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大体积患者使用双能量双源 CT 进行尿石症鉴别诊断。

Urinary stone differentiation in patients with large body size using dual-energy dual-source computed tomography.

机构信息

Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA.

出版信息

Eur Radiol. 2013 May;23(5):1408-14. doi: 10.1007/s00330-012-2727-4. Epub 2012 Dec 21.

DOI:10.1007/s00330-012-2727-4
PMID:23263603
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3780962/
Abstract

OBJECTIVE

To evaluate the ability of 100/Sn140 kV (Sn, tin filter) dual-energy computed tomography (CT) to differentiate urinary stone types in a patient cohort with a wide range of body sizes.

METHODS

Eighty human urinary stones were categorised into four groups (uric acid; cystine; struvite, oxalate and brushite together; and apatite) and imaged in 30-50-cm-wide water tanks using clinical 100/Sn140 kV protocols. The CT number ratio (CTR) between the low- and high-energy images was calculated. Thresholds for differentiating between stone groups were determined using receiver operating characteristics (ROC) analysis. Additionally, 86 stones from 66 patients were characterised using the size-adaptive CTR thresholds determined in the phantom study.

RESULTS

In phantoms, the area under the ROC curve for differentiating between stone groups ranged from 0.71 to 1.00, depending on phantom size. In patients, body width ranged from 28.5 to 50.0 cm, and 79.1 % of stones were correctly characterised. Sensitivity and specificity for correctly identifying the stone category were 100 % and 100 % (group 1), 100 % and 95.3 % (group 2), 85.7 % and 60.9 % (group 3), and 52.6 % and 92.5 % (group 4).

CONCLUSION

Dual-energy CT can provide in vivo urinary stone characterisation for patients over a wide range of body sizes.

KEY POINTS

• Dual-energy CT helps assessment of urinary stone composition in vivo. • 100/Sn140 kV DECT differentiates among four stone types with 79.1 % accuracy. • In vivo diagnostic test achievable in patients with many body sizes.

摘要

目的

评估 100/Sn140 kV(Sn,锡滤器)双能 CT 在体重大范围变化的患者人群中区分尿石类型的能力。

方法

将 80 个人类尿石分为 4 组(尿酸;胱氨酸;鸟粪石、草酸钙和一水合磷酸氢钙;磷灰石),并使用临床 100/Sn140 kV 方案在 30-50cm 宽的水箱中进行成像。计算低能和高能图像之间的 CT 数比(CTR)。使用受试者工作特征(ROC)分析确定区分结石组的阈值。此外,使用在体模研究中确定的大小自适应 CTR 阈值对 66 名患者的 86 颗结石进行了特征描述。

结果

在体模中,根据体模大小,区分结石组的 ROC 曲线下面积范围为 0.71 至 1.00。在患者中,体宽范围为 28.5 至 50.0cm,79.1%的结石得到正确描述。正确识别结石类别的灵敏度和特异性分别为 100%和 100%(组 1)、100%和 95.3%(组 2)、85.7%和 60.9%(组 3)和 52.6%和 92.5%(组 4)。

结论

双能 CT 可在体为广泛体型的患者提供尿石特征。

关键点

• 双能 CT 有助于评估体内尿石成分。• 100/Sn140 kV DECT 可区分 4 种结石类型,准确率为 79.1%。• 可在体型差异较大的患者中进行体内诊断试验。

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AJR Am J Roentgenol. 2011 Jun;196(6):1279-87. doi: 10.2214/AJR.10.5041.
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双能 CT 用于尿路结石评估。
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MULTI-ENERGY CONE-BEAM CT RECONSTRUCTION WITH A SPATIAL SPECTRAL NONLOCAL MEANS ALGORITHM.基于空间谱非局部均值算法的多能量锥束CT重建
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