Literature DB >> 32299803

Synthetic MRI of Preterm Infants at Term-Equivalent Age: Evaluation of Diagnostic Image Quality and Automated Brain Volume Segmentation.

T Vanderhasselt1, M Naeyaert2, N Watté2, G-J Allemeersch2, S Raeymaeckers2, J Dudink3,4, J de Mey2, H Raeymaekers2.   

Abstract

BACKGROUND AND
PURPOSE: Neonatal MR imaging brain volume measurements can be used as biomarkers for long-term neurodevelopmental outcome, but quantitative volumetric MR imaging data are not usually available during routine radiologic evaluation. In the current study, the feasibility of automated quantitative brain volumetry and image reconstruction via synthetic MR imaging in very preterm infants was investigated.
MATERIALS AND METHODS: Conventional and synthetic T1WIs and T2WIs from 111 very preterm infants were acquired at term-equivalent age. Overall image quality and artifacts of the conventional and synthetic images were rated on a 4-point scale. Legibility of anatomic structures and lesion conspicuity were assessed on a binary scale. Synthetic MR volumetry was compared with that generated via MANTiS, which is a neonatal tissue segmentation toolbox based on T2WI.
RESULTS: Image quality was good or excellent for most conventional and synthetic images. The 2 methods did not differ significantly regarding image quality or diagnostic performance for focal and cystic WM lesions. Dice similarity coefficients had excellent overlap for intracranial volume (97.3%) and brain parenchymal volume (94.3%), and moderate overlap for CSF (75.6%). Bland-Altman plots demonstrated a small systematic bias in all cases (1.7%-5.9%)
CONCLUSIONS: Synthetic T1WI and T2WI sequences may complement or replace conventional images in neonatal imaging, and robust synthetic volumetric results are accessible from a clinical workstation in less than 1 minute. Via the above-described methods, volume assessments could be routinely used in daily clinical practice.
© 2020 by American Journal of Neuroradiology.

Entities:  

Mesh:

Year:  2020        PMID: 32299803      PMCID: PMC7228170          DOI: 10.3174/ajnr.A6533

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


  23 in total

1.  Rapid magnetic resonance quantification on the brain: Optimization for clinical usage.

Authors:  J B M Warntjes; O Dahlqvist Leinhard; J West; P Lundberg
Journal:  Magn Reson Med       Date:  2008-08       Impact factor: 4.668

2.  Evaluation of automatic neonatal brain segmentation algorithms: the NeoBrainS12 challenge.

Authors:  Ivana Išgum; Manon J N L Benders; Brian Avants; M Jorge Cardoso; Serena J Counsell; Elda Fischi Gomez; Laura Gui; Petra S Hűppi; Karina J Kersbergen; Antonios Makropoulos; Andrew Melbourne; Pim Moeskops; Christian P Mol; Maria Kuklisova-Murgasova; Daniel Rueckert; Julia A Schnabel; Vedran Srhoj-Egekher; Jue Wu; Siying Wang; Linda S de Vries; Max A Viergever
Journal:  Med Image Anal       Date:  2014-11-15       Impact factor: 8.545

3.  Image quality at synthetic brain magnetic resonance imaging in children.

Authors:  So Mi Lee; Young Hun Choi; Jung-Eun Cheon; In-One Kim; Seung Hyun Cho; Won Hwa Kim; Hye Jung Kim; Hyun-Hae Cho; Sun-Kyoung You; Sook-Hyun Park; Moon Jung Hwang
Journal:  Pediatr Radiol       Date:  2017-06-22

4.  Neonatal MRI to predict neurodevelopmental outcomes in preterm infants.

Authors:  Lianne J Woodward; Peter J Anderson; Nicola C Austin; Kelly Howard; Terrie E Inder
Journal:  N Engl J Med       Date:  2006-08-17       Impact factor: 91.245

5.  MRI at term equivalent age for predicting long-term neurodevelopmental outcome in preterm infants - a cohort study.

Authors:  Umamaheswari Balakrishnan; Prakash Amboiram; Binu Ninan; Anupama Chandrasekharan; Rajeswaran Rangaswamy; Lalitha Subramanian
Journal:  J Matern Fetal Neonatal Med       Date:  2018-12-20

6.  Clinical Feasibility of Synthetic MRI in Multiple Sclerosis: A Diagnostic and Volumetric Validation Study.

Authors:  T Granberg; M Uppman; F Hashim; C Cananau; L E Nordin; S Shams; J Berglund; Y Forslin; P Aspelin; S Fredrikson; M Kristoffersen-Wiberg
Journal:  AJNR Am J Neuroradiol       Date:  2016-01-21       Impact factor: 3.825

Review 7.  Optimal timing of cerebral MRI in preterm infants to predict long-term neurodevelopmental outcome: a systematic review.

Authors:  A Plaisier; P Govaert; M H Lequin; J Dudink
Journal:  AJNR Am J Neuroradiol       Date:  2013-05-02       Impact factor: 3.825

8.  Application of quantitative MRI for brain tissue segmentation at 1.5 T and 3.0 T field strengths.

Authors:  Janne West; Ida Blystad; Maria Engström; Jan B M Warntjes; Peter Lundberg
Journal:  PLoS One       Date:  2013-09-16       Impact factor: 3.240

9.  Neonatal Brain Tissue Classification with Morphological Adaptation and Unified Segmentation.

Authors:  Richard J Beare; Jian Chen; Claire E Kelly; Dimitrios Alexopoulos; Christopher D Smyser; Cynthia E Rogers; Wai Y Loh; Lillian G Matthews; Jeanie L Y Cheong; Alicia J Spittle; Peter J Anderson; Lex W Doyle; Terrie E Inder; Marc L Seal; Deanne K Thompson
Journal:  Front Neuroinform       Date:  2016-03-29       Impact factor: 4.081

10.  The Advantage of Synthetic MRI for the Visualization of Early White Matter Change in an Infant with Sturge-Weber Syndrome.

Authors:  Christina Andica; Akifumi Hagiwara; Misaki Nakazawa; Kouhei Tsuruta; Nao Takano; Masaaki Hori; Hiroharu Suzuki; Hidenori Sugano; Hajime Arai; Shigeki Aoki
Journal:  Magn Reson Med Sci       Date:  2016-03-21       Impact factor: 2.471

View more
  2 in total

1.  Pediatric Head CT: Automated Quantitative Analysis with Quantile Regression.

Authors:  K A Cauley; Y Hu; S W Fielden
Journal:  AJNR Am J Neuroradiol       Date:  2020-12-10       Impact factor: 3.825

2.  Impact of Prematurity on the Tissue Properties of the Neonatal Brain Stem: A Quantitative MR Approach.

Authors:  V Schmidbauer; G Dovjak; G Geisl; M Weber; M C Diogo; M S Yildirim; K Goeral; K Klebermass-Schrehof; A Berger; D Prayer; G Kasprian
Journal:  AJNR Am J Neuroradiol       Date:  2021-01-21       Impact factor: 3.825

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.