一种用于乳腺癌诊断的无创多模态超声对比近红外光谱系统

K. Yan, T. Podder, Ke Huang, Yan Yu, L. Liao
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引用次数: 3

摘要

我们开发了一种多模态成像系统,结合了三种模式,光谱学,超声和声辐射力(ARF),以改善基于血管系统的无创诊断乳腺癌。本文给出了详细的系统设计。本文还讨论了激光和超声治疗的安全性问题。激光对皮肤的最大照射量控制在0.2 W•cm-2以内(ANSI Z136.1);ARF场暴露量维持在FDA诊断限值(0.72 W•cm-2)以下。这种多模态系统有可能通过部署ARF在组织血液供应环境的动态行为中产生可测量的差异来改善肿瘤检测,这在小鼠肿瘤模型中被证明是高度诊断的。正在进行临床试验研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Noninvasive Multimodal Sono-contrast NIR Spectroscopy System for Breast Cancer Diagnosis
We have developed a multimodal imaging system that combines three modalities, optical spectroscopy, ultrasonography and acoustic radiation force (ARF) for improving diagnosis of breast cancer based on noninvasive interrogation of vasculature. This paper presents a detailed system design. The safety issues regarding the use of laser and ultrasound have also been addressed in this paper. The maximum exposure to skin for laser was controlled within 0.2 W•cm-2 (ANSI Z136.1); exposure from ARF fields were maintained below the FDA diagnostic limit (0.72 W•cm-2). This multimodal system has the potential to improve tumor detection by deploying ARF to produce a measurable difference in the dynamic behavior of the tissue blood supply environment as interrogated by optical spectroscopy, which was demonstrated to be highly diagnostic in a murine tumor model. Pilot clinical study is being carried out.
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