Yamazaki Hiroya, Kaminaka Shoji, Kohda Ehiichi, Mukai Makio, Hamaguchi Hiro-o
Department of Radiology, Keio University School of Medicine, Tokyo, Japan.
Radiat Med. 2003 Jan-Feb;21(1):1-6.
Raman spectroscopy is based on Raman scattering of light from molecules. Because the wavelength of Raman scattered light depends on molecular composition, Raman spectra provide highly useful information about molecular composition. It has already been shown that Raman spectroscopy is potentially useful for the clinical diagnosis of malignant tumors. However, this technique had never been applied to the diagnosis of lung cancers, primarily because of interference from the strong fluorescence emitted from lung tissues. Our purpose was to examine the effectiveness of near-infrared Raman spectroscopy for the diagnosis of lung cancers.
We constructed a new near-infrared multichannel Raman system that is capable of measuring high signal-to-noise ratio, fluorescence-free Raman spectra of lung tissues within a measurement time of 1 second. Using this system, we collected a total of 210 Raman spectra from cancerous and non-cancerous lung tissues and analyzed these spectra by a least-squares fitting procedure for cancer diagnosis.
The resultant sensitivity of cancer prediction was as high as 91%, with 97% specificity and an error margin of p<0.0001 according to Fisher's exact test.
A method of diagnosing lung cancer efficiently and objectively using Raman spectroscopy has thus been established.
拉曼光谱基于分子对光的拉曼散射。由于拉曼散射光的波长取决于分子组成，拉曼光谱可提供有关分子组成的极为有用的信息。已有研究表明拉曼光谱在恶性肿瘤的临床诊断中具有潜在应用价值。然而，该技术从未应用于肺癌诊断，主要原因是肺组织发出的强荧光会产生干扰。我们的目的是研究近红外拉曼光谱在肺癌诊断中的有效性。
我们构建了一种新型近红外多通道拉曼系统，该系统能够在1秒的测量时间内测量肺组织的高信噪比、无荧光拉曼光谱。利用该系统，我们从癌性和非癌性肺组织中总共收集了210条拉曼光谱，并通过最小二乘法拟合程序对这些光谱进行分析以用于癌症诊断。
根据费舍尔精确检验，癌症预测的灵敏度高达91%，特异性为97%，误差率p<0.0001。
由此建立了一种利用拉曼光谱有效、客观地诊断肺癌的方法。
