Comprehensive Evaluation of OGSE DWI for Assessing Tumor Treatment Response
Comprehensive Evaluation of OGSE DWI for Assessing Tumor Treatment Response
批准号:
8596806
负责人:
John C Gore
金额:
$25.12万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-12-15 至 2017-11-30
关键词:
AffectAftercareAnimal ModelAnimalsApoptosisAwardBiological MarkersBudgetsCaliberCancerousCell DensityCell membraneCellsCellularityClinicalClinical TrialsCompanionsComputer SimulationDataDevelopmentDiffuseDiffusionDiffusion Magnetic Resonance ImagingDirect CostsEvaluationFundingGrantGrowthHeterogeneityImageImaging TechniquesMagnetic Resonance ImagingMalignant NeoplasmsMeasurementMeasuresMethodologyMethodsModelingMotionMotivationNuclearOutcomePhysiologic pulsePoliciesReportingResearchSecureSignal TransductionSolutionsStructureStudy SectionSystemTechniquesTimeTissuesValidationWaterWater MovementsWeightWorkbaseimaging modalityin vivoin vivo imaginginsightmagnetic fieldmigrationmouse modelnon-invasive imagingnoveloscillating gradient spin echopre-clinical researchpreclinical studypublic health relevanceradiation effectresponsetime intervaltooltreatment effecttreatment responsetumortumor growthwater diffusion
中文摘要
描述(由申请人提供):该提案作为我们的申请2 R 01 CA 109106的伴随补助金提交,该申请于2011年6月由BMIT-B研究部分审查,并获得12分(第二百分位)的优先级分数,没有建议削减预算。我们的总体目标是继续开发,评估和验证一种新的磁共振成像(MRI)技术,该技术是治疗前后肿瘤状态的敏感指标,并提供非侵入性组织微观结构的独特信息。补助金CA 109106随后获得了62%的预算削减相比,研究科建议。因此,利用该赠款进行的工作已被修改,范围大幅缩小,它将不再支持大多数动物研究或拟议和批准的治疗效果比较。这项建议旨在为那些已获批准但未获得资助的研究提供补充支持,我们(和研究科)认为这些研究是我们评估这一新方法的重要组成部分。以前的研究已经令人信服地表明,弥散加权MRI(DW-MRI)可以报告肿瘤生长期间和治疗后的变化。然而,可检测到的变化只发生在一个关键的时间已经过去,当细胞密度已经改变了足够,和传统的DW-MRI是不敏感的细胞内的早期或更微妙的变化。我们已经开发了一种替代技术,振荡梯度自旋回波(OGSE)DW-MRI,这是唯一的敏感性比细胞,限制组织水的自由扩散的微观结构特征。OGSE测量可以选择性地敏感于不同尺寸的特征,它们似乎能够在细胞密度发生变化之前检测到细胞内的变化,并且它们提供了一种新型的光谱数据,可以对其进行分析以获得定量结构信息。我们已经表明,OGSE成像揭示了肿瘤内更大的异质性,并且在更高的对比度下,它对细胞内特征如核大小敏感,并且似乎对治疗后肿瘤的早期变化更敏感。我们建议应用优化的OGSE方法来测量随着肿瘤生长而发生的变化,以及在体内小鼠模型中对三种不同类型的靶向治疗的反应。我们将确定早期OGSE方法如何检测肿瘤对治疗的反应,这些变化如何预测后期结果,以及哪些OGSE参数与细胞结构,凋亡和增殖的变化相关。OGSE数据将与同一肿瘤的共配准定量组织学和免疫组织化学切片相关,以验证测量结果的解释。我们还将进一步协助OGSE数据的解释,通过执行精细的计算机模拟水在适当复杂的隔间系统。我们的总体目标是验证OGSE方法作为肿瘤临床前研究的实验工具。
英文摘要
DESCRIPTION (provided by applicant): This proposal is being submitted as a companion grant to our application 2R01 CA109106 which was reviewed by the BMIT-B Study Section in June 2011 and awarded a priority score of 12 (2nd percentile) with no recommended budget cuts. Our overall aims are to continue the development, evaluation and validation of a novel magnetic resonance imaging (MRI) technique that is a sensitive indicator of tumor status, before and after treatment, and which provides unique information non-invasively on tissue microstructure. Grant CA109106 was subsequently awarded with a 62% budget reduction compared to what the Study Section recommended. The work being performed with that grant has therefore been amended and substantially reduced in scope, and it no longer will support most of the animal studies or comparisons of treatment effects that were proposed and approved. This proposal aims to secure supplementary support for those studies that were approved but not funded, and which we (and the Study Section) consider essential as part of our evaluation of this new methodology. Previous studies have convincingly shown that diffusion weighted MRI (DW-MRI) can report on changes in tumors during growth and following treatment. However, detectable changes occur only after a critical time has elapsed, when cell density has altered sufficiently, and conventional DW-MRI is not sensitive to earlier or more subtle changes within cells. We have developed an alternative technique, oscillating gradient spin-echo (OGSE) DW-MRI, which is uniquely sensitive to microstructural features much smaller than a cell which restrict the free diffusion of tissue water. OGSE measurements may be sensitized selectively to features of different sizes, they appear to be able to detect changes within cells before there are changes in cell density, and they provide a new type of spectral data which can be analyzed to obtain quantitative structural information. We have shown that OGSE imaging reveals greater heterogeneity within tumors, and at higher contrast, that it is sensitive to intra-cellular features such as nuclear size, and that it seems more sensitive to earlier changes in tumors following treatment. We propose to apply optimized OGSE methods to measure changes that occur with the growth of tumors, and in response to three different classes of targeted treatments, in mouse models in vivo. We will establish how early OGSE methods can detect the response of tumors to treatments, how well these changes predict later outcomes, and which OGSE parameters correlate with changes in cellularity, apoptosis and proliferation. The OGSE data will be correlated with co-registered quantitative histological and immunohistochemical sections of the same tumor to verify the interpretation of the measurements. We will also further assist the interpretation of OGSE data by performing elaborate computer simulations of water in compartmental systems of appropriate complexity. Our overall aim is to validate OGSE methods as an experimental tool for pre-clinical studies of tumors.
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