Combination of Structural MRI and FDG-PET of the Brain Improves Diagnostic Accuracy in Newly Manifested Cognitive Impairment in Geriatric Inpatients
Article type: Research Article
Authors: Ritter, Kerstina; * | Lange, Catharinab | Weygandt, Martina | Mäurer, Anjac | Roberts, Annac | Estrella, Melanied | Suppa, Perb; e | Spies, Lothare | Prasad, Vikasb | Steffen, Ingob | Apostolova, Ivaylaf | Bittner, Danielg | Gövercin, Mehmetd | Brenner, Winfriedb | Mende, Christineh | Peters, Oliveri | Seybold, Joachimc; j | Fiebach, Jochen B.k | Steinhagen-Thiessen, Elisabethl | Hampel, Haraldm | Haynes, John-Dylana | Buchert, Ralphb; *
Affiliations: [a] Berlin Center for Advanced Neuroimaging, Bernstein Center for Computational Neuroscience, Charité - Universitätsmedizin Berlin, Berlin, Germany | [b] Department of Nuclear Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany | [c] Evangelisches Geriatriezentrum Berlin, Berlin, Germany | [d] Geriatric Research Group, Department of Geriatric Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany | [e] Jung Diagnostics GmbH, Hamburg, Germany | [f] Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany | [g] Department of Neurology, University Hospital Magdeburg, Magdeburg, Germany | [h] Vivantes Ida Wolff Krankenhaus, Berlin, Germany | [i] Department of Psychiatry and Psychotherapy Charité Benjamin Franklin, Charité - Universitätsmedizin Berlin, Berlin, Germany | [j] Department of Internal Medicine/Infectious Diseases and Pulmonary Medicine, Charité - Universitätsmedizin Berlin, Germany | [k] Center for Stroke Research Berlin, Charité, Berlin, Germany | [l] Lipid Clinic at the Interdisciplinary Metabolism Center, Charité - Universitätsmedizin, Berlin, Germany | [m] 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
Correspondence: [*] Correspondence to: Kerstin Ritter, PhD and Ralph Buchert, PhD, Charitéplatz 1, 10117 Berlin, Germany. Tel.: +49 30 450 539364; Fax: +49 30 2093 6758; E-mail: [email protected] (K. Ritter); Tel.: +49 30 450 627059; Fax: +49 30 450 7527959; E-mail: [email protected] (R. Buchert).
Abstract: 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.
Keywords: Cognitive impairment, geriatric inpatients, magnetic resonance imaging, multimodal classification, positron emission tomography
DOI: 10.3233/JAD-160380
Journal: Journal of Alzheimer's Disease, vol. 54, no. 4, pp. 1319-1331, 2016