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Introduction: Hippocampal volume is a core biomarker of Alzheimer's disease (AD). However, its contribution over the standard diagnostic workup is unclear. Methods: Three hundred fifty-six patients, under clinical evaluation for cognitive impairment, with suspected AD and Mini-Mental State Examination >= 20, were recruited across 17 European memory clinics. After the traditional diagnostic workup, diagnostic confidence of AD pathology (DCAD) was estimated by the physicians in charge. The latter were provided with the results of automated hippocampal volumetry in standardized format and DCAD was reassessed. Results: An increment of one interquartile range in hippocampal volume was associated with a mean change of DCAD of 28.0% (95% credible interval: [211.5, 25.0]). Automated hippocampal volumetry showed a statistically significant impact on DCAD beyond the contributions of neuropsychology, 18 F-fluorodeoxyglucose positron emission tomography/single-photon emission computed tomography, and cerebrospinal fluid markers (28.5, CrI: [211.5, 25.6]; 214.1, CrI: [219.3, 28.8]; 210.6, CrI: [214.6, 26.1], respectively). Discussion: There is a measurable effect of hippocampal volume on DCAD even when used on top of the traditional diagnostic workup. (C) 2017 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Background: The purpose of this article is to describe the role of functional radiological imaging modality–CT perfusion in the evaluation of head and neck tumors. Methods: Perfusion CT imaging provides a rapid evaluation of tissue perfusion and can be easily implemented in every head and neck CT protocol. The determination of tissue perfusion using CT is based on examining the relationships between the arterial, tissue and potentially the venous enhancement after the introduction of a bolus of contrast material. The quantification of the perfusion values allows us to determinate the processes of neovascularization, also known as angiogenesis, essential for the growth of head and neck tumors. Conclusions: Perfusion CT is a robust, accessible and promising method for the assessment of functional parameters on the tissue level. It helps outlining the malignant tissue as well as differentiating recurrent disease from nonspecific post-therapeutic changes and can be used as a therapeutic monitoring tool during and after tumor therapy.