Literature DB >> 25841277

PET/MR in dementia and other neurodegenerative diseases.

Henryk Barthel1, Matthias L Schroeter2, Karl-Titus Hoffmann3, Osama Sabri4.   

Abstract

The spectrum of neurodegenerative diseases covers the dementias, parkinsonian syndromes, Huntington disease, amyotrophic lateral sclerosis, and prion diseases. In these entities, brain MRI is often used in clinical routine to exclude other pathologies and to demonstrate specific atrophy patterns. [18F]FDG PET delivers early and sensitive readouts of neural tissue loss, and more specific PET tracers currently in use clinically target β-amyloid plaques or dopaminergic deficiency. The recent integration of PET into MR technology offers a new chance to improve early and differential diagnosis of many neurodegenerative diseases. Initial evidence in the literature is available to support this notion. New emerging PET tracers, such as tracers that bind to tau or α-synuclein aggregates, as well as MR techniques, like diffusion-tensor imaging, resting-state functional MRI, and arterial spin labeling, have the potential to broaden the diagnostic capabilities of combined PET/MRI to image dementias, Parkinson disease, and other neurodegenerative diseases. The ultimate goal is to establish combined PET/MRI as a first-line imaging technique to provide, in a one-stop-shop fashion with improved patient comfort, all biomarker information required to increase diagnostic confidence toward specific diagnoses. The technical challenge of accurate PET data attenuation correction within PET/MRI systems needs yet to be solved. Apart from the projected clinical routine applications, future research would need to answer the questions of whether combined brain PET/MRI is able to improve basic research of neurodegenerative diseases and antineurodegeneration drug testing.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25841277     DOI: 10.1053/j.semnuclmed.2014.12.003

Source DB:  PubMed          Journal:  Semin Nucl Med        ISSN: 0001-2998            Impact factor:   4.446


  27 in total

Review 1.  Hybrid MR-PET in Neuroimaging.

Authors:  S Bisdas; C Lá Fougere; U Ernemann
Journal:  Clin Neuroradiol       Date:  2015-07-31       Impact factor: 3.649

Review 2.  PET/MRI of central nervous system: current status and future perspective.

Authors:  Zhen Lu Yang; Long Jiang Zhang
Journal:  Eur Radiol       Date:  2016-01-15       Impact factor: 5.315

3.  Test-retest measurements of dopamine D1-type receptors using simultaneous PET/MRI imaging.

Authors:  Simon Kaller; Michael Rullmann; Marianne Patt; Georg-Alexander Becker; Julia Luthardt; Johanna Girbardt; Philipp M Meyer; Peter Werner; Henryk Barthel; Anke Bresch; Thomas H Fritz; Swen Hesse; Osama Sabri
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-02-14       Impact factor: 9.236

Review 4.  Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry.

Authors:  Najmeh Khalili-Mahani; Serge A R B Rombouts; Matthias J P van Osch; Eugene P Duff; Felix Carbonell; Lisa D Nickerson; Lino Becerra; Albert Dahan; Alan C Evans; Jean-Paul Soucy; Richard Wise; Alex P Zijdenbos; Joop M van Gerven
Journal:  Hum Brain Mapp       Date:  2017-02-01       Impact factor: 5.038

Review 5.  Imaging and spectroscopic approaches to probe brain energy metabolism dysregulation in neurodegenerative diseases.

Authors:  Gilles Bonvento; Julien Valette; Julien Flament; Fanny Mochel; Emmanuel Brouillet
Journal:  J Cereb Blood Flow Metab       Date:  2017-03-09       Impact factor: 6.200

6.  ZTE MR-based attenuation correction in brain FDG-PET/MR: performance in patients with cognitive impairment.

Authors:  Brian Sgard; Maya Khalifé; Arthur Bouchut; Brice Fernandez; Marine Soret; Alain Giron; Clara Zaslavsky; Gaspar Delso; Marie-Odile Habert; Aurélie Kas
Journal:  Eur Radiol       Date:  2019-11-20       Impact factor: 5.315

7.  Generalization of deep learning models for ultra-low-count amyloid PET/MRI using transfer learning.

Authors:  Kevin T Chen; Matti Schürer; Jiahong Ouyang; Mary Ellen I Koran; Guido Davidzon; Elizabeth Mormino; Solveig Tiepolt; Karl-Titus Hoffmann; Osama Sabri; Greg Zaharchuk; Henryk Barthel
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-06-13       Impact factor: 9.236

8.  Multivariate radiomics models based on 18F-FDG hybrid PET/MRI for distinguishing between Parkinson's disease and multiple system atrophy.

Authors:  Xuehan Hu; Xun Sun; Fan Hu; Fang Liu; Weiwei Ruan; Tingfan Wu; Rui An; Xiaoli Lan
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-04-07       Impact factor: 9.236

9.  Performance study of a radio-frequency field-penetrable PET insert for simultaneous PET/MRI.

Authors:  Chen-Ming Chang; Brian J Lee; Alexander M Grant; Andrew N Groll; Craig S Levin
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2018-07-03

Review 10.  [PET/MRI].

Authors:  Bettina Beuthien-Baumann
Journal:  Radiologe       Date:  2018-03       Impact factor: 0.635

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