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双源双能 CT 在大体型患者尿路结石检测和特征分析中的应用:一项大样本队列研究观察

Dual-Source Dual-Energy CT in Detection and Characterization of Urinary Stones in Patients With Large Body Habitus: Observations in a Large Cohort.

机构信息

1 Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA 02114.

2 Department of Urology, Massachusetts General Hospital, Boston, MA.

出版信息

AJR Am J Roentgenol. 2019 Apr;212(4):796-801. doi: 10.2214/AJR.18.20293. Epub 2019 Jan 23.

Abstract

OBJECTIVE

The objective of our study was to investigate the impact of large body habitus on dual-energy CT (DECT) image quality and stone characterization.

MATERIALS AND METHODS

We retrospectively included 105 consecutive patients with large body habitus (> 90 kg) who underwent stone protocol DECT between 2015 and 2017. The evaluation of DECT datasets was performed for image quality assessment based on European Guidelines on Quality Criteria for Computed Tomography and for determination of stone composition (i.e., uric acid vs non-uric acid). Correlation between DECT characterization and crystallography results was performed when available. The cohort was divided into two groups on the basis of body weight (≤ 104 kg and > 104 kg), and comparisons were made for image quality and stone characterization.

RESULTS

One hundred ninety-seven urinary tract calculi (size: mean ± SD, 5.7 ± 5.3 mm; range, 1.4-56 mm) were detected in 73% (79/108) of examinations in 105 patients (weight: mean ± SD, 104.0 ± 12.7 kg; range, 91-163 kg). The overall mean image quality score of blended images and color maps was 3.7 and 3.9, respectively, and the effective dual-energy FOV limitation did not hamper stone characterization. The diagnostic acceptability scores of blended images and color maps were slightly lower in patients weighing > 104 kg than in patients ≤ 104 kg (mean scores [highest score, 4 points]: blended images, 3.62 vs 3.82 [p = 0.0314]; color maps, 3.75 vs 3.98 [p = 0.0034]), but the scores were within acceptable range. Stone characterization as uric acid versus non-uric acid was achieved in 80% (158/197) of calculi (size: mean ± SD, 6.4 ± 5.7 mm; range, 1.6-56 mm), and DECT stone characterization was (95.6%) accurate with reference to crystallography. Twenty percent (39/197) of calculi could not be characterized on DECT, and these calculi were significantly smaller in size (size: mean ± SD, 2.8 ± 1.4 mm; range, 1.4-8.2 mm; p < 0.001) than those that could be characterized. The mean size of uncharacterized calculi was slightly larger in patients weighing > 104 kg (3.3 ± 1.6 mm) than in those weighing ≤ 104 kg (2.2 ± 0.6 mm).

CONCLUSION

In patients with large body habitus, dual-source DECT provides acceptable image quality and allows characterization of almost all clinically significant calculi.

摘要

目的

本研究的目的是探讨大体型对双能 CT(DECT)图像质量和结石特征的影响。

材料与方法

我们回顾性纳入了 2015 年至 2017 年间行结石 protocol DECT 的 105 例体型较大(>90kg)的连续患者。根据欧洲 CT 质量标准指南对 DECT 数据集进行评估,以进行图像质量评估和结石成分(即尿酸与非尿酸)的确定。当有结晶学结果时,对 DECT 特征与结晶学结果进行相关性分析。根据体重将队列分为两组(≤104kg 和>104kg),比较两组的图像质量和结石特征。

结果

在 105 例患者的 108 次检查中(体重:平均值±标准差,104.0±12.7kg;范围,91-163kg),共检出 197 个泌尿系结石(大小:平均值±标准差,5.7±5.3mm;范围,1.4-56mm)。混合图像和彩色图谱的总体平均图像质量评分为 3.7 和 3.9,有效双能 FOV 限制并不妨碍结石特征的确定。体重>104kg 患者的混合图像和彩色图谱诊断可接受评分(最高 4 分)均略低于体重≤104kg 患者(混合图像:3.62 比 3.82,p=0.0314;彩色图谱:3.75 比 3.98,p=0.0034),但评分均处于可接受范围。通过 DECT 将结石特征确定为尿酸与非尿酸的比例为 80%(158/197)(大小:平均值±标准差,6.4±5.7mm;范围,1.6-56mm),与结晶学相比,DECT 结石特征的准确率为 95.6%。20%(39/197)的结石无法通过 DECT 进行特征确定,这些结石的大小明显较小(大小:平均值±标准差,2.8±1.4mm;范围,1.4-8.2mm;p<0.001)。体重>104kg 患者中未特征确定的结石平均大小(3.3±1.6mm)略大于体重≤104kg 患者(2.2±0.6mm)。

结论

对于体型较大的患者,双源 DECT 可提供可接受的图像质量,并能对几乎所有有临床意义的结石进行特征确定。

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