Ashkenazi Shai, Bischof John C
IEEE Trans Med Imaging. 2016 Oct;35(10):2301-2311. doi: 10.1109/TMI.2016.2560146.
Cancerous tissues have electrical-conductivity signatures different from normal tissues, which contain potentially useful information for early detection. Despite recent advancements in electrical-conductivity imaging and its applications, imaging electrical conductivities with high spatial resolution remains a challenge for non-invasive diagnosis of early-stage cancer. Among the various electrical-conductivity imaging methods, magnetoacoustic tomography with magnetic induction (MAT-MI) is a promising technology for non-invasive detection of breast cancer. However, previous efforts to use MAT-MI for cancer imaging have suffered due to insufficient spatial resolution. In this work, we have developed a high-frequency MAT-MI (hfMAT-MI) system with a 2-D spatial resolution of 1 mm, a significant improvement over previous methods. Furthermore, we demonstrated the performance of this method using an in vivo cancer model in nude mice with human breast xenograft hindlimb tumors. hfMAT-MI was able to resolve not only the boundaries between cancerous and healthy tissues, but also the tumors' internal structures. Importantly, we were able to track a growing tumor using our hfMAT-MI method for the first time in an in vivo mouse model, demonstrating the promise of this magneto-acoustic imaging system for effective detection and diagnosis of early-stage breast cancer.
癌组织具有与正常组织不同的电导率特征，其中包含对早期检测可能有用的信息。尽管电导率成像及其应用最近取得了进展，但以高空间分辨率成像电导率仍然是早期癌症非侵入性诊断的一项挑战。在各种电导率成像方法中，磁感应磁声断层成像（MAT-MI）是一种用于乳腺癌非侵入性检测的有前途的技术。然而，由于空间分辨率不足，以前使用MAT-MI进行癌症成像的努力受到了影响。在这项工作中，我们开发了一种二维空间分辨率为1毫米的高频MAT-MI（hfMAT-MI）系统，与以前的方法相比有了显著改进。此外，我们使用患有人类乳腺异种移植后肢肿瘤的裸鼠体内癌症模型展示了该方法的性能。hfMAT-MI不仅能够分辨癌组织和健康组织之间的边界，还能分辨肿瘤的内部结构。重要的是，我们首次能够在体内小鼠模型中使用我们的hfMAT-MI方法跟踪生长中的肿瘤，证明了这种磁声成像系统在有效检测和诊断早期乳腺癌方面的前景。
