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Dive into the research topics where Vera C. Keil is active.

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Featured researches published by Vera C. Keil.


Investigative Radiology | 2014

Intraindividual quantitative and qualitative comparison of gadopentetate dimeglumine and gadobutrol in time-resolved contrast-enhanced 4-dimensional magnetic resonance angiography in minipigs.

Dariusch R. Hadizadeh; Gregor Jost; Hubertus Pietsch; Martin Weibrecht; Michael Perkuhn; Jack M. Boschewitz; Vera C. Keil; Frank Träber; Guido M. Kukuk; Hans Heinz Schild; Winfried A. Willinek

ObjectivesThe concentration and relaxivities of contrast agents affect quantitative and qualitative image quality in contrast-enhanced time-resolved 4-dimensional magnetic resonance angiography (4D-MRA). Gadobutrol has a high relaxivity and is the only gadolinium (Gd)-based contrast agent approved for clinical use at a 1 M concentration. This promises to confer superior bolus characteristics by generating a steeper and shorter bolus with a higher peak Gd concentration. The purpose of this study was to quantitatively examine bolus characteristics of 1 M gadobutrol compared with 0.5 M gadopentetate dimeglumine and to evaluate image quality in thoracoabdominal 4D-MRA. Materials and MethodsA total of 7 Goettingen minipigs received dynamic computed tomography (CT) on a clinical 64-slice CT (transverse slices, 80 kV, 20 seconds, 0.3 s/dynamic frame) and 4D-MRA (time-resolved imaging with stochastic trajectories; 1. transverse slices, 30 seconds, 0.49 s/frame; 2. coronal slices, 70 seconds, 1.3 s/frame) on a 1.5-T clinical whole-body magnetic resonance imaging under general anesthesia using gadopentetate dimeglumine and gadobutrol in an intraindividual comparative study. Computed tomography attenuations were converted into Gd concentrations on the basis of previous phantom experiments. Quantitative analysis included measurements of the full width at half maximum, time-to-peak intervals, and peak of each bolus in dynamic CT and transverse 4D-MRA. These studies were carried out at equivalent contrast agent flow rates of 1 mL/s. Quantitative analysis (7 arteries and veins) and qualitative image analysis were performed on coronal thoracoabdominal 4D-MRA studies carried out at flow rates of 1 mL/s and, in the case of gadopentetate dimeglumine, also at molarity-adjusted flow rates of 2 mL/s. ResultsThe bolus in both transverse 4D-MRA and dynamic CT was significantly narrower (full width at half maximum), earlier (time to peak), and higher (signal intensity enhancement in 4D-MRA, Gd concentration in dynamic CT) when using gadobutrol instead of gadopentetate dimeglumine at a flow rate of 1.0 mL/s (P = 0.008−< 0.0001). In thoracoabdominal 4D-MRA, the signal intensity level and overall image quality were highest in examinations with gadobutrol, followed by examinations with gadopentetate dimeglumine at flow rates of 2 mL/s, and lowest in examinations with gadopentetate dimeglumine at flow rates of 1 mL/s. ConclusionsA more compact bolus shape was observed after administration of gadobutrol compared with gadopentetate dimeglumine in minipigs. This was demonstrated both in 4D-MRA, where Gd concentration, relaxivity, and the image-acquisition technique play a role, and in CT, where the signal intensity depends only on the Gd concentration. The overall image quality was rated higher in examinations with 1.0 M gadobutrol than with 0.5 M gadopentetate dimeglumine.


Journal of Magnetic Resonance Imaging | 2017

Intravoxel incoherent motion MRI in the brain: Impact of the fitting model on perfusion fraction and lesion differentiability

Vera C. Keil; Burkhard Mädler; Gerrit H. Gielen; Bogdan Pintea; Kanishka Hiththetiya; Alisa R. Gaspranova; Jürgen Gieseke; Matthias Simon; Hans Heinz Schild; Dariusch R. Hadizadeh

To investigate the effect of the choice of the curve‐fitting model on the perfusion fraction (fIVIM) with regard to tissue type characterization, correlation with microvascular anatomy, and dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) parameters. Several curve‐fitting models coexist in intravoxel incoherent motion (IVIM) MRI to derive the (fIVIM).


BMC Research Notes | 2014

Rapid brain death caused by a cerebellar abscess with Fusobacterium nucleatum in a young man with drug abuse: a case report

Gunnar T.R. Hischebeth; Vera C. Keil; Katrin Gentil; Azize Boström; Klaus Kuchelmeister; Isabelle Bekeredjian-Ding

BackgroundFusobacterium nucleatum is a strict anaerobic microorganism that causes disease entities such as periodontal and soft tissue abscesses, pulmonary and intraabdominal infections and very rarely intracerebral infections.Case presentationHere, we report the rare case of a previously healthy 25-year-old German man with a cerebellar abscess caused by Fusobacterium nucleatum that resulted in rapid brain death. Toxicological screening showed positivity for amphetamines and cannabis. The diagnosis was obtained by polymerase chain reaction amplification of bacterial deoxyribonucleic acid in cerebrospinal fluid.ConclusionsIn drug users clinicians should think about rare causes of brain abscesses/meningitis. Early diagnosis is necessary and justifies the use of molecular techniques.


Magnetic Resonance Imaging | 2017

Effects of arterial input function selection on kinetic parameters in brain dynamic contrast-enhanced MRI

Vera C. Keil; Burkhard Mädler; Jürgen Gieseke; Rolf Fimmers; Elke Hattingen; Hans Heinz Schild; Dariusch R. Hadizadeh

PURPOSE Kinetic parameters derived from dynamic contrast-enhanced MRI (DCE-MRI) were suggested as a possible instrument for multi-parametric lesion characterization, but have not found their way into clinical practice yet due to inconsistent results. The quantification is heavily influenced by the definition of an appropriate arterial input functions (AIF). Regarding brain tumor DCE-MRI, there are currently several co-existing methods to determine the AIF frequently including different brain vessels as sources. This study quantitatively and qualitatively analyzes the impact of AIF source selection on kinetic parameters derived from commonly selected AIF source vessels compared to a population-based AIF model. MATERIAL AND METHODS 74 patients with brain lesions underwent 3D DCE-MRI. Kinetic parameters [transfer constants of contrast agent efflux and reflux Ktrans and kep and, their ratio, ve, that is used to measure extravascular-extracellular volume fraction and plasma volume fraction vp] were determined using extended Tofts model in 821 ROI from 4 AIF sources [the internal carotid artery (ICA), the closest artery to the lesion, the superior sagittal sinus (SSS), the population-based Parker model]. The effect of AIF source alteration on kinetic parameters was evaluated by tissue type selective intra-class correlation (ICC) and capacity to differentiate gliomas by WHO grade [area under the curve analysis (AUC)]. RESULTS Arterial AIF more often led to implausible ve >100% values (p<0.0001). AIF source alteration rendered different absolute kinetic parameters (p<0.0001), except for kep. ICC between kinetic parameters of different AIF sources and tissues were variable (0.08-0.87) and only consistent >0.5 between arterial AIF derived kinetic parameters. Differentiation between WHO III and II glioma was exclusively possible with vp derived from an AIF in the SSS (p=0.03; AUC 0.74). CONCLUSION The AIF source has a significant impact on absolute kinetic parameters in DCE-MRI, which limits the comparability of kinetic parameters derived from different AIF sources. The effect is also tissue-dependent. The SSS appears to be the best choice for AIF source vessel selection in brain tumor DCE-MRI as it exclusively allowed for WHO grades II/III and III/IV glioma distinction (by vp) and showed the least number of implausible ve values.


Journal of Neuroradiology | 2018

Meningioma assessment: Kinetic parameters in dynamic contrast-enhanced MRI appear independent from microvascular anatomy and VEGF expression

Vera C. Keil; Bogdan Pintea; Gerrit H. Gielen; Kanishka Hittatiya; Angeliki Datsi; Matthias Simon; Rolf Fimmers; Hans Heinz Schild; Dariusch R. Hadizadeh

BACKGROUND AND PURPOSE Kinetic parameters of T1-weighted dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) are considered to be influenced by microvessel environment. This study was performed to explore the extent of this association for meningiomas. MATERIALS AND METHODS DCE-MRI kinetic parameters (contrast agent transfer constants Ktrans and kep, volume fractions vp and ve) were determined in pre-operative 3T MRI of meningioma patients for later biopsy sites (19 patients; 15 WHO Io, no previous radiation, and 4 WHO IIIo pre-radiated recurrent tumors). Sixty-three navigated biopsies were consecutively retrieved. Biopsies were immunohistochemically investigated with endothelial marker CD34 and VEGF antibodies, stratified in a total of 4383 analysis units and computationally assessed for VEGF expression and vascular parameters (vessel density, vessel quantity, vascular fraction within tissue [vascular area ratio], vessel wall thickness). Derivability of kinetic parameters from VEGF expression or microvascularization was determined by mixed linear regression analysis. Tissue kinetic and microvascular parameters were tested for their capacity to identify the radiation status in a subanalysis. RESULTS Kinetic parameters were neither significantly related to the corresponding microvascular parameters nor to tissue VEGF expression. There was no significant association between microvessel density and its presumed correlate vp (P=0.07). The subgroup analysis of high-grade radiated meningiomas showed a significantly reduced microvascular density (AUC 0.91; P<0.0001) and smaller total vascular fraction (AUC 0.73; P=0.01). CONCLUSIONS In meningioma, DCE-MRI kinetic parameters neither allow for a reliable prediction of tumor microvascularization, nor for a prediction of VEGF expression. Kinetic parameters seem to be determined from different independent factors.


Archive | 2018

Bildgebende Diagnostik von Gliomen

Elke Hattingen; Vera C. Keil; Andreas Müller

Die Bildgebung dient zur praoperativen Differenzialdiagnostik einer zerebralen Raumforderung, zur Operationsplanung und -kontrolle sowie zum Therapiemonitoring. Wichtigste Methode ist hierbei die Magnetresonanztomografie (MRT), die aufgrund ihres hohen Weichteilkontrasts und der 3D-Hirndarstellung anderen bildgebenden Verfahren bei den meisten Fragestellungen uberlegen ist. Dieses Kapitel gibt einen Einblick in wichtige Grundzuge, Moglichkeiten und Grenzen der Bildgebung in der Tumordiagnostik. In Zukunft wird das molekulare Profil der Tumore fur Diagnose, Prognose und Therapieentscheidung immer bedeutender; entsprechend wird sich die Rolle der Bildgebung andern. Vor diesem Hintergrund werden nur die wichtigsten Differenzialdiagnosen in der praoperativen Bildgebung sowie die Bedeutung verschiedener MR-Methoden fur Operationsplanung und Therapiemonitoring genannt.


Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren | 2015

The Whole Spectrum of Alcohol-Related Changes in the CNS: Practical MR and CT Imaging Guidelines for Daily Clinical Use

Vera C. Keil; Susanne Greschus; C. Schneider; Dariusch R. Hadizadeh; Hans Heinz Schild


Journal of Neuro-oncology | 2017

Biopsy targeting with dynamic contrast-enhanced versus standard neuronavigation MRI in glioma: a prospective double-blinded evaluation of selection benefits

Vera C. Keil; Bogdan Pintea; Gerrit H. Gielen; Susanne Greschus; Rolf Fimmers; Jürgen Gieseke; Matthias Simon; Hans Heinz Schild; Dariusch R. Hadizadeh


Neuroradiology | 2017

New prognostic factor telomerase reverse transcriptase promotor mutation presents without MR imaging biomarkers in primary glioblastoma

Tunc F. Ersoy; Vera C. Keil; Dariusch R. Hadizadeh; Gerrit H. Gielen; Rolf Fimmers; Andreas Waha; Barbara Heidenreich; Rajiv Kumar; Hans Heinz Schild; Matthias Simon


Rofo-fortschritte Auf Dem Gebiet Der Rontgenstrahlen Und Der Bildgebenden Verfahren | 2018

Als pulmonale Raumforderung imponierende Variante des Plexus brachialis

Pascal Niggemann; Hans Scheffel; Bastian Klaan; Rainer Bolkart; Christopher Heidereich; Vera C. Keil; Dariusch R. Hadizadeh

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Bogdan Pintea

University Hospital Bonn

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Elke Hattingen

University Hospital Bonn

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