Literature DB >> 27334943

FDG PET/MR Imaging in Major Neurocognitive Disorders.

Ismini C Mainta, Daniela Perani, Benedicte M A Delattre, Frederic Assal, Sven Haller, Maria I Vargas, Dina S Zekry, Giovanni B Frisoni, Habib Zaidi, Osman Ratib, Valentina Garibotto1.   

Abstract

PET/MRI tomographs represent the latest development in hybrid molecular imaging, opening new perspectives for clinical and research applications and attracting a large interest among the medical community. This new hybrid modality is expected to play a pivotal role in a number of clinical applications and among these the assessment of neurodegenerative disorders. PET and MRI, acquired separately, are already the imaging biomarkers of choice for a comprehensive assessment of the changes occurring in dementias (major cognitive disorders) as well as in their prodromal phase. In this paper we review the current evidence on the use of integrated PET/MRI scanners to investigate patients with neurodegenerative conditions, and in particular major neurocognitive disorders. The number of studies performed is still limited and shows that the use of PET/MRI gives results overall comparable to PET/CT and MRI acquired independently. We also address the challenges for quantitative aspects in PET/MRI, namely attenuation, partial volume and motion correction and the use of semi-quantitative approaches for FDG PET image analysis in this framework. The recent development of PET tracers for the in vivo differential diagnosis of dementias, able to visualize amyloid and tau deposits, suggests that in the future PET/MRI might represent the investigation of choice for a single session evaluation of morphological, functional and molecular markers.

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Year:  2017        PMID: 27334943     DOI: 10.2174/1567205013666160620115130

Source DB:  PubMed          Journal:  Curr Alzheimer Res        ISSN: 1567-2050            Impact factor:   3.498


  6 in total

1.  Functional impact of subthalamotomy by magnetic resonance-guided focused ultrasound in Parkinson's disease: a hybrid PET/MR study of resting-state brain metabolism.

Authors:  Rafael Rodriguez-Rojas; Jose A Pineda-Pardo; Raul Martinez-Fernandez; Rosalie V Kogan; Carlos A Sanchez-Catasus; Marta Del Alamo; Frida Hernández; Lina García-Cañamaque; Klaus L Leenders; Jose A Obeso
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-11-08       Impact factor: 9.236

2.  Maximizing the use of batch production of 18F-FDOPA for imaging of brain tumors to increase availability of hybrid PET/MR imaging in clinical setting.

Authors:  Mariam Aboian; Ramon Barajas; Julia Shatalov; Vahid Ravanfar; Emma Bahroos; Elizabeth Tong; Jennie W Taylor; N Oberheim Bush; Patricia Sneed; Youngho Seo; Soonmee Cha; Miguel Hernandez-Pampaloni
Journal:  Neurooncol Pract       Date:  2020-10-14

3.  The impact of atlas-based MR attenuation correction on the diagnosis of FDG-PET/MR for Alzheimer's diseases- A simulation study combining multi-center data and ADNI-data.

Authors:  Tetsuro Sekine; Alfred Buck; Gaspar Delso; Bradley Kemp; Edwin E G W Ter Voert; Martin Huellner; Patrick Veit-Haibach; Sandeep Kaushik; Florian Wiesinger; Geoffrey Warnock
Journal:  PLoS One       Date:  2020-06-03       Impact factor: 3.240

4.  Dementia and Major Neurocognitive Disorders: Some Lessons Learned One Century after the first Alois Alzheimer's Clinical Notes.

Authors:  Donatella Rita Petretto; Gian Pietro Carrogu; Luca Gaviano; Lorenzo Pili; Roberto Pili
Journal:  Geriatrics (Basel)       Date:  2021-01-11

5.  Zero Echo Time MRAC on FDG-PET/MR Maintains Diagnostic Accuracy for Alzheimer's Disease; A Simulation Study Combining ADNI-Data.

Authors:  Takahiro Ando; Bradley Kemp; Geoffrey Warnock; Tetsuro Sekine; Sandeep Kaushik; Florian Wiesinger; Gaspar Delso
Journal:  Front Neurosci       Date:  2020-11-26       Impact factor: 4.677

6.  Diagnostic Utility of Integrated11C-Pittsburgh Compound B Positron Emission Tomography/Magnetic Resonance for Cerebral Amyloid Angiopathy: A Pilot Study.

Authors:  Yan Chang; Jiajin Liu; Liang Wang; Xin Li; Zhenjun Wang; Mu Lin; Wei Jin; Mingwei Zhu; Baixuan Xu
Journal:  Front Aging Neurosci       Date:  2021-11-25       Impact factor: 5.750

  6 in total

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