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拉曼光谱技术在乳腺癌保乳术中快速评估手术切缘的应用

Raman Spectroscopy for Rapid Evaluation of Surgical Margins during Breast Cancer Lumpectomy.

机构信息

Harvey Mudd College, Department of Physics, 301 Platt Blvd., Claremont, CA, 91711, USA.

Harvey Mudd College, Department of Engineering, 301 Platt Blvd., Claremont, CA, 91711, USA.

出版信息

Sci Rep. 2019 Oct 10;9(1):14639. doi: 10.1038/s41598-019-51112-0.

DOI:10.1038/s41598-019-51112-0
PMID:31601985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6787043/
Abstract

Failure to precisely distinguish malignant from healthy tissue has severe implications for breast cancer surgical outcomes. Clinical prognoses depend on precisely distinguishing healthy from malignant tissue during surgery. Laser Raman spectroscopy (LRS) has been previously shown to differentiate benign from malignant tissue in real time. However, the cost, assembly effort, and technical expertise needed for construction and implementation of the technique have prohibited widespread adoption. Recently, Raman spectrometers have been developed for non-medical uses and have become commercially available and affordable. Here we demonstrate that this current generation of Raman spectrometers can readily identify cancer in breast surgical specimens. We evaluated two commercially available, portable, near-infrared Raman systems operating at excitation wavelengths of either 785 nm or 1064 nm, collecting a total of 164 Raman spectra from cancerous, benign, and transitional regions of resected breast tissue from six patients undergoing mastectomy. The spectra were classified using standard multivariate statistical techniques. We identified a minimal set of spectral bands sufficient to reliably distinguish between healthy and malignant tissue using either the 1064 nm or 785 nm system. Our results indicate that current generation Raman spectrometers can be used as a rapid diagnostic technique distinguishing benign from malignant tissue during surgery.

摘要

未能准确区分良性和恶性组织会对乳腺癌手术结果产生严重影响。临床预后取决于手术过程中能否准确区分健康组织和恶性组织。激光拉曼光谱(LRS)先前已被证明可实时区分良性和恶性组织。然而,由于构建和实施该技术所需的成本、组装工作和技术专业知识,限制了其广泛采用。最近,拉曼光谱仪已被开发用于非医疗用途,并已商业化且价格合理。在这里,我们证明了这一代拉曼光谱仪可以快速识别乳房外科标本中的癌症。我们评估了两种商业上可用的、便携式的近红外拉曼系统,它们分别在 785nm 或 1064nm 的激发波长下工作,从 6 名接受乳房切除术的患者的切除乳房组织的癌症、良性和过渡区域共采集了 164 个拉曼光谱。使用标准的多变量统计技术对光谱进行分类。我们确定了一组最小的光谱带,这些光谱带足以使用 1064nm 或 785nm 系统可靠地区分健康组织和恶性组织。我们的研究结果表明,当前一代的拉曼光谱仪可用于在手术期间作为一种快速诊断技术来区分良性和恶性组织。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/a9e583204002/41598_2019_51112_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/24c14cbb6f5a/41598_2019_51112_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/30c8cd198ffc/41598_2019_51112_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/c284cc29c560/41598_2019_51112_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/85e3ad60a107/41598_2019_51112_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/1adf6687bb37/41598_2019_51112_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/ca2bb01de755/41598_2019_51112_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/5a7875470ccc/41598_2019_51112_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/a9e583204002/41598_2019_51112_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/24c14cbb6f5a/41598_2019_51112_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/30c8cd198ffc/41598_2019_51112_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/c284cc29c560/41598_2019_51112_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/85e3ad60a107/41598_2019_51112_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/1adf6687bb37/41598_2019_51112_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/ca2bb01de755/41598_2019_51112_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/5a7875470ccc/41598_2019_51112_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d192/6787043/a9e583204002/41598_2019_51112_Fig8_HTML.jpg

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