Diagnosis of breast cancer using elastic-scattering spectroscopy: preliminary clinical results
Diagnosis of breast cancer using elastic-scattering spectroscopy: preliminary clinical results
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DOI：
10.1117/1.429990
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发表时间：
2000-04-01
影响因子：
3.5
通讯作者：
Saunders, C
中科院分区：
文献类型：
--
作者：
Bigio, IJ;Bown, SG;Saunders, C
我们报告了一项临床研究的第一阶段，该研究旨在测试纤维探针介导的弹性散射光谱在乳腺组织诊断中的三种特定临床应用：(1)通过透皮针（间质）测量进行即时诊断，其侵入性与细针穿刺相似，但对更大的组织体积具有敏感性；(2)在开放手术中用于评估肿瘤/切除边缘的手持式诊断探针；(3)在手术中使用相同的探针实时评估“前哨”淋巴结，以确定肿瘤（转移性）的存在与否。对31名女性进行体内测量的初步结果令人鼓舞。对乳腺组织的72个组织学部位和前哨淋巴结的54个组织学部位进行了光谱测量。研究了两种不同的人工智能光谱分类方法。人工神经网络对乳腺组织和前哨淋巴结的敏感性分别为69%和58%，特异性分别为85%和93%。分层聚类分析对乳腺组织和前哨淋巴结的敏感性分别为67%和91%，特异性分别为79%和77%。随着数据集的不断增长和采用更复杂的数据预处理，这些值有望得到改善。这项研究将在未来两年内招募多达400名患者。(C) 2000光学仪器工程师学会。[s1083 - 3668(00) 00302 - 6]。
We report on the first stages of a clinical study designed to test elastic-scattering spectroscopy, mediated by fiberoptic probes, for three specific clinical applications in breast-tissue diagnosis: (1) a transdermal-needle (interstitial) measurement for instant diagnosis with minimal invasiveness similar to fine-needle aspiration but with sensitivity to a larger tissue volume, (2) a hand-held diagnostic probe for use in assessing tumor/resection margins during open surgery, and (3) use of the same probe for real-time assessment of the "sentinel" node during surgery to determine the presence or absence of tumor (metastatic). Preliminary results from in vivo measurements on 31 women are encouraging. Optical spectra were measured on 72 histology sites in breast tissue, and 54 histology sites in sentinel nodes. Two different artificial intelligence methods of spectral classification were studied. Artificial neural networks yielded sensitivities of 69% and 58%, and specificities of 85% and 93%, for breast tissue and sentinel nodes, respectively. Hierarchical cluster analysis yielded sensitivities of 67% and 91%, and specificities of 79% and 77%, for breast tissue and sentinel nodes, respectively. These values are expected to improve as the data sets continue to grow and more sophisticated data preprocessing is employed. The study will enroll up to 400 patients over the next two years. (C) 2000 society of Photo-Optical instrumentation Engineers. [S1083-3668(00)00302-6].