E
Enrico De Vita
Researcher at King's College London
Publications - 95
Citations - 3517
Enrico De Vita is an academic researcher from King's College London. The author has contributed to research in topics: Magnetic resonance imaging & Medicine. The author has an hindex of 26, co-authored 86 publications receiving 2794 citations. Previous affiliations of Enrico De Vita include University College London Hospitals NHS Foundation Trust & UCL Institute of Neurology.
Papers
More filters
Journal ArticleDOI
Longitudinal evaluation of proton magnetic resonance spectroscopy metabolites as biomarkers in Huntington’s disease
Alexander J. Lowe,A. B. Rodrigues,Marzena Arridge,Enrico De Vita,Eileanoir B. Johnson,Rachael I. Scahill,Lauren M. Byrne,Rosanna Tortelli,Amanda Heslegrave,Henrik Zetterberg,Edward J. Wild +10 more
TL;DR: There is some evidence of reduced total n-acetylaspartate and total creatine as the disease progresses and cross-sectional associations between select metabolites, namely total creatine and myo-inositol, and markers of disease progression, potentially highlighting the proposed roles of neuroinflammation and metabolic dysfunction in disease pathogenesis.
Book ChapterDOI
Single Voxel MR Spectroscopy in the Spinal Cord: Technical Challenges and Clinical Applications
Bhavana Solanky,Enrico De Vita +1 more
TL;DR: Issues relating to coil selection, patient immobilization, sequence choice, and placement of voxels of interest for single-voxel MRS studies in the spinal cord are discussed here.
Journal ArticleDOI
Arterial Spin Labeled Perfusion MRI for Assessing Antiangiogenic Therapy: A Step Forward or Just More Spin?
Vicky Goh,Enrico De Vita +1 more
Journal ArticleDOI
Reproducibility of MRI-based white matter tract estimation using multi-fiber probabilistic tractography: effect of user-defined parameters and regions.
Irène Brumer,Irène Brumer,Enrico De Vita,Jonathan Ashmore,Jonathan Ashmore,Jozef Jarosz,Marco Borri +6 more
TL;DR: In this article, the authors evaluate both intrinsic and inter-user reproducibility of corticospinal tract estimation using multibre probabilistic tractography in six clinical datasets including motor functional and diffusion MRI.
Proceedings ArticleDOI
823 Ultra-high field 7 Tesla Magnetic Resonance Brain Imaging in Neonates: feasibility studies
Miguel De la Fuente,Pip Bridgen,Daniel Cromb,Pauline Cawley,Raphael Tomi-Tricot,Enrico De Vita,Anthony N. Price,Alena Uus,Maria Deprez,Lucilio Cordero-Grande,Sharon L. Giles,Serena J. Counsell,Mary A. Rutherford,David Edwards,Joseph V. Hajnal,Shaihan J. Malik,Tomoki Arichi +16 more
TL;DR: In this paper , the feasibility of 7T MRI imaging for pediatric neurological disorders was investigated and the potential gains in anatomical and pathological sensitivity were explored. But, at standard MRI field strengths MRIs (1.5 and 3 Tesla) there are limitations in tissue contrast and resolution.