Literature DB >> 30422768

Signs and Artifacts in Amyloid PET.

Tamara F Lundeen1, John P Seibyl1, Matthew F Covington1, Naghmehossadat Eshghi1, Phillip H Kuo1.   

Abstract

Establishing a diagnosis of Alzheimer dementia can be challenging, particularly early in the course of the disease. However, with disease-modifying therapies on the horizon, it is becoming increasingly important to achieve the correct diagnosis as soon as possible. In challenging presentations of dementia, such as patients with clinically atypical features or early-age onset of mild cognitive impairment, amyloid PET is a valuable tool in determining the diagnosis of Alzheimer dementia. Furthermore, preliminary data show that amyloid PET findings alter clinical management in patients who meet the appropriate use criteria. There are currently three U.S. Food and Drug Administration (FDA)-approved fluorine 18 (18F)-labeled radiopharmaceuticals that allow in vivo detection of cerebral amyloid deposition, which is a hallmark pathologic feature of Alzheimer dementia. Knowledge of the common imaging features among these three 18F-labeled radiopharmaceuticals in the normal and abnormal brain will enable the radiologist to more accurately interpret amyloid PET studies. As in other subspecialties of radiology, imaging signs in amyloid PET are helpful to distinguish if a region is normal or abnormal. This article reviews appropriate use criteria for amyloid PET, introduces the properties of the radiopharmaceuticals, explains the algorithmic approach to interpretation with examples of normal and abnormal amyloid PET scans with MRI correlation, and provides an atlas of regional amyloid PET signs and common artifacts. ©RSNA, 2018.

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Year:  2018        PMID: 30422768     DOI: 10.1148/rg.2018180160

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  8 in total

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Review 2.  Multimodality Imaging in Primary Progressive Aphasia.

Authors:  M Roytman; G C Chiang; M L Gordon; A M Franceschi
Journal:  AJNR Am J Neuroradiol       Date:  2022-08-25       Impact factor: 4.966

3.  Comparison of Three Automated Approaches for Classification of Amyloid-PET Images.

Authors:  Ying-Hwey Nai; Yee-Hsin Tay; Tomotaka Tanaka; Christopher P Chen; Edward G Robins; Anthonin Reilhac
Journal:  Neuroinformatics       Date:  2022-05-27

4.  Impact of amyloid-PET in daily clinical management of patients with cognitive impairment fulfilling appropriate use criteria.

Authors:  Eva María Triviño-Ibáñez; Raquel Sánchez-Vañó; Pablo Sopena-Novales; Juan Carlos Romero-Fábrega; Antonio Rodríguez-Fernández; Cristóbal Carnero Pardo; María Dolores Martínez Lozano; Manuel Gómez-Río
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

5.  Non-linear Character of Plasma Amyloid Beta Over the Course of Cognitive Decline in Alzheimer's Continuum.

Authors:  Feng-Feng Pan; Qi Huang; Ying Wang; Yi-Fan Wang; Yi-Hui Guan; Fang Xie; Qi-Hao Guo
Journal:  Front Aging Neurosci       Date:  2022-03-23       Impact factor: 5.750

Review 6.  Dissecting the clinical heterogeneity of early-onset Alzheimer's disease.

Authors:  Daniel W Sirkis; Luke W Bonham; Taylor P Johnson; Renaud La Joie; Jennifer S Yokoyama
Journal:  Mol Psychiatry       Date:  2022-04-07       Impact factor: 13.437

7.  Visual assessment of [18F]flutemetamol PET images can detect early amyloid pathology and grade its extent.

Authors:  Lyduine E Collij; Gemma Salvadó; Mahnaz Shekari; Isadora Lopes Alves; Juhan Reimand; Alle Meije Wink; Marissa Zwan; Aida Niñerola-Baizán; Andrés Perissinotti; Philip Scheltens; Milos D Ikonomovic; Adrian P L Smith; Gill Farrar; José Luis Molinuevo; Frederik Barkhof; Christopher J Buckley; Bart N M van Berckel; Juan Domingo Gispert
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-02-22       Impact factor: 9.236

8.  Development of Amyloid PET Analysis Pipeline Using Deep Learning-Based Brain MRI Segmentation-A Comparative Validation Study.

Authors:  Jiyeon Lee; Seunggyun Ha; Regina E Y Kim; Minho Lee; Donghyeon Kim; Hyun Kook Lim
Journal:  Diagnostics (Basel)       Date:  2022-03-02
  8 in total

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