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联合荧光和反射光谱法用于低级别和高级别胶质瘤手术中癌症生物标志物的体内定量。

Combined fluorescence and reflectance spectroscopy for in vivo quantification of cancer biomarkers in low- and high-grade glioma surgery.

机构信息

Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755, USA.

出版信息

J Biomed Opt. 2011 Nov;16(11):116007. doi: 10.1117/1.3646916.

Abstract

Biomarkers are indicators of biological processes and hold promise for the diagnosis and treatment of disease. Gliomas represent a heterogeneous group of brain tumors with marked intra- and inter-tumor variability. The extent of surgical resection is a significant factor influencing post-surgical recurrence and prognosis. Here, we used fluorescence and reflectance spectral signatures for in vivo quantification of multiple biomarkers during glioma surgery, with fluorescence contrast provided by exogenously-induced protoporphyrin IX (PpIX) following administration of 5-aminolevulinic acid. We performed light-transport modeling to quantify multiple biomarkers indicative of tumor biological processes, including the local concentration of PpIX and associated photoproducts, total hemoglobin concentration, oxygen saturation, and optical scattering parameters. We developed a diagnostic algorithm for intra-operative tissue delineation that accounts for the combined tumor-specific predictive capabilities of these quantitative biomarkers. Tumor tissue delineation achieved accuracies of up to 94% (specificity = 94%, sensitivity = 94%) across a range of glioma histologies beyond current state-of-the-art optical approaches, including state-of-the-art fluorescence image guidance. This multiple biomarker strategy opens the door to optical methods for surgical guidance that use quantification of well-established neoplastic processes. Future work would seek to validate the predictive power of this proof-of-concept study in a separate larger cohort of patients.

摘要

生物标志物是生物过程的指标,有望用于疾病的诊断和治疗。神经胶质瘤是一组具有明显的肿瘤内和肿瘤间变异性的脑肿瘤。手术切除的程度是影响术后复发和预后的重要因素。在这里,我们使用荧光和反射光谱特征,在神经胶质瘤手术中对多种生物标志物进行体内定量,通过给予 5-氨基酮戊酸后外源诱导的原卟啉 IX(PpIX)提供荧光对比度。我们进行了光传输建模,以定量多种指示肿瘤生物过程的生物标志物,包括 PpIX 及其相关光产物的局部浓度、总血红蛋白浓度、氧饱和度和光散射参数。我们开发了一种用于术中组织描绘的诊断算法,该算法考虑了这些定量生物标志物的综合肿瘤特异性预测能力。在一系列神经胶质瘤组织学中,肿瘤组织描绘的准确性高达 94%(特异性=94%,灵敏度=94%),超越了当前最先进的光学方法,包括最先进的荧光图像引导。这种多生物标志物策略为使用已建立的肿瘤过程定量的手术指导光学方法开辟了道路。未来的工作将寻求在另一组更大的患者队列中验证本概念验证研究的预测能力。

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