van Eimeren Thilo, Antonini Angelo, Berg Daniela, Bohnen Nico, Ceravolo Roberto, Drzezga Alexander, Höglinger Günter U, Higuchi Makoto, Lehericy Stephane, Lewis Simon, Monchi Oury, Nestor Peter, Ondrus Matej, Pavese Nicola, Peralta María Cecilia, Piccini Paola, Pineda-Pardo José Ángel, Rektorová Irena, Rodríguez-Oroz María, Rominger Axel, Seppi Klaus, Stoessl A Jon, Tessitore Alessandro, Thobois Stephane, Kaasinen Valtteri, Wenning Gregor, Siebner Hartwig R, Strafella Antonio P, Rowe James B
Multimodal Neuroimaging, Department of Nuclear Medicine, Medical Faculty and University Hospital, University of Cologne, Cologne, Germany.
German Centre for Neurodegenerative Diseases (DZNE), Bonn-Cologne, Germany.
Alzheimers Dement (Amst). 2019 Apr 2;11:301-309. doi: 10.1016/j.dadm.2019.01.011. eCollection 2019 Dec.
Therapeutic strategies targeting protein aggregations are ready for clinical trials in atypical parkinsonian disorders. Therefore, there is an urgent need for neuroimaging biomarkers to help with the early detection of neurodegenerative processes, the early differentiation of the underlying pathology, and the objective assessment of disease progression. However, there currently is not yet a consensus in the field on how to describe utility of biomarkers for clinical trials in atypical parkinsonian disorders.
To promote standardized use of neuroimaging biomarkers for clinical trials, we aimed to develop a conceptual framework to characterize in more detail the kind of neuroimaging biomarkers needed in atypical parkinsonian disorders, identify the current challenges in ascribing utility of these biomarkers, and propose criteria for a system that may guide future studies.
As a consensus outcome, we describe the main challenges in ascribing utility of neuroimaging biomarkers in atypical parkinsonian disorders, and we propose a conceptual framework that includes a graded system for the description of utility of a specific neuroimaging measure. We included separate categories for the ability to accurately identify an intention-to-treat patient population early in the disease (Early), to accurately detect a specific underlying pathology (Specific), and the ability to monitor disease progression (Progression).
We suggest that the advancement of standardized neuroimaging in the field of atypical parkinsonian disorders will be furthered by a well-defined reference frame for the utility of biomarkers. The proposed utility system allows a detailed and graded description of the respective strengths of neuroimaging biomarkers in the currently most relevant areas of application in clinical trials.
针对蛋白质聚集的治疗策略已准备好在非典型帕金森病中进行临床试验。因此,迫切需要神经影像学生物标志物来帮助早期检测神经退行性过程、早期区分潜在病理以及客观评估疾病进展。然而,目前该领域对于如何描述非典型帕金森病临床试验中生物标志物的效用尚未达成共识。
为促进神经影像学生物标志物在临床试验中的标准化使用,我们旨在建立一个概念框架,以更详细地描述非典型帕金森病所需的神经影像学生物标志物类型,确定在赋予这些生物标志物效用方面当前面临的挑战,并提出一个可能指导未来研究的系统标准。
作为一个共识性成果,我们描述了在赋予非典型帕金森病神经影像学生物标志物效用方面的主要挑战,并提出了一个概念框架,其中包括一个用于描述特定神经影像学测量效用的分级系统。我们为在疾病早期准确识别意向性治疗患者群体的能力(早期)、准确检测特定潜在病理的能力(特异性)以及监测疾病进展的能力(进展)设置了单独的类别。
我们认为,生物标志物效用的明确定义参考框架将推动非典型帕金森病领域标准化神经影像学的发展。所提出的效用系统能够对神经影像学生物标志物在当前临床试验最相关应用领域中的各自优势进行详细和分级描述。