双能多探测器计算机断层扫描:一种高度准确的非侵入性体内肾结石化学成分测定工具

IF 0.3 Q3 MEDICINE, GENERAL & INTERNAL
Shafqat Shabir Bhawani, M. Jehangir, Mohammad Masood, S. Dar, Sajad Nazir Syed
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引用次数: 1

摘要

介绍。计算机断层扫描由于其高灵敏度和时间分辨率,在评估肾结石方面比排泄尿路造影更准确;它允许对结石的大小和位置进行亚毫米级的评估,但不能评估它们的化学成分。双能量计算机断层扫描允许在两个不同的能量水平上同时获取图像来评估尿路结石的化学成分。本研究的目的是利用双能多检测器计算机断层扫描确定肾结石的组成,以及其与提取后结石化学分析的相关性。材料与方法。这项前瞻性研究于2017年9月至2019年3月在放射诊断和影像学进行。本研究共纳入50例年龄在18-70岁的尿石症患者。记录各种结石的双能ct比,并根据结石的颜色和双能ct比给出术前结石的组成。这些结果与提取后的石头化学分析(使用傅里叶红外变换光谱作为标准比较方法)进行了比较。结果。在我们的研究人群中最常见的结石类型是草酸钙结石(78%),其次是尿酸结石(12%)、胱氨酸结石(6%)和羟基磷灰石结石(4%)。草酸钙、尿酸、胱氨酸和羟基磷灰石结石的双能比分别为1.38 ~ 1.59、0.94 ~ 1.08、1.20 ~ 1.28和1.52 ~ 1.57,平均双能比分别为1.43、1.01、1.25和1.55。双能计算机断层扫描被发现对区分尿酸结石和非尿酸结石具有100%的敏感性和特异性。鉴别草酸钙结石和非草酸钙结石的敏感性和特异性分别为97.5%和90.9%,准确率为96%,kappa值为0.883,一致性强。结论。双能计算机断层扫描对不同类型肾结石的鉴别具有高度的敏感性和准确性。尿酸型结石可通过药物治疗,而非尿酸型结石多数需要手术治疗,因此尿酸型结石在治疗中具有重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual-Energy Multidetector Computed Tomography: A Highly Accurate Non-Invasive Tool for in Vivo Determination of Chemical Composition of Renal Calculi
Introduction. Computed tomography is more accurate than excretory urography in evaluation of renal stones due to its high sensitivity and temporal resolution; it permits sub-millimetric evaluation of the size and site of calculi but cannot evaluate their chemical composition. Dual-energy computed tomography allows evaluating the chemical composition of urinary calculi using simultaneous image acquisition at two different energy levels. The objective of the research was to determine renal stone composition using dual-energy multidetector computed tomography, and its correlation with post-extraction chemical analysis of stones. Materials and Methods. This prospective study was conducted in the Department of Radiodiagnosis and Imaging from September 2017 to March 2019. A total of 50 patients with urolithiasis at the age of 18-70 years were included in the study. Dual-energy computed tomography ratios of various stones were noted, and preoperative composition of calculi was given based on their colour and dual-energy computed tomography ratio. These results were compared with the post-extraction chemical analysis of stones (using Fourier infrared transform spectroscopy as the standard comparative method.) Results. The most common type of calculi in our study population was calcium oxalate stones (78%) followed by uric acid stones (12%), cystine stones (6%) and hydroxyapatite stones (4%). The dual-energy ratio of calcium oxalate, uric acid, cystine and hydroxyapatite stones ranged from 1.38-1.59, 0.94-1.08, and 1.20-1.28 and 1.52-1.57, respectively, with the mean dual-energy ratio of 1.43, 1.01, 1.25 and 1.55, respectively. Dual-energy computed tomography was found to be 100% sensitive and specific for differentiating uric acid stones from non‑uric acid stones. The sensitivity and specificity in differentiating calcium oxalate calculus from non‑calcium oxalate calculus was 97.5% and 90.9%, respectively, with 96% accuracy and kappa value of 0.883 suggesting strong agreement. Conclusions. Dual-energy computed tomography is highly sensitive and accurate in distinguishing between various types of renal calculi. It has vital role in management as uric acid calculi are amenable to drug treatment, while most of non-uric acid calculi require surgical intervention.
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