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利用计算机断层扫描上的亨氏单位鉴别输尿管结石和静脉石:一种无观察者偏差的新方法。

Differentiation of ureteral stones and phleboliths using Hounsfield units on computerized tomography: a new method without observer bias.

作者信息

Tanidir Yiloren, Sahan Ahmet, Asutay Mehmet Kazim, Sener Tarik Emre, Talibzade Farhad, Garayev Asgar, Tinay Ilker, Sekerci Cagri Akin, Simsek Ferruh

机构信息

Department of Urology, School of Medicine, Marmara University, Istanbul, Turkey.

Marmara Universitesi Pendik Egitim ve Arastırma Hastanesi, Fevzi Cakmak Mah., Mimar Sinan Cad. 41, Ust Kaynarca, Pendik, 34899, Istanbul, Turkey.

出版信息

Urolithiasis. 2017 Jun;45(3):323-328. doi: 10.1007/s00240-016-0918-1. Epub 2016 Sep 16.

DOI:10.1007/s00240-016-0918-1
PMID:27638519
Abstract

To differentiate ureteral stones and phleboliths by measuring density [as Hounsfield unit (HU)] and volume (as mm) of the opacities in the bony pelvis on unenhanced computerized tomography (U-CT). A total of 52 patients, who underwent semirigid ureteroscopy and laser lithotripsy for distal ureteral stone and had isochoronous phleboliths in U-CT, were included. Images were reviewed for density and volume of the opacities. Data were compared, and a cut-off value was defined with receiver operating characteristics curve analysis to differentiate the nature of the opacity. Using the cut-off values of 171 mm³ for volume (sensitivity 75 %, specificity 100 %) and 643 HU for density (sensitivity 75 %, specificity 93 %), differentiation between stone and phlebolith was achieved. Differentiation of pelvic opacities needs meticulous observation with certain signs on U-CT. On the other hand, our study offers a new method, with certain cut-off values, such as 643 HU and 171 mm, which can be used to precisely predict the actual nature of opacities of interest.

摘要

通过在非增强计算机断层扫描(U-CT)上测量骨盆中不透明影像的密度[以亨氏单位(HU)表示]和体积(以毫米表示)来区分输尿管结石和静脉石。纳入了总共52例接受半硬性输尿管镜检查和激光碎石术治疗远端输尿管结石且在U-CT上有同期静脉石的患者。对影像的密度和体积进行了评估。对数据进行比较,并通过受试者操作特征曲线分析确定一个临界值,以区分不透明影像的性质。使用体积的临界值171立方毫米(灵敏度75%,特异性100%)和密度的临界值643 HU(灵敏度75%,特异性93%),实现了结石和静脉石的区分。骨盆不透明影像的区分需要在U-CT上通过某些征象进行细致观察。另一方面,我们的研究提供了一种新方法,具有诸如643 HU和171毫米等特定临界值,可用于精确预测感兴趣的不透明影像的实际性质。

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