Literature DB >> 23255412

Clinical use of brain volumetry.

Antonio Giorgio1, Nicola De Stefano.   

Abstract

Magnetic resonance imaging (MRI)-based brain volumetry is increasingly being used in the clinical setting to assess brain volume changes from structural MR images in a range of neurologic conditions. Measures of brain volumes have been shown to be valid biomarkers of the clinical state and progression by offering high reliability and robust inferences on the underlying disease-related mechanisms. This review critically examines the different scenarios of the application of MRI-based brain volumetry in neurology: 1) supporting disease diagnosis, 2) understanding mechanisms and tracking clinical progression of disease, and 3) monitoring treatment effect. These aspects will be discussed in a wide range of neurologic conditions, with particular emphasis on Alzheimer's disease and multiple sclerosis.
Copyright © 2012 Wiley-Liss, Inc.

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Year:  2013        PMID: 23255412     DOI: 10.1002/jmri.23671

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  30 in total

1.  Brain MRI abnormalities in the adult form of myotonic dystrophy type 1: A longitudinal case series study.

Authors:  Renata Conforti; Mario de Cristofaro; Adriana Cristofano; Barbara Brogna; Angela Sardaro; Gioacchino Tedeschi; Sossio Cirillo; Alfonso Di Costanzo
Journal:  Neuroradiol J       Date:  2016-01-11

2.  Automatic brain segmentation using fractional signal modeling of a multiple flip angle, spoiled gradient-recalled echo acquisition.

Authors:  André Ahlgren; Ronnie Wirestam; Freddy Ståhlberg; Linda Knutsson
Journal:  MAGMA       Date:  2014-03-18       Impact factor: 2.310

3.  A Method to Estimate Brain Volume from Head CT Images and Application to Detect Brain Atrophy in Alzheimer Disease.

Authors:  V Adduru; S A Baum; C Zhang; M Helguera; R Zand; M Lichtenstein; C J Griessenauer; A M Michael
Journal:  AJNR Am J Neuroradiol       Date:  2020-01-30       Impact factor: 3.825

4.  Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics.

Authors:  Markus Wenzel; Fausto Milletari; Julia Krüger; Catharina Lange; Michael Schenk; Ivayla Apostolova; Susanne Klutmann; Marcus Ehrenburg; Ralph Buchert
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-08-31       Impact factor: 9.236

5.  SIENA-XL for improving the assessment of gray and white matter volume changes on brain MRI.

Authors:  Marco Battaglini; Mark Jenkinson; Nicola De Stefano
Journal:  Hum Brain Mapp       Date:  2017-12-08       Impact factor: 5.038

6.  Autoimmune comorbidities in multiple sclerosis: what is the influence on brain volumes? A case-control MRI study.

Authors:  Lorena Lorefice; Giuseppe Fenu; Roberta Pitzalis; Giulia Scalas; Jessica Frau; Giancarlo Coghe; Luigina Musu; Vincenzo Sechi; Maria Antonietta Barracciu; Maria Giovanna Marrosu; Eleonora Cocco
Journal:  J Neurol       Date:  2018-03-05       Impact factor: 4.849

7.  3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse.

Authors:  Rebecca L Acabchuk; Ye Sun; Richard Wolferz; Matthew B Eastman; Jessica B Lennington; Brett A Shook; Qian Wu; Joanne C Conover
Journal:  J Vis Exp       Date:  2015-05-19       Impact factor: 1.355

8.  Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets.

Authors:  Reuben Dorent; Thomas Booth; Wenqi Li; Carole H Sudre; Sina Kafiabadi; Jorge Cardoso; Sebastien Ourselin; Tom Vercauteren
Journal:  Med Image Anal       Date:  2020-10-09       Impact factor: 8.545

9.  'Timed up and go' and brain atrophy: a preliminary MRI study to assess functional mobility performance in multiple sclerosis.

Authors:  Lorena Lorefice; G Coghe; G Fenu; M Porta; G Pilloni; J Frau; F Corona; V Sechi; M A Barracciu; M G Marrosu; M Pau; E Cocco
Journal:  J Neurol       Date:  2017-09-11       Impact factor: 4.849

Review 10.  Systematic Review of Different Neuroimaging Correlates in Mild Cognitive Impairment and Alzheimer's Disease.

Authors:  Puneet Talwar; Suman Kushwaha; Monali Chaturvedi; Vidur Mahajan
Journal:  Clin Neuroradiol       Date:  2021-07-23       Impact factor: 3.649

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