Iftimia N V, Mujat M, Ustun T, Ferguson R D, Danthu V, Hammer D X
Physical Sciences, Inc., 20 New England Business Center Drive, Andover, Massachusetts 01810, USA.
Rev Sci Instrum. 2009 Feb;80(2):024302. doi: 10.1063/1.3076409.
A novel technology and instrumentation for fine needle aspiration (FNA) breast biopsy guidance is presented. This technology is based on spectral-domain low coherence interferometry (SD-LCI). The method, apparatus, and preliminary in vitro/in vivo results proving the viability of the method and apparatus are presented in detail. An advanced tissue classification algorithm, preliminarily tested on breast tissue specimens and a mouse model of breast cancer is presented as well. Over 80% sensitivity and specificity in differentiating all tissue types and 93% accuracy in differentiating fatty tissue from fibrous or tumor tissue was obtained with this technology and apparatus. These results suggest that SD-LCI could help for more precise needle placement during the FNA biopsy and therefore could substantially reduce the number of the nondiagnostic aspirates and improve the sensitivity and specificity of the FNA procedures.
本文介绍了一种用于细针穿刺（FNA）乳腺活检引导的新技术和仪器。该技术基于光谱域低相干干涉测量法（SD-LCI）。详细介绍了该方法、仪器以及证明该方法和仪器可行性的初步体外/体内结果。还介绍了一种先进的组织分类算法，该算法已在乳腺组织标本和乳腺癌小鼠模型上进行了初步测试。使用该技术和仪器在区分所有组织类型时获得了超过80%的灵敏度和特异性，在区分脂肪组织与纤维组织或肿瘤组织时获得了93%的准确率。这些结果表明，SD-LCI有助于在FNA活检期间更精确地放置针头，因此可以大幅减少非诊断性抽吸的数量，并提高FNA程序的灵敏度和特异性。
