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融合成像技术的临床评估,该技术结合了之前获得的 CT 和实时超声,用于肝转移瘤成像。

Clinical evaluation of spatial accuracy of a fusion imaging technique combining previously acquired computed tomography and real-time ultrasound for imaging of liver metastases.

机构信息

Gustave Roussy Institute, Villejuif, France.

出版信息

Cardiovasc Intervent Radiol. 2011 Apr;34(2):338-44. doi: 10.1007/s00270-010-9979-7. Epub 2010 Sep 16.

Abstract

PURPOSE

This study was designed to evaluate the spatial accuracy of matching volumetric computed tomography (CT) data of hepatic metastases with real-time ultrasound (US) using a fusion imaging system (VNav) according to different clinical settings.

METHODS

Twenty-four patients with one hepatic tumor identified on enhanced CT and US were prospectively enrolled. A set of three landmarks markers was chosen on CT and US for image registration. US and CT images were then superimposed using the fusion imaging display mode. The difference in spatial location between the tumor visible on the CT and the US on the overlay images (reviewer #1, comment #2) was measured in the lateral, anterior-posterior, and vertical axis. The maximum difference (Dmax) was evaluated for different predictive factors. CT performed 1-30 days before registration versus immediately before. Use of general anesthesia for CT and US versus no anesthesia. Anatomic landmarks versus landmarks that include at least one nonanatomic structure, such as a cyst or a calcification

RESULTS

Overall, Dmax was 11.53 ± 8.38 mm. Dmax was 6.55 ± 7.31 mm with CT performed immediately before VNav versus 17.4 ± 5.18 with CT performed 1-30 days before (p < 0.0001). Dmax was 7.05 ± 6.95 under general anesthesia and 16.81 ± 6.77 without anesthesia (p < 0.0015). Landmarks including at least one nonanatomic structure increase Dmax of 5.2 mm (p < 0.0001). The lowest Dmax (1.9 ± 1.4 mm) was obtained when CT and VNav were performed under general anesthesia, one immediately after the other.

CONCLUSIONS

VNav is accurate when adequate clinical setup is carefully selected. Only under these conditions (reviewer #2), liver tumors not identified on US can be accurately targeted for biopsy or radiofrequency ablation using fusion imaging.

摘要

目的

本研究旨在评估根据不同临床情况,使用融合成像系统(VNav)将肝转移瘤的容积计算机断层扫描(CT)数据与实时超声(US)匹配的空间准确性。

方法

前瞻性纳入 24 例增强 CT 和 US 均发现单个肝肿瘤的患者。在 CT 和 US 上选择一组三个标志点进行图像配准。然后使用融合成像显示模式将 US 和 CT 图像叠加。在叠加图像上,肿瘤在 CT 和 US 上的空间位置差异(审阅者#1,评论#2)在侧位、前后位和垂直轴上进行测量。评估不同预测因素的最大差异(Dmax)。CT 分别在登记前 1-30 天和即刻进行。CT 和 US 时使用全身麻醉与不使用麻醉。解剖标志点与包括至少一个非解剖结构(如囊肿或钙化)的标志点。

结果

总体而言,Dmax 为 11.53 ± 8.38mm。VNav 前即刻行 CT 时 Dmax 为 6.55 ± 7.31mm,而 CT 于登记前 1-30 天行时 Dmax 为 17.4 ± 5.18mm(p<0.0001)。全身麻醉时 Dmax 为 7.05 ± 6.95mm,无麻醉时 Dmax 为 16.81 ± 6.77mm(p<0.0015)。至少包含一个非解剖结构的标志点会增加 5.2mm 的 Dmax(p<0.0001)。当 CT 和 VNav 均在全身麻醉下进行,且依次进行时,Dmax 最低(1.9 ± 1.4mm)。

结论

只有在仔细选择适当的临床设置的情况下,VNav 才准确。只有在这些条件下(审阅者#2),才能使用融合成像准确地靶向 US 未识别的肝肿瘤进行活检或射频消融。

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