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DOI 10.1016/j.neurobiolaging.2016.07.012

Медицинская библиотека · Neurobiology of aging · 2017

Clinical validity of increased cortical uptake of amyloid ligands on PET as a biomarker for Alzheimer's disease in the context of a structured 5-phase development framework.

Chiotis Konstantinos, Saint-Aubert Laure, Boccardi Marina, Gietl Anton, Picco Agnese, Varrone Andrea, Garibotto Valentina, Herholz Karl, Nobili Flavio, Nordberg Agneta, Geneva Task Force for the Roadmap of Alzheimer's Biomarkers

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Аннотация

The use of biomarkers has been proposed for diagnosing Alzheimer's disease in recent criteria, but some biomarkers have not been sufficiently investigated to justify their routine clinical use. Here, we evaluate in a literature review the clinical validity of amyloid positron emission tomography (PET) imaging using a structured framework developed for the assessment of oncological biomarkers. Homogenous criteria have been addressed in reviews of other Alzheimer's disease biomarkers. There is adequate evidence that the main aims of phases 1 (rationale for use) and 2 (discriminative ability) have been achieved. The aims of phase 3 (early detection ability) have been partly achieved, while phase 4 studies (performance in representative mild cognitive impairment patients) are currently ongoing. Phase 5 studies (quantification of impact and costs) are still to come. This review highlights the priorities to be pursued to enable the proper use of amyloid PET imaging in a clinical setting. Future investigations will primarily be large, phase 4 studies that will assess the utility of amyloid PET imaging in routine clinical practice.

Для цитирования: Chiotis Konstantinos, Saint-Aubert Laure, Boccardi Marina, Gietl Anton, Picco Agnese, Varrone Andrea, Garibotto Valentina, Herholz Karl, Nobili Flavio, Nordberg Agneta, Geneva Task Force for the Roadmap of Alzheimer's Biomarkers. Clinical validity of increased cortical uptake of amyloid ligands on PET as a biomarker for Alzheimer's disease in the context of a structured 5-phase development framework.. Neurobiology of aging. 2017. DOI: 10.1016/j.neurobiolaging.2016.07.012.

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