1. Neuroimaging biomarkers for clinical trials in atypical parkinsonian disorders: Proposal for a Neuroimaging Biomarker Utility System
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Thilo vanEimeren, Angelo Antonini, Daniela Berg, Nico Bohnen, Roberto Ceravolo, Alexander Drzezga, Günter U. Höglinger, Makoto Higuchi, Stephane Lehericy, Simon Lewis, Oury Monchi, Peter Nestor, Matej Ondrus, Nicola Pavese, María Cecilia Peralta, Paola Piccini, José Ángel Pineda‐Pardo, Irena Rektorová, María Rodríguez‐Oroz, Axel Rominger, Klaus Seppi, A. Jon Stoessl, Alessandro Tessitore, Stephane Thobois, Valtteri Kaasinen, Gregor Wenning, Hartwig R. Siebner, Antonio P. Strafella, James B. Rowe, MDS Neuroimaging Study Group and the JPND Working Group ASAP‐SynTau, van Eimeren, T., Antonini, A., Berg, D., Bohnen, N., Ceravolo, R., Drzezga, A., Hoglinger, G. U., Higuchi, M., Lehericy, S., Lewis, S., Monchi, O., Nestor, P., Ondrus, M., Pavese, N., Peralta, M. C., Piccini, P., Pineda-Pardo, J. A., Rektorova, I., Rodriguez-Oroz, M., Rominger, A., Seppi, K., Stoessl, A. J., Tessitore, A., Thobois, S., Kaasinen, V., Wenning, G., Siebner, H. R., Strafella, A. P., Rowe, J. B., Rowe, James [0000-0001-7216-8679], and Apollo - University of Cambridge Repository
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Future studies ,610 Medicine & health ,Neuroimaging ,Neuroimaging biomarkers ,Disease ,lcsh:Geriatrics ,lcsh:RC346-429 ,Special Section: Working Group Summaries for the European Joint Programme for Neurodegenerative Disease Research (JPND). (Guest Editors: Jorge Jovicich & Giovanni B. Frisoni) ,CBS ,03 medical and health sciences ,0302 clinical medicine ,MSA ,Medicine ,ddc:610 ,Neurodegeneration ,lcsh:Neurology. Diseases of the nervous system ,030304 developmental biology ,Trials ,PSP ,0303 health sciences ,business.industry ,Disease progression ,Biomarker ,3. Good health ,ddc ,Clinical trial ,lcsh:RC952-954.6 ,Psychiatry and Mental health ,PET ,Multicentric ,Multisite ,Harmonization ,Biomarker (medicine) ,CBD ,Neurology (clinical) ,Utility system ,business ,MRI ,Neuroscience ,030217 neurology & neurosurgery - Abstract
Introduction 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. Methods 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. Results 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). Discussion 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., Highlights • Challenges in ascribing utility of neuroimaging biomarkers in clinical trials. • Criteria for utility of neuroimaging biomarkers in clinical trials. • Proposition of a formalized and graded utility description system.
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- 2018
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