Koljenović Senada, Schut Tom Bakker, Vincent Arnaud, Kros Johan M, Puppels Gerwin J
Center for Optical Diagnostics & Therapy, Department of Pathology, and Department of Neurosurgery, Erasmus-university Medical Center, Rotterdam, The Netherlands.
Anal Chem. 2005 Dec 15;77(24):7958-65. doi: 10.1021/ac0512599.
Radical tumor resection is the treatment of choice for patients suffering from meningioma. However, recurrence of these tumors is a problem. Tumor recurrences are attributed to residual nests of meningioma within the regional dura. Therefore, complete removal of all tumor-infiltrated dura is important. Meningioma and normal dura were studied by Raman microspectroscopy to assess the possibility of developing an in vivo Raman method for guidance of meningioma resections. Pseudocolor Raman maps were constructed of cryosections of dura and meningioma, obtained from 20 patients. Comparison of these maps with histopathology enabled assignment of the spectra to either meningioma or dura. Large differences exist between the Raman spectra of dura and meningioma, because of the high collagen content of dura and the increased lipid content of tumors. A classification model for dura and tumor tissue based on linear discriminant analysis of Raman spectra yielded an accuracy of 100%. A first attempt was made to determine the minimum amount of meningioma in dura that is detectable by Raman spectroscopy. It is concluded that Raman spectra enable meningioma to be distinguished from dura, which makes Raman spectroscopy a viable candidate for guidance of surgical resection of meningioma.
根治性肿瘤切除是脑膜瘤患者的首选治疗方法。然而,这些肿瘤的复发是一个问题。肿瘤复发归因于区域硬脑膜内残留的脑膜瘤巢。因此,彻底切除所有受肿瘤浸润的硬脑膜很重要。通过拉曼光谱对脑膜瘤和正常硬脑膜进行研究,以评估开发一种用于指导脑膜瘤切除术的体内拉曼方法的可能性。构建了来自20名患者的硬脑膜和脑膜瘤冰冻切片的伪彩色拉曼图谱。将这些图谱与组织病理学进行比较,能够将光谱分配给脑膜瘤或硬脑膜。由于硬脑膜中胶原蛋白含量高以及肿瘤中脂质含量增加,硬脑膜和脑膜瘤的拉曼光谱存在很大差异。基于拉曼光谱线性判别分析的硬脑膜和肿瘤组织分类模型准确率达100%。首次尝试确定拉曼光谱可检测到的硬脑膜中脑膜瘤的最小量。得出的结论是,拉曼光谱能够区分脑膜瘤和硬脑膜,这使得拉曼光谱成为指导脑膜瘤手术切除的可行选择。