Fluorescence lifetime method for guided therapy of brain tumors

脑肿瘤引导治疗的荧光寿命法

基本信息

批准号：
7266952
负责人：
Laura Marcu
金额：
$ 10万
依托单位：
MICROSURGEON, INC.
依托单位国家：
美国
项目类别：
财政年份：
2006
资助国家：
美国
起止时间：
2006-08-01 至 2009-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7266952
关键词：
Address Algorithms Arterial Fatty Streak Biological Biomedical Engineering Biopsy Blood Brain Brain Neoplasms Characteristics Classification Clinical Clinical Research Collaborations Complement Computer software Data Analyses Development Devices Diagnosis Diagnostic Diagnostic Imaging Diagnostic Procedure Diagnostic Specificity Discrimination Excision Fiber Optics Fluorescence Fluorescence Spectroscopy Foundations Funding Glioma Histopathology Human Image In Situ Institutes Invasive Knowledge Magnetic Resonance Imaging Measurement Measures Metastatic Meningioma Methodology Methods Microscopic Modality Molecular Movement Nature Neurosurgeon Normal tissue morphology Optics Organ Pathway interactions Patients Phase Recording of previous events Research Risk Small Business Technology Transfer Research Software Design Source Specificity Specimen System Techniques Testing Therapeutic Time Time Study Tissues Ultrasonography Work absorption base brain tissue brain tumor resection improved in vivo knowledge base novel diagnostics prototype research clinical testing time use tumor

项目摘要

DESCRIPTION (provided by applicant): We propose clinical evaluation and optimization studies of time-resolved fluorescence spectroscopy (TR-LIFS) technique for the intraoperative identification of tumor vs. normal brain during neurosurgical resection of brain tumors. A critical need currently for neurosurgeons operating on infiltrative glial neoplasms is the ability to distinguish between normal brain and glial tumor. This project is to demonstrate the feasibility of further development of a fluorescencebased device that will enhance the ability of neurosurgeons to distinguish tumor from normal brain intraoperatively without the need for biopsy. The device will use TR-LIFS technique to identify tumor margins and assess the efficacy of diagnostic procedures. If successful, this work will: (i) enhance the ability of neurosurgeons to distinguish tumor from normal brain tissue intraoperatively, (ii) improved specificity of diagnostic in brain biopsy, and (iii) increase the opportunity of image complete resection of brain tumors and decrease risk of resection of normal brain tissue. By measuring intraoperatively the time-resolved autofluorescence of human brain tumors (glioma, meningioma, metastatic) using an existing TR-LIFS research prototype apparatus and methodology, this STTR Phase I project will address 3 specific aims that combine clinical research and functionality studies over a period of 2 years: (1) To obtain a detailed knowledge of the measurability of time-resolved spectra from human brain tumors and surrounding normal tissue and to evaluate sources of experimental errors and optical loss including brain movements and blood absorption. (2) To identify the optimal TR-LIFS features/parameters which provide the best discrimination between tumor and the normal surrounding tissue by analyzing the characteristics of tissue fluorescence and comparing the spectroscopic findings to the tissue histopathology, immunohistochemical, and conventional pre-and intra-operative diagnostic techniques (MRI, Ultrasound). (3) To develop and test algorithms/software for near real-time TR-LIFS data analysis and brain tissue classification based on a representative subset of spectroscopic features. The result of Phase I will be a basis of knowledge sufficient to permit a TR-LIFS prototype device fabrication, optimized software design, and continued development in Phase II. While this project is initially tailored to brain tumors demarcation, the device could potentially be also applied to diagnosis of other tumor types.

描述（由申请人提供）：我们提出了临床评估和优化研究，以在脑肿瘤的神经外科切除术期间对肿瘤和正常大脑的术中识别术中荧光光谱（TR-LIFS）技术进行临床评估和优化研究。目前，在浸润性神经胶质肿瘤上运作的神经外科医生目前的关键需求是区分正常脑和神经胶质肿瘤的能力。该项目是为了证明基于荧光的设备的进一步开发的可行性，该设备将增强神经外科医生在不需要活检的情况下将肿瘤与正常脑部区分开的能力。该设备将使用TR-LIFS技术来识别肿瘤边缘并评估诊断程序的功效。如果成功的话，这项工作将：（i）增强神经外科医生在术中术中肿瘤与正常脑组织区分开的能力，（ii）提高诊断诊断的特异性在脑活检中的特异性，以及（iii）增加脑肿瘤的图像完全切除的机会，并减少正常脑组织切除的风险。通过使用现有的TR-LIFS研究原型设备和方法论进行术中人脑肿瘤（胶质瘤，脑膜瘤，转移性）的时间分解自动荧光，该STTR I阶段I项目将解决3个特定的目标，这些特定目标结合了2年的临床研究和脑功能性研究，以获得2年的临床知识：1（1） - （1）详细的知识 - （1） - （1） - 1（1） - （1） - （1） - （1） - （1） - 1（1） - 1（1）。组织并评估实验误差和光学损失的来源，包括大脑运动和吸血。（2）确定最佳的TR-LIFS特征/参数，这些特征/参数通过分析组织荧光的特征，并将光谱检查结果与组织组织病理学，免疫组织化学和常规的预性诊断诊断技术（MRI，Ulteri，Ultri）（MRI）进行比较，从而提供最佳的肿瘤和正常组织区分。（3）基于光谱特征的代表性子集，开发和测试了近实时TR-LIFS数据分析和脑组织分类的算法/软件。第一阶段的结果将是足以允许TR-LIFS原型设备制造，优化软件设计和持续开发的知识的基础。虽然该项目最初是针对脑肿瘤分界量身定制的，但该设备也可能用于诊断其他肿瘤类型。