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利用光谱学进行活体脑肿瘤边界划分

In vivo brain tumor demarcation using optical spectroscopy.

作者信息

Lin W C, Toms S A, Johnson M, Jansen E D, Mahadevan-Jansen A

机构信息

Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.

出版信息

Photochem Photobiol. 2001 Apr;73(4):396-402. doi: 10.1562/0031-8655(2001)073<0396:ivbtdu>2.0.co;2.

Abstract

The applicability of optical spectroscopy for intraoperative detection of brain tumors/tumor margins was investigated in a pilot clinical trial consisting of 26 brain tumor patients. The results of this clinical trial suggest that brain tumors and infiltrating tumor margins (ITM) can be effectively separated from normal brain tissues in vivo using combined autofluorescence and diffuse-reflectance spectroscopy. A two-step empirical discrimination algorithm based on autofluorescence and diffuse reflectance at 460 and 625 nm was developed. This algorithm yields a sensitivity and specificity of 100 and 76%, respectively, in differentiating ITM from normal brain tissues. Blood contamination was found to be a major obstacle that attenuates the accuracy of brain tumor demarcation using optical spectroscopy. Overall, this study indicates that optical spectroscopy has the potential to guide brain tumor resection intraoperatively with high sensitivity.

摘要

在一项由26名脑肿瘤患者参与的初步临床试验中,研究了光谱学在术中检测脑肿瘤/肿瘤边缘的适用性。该临床试验结果表明,使用自体荧光和漫反射光谱相结合的方法,可以在体内有效地将脑肿瘤和浸润性肿瘤边缘(ITM)与正常脑组织区分开来。开发了一种基于460和625nm处自体荧光和漫反射的两步经验判别算法。该算法在区分ITM与正常脑组织时,灵敏度和特异性分别为100%和76%。发现血液污染是一个主要障碍,会降低使用光谱学进行脑肿瘤边界划分的准确性。总体而言,这项研究表明光谱学有潜力在术中以高灵敏度指导脑肿瘤切除术。

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