Literature DB >> 29519791

Fast and Robust Unsupervised Identification of MS Lesion Change Using the Statistical Detection of Changes Algorithm.

T D Nguyen1, S Zhang2, A Gupta2,3, Y Zhao4, S A Gauthier3,5, Y Wang2.   

Abstract

We developed a robust automated algorithm called statistical detection of changes for detecting morphologic changes of multiple sclerosis lesions between 2 T2-weighted FLAIR brain images. Results from 30 patients showed that statistical detection of changes achieved significantly higher sensitivity and specificity (0.964, 95% CI, 0.823-0.994; 0.691, 95% CI, 0.612-0.761) than with the lesion-prediction algorithm (0.614, 95% CI, 0.410-0.784; 0.281, 95% CI, 0.228-0.314), while resulting in a 49% reduction in human review time (P = .007).
© 2018 by American Journal of Neuroradiology.

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Mesh：

Year:  2018        PMID： 29519791      PMCID： PMC5955764          DOI： 10.3174/ajnr.A5594

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN： 0195-6108            Impact factor:   3.825


  6 in total

Review 1.  Evidence-based guidelines: MAGNIMS consensus guidelines on the use of MRI in multiple sclerosis--establishing disease prognosis and monitoring patients.

Authors:  Mike P Wattjes; Àlex Rovira; David Miller; Tarek A Yousry; Maria P Sormani; Maria P de Stefano; Mar Tintoré; Cristina Auger; Carmen Tur; Massimo Filippi; Maria A Rocca; Franz Fazekas; Ludwig Kappos; Chris Polman
Journal:  Nat Rev Neurol       Date:  2015-09-15       Impact factor: 42.937

2.  Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.

Authors:  Aaron Carass; Snehashis Roy; Amod Jog; Jennifer L Cuzzocreo; Elizabeth Magrath; Adrian Gherman; Julia Button; James Nguyen; Ferran Prados; Carole H Sudre; Manuel Jorge Cardoso; Niamh Cawley; Olga Ciccarelli; Claudia A M Wheeler-Kingshott; Sébastien Ourselin; Laurence Catanese; Hrishikesh Deshpande; Pierre Maurel; Olivier Commowick; Christian Barillot; Xavier Tomas-Fernandez; Simon K Warfield; Suthirth Vaidya; Abhijith Chunduru; Ramanathan Muthuganapathy; Ganapathy Krishnamurthi; Andrew Jesson; Tal Arbel; Oskar Maier; Heinz Handels; Leonardo O Iheme; Devrim Unay; Saurabh Jain; Diana M Sima; Dirk Smeets; Mohsen Ghafoorian; Bram Platel; Ariel Birenbaum; Hayit Greenspan; Pierre-Louis Bazin; Peter A Calabresi; Ciprian M Crainiceanu; Lotta M Ellingsen; Daniel S Reich; Jerry L Prince; Dzung L Pham
Journal:  Neuroimage       Date:  2017-01-11       Impact factor: 6.556

3.  Improving Multiple Sclerosis Plaque Detection Using a Semiautomated Assistive Approach.

Authors:  J van Heerden; D Rawlinson; A M Zhang; R Chakravorty; M A Tacey; P M Desmond; F Gaillard
Journal:  AJNR Am J Neuroradiol       Date:  2015-06-18       Impact factor: 3.825

Review 4.  FSL.

Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
Journal:  Neuroimage       Date:  2011-09-16       Impact factor: 6.556

5.  Automated identification of brain new lesions in multiple sclerosis using subtraction images.

Authors:  Marco Battaglini; Francesca Rossi; Richard A Grove; Maria Laura Stromillo; Brandon Whitcher; Paul M Matthews; Nicola De Stefano
Journal:  J Magn Reson Imaging       Date:  2014-06       Impact factor: 4.813

Review 6.  MRI criteria for the diagnosis of multiple sclerosis: MAGNIMS consensus guidelines.

Authors:  Massimo Filippi; Maria A Rocca; Olga Ciccarelli; Nicola De Stefano; Nikos Evangelou; Ludwig Kappos; Alex Rovira; Jaume Sastre-Garriga; Mar Tintorè; Jette L Frederiksen; Claudio Gasperini; Jacqueline Palace; Daniel S Reich; Brenda Banwell; Xavier Montalban; Frederik Barkhof
Journal:  Lancet Neurol       Date:  2016-01-26       Impact factor: 44.182
  6 in total
  1 in total

1.  Impact of Lesion Location on Longitudinal Myelin Water Fraction Change in Chronic Multiple Sclerosis Lesions.

Authors:  Sneha Pandya; Ulrike W Kaunzner; Sandra M Hurtado Rúa; Nancy Nealon; Jai Perumal; Timothy Vartanian; Thanh D Nguyen; Susan A Gauthier
Journal:  J Neuroimaging       Date:  2020-06-24       Impact factor: 2.486
  1 in total

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