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利用磁共振成像与超声图像融合技术,通过磁导航实时虚拟超声对乳腺癌进行评估:初步经验

Fusion of MRI and sonography image for breast cancer evaluation using real-time virtual sonography with magnetic navigation: first experience.

作者信息

Nakano Shogo, Yoshida Miwa, Fujii Kimihito, Yorozuya Kyoko, Mouri Yukako, Kousaka Junko, Fukutomi Takashi, Kimura Junko, Ishiguchi Tsuneo, Ohno Kazuko, Mizumoto Takao, Harao Michiko

机构信息

Division of Breast and Endocrine Surgery, Department of Surgery, Aichi Medical University, 21 Nagakute-cho, Aichi-gun, Aichi 480-1195, Japan.

出版信息

Jpn J Clin Oncol. 2009 Sep;39(9):552-9. doi: 10.1093/jjco/hyp087. Epub 2009 Aug 4.

Abstract

OBJECTIVE

We recently developed a real-time virtual sonography (RVS) system that enables simultaneous display of both sonography and magnetic resonance imaging (MRI) cutaway images of the same site in real time. The aim of this study was to evaluate the role of RVS in the management of enhancing lesions visualized with MRI.

METHODS

Between June 2006 and April 2007, 65 patients underwent MRI for staging of known breast cancer at our hospital. All patients were examined using mammography, sonography, MRI and RVS before surgical resection. Results were correlated with histopathologic findings. MRI was obtained on a 1.5 T imager, with the patient in the supine position using a flexible body surface coil. Detection rate was determined for index tumors and incidental enhancing lesions (IELs), with or without RVS.

RESULTS

Overall sensitivity for detecting index tumors was 85% (55/65) for mammography, 91% (59/65) for sonography, 97% (63/65) for MRI and 98% (64/65) for RVS. Notably, in one instance in which the cancer was not seen on MRI, RVS detected it with the supplementation of sonography. IELs were found in 26% (17/65) of the patients. Of 23 IELs that were detected by MRI, 30% (7/23) of IELs could be identified on repeated sonography alone, but 83% (19/23) of them were identified using the RVS system (P = 0.001). The RVS system was able to correctly project enhanced MRI information onto a body surface, as we checked sonography form images.

CONCLUSIONS

Our results suggest that the RVS system can identify enhancing breast lesions with excellent accuracy.

摘要

目的

我们最近开发了一种实时虚拟超声检查(RVS)系统,该系统能够同时实时显示同一部位的超声检查图像和磁共振成像(MRI)剖面图。本研究的目的是评估RVS在处理MRI显示的强化病变中的作用。

方法

2006年6月至2007年4月期间,我院65例已知乳腺癌患者接受了MRI分期检查。所有患者在手术切除前均接受了乳腺X线摄影、超声检查、MRI和RVS检查。结果与组织病理学结果相关。MRI在1.5T成像仪上进行,患者仰卧位,使用柔性体表线圈。确定有无RVS时索引肿瘤和偶然强化病变(IELs)的检出率。

结果

乳腺X线摄影检测索引肿瘤的总体敏感性为85%(55/65),超声检查为91%(59/65),MRI为97%(63/65),RVS为98%(64/65)。值得注意的是,在1例MRI未发现癌症的病例中,RVS在超声检查的辅助下检测到了癌症。26%(17/65)的患者发现了IELs。在MRI检测到的23个IELs中,仅重复超声检查可识别30%(7/23)的IELs,但使用RVS系统可识别83%(19/23)的IELs(P = 0.001)。当我们检查超声图像时,RVS系统能够将增强的MRI信息正确投射到体表。

结论

我们的结果表明,RVS系统能够以极高的准确性识别乳腺强化病变。

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