Literature DB >> 27019077

Estimating Brain Lesion Volume Change in Multiple Sclerosis by Subtraction of Magnetic Resonance Images.

Mark A Horsfield1, Maria A Rocca2, Elisabetta Pagani2, Loredana Storelli2, Paolo Preziosa2, Roberta Messina2, Fabiano Camesasca2, Massimiliano Copetti3, Massimo Filippi2.   

Abstract

BACKGROUND: Change in lesion volume over time, measured on brain magnetic resonance imaging (MRI) scans, is an important outcome measure for natural history studies and clinical trials in multiple sclerosis (MS).
PURPOSE: To develop and test image analysis methods for quantification of lesion volume change in order to improve reliability.
METHODS: The technique is based on registration and subtraction, and was evaluated in a cohort of 20 MS patients with dual-echo images acquired annually over a period of four years. The study protocol was approved by the local ethics review boards of participating centers, and all subjects gave written informed consent. The repeatability was compared to that obtained by the standard method for obtaining lesion volume change by evaluating the total volume at each time point, and then subtracting the volumes to obtain the difference.
RESULTS: Compared to the standard method, the subtraction method had improved intrarater correlation (0.95 and 0.72 for the subtraction method and the standard method, respectively) and interrater correlation (0.51 and 0.28, respectively). Furthermore, the mean time required to analyze the scans from one patient was 41 minutes for the subtraction method compared to 125 minutes for the standard method.
CONCLUSION: Use of the subtraction algorithm leads to improved reliability and lower operator fatigue in clinical trials and studies of the natural history of MS.
Copyright © 2016 by the American Society of Neuroimaging.

Entities:  

Keywords:  Lesion volume; MRI; longitudinal; multiple sclerosis

Mesh:

Year:  2016        PMID: 27019077     DOI: 10.1111/jon.12344

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  3 in total

1.  Improved Detection of New MS Lesions during Follow-Up Using an Automated MR Coregistration-Fusion Method.

Authors:  A Galletto Pregliasco; A Collin; A Guéguen; M A Metten; J Aboab; R Deschamps; O Gout; L Duron; J C Sadik; J Savatovsky; A Lecler
Journal:  AJNR Am J Neuroradiol       Date:  2018-06-07       Impact factor: 3.825

2.  Detection of Focal Longitudinal Changes in the Brain by Subtraction of MR Images.

Authors:  N Patel; M A Horsfield; C Banahan; A G Thomas; M Nath; J Nath; P B Ambrosi; E M L Chung
Journal:  AJNR Am J Neuroradiol       Date:  2017-03-31       Impact factor: 3.825

3.  T1w dark blood imaging improves detection of contrast enhancing lesions in multiple sclerosis.

Authors:  Christian Thaler; Tanja Schneider; Jan Sedlacik; Daniel Kutzner; Jan-Patrick Stellmann; Christoph Heesen; Jens Fiehler; Susanne Siemonsen
Journal:  PLoS One       Date:  2017-08-10       Impact factor: 3.240

  3 in total

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