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首页> 外文会议>Diagnostic Optical Spectroscopy in Biomedicine IV; Progress in Biomedical Optics and Imaging; vol.8 no.41; Proceedings of SPIE-The International Society for Optical Engineering; vol.6628 >Optical spectroscopy for therapeutic guidance in breast conserving therapy
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Optical spectroscopy for therapeutic guidance in breast conserving therapy

机译：光谱学在保乳治疗中的治疗指导

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摘要

Most women with early breast cancer have the option of breast conserving therapy, which involves the complete removal of the primary breast lesion (a lumpectomy) with tumor-free margins, followed by radiotherapy. Since the presence of tumor at or near the margin is strongly correlated with the risk of local tumor recurrence, there is a need to develop a non-invasive, real-time tool that can differentiate normal breast tissue from tumor at the margins to assure complete removal. Our previous studies have demonstrated the ability of combined autofluorescence and diffuse reflectance spectroscopy to differentiate normal from non-normal breast tissue ex vivo. Using a portable, combined fluorescence and reflectance spectroscopy system, measurements were taken from each of the six surfaces of the tissue mass immediately following removal during lumpectomies for 24 patients. After correlation with histopathology, a multivariate statistical algorithm classified the 27 tumor spectra and 102 normal spectra with 78% sensitivity and 99% specificity, or 94% negative and 95% positive predictive value. Since point spectroscopy is ultimately insufficient for this application due to its small sampling area, fluorescence and reflectance spectral images from a lumpectomy specimen were gathered and used to show the feasibility of this approach.
机译：大多数患有早期乳腺癌的妇女可以选择保留乳房的治疗，包括完全切除无肿瘤切缘的原发性乳腺病变（肿块切除术），然后进行放射治疗。由于边缘处或附近的肿瘤的存在与局部肿瘤复发的风险密切相关，因此需要开发一种非侵入性的实时工具，以区分正常乳房组织与边缘处的肿瘤以确保完整去除。我们以前的研究证明了结合自体荧光和漫反射光谱法在体外区分正常和非正常乳腺组织的能力。使用便携式的荧光和反射光谱组合系统，对24名患者在进行光影切除后立即从组织块的六个表面中的每个表面进行了测量。在与组织病理学相关之后，一种多元统计算法以78％的敏感性和99％的特异性或94％的阴性和95％的阳性预测值对27个肿瘤光谱和102个正常光谱进行了分类。由于点光谱由于其较小的采样面积而最终不足以用于该应用，因此收集了来自肿块切除术标本的荧光和反射光谱图像，并证明了该方法的可行性。

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