Alizad Azra, Mehrmohammadi Mohammad, Ghosh Karthik, Glazebrook Katrina N, Carter Rickey E, Karaberkmez Leman Gunbery, Whaley Dana H, Fatemi Mostafa
Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN, 55905, USA.
Division of General Internal Medicine, Department of Medicine, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN, 55905, USA.
BMC Med Imaging. 2014 Dec 30;14:40. doi: 10.1186/s12880-014-0040-1.
Vibro-acoustography (VA) is a newly developed imaging technology that is based on low-frequency vibrations induced in the object by the radiation force of ultrasound. VA is sensitive to the dynamic characteristics of tissue. Here, we evaluate the performance of VA in identifying benign lesions and compare the results to those of mammography.
An integrated mammography-VA system designed for in vivo breast imaging was tested on a group of female volunteers, age ≥ 18 years, with suspected breast lesions based on clinical examination. A set of VA scans was acquired after each corresponding mammography. Most lesions were classified as benign based on their histological results. However, in 4 cases, initial diagnosis based on clinical imaging determined that the lesions were cysts. These cysts were aspirated with needle aspiration and disappeared completely under direct ultrasound visualization. Therefore, no biopsies were performed on these cases and lesions were classified as benign based on clinical findings per clinical standards. To define the VA characteristics of benign breast masses, we adopted the features that are normally attributed to such masses in mammography. In a blinded assessment, three radiologists evaluated the VA images independently. The diagnostic accuracy of VA for detection of benign lesions was assessed by comparing the reviewers' evaluations with clinical data.
Out of a total 29 benign lesions in the group, the reviewers were able to locate all lesions on VA images and mammography, 100% with (95% confidence interval (CI): 88% to 100%). Two reviewers were also able to correctly classify 83% (95% CI: 65% to 92%), and the third reviewer 86% (95% CI: 65% to 95%) of lesions, as benign on VA images and 86% (95% CI: 69% to 95%) on mammography.
The results suggest that the mammographic characteristics of benign lesion may also be used to identify such lesions in VA. Furthermore, the results show the ability of VA to detect benign breast abnormalities with a performance comparable to mammography. Therefore, the VA technology has the potential to be utilized as a complementary tool for breast imaging applications. Additional studies are needed to compare the capabilities of VA and traditional ultrasound imaging.
振动声成像(VA)是一种新开发的成像技术,它基于超声辐射力在物体中诱导产生的低频振动。VA对组织的动态特征敏感。在此,我们评估VA在识别良性病变方面的性能,并将结果与乳腺X线摄影的结果进行比较。
对一组年龄≥18岁、根据临床检查怀疑有乳腺病变的女性志愿者,使用专为乳腺活体成像设计的集成式乳腺X线摄影-VA系统进行检测。在每次相应的乳腺X线摄影后进行一组VA扫描。大多数病变根据组织学结果被分类为良性。然而,在4例病例中,基于临床成像的初步诊断确定病变为囊肿。这些囊肿通过针吸抽吸,在直接超声可视化下完全消失。因此,对这些病例未进行活检,根据临床标准,病变根据临床发现被分类为良性。为了确定良性乳腺肿块的VA特征,我们采用了乳腺X线摄影中通常归因于此类肿块的特征。在盲法评估中,三位放射科医生独立评估VA图像。通过将审阅者的评估与临床数据进行比较,评估VA检测良性病变的诊断准确性。
在该组总共29个良性病变中,审阅者能够在VA图像和乳腺X线摄影上定位所有病变,定位成功率为100%(95%置信区间(CI):88%至100%)。两位审阅者还能够在VA图像上正确将83%(95%CI:65%至92%)的病变分类为良性,第三位审阅者为86%(95%CI:65%至95%),在乳腺X线摄影上为86%(95%CI:69%至95%)。
结果表明,良性病变的乳腺X线摄影特征也可用于在VA中识别此类病变。此外,结果显示VA检测乳腺良性异常的能力与乳腺X线摄影相当。因此,VA技术有潜力作为乳腺成像应用的辅助工具。需要进一步的研究来比较VA和传统超声成像的能力。