Establishing the clinical utility of a consensus DSC-MRI Protocol
建立共识 DSC-MRI 协议的临床实用性
基本信息
- 批准号:10725276
- 负责人:
- 金额:$ 61.79万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-03-01 至 2027-02-28
- 项目状态:未结题
- 来源:
- 关键词:19qAccelerationAddressAdmixtureAdoptionAftercareBenchmarkingBiopsyBrain NeoplasmsClassificationClinicalClinical TrialsCommittee MembersConsensusDataEuropeExcisionFunctional ImagingFutureGliomaGoalsGuidelinesHealthcareHistologicImageImaging TechniquesInstitutionInternationalMagnetic Resonance ImagingMapsMeasuresMeta-AnalysisMethodologyMethodsMulti-Institutional Clinical TrialMutationPatient Care ManagementPatientsPerfusionPhasePositioning AttributePrediction of Response to TherapyPredispositionProtocols documentationPublicationsPublishingQuality ControlRadiation necrosisRecommendationRecurrenceRecurrent tumorRepeat SurgeryReportingReproducibilityResearch PersonnelScanningSiteSocietiesStandardizationTissue imagingTranslationsUpdateValidationbrain tumor imagingcerebral blood volumeclinical applicationclinical decision-makingclinical practicecohortdigitaldrug developmentimprovedin silicoin vivolongitudinal analysisneuro-oncologyprospectiveradiation effectserial imagingstandard of caretargeted treatmenttooltreatment effecttumortumor diagnosistumor heterogeneity
项目摘要
Abstract
This multi-site study aims to establish best practice recommendations and clinical value of a new consensus
protocol for dynamic susceptibility contrast (DSC) MRI. DSC-MRI is one of the most widely used physiologic
imaging techniques in neuro-oncology, with a reported use in 85% of all routine brain tumor scans at sites across
the US and Europe. DSC-MRI measures of relative cerebral blood volume (rCBV) can differentiate glioma
grades, identify tumor components in non-enhancing glioma, distinguish tumor recurrence from post-treatment
effects (including pseudoprogression and radiation necrosis) and predict treatment response and patient survival
after targeted therapy. Despite this demonstrated value, translation of consistent clinical DSC-MRI guidelines
across multiple institutions remains challenging owing to variability in acquisition and post-processing protocols.
To improve the accuracy, repeatability, and multi-site consistency of DSC-MRI, the team of investigators on this
proposal identified and validated a DSC-MRI protocol that has since become a consensus recommendation for
patients with glioma. Accordingly, we are well positioned to address critical gaps in this field that, once solved,
will accelerate the widespread adoption of the consensus protocol and direct its use in clinical practice. We first
aim to establish best practices for the pre- and post-processing methods for DSC-MRI. We will then leverage
our expertise with image-localized biopsies and matched image-tissue correlations to establish guidelines for
interpreting rCBV maps generated with the consensus protocol, specifically applied to the differentiation of low-
from high-grade glioma, and progression of high-grade glioma from post-treatment effects. Finally, we aim to
establish the clinical value added of the consensus DSC-MRI protocol for impacting brain tumor patient
management. These studies will address key practical and clinical unmet needs that will directly facilitate the
future use of DSC-MRI in glioma patients, thereby promoting widespread adoption of the consensus DSC-MRI
protocol.
抽象的
这项多中心研究旨在建立最佳实践建议和新共识的临床价值
动态磁敏对比 (DSC) MRI 协议。 DSC-MRI 是应用最广泛的生理学检查之一
据报道,85% 的常规脑肿瘤扫描都使用了神经肿瘤学成像技术
美国和欧洲。相对脑血容量 (rCBV) 的 DSC-MRI 测量可以区分神经胶质瘤
分级,识别非增强神经胶质瘤中的肿瘤成分,区分治疗后的肿瘤复发
影响(包括假性进展和放射性坏死)并预测治疗反应和患者生存
靶向治疗后。尽管已经证明了这一价值,但一致的临床 DSC-MRI 指南的翻译
由于采集和后处理协议的可变性,跨多个机构仍然具有挑战性。
为了提高 DSC-MRI 的准确性、重复性和多部位一致性,研究人员团队对此进行了研究
该提案确定并验证了 DSC-MRI 协议,该协议已成为以下领域的共识建议:
神经胶质瘤患者。因此,我们有能力解决该领域的关键差距,一旦解决,
将加速共识协议的广泛采用并指导其在临床实践中的使用。我们首先
旨在建立 DSC-MRI 预处理和后处理方法的最佳实践。然后我们将利用
我们在图像定位活检和匹配图像组织相关性方面的专业知识为
解释用共识协议生成的 rCBV 图,特别适用于区分低
高级神经胶质瘤的进展,以及治疗后影响高级神经胶质瘤的进展。最后,我们的目标是
建立影响脑肿瘤患者的共识 DSC-MRI 方案的临床附加值
管理。这些研究将解决关键的实际和临床未满足的需求,这将直接促进
未来 DSC-MRI 在神经胶质瘤患者中的应用,从而促进共识 DSC-MRI 的广泛采用
协议。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Jerrold L Boxerman其他文献
Jerrold L Boxerman的其他文献
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{{ truncateString('Jerrold L Boxerman', 18)}}的其他基金
Establishing the clinical utility of a consensus DSC-MRI Protocol
建立共识 DSC-MRI 协议的临床实用性
- 批准号:
10459994 - 财政年份:2022
- 资助金额:
$ 61.79万 - 项目类别:
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