Combination of Structural MRI and FDG-PET of the Brain Improves Diagnostic Accuracy in Newly Manifested Cognitive Impairment in Geriatric Inpatients.
Autor: | Ritter K; Berlin Center for Advanced Neuroimaging, Bernstein Center for Computational Neuroscience, Charité - Universitätsmedizin Berlin, Berlin, Germany., Lange C; Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany., Weygandt M; Berlin Center for Advanced Neuroimaging, Bernstein Center for Computational Neuroscience, Charité - Universitätsmedizin Berlin, Berlin, Germany., Mäurer A; Evangelisches Geriatriezentrum Berlin, Berlin, Germany., Roberts A; Evangelisches Geriatriezentrum Berlin, Berlin, Germany., Estrella M; Geriatric Research Group, Department of Geriatric Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany., Suppa P; Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany.; Jung Diagnostics GmbH, Hamburg, Germany., Spies L; Jung Diagnostics GmbH, Hamburg, Germany., Prasad V; Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany., Steffen I; Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany., Apostolova I; Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany., Bittner D; Department of Neurology, University Hospital Magdeburg, Magdeburg, Germany., Gövercin M; Geriatric Research Group, Department of Geriatric Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany., Brenner W; Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany., Mende C; Vivantes Ida Wolff Krankenhaus, Berlin, Germany., Peters O; Department of Psychiatry and Psychotherapy Charité Benjamin Franklin, Charité - Universitätsmedizin Berlin, Berlin, Germany., Seybold J; Evangelisches Geriatriezentrum Berlin, Berlin, Germany.; Department of Internal Medicine/Infectious Diseases and Pulmonary Medicine, Charité - Universitätsmedizin Berlin, Germany., Fiebach JB; Center for Stroke Research Berlin, Charité, Berlin, Germany., Steinhagen-Thiessen E; Lipid Clinic at the Interdisciplinary Metabolism Center, Charité - Universitätsmedizin, Berlin, Germany., Hampel H; AXA Research Fund & UPMC Chair, Sorbonne Universités, Université Pierre et Marie Curie, Paris 06, Institut de la Mémoire et de la Maladied' Alzheimer (IM2A) & Institut du Cerveau et de la Moelleépinière (ICM), Département de Neurologie, Hôpital de la Pitié-Salpêtrière, Paris, France., Haynes JD; Berlin Center for Advanced Neuroimaging, Bernstein Center for Computational Neuroscience, Charité - Universitätsmedizin Berlin, Berlin, Germany., Buchert R; Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany. |
---|---|
Jazyk: | angličtina |
Zdroj: | Journal of Alzheimer's disease : JAD [J Alzheimers Dis] 2016 Oct 18; Vol. 54 (4), pp. 1319-1331. |
DOI: | 10.3233/JAD-160380 |
Abstrakt: | Background: The cause of cognitive impairment in acutely hospitalized geriatric patients is often unclear. The diagnostic process is challenging but important in order to treat potentially life-threatening etiologies or identify underlying neurodegenerative disease. Objective: To evaluate the add-on diagnostic value of structural and metabolic neuroimaging in newly manifested cognitive impairment in elderly geriatric inpatients. Methods: Eighty-one inpatients (55 females, 81.6±5.5 y) without history of cognitive complaints prior to hospitalization were recruited in 10 acute geriatrics clinics. Primary inclusion criterion was a clinical hypothesis of Alzheimer's disease (AD), cerebrovascular disease (CVD), or mixed AD+CVD etiology (MD), which remained uncertain after standard diagnostic workup. Additional procedures performed after enrollment included detailed neuropsychological testing and structural MRI and FDG-PET of the brain. An interdisciplinary expert team established the most probable etiologic diagnosis (non-neurodegenerative, AD, CVD, or MD) integrating all available data. Automatic multimodal classification based on Random Undersampling Boosting was used for rater-independent assessment of the complementary contribution of the additional diagnostic procedures to the etiologic diagnosis. Results: Automatic 4-class classification based on all diagnostic routine standard procedures combined reproduced the etiologic expert diagnosis in 31% of the patients (p = 0.100, chance level 25%). Highest accuracy by a single modality was achieved by MRI or FDG-PET (both 45%, p≤0.001). Integration of all modalities resulted in 76% accuracy (p≤0.001). Conclusion: These results indicate substantial improvement of diagnostic accuracy in uncertain de novo cognitive impairment in acutely hospitalized geriatric patients with the integration of structural MRI and brain FDG-PET into the diagnostic process. |
Databáze: | MEDLINE |
Externí odkaz: |