Literature DB >> 26045347

An evidence-based algorithm for the utility of FDG-PET for diagnosing Alzheimer's disease according to presence of medial temporal lobe atrophy.

Michael J Firbank1, Jim Lloyd2, David Williams2, Robert Barber2, Sean J Colloby2, Nicky Barnett2, Kirsty Olsen2, Christopher Davison2, Cam Donaldson2, Karl Herholz2, John T O'Brien2.   

Abstract

BACKGROUND: Imaging biomarkers for Alzheimer's disease include medial temporal lobe atrophy (MTLA) depicted on computed tomography (CT) or magnetic resonance imaging (MRI) and patterns of reduced metabolism on fluorodeoxyglucose positron emission tomography (FDG-PET). AIMS: To investigate whether MTLA on head CT predicts the diagnostic usefulness of an additional FDG-PET scan.
METHOD: Participants had a clinical diagnosis of Alzheimer's disease (n = 37) or dementia with Lewy bodies (DLB; n = 30) or were similarly aged controls (n = 30). We visually rated MTLA on coronally reconstructed CT scans and, separately and blind to CT ratings, abnormal appearances on FDG-PET scans.
RESULTS: Using a pre-defined cut-off of MTLA ⩾5 on the Scheltens (0-8) scale, 0/30 controls, 6/30 DLB and 23/30 Alzheimer's disease had marked MTLA. FDG-PET performed well for diagnosing Alzheimer's disease v DLB in the low-MTLA group (sensitivity/specificity of 71%/79%), but in the high-MTLA group diagnostic performance of FDG-PET was not better than chance.
CONCLUSIONS: In the presence of a high degree of MTLA, the most likely diagnosis is Alzheimer's disease, and an FDG-PET scan will probably not provide significant diagnostic information. However, in cases without MTLA, if the diagnosis is unclear, an FDG-PET scan may provide additional clinically useful diagnostic information. © The Royal College of Psychiatrists 2015.

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Year:  2015        PMID: 26045347     DOI: 10.1192/bjp.bp.114.160804

Source DB:  PubMed          Journal:  Br J Psychiatry        ISSN: 0007-1250            Impact factor:   9.319


  6 in total

Review 1.  Clinical utility of FDG-PET for the differential diagnosis among the main forms of dementia.

Authors:  Peter J Nestor; Daniele Altomare; Cristina Festari; Alexander Drzezga; Jasmine Rivolta; Zuzana Walker; Femke Bouwman; Stefania Orini; Ian Law; Federica Agosta; Javier Arbizu; Marina Boccardi; Flavio Nobili; Giovanni Battista Frisoni
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-05-07       Impact factor: 9.236

2.  Early-onset dementia in a middle-aged female: a case reflecting the compromise between pragmatic treatment of mimickers and extensive diagnostics.

Authors:  Yann Vivier; Tobi Van den Bossche; Caroline Loos
Journal:  Acta Neurol Belg       Date:  2022-10-17       Impact factor: 2.471

Review 3.  Molecular and cellular pathophysiology of preclinical Alzheimer's disease.

Authors:  Elliott J Mufson; Milos D Ikonomovic; Scott E Counts; Sylvia E Perez; Michael Malek-Ahmadi; Stephen W Scheff; Stephen D Ginsberg
Journal:  Behav Brain Res       Date:  2016-05-13       Impact factor: 3.332

Review 4.  Differentiating dementia with Lewy bodies from Alzheimer's disease and Parkinson's disease dementia: an update on imaging modalities.

Authors:  Rotem Iris Orad; Tamara Shiner
Journal:  J Neurol       Date:  2021-01-29       Impact factor: 4.849

5.  Decreased Complexity in Alzheimer's Disease: Resting-State fMRI Evidence of Brain Entropy Mapping.

Authors:  Bin Wang; Yan Niu; Liwen Miao; Rui Cao; Pengfei Yan; Hao Guo; Dandan Li; Yuxiang Guo; Tianyi Yan; Jinglong Wu; Jie Xiang; Hui Zhang
Journal:  Front Aging Neurosci       Date:  2017-11-20       Impact factor: 5.750

6.  Brain glucose metabolism in Lewy body dementia: implications for diagnostic criteria.

Authors:  Silvia Paola Caminiti; Arianna Sala; Leonardo Iaccarino; Luca Beretta; Andrea Pilotto; Luigi Gianolli; Sandro Iannaccone; Giuseppe Magnani; Alessandro Padovani; Luigi Ferini-Strambi; Daniela Perani
Journal:  Alzheimers Res Ther       Date:  2019-02-23       Impact factor: 6.982

  6 in total

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