Literature DB >> 24615479

Value of 18fluorodeoxyglucose-positron-emission tomography in amyotrophic lateral sclerosis: a prospective study.

Koen Van Laere1, Annelies Vanhee2, Jolien Verschueren3, Liesbeth De Coster3, An Driesen2, Patrick Dupont2, Wim Robberecht4, Philip Van Damme4.   

Abstract

IMPORTANCE: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder primarily affecting the motor system, with extramotor involvement to a variable extent. Biomarkers for early differential diagnosis and prognosis are needed. An autosomal dominant hexanucleotide (GGGGCC) expansion in the noncoding region of the chromosome 9 open reading frame 72 (C9orf72) gene is the most frequent genetic cause of ALS, but its metabolic pattern has not been studied systematically.
OBJECTIVES: To evaluate the use of 18fluorodeoxyglucose-positron-emission tomography as a marker of ALS pathology and investigate whether a specific metabolic signature is present in patients with C9orf72 mutations. DESIGN, SETTING, AND PARTICIPANTS: In total, 81 patients with a suspected diagnosis of ALS at University Hospital Leuven were prospectively investigated. All underwent detailed neurological examination and electrodiagnostic and genetic testing for the major known genetic causes of ALS (C9orf72, SOD1, TARDBP, and FUS). A diagnosis of ALS was made in 70 of 81 patients. Of these, 11 were C9orf72 positive and 59 were C9orf72 negative. In 7 patients, the diagnosis of primary lateral sclerosis was made; 4 patients had progressive muscular atrophy. A screened healthy control population was used for comparison. MAIN OUTCOMES AND MEASURES: Positron-emission tomographic data were spatially normalized and analyzed using a predefined volume of interest and a voxel-based analysis (SPM8). Discriminant analysis was done both volume of interest based and voxel based using a support vector machine approach.
RESULTS: Compared with control participants, 18fluorodeoxyglucose-positron-emission tomography showed perirolandic and variable prefrontal hypometabolism in most patients. Patients with primary lateral sclerosis showed a similar pattern. Patients with C9orf72-positive ALS had discrete relative hypometabolism in the thalamus and posterior cingulate compared with those with C9orf72-negative ALS. A posteriori-corrected discriminant analysis was able to correctly classify 95% of ALS cases and 71% of primary lateral sclerosis cases. Prefrontal hypometabolism was associated with reduced clinical functioning (ALS Functional Rating Scale). Extensive hypometabolism in the prefrontal or anterior temporal areas was present in 10% of patients and associated with significantly shorter survival as an independent factor (n = 63, P < .001). Patients who were C9orf72 positive did not differ in survival compared with those who were C9orf72 negative. CONCLUSIONS AND RELEVANCE: 18Fluorodeoxyglucose-positron-emission tomography is a useful early diagnostic and prognostic marker for ALS. Amyotrophic lateral sclerosis that is positive for C9orf72 is characterized by only mild cerebral metabolic differences that show no prognostic difference.

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Year:  2014        PMID: 24615479     DOI: 10.1001/jamaneurol.2014.62

Source DB:  PubMed          Journal:  JAMA Neurol        ISSN: 2168-6149            Impact factor:   18.302


  43 in total

1.  Presymptomatic activation of the PDGF-CC pathway accelerates onset of ALS neurodegeneration.

Authors:  Sebastian A Lewandowski; Ingrid Nilsson; Linda Fredriksson; Peter Lönnerberg; Lars Muhl; Manuel Zeitelhofer; Milena Z Adzemovic; Susanne Nichterwitz; Daniel A Lawrence; Eva Hedlund; Ulf Eriksson
Journal:  Acta Neuropathol       Date:  2015-12-19       Impact factor: 17.088

Review 2.  The imaging signature of C9orf72 hexanucleotide repeat expansions: implications for clinical trials and therapy development.

Authors:  Stacey Li Hi Shing; Mary Clare McKenna; We Fong Siah; Rangariroyashe H Chipika; Orla Hardiman; Peter Bede
Journal:  Brain Imaging Behav       Date:  2021-01-05       Impact factor: 3.978

Review 3.  Positron emission tomography in amyotrophic lateral sclerosis: Towards targeting of molecular pathological hallmarks.

Authors:  Stefanie M A Willekens; Donatienne Van Weehaeghe; Philip Van Damme; Koen Van Laere
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-12-08       Impact factor: 9.236

Review 4.  Neuroimaging in genetic frontotemporal dementia and amyotrophic lateral sclerosis.

Authors:  Suvi Häkkinen; Stephanie A Chu; Suzee E Lee
Journal:  Neurobiol Dis       Date:  2020-09-02       Impact factor: 5.996

5.  Combined brain and spinal FDG PET allows differentiation between ALS and ALS mimics.

Authors:  Donatienne Van Weehaeghe; Martijn Devrome; Michel Koole; Koen Van Laere; Georg Schramm; Joke De Vocht; Wies Deckers; Kristof Baete; Philip Van Damme
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-04-20       Impact factor: 9.236

6.  Testing the diagnostic accuracy of [18F]FDG-PET in discriminating spinal- and bulbar-onset amyotrophic lateral sclerosis.

Authors:  Arianna Sala; Leonardo Iaccarino; Piercarlo Fania; Emilia G Vanoli; Federico Fallanca; Caterina Pagnini; Chiara Cerami; Andrea Calvo; Antonio Canosa; Marco Pagani; Adriano Chiò; Angelina Cistaro; Daniela Perani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-01-07       Impact factor: 9.236

Review 7.  Motor neuron disease in 2014. Biomarkers for ALS--in search of the Promised Land.

Authors:  Adriano Chiò; Bryan J Traynor
Journal:  Nat Rev Neurol       Date:  2014-12-23       Impact factor: 42.937

Review 8.  Neuroimaging as a New Diagnostic Modality in Amyotrophic Lateral Sclerosis.

Authors:  Esther Verstraete; Bradley R Foerster
Journal:  Neurotherapeutics       Date:  2015-04       Impact factor: 7.620

Review 9.  ALS biomarkers for therapy development: State of the field and future directions.

Authors:  Michael Benatar; Kevin Boylan; Andreas Jeromin; Seward B Rutkove; James Berry; Nazem Atassi; Lucie Bruijn
Journal:  Muscle Nerve       Date:  2015-12-29       Impact factor: 3.217

10.  Metabolic spatial connectivity in amyotrophic lateral sclerosis as revealed by independent component analysis.

Authors:  Marco Pagani; Johanna Öberg; Fabrizio De Carli; Andrea Calvo; Cristina Moglia; Antonio Canosa; Flavio Nobili; Silvia Morbelli; Piercarlo Fania; Angelina Cistaro; Adriano Chiò
Journal:  Hum Brain Mapp       Date:  2015-12-24       Impact factor: 5.038

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