acid renal stones based on their spectral attenuation values.
The present study was approved by the institutional review board and the need for informed consent was waived. Thirty-three consecutive patients (21 men, 12 women; mean age 55 years) with symptomatic urolithiasis underwent dual-energy computed tomography (DECT) using a second-generation dual-source CT system. Stone composition was assessed by means of chemical analysis after extraction or spontaneous expulsion. The composition of one stone was considered to represent all remaining stones in patients presenting with more than one stone. Image-domain virtual monoenergetic images were generated from the dual-energy datasets. One radiologist evaluated stone attenuation values from 40 to 190 keV; attenuation curves were created and 40/190 keV attenuation ratios calculated. Qualitative evaluation of the spectral attenuation curves was also performed. Imaging findings were compared with laboratory results.
Sixty-two stones were considered in 33 patients (mean diameter 6.5 mm). Fifteen of the 62 stones were mainly composed of uric acid and 47/62 of cysteine or calcium oxalates/phosphates. Forty to 190 keV attenuation ratios were significantly lower for uric acid stones (mean 0.87±0.3) than for non-uric acid stones (mean 3.80±0.6; p<0.0001). Accuracy was 100% with a cut-off value of 1.76. Qualitative analysis of spectral attenuation curves showed unique shapes for uric acid and non-uric acid stones.
Spectral CT quantitatively and qualitatively differentiates uric acid from non-uric acid stones.
根据尿酸和非尿酸肾结石的光谱衰减值对二者进行鉴别。
本研究经机构审查委员会批准,无需知情同意。33例有症状的尿石症患者(21例男性,12例女性;平均年龄55岁)使用第二代双源CT系统接受双能计算机断层扫描(DECT)。结石成分在取出或自行排出后通过化学分析进行评估。对于有不止一块结石的患者,其中一块结石的成分被视为代表所有其余结石的成分。从双能数据集中生成图像域虚拟单能图像。一名放射科医生评估了40至190keV的结石衰减值;绘制了衰减曲线并计算了40/190keV的衰减率。还对光谱衰减曲线进行了定性评估。将影像学结果与实验室结果进行比较。
33例患者共62块结石(平均直径6.5mm)。62块结石中有15块主要由尿酸组成,47/62块由半胱氨酸或草酸钙/磷酸盐组成。尿酸结石的40至190keV衰减率(平均0.87±0.3)显著低于非尿酸结石(平均3.80±0.6;p<0.0001)。截断值为1.76时,准确率为100%。光谱衰减曲线的定性分析显示尿酸结石和非尿酸结石具有独特的形状。
光谱CT在定量和定性方面都能区分尿酸结石和非尿酸结石。