Literature DB >> 28263741

The impact of automated hippocampal volumetry on diagnostic confidence in patients with suspected Alzheimer's disease: A European Alzheimer's Disease Consortium study.

Paolo Bosco1, Alberto Redolfi1, Martina Bocchetta2, Clarissa Ferrari3, Anna Mega1, Samantha Galluzzi1, Mark Austin4, Andrea Chincarini5, D Louis Collins6, Simon Duchesne7, Bénédicte Maréchal8, Alexis Roche8, Francesco Sensi5, Robin Wolz4, Montserrat Alegret9, Frederic Assal10, Mircea Balasa11, Christine Bastin12, Anastasia Bougea13, Derya Durusu Emek-Savaş14, Sebastiaan Engelborghs15, Timo Grimmer16, Galina Grosu17, Milica G Kramberger18, Brian Lawlor19, Gorana Mandic Stojmenovic20, Mihaela Marinescu21, Patrizia Mecocci22, José Luis Molinuevo11, Ricardo Morais23, Ellis Niemantsverdriet24, Flavio Nobili25, Konstantinos Ntovas26, Sarah O'Dwyer19, George P Paraskevas13, Luca Pelini22, Agnese Picco27, Eric Salmon12, Isabel Santana28, Oscar Sotolongo-Grau9, Luiza Spiru29, Elka Stefanova30, Katarina Surlan Popovic31, Magda Tsolaki26, Görsev G Yener32, Dina Zekry33, Giovanni B Frisoni34.   

Abstract

INTRODUCTION: Hippocampal volume is a core biomarker of Alzheimer's disease (AD). However, its contribution over the standard diagnostic workup is unclear.
METHODS: Three hundred fifty-six patients, under clinical evaluation for cognitive impairment, with suspected AD and Mini-Mental State Examination ≥20, were recruited across 17 European memory clinics. After the traditional diagnostic workup, diagnostic confidence of AD pathology (DCAD) was estimated by the physicians in charge. The latter were provided with the results of automated hippocampal volumetry in standardized format and DCAD was reassessed.
RESULTS: An increment of one interquartile range in hippocampal volume was associated with a mean change of DCAD of -8.0% (95% credible interval: [-11.5, -5.0]). Automated hippocampal volumetry showed a statistically significant impact on DCAD beyond the contributions of neuropsychology, 18F-fluorodeoxyglucose positron emission tomography/single-photon emission computed tomography, and cerebrospinal fluid markers (-8.5, CrI: [-11.5, -5.6]; -14.1, CrI: [-19.3, -8.8]; -10.6, CrI: [-14.6, -6.1], respectively). DISCUSSION: There is a measurable effect of hippocampal volume on DCAD even when used on top of the traditional diagnostic workup.
Copyright © 2017 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Biomarkers; Diagnostic confidence of AD; Hippocampal volume; Medial temporal lobe atrophy

Mesh:

Substances:

Year:  2017        PMID: 28263741     DOI: 10.1016/j.jalz.2017.01.019

Source DB:  PubMed          Journal:  Alzheimers Dement        ISSN: 1552-5260            Impact factor:   21.566


  10 in total

Review 1.  The quantitative neuroradiology initiative framework: application to dementia.

Authors:  Olivia Goodkin; Hugh Pemberton; Sjoerd B Vos; Ferran Prados; Carole H Sudre; James Moggridge; M Jorge Cardoso; Sebastien Ourselin; Sotirios Bisdas; Mark White; Tarek Yousry; John Thornton; Frederik Barkhof
Journal:  Br J Radiol       Date:  2019-08-01       Impact factor: 3.039

2.  The A/T/N model applied through imaging biomarkers in a memory clinic.

Authors:  Alessandra Dodich; Aline Mendes; Frédéric Assal; Christian Chicherio; Barinjaka Rakotomiaramanana; Paulina Andryszak; Cristina Festari; Federica Ribaldi; Max Scheffler; Roger Schibli; Adam J Schwarz; Dina Zekry; Karl-Olof Lövblad; Marina Boccardi; Paul G Unschuld; Gabriel Gold; Giovanni B Frisoni; Valentina Garibotto
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-12-02       Impact factor: 9.236

Review 3.  Alzheimer's disease CSF biomarkers: clinical indications and rational use.

Authors:  Ellis Niemantsverdriet; Sara Valckx; Maria Bjerke; Sebastiaan Engelborghs
Journal:  Acta Neurol Belg       Date:  2017-07-27       Impact factor: 2.396

4.  Classification of Alzheimer's Disease Based on Deep Learning of Brain Structural and Metabolic Data.

Authors:  Huiquan Wang; Tianzi Feng; Zhe Zhao; Xue Bai; Guang Han; Jinhai Wang; Zongrui Dai; Rong Wang; Weibiao Zhao; Fuxin Ren; Fei Gao
Journal:  Front Aging Neurosci       Date:  2022-07-12       Impact factor: 5.702

5.  CT-Detected MTA Score Related to Disability and Behavior in Older People with Cognitive Impairment.

Authors:  Michele Lauriola; Grazia D'Onofrio; Annamaria la Torre; Filomena Ciccone; Carmela Germano; Leandro Cascavilla; Antonio Greco
Journal:  Biomedicines       Date:  2022-06-10

6.  Hippocampal atrophy has limited usefulness as a diagnostic biomarker on the early onset Alzheimer's disease patients: A comparison between visual and quantitative assessment.

Authors:  Neus Falgàs; Raquel Sánchez-Valle; Núria Bargalló; Mircea Balasa; Guadalupe Fernández-Villullas; Beatriz Bosch; Jaume Olives; Adrià Tort-Merino; Anna Antonell; Cristina Muñoz-García; María León; Oriol Grau; Magdalena Castellví; Nina Coll-Padrós; Lorena Rami; Alberto Redolfi; Albert Lladó
Journal:  Neuroimage Clin       Date:  2019-07-05       Impact factor: 4.881

7.  Automated MRI volumetry as a diagnostic tool for Alzheimer's disease: Validation of icobrain dm.

Authors:  Hanne Struyfs; Diana Maria Sima; Melissa Wittens; Annemie Ribbens; Nuno Pedrosa de Barros; Thanh Vân Phan; Maria Ines Ferraz Meyer; Lene Claes; Ellis Niemantsverdriet; Sebastiaan Engelborghs; Wim Van Hecke; Dirk Smeets
Journal:  Neuroimage Clin       Date:  2020-03-12       Impact factor: 4.881

8.  Clinical evaluation of automated quantitative MRI reports for assessment of hippocampal sclerosis.

Authors:  Olivia Goodkin; Hugh G Pemberton; John S Thornton; Tarek A Yousry; Frederik Barkhof; Sjoerd B Vos; Ferran Prados; Ravi K Das; James Moggridge; Bianca De Blasi; Philippa Bartlett; Elaine Williams; Thomas Campion; Lukas Haider; Kirsten Pearce; Nuria Bargallό; Esther Sanchez; Sotirios Bisdas; Mark White; Sebastien Ourselin; Gavin P Winston; John S Duncan; Jorge Cardoso
Journal:  Eur Radiol       Date:  2020-08-04       Impact factor: 5.315

9.  Application of modern neuroimaging technology in the diagnosis and study of Alzheimer's disease.

Authors:  Hong-Mei Zeng; Hua-Bo Han; Qi-Fang Zhang; Hua Bai
Journal:  Neural Regen Res       Date:  2021-01       Impact factor: 5.135

10.  Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population.

Authors:  Silvia De Francesco; Samantha Galluzzi; Nicola Vanacore; Cristina Festari; Paolo Maria Rossini; Stefano F Cappa; Giovanni B Frisoni; Alberto Redolfi
Journal:  Front Neurosci       Date:  2021-06-28       Impact factor: 4.677

  10 in total

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