Literature DB >> 31416081

Magnetic Resonance Fingerprinting to Characterize Childhood and Young Adult Brain Tumors.

Peter de Blank1, Chaitra Badve2, Deborah Rukin Gold3, Duncan Stearns4, Jeffrey Sunshine2, Sara Dastmalchian2, Krystal Tomei5, Andrew E Sloan5,6, Jill S Barnholtz-Sloan7,6, Adam Lane8, Mark Griswold9, Vikas Gulani2, Dan Ma9.   

Abstract

OBJECT: Magnetic resonance fingerprinting (MRF) allows rapid, simultaneous mapping of T1 and T2 relaxation times and may be an important diagnostic tool to measure tissue characteristics in pediatric brain tumors. We examined children and young adults with primary brain tumors to determine whether MRF can discriminate tumor from normal-appearing white matter and distinguish tumor grade.
METHODS: MRF was performed in 23 patients (14 children and 9 young adults) with brain tumors (19 low-grade glioma, 4 high-grade tumors). T1 and T2 values were recorded in regions of solid tumor (ST), peritumoral white matter (PWM), and contralateral white matter (CWM). Nonparametric tests were used for comparison between groups and regions.
RESULTS: Median scan time for MRF and a sequence for tumor localization was 11 min. MRF-derived T1 and T2 values distinguished ST from CWM (T1: 1,444 ± 254 ms vs. 938 ± 96 ms, p = 0.0002; T2: 61 ± 22 ms vs. 38 ± 9 ms, p = 0.0003) and separated high-grade tumors from low-grade tumors (T1: 1,863 ± 70 ms vs. 1,355 ± 187 ms, p = 0.007; T2: 90 ± 13 ms vs. 56 ± 19 ms, p = 0.013). PWM was distinct from CWM (T1: 1,261 ± 359 ms vs. 933 ± 104 ms, p = 0.0008; T2: 65 ± 51 ms vs. 38 ± 8 ms, p = 0.008), as well as from tumor (T1: 1,261 ± 371 ms vs. 1,462 ± 248 ms, p = 0.047).
CONCLUSIONS: MRF is a fast sequence that can rapidly distinguish important tissue components in pediatric brain tumor patients. MRF-derived T1 and T2 distinguished tumor from normal-appearing white matter, differentiated tumor grade, and found abnormalities in peritumoral regions. MRF may be useful for rapid quantitative measurement of tissue characteristics and distinguish tumor grade in children and young adults with brain tumors.
© 2019 S. Karger AG, Basel.

Entities:  

Keywords:  Adolescent and young adult; Brain tumor; Magnetic resonance fingerprinting; Magnetic resonance imaging; Pediatric; Relaxometry

Mesh:

Year:  2019        PMID: 31416081     DOI: 10.1159/000501696

Source DB:  PubMed          Journal:  Pediatr Neurosurg        ISSN: 1016-2291            Impact factor:   1.162


  8 in total

Review 1.  Magnetic resonance fingerprinting: an overview.

Authors:  Charit Tippareddy; Walter Zhao; Jeffrey L Sunshine; Mark Griswold; Dan Ma; Chaitra Badve
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-05-26       Impact factor: 9.236

2.  Novel 3D magnetic resonance fingerprinting radiomics in adult brain tumors: a feasibility study.

Authors:  Charit Tippareddy; Louisa Onyewadume; Andrew E Sloan; Gi-Ming Wang; Nirav T Patil; Siyuan Hu; Jill S Barnholtz-Sloan; Rasim Boyacıoğlu; Vikas Gulani; Jeffrey Sunshine; Mark Griswold; Dan Ma; Chaitra Badve
Journal:  Eur Radiol       Date:  2022-08-24       Impact factor: 7.034

3.  A Magnetic Resonance-Relaxometry-Based Technique to Identify Blood Products in Brain Parenchyma: An Experimental Study on a Rabbit Model.

Authors:  Francesca Del Signore; Massimo Vignoli; Leonardo Della Salda; Roberto Tamburro; Andrea Paolini; Ilaria Cerasoli; Matteo Chincarini; Emanuela Rossi; Nicola Ferri; Mariarita Romanucci; Ilaria Falerno; Francesco de Pasquale
Journal:  Front Vet Sci       Date:  2022-05-31

4.  Magnetic resonance fingerprinting residual signals can disassociate human grey matter regions.

Authors:  Shahrzad Moinian; Viktor Vegh; Kieran O'Brien; David Reutens
Journal:  Brain Struct Funct       Date:  2021-10-25       Impact factor: 3.270

5.  Feasibility of MR fingerprinting using a high-performance 0.55 T MRI system.

Authors:  Adrienne E Campbell-Washburn; Yun Jiang; Gregor Körzdörfer; Mathias Nittka; Mark A Griswold
Journal:  Magn Reson Imaging       Date:  2021-06-08       Impact factor: 3.130

6.  Whole-brain 3D MR fingerprinting brain imaging: clinical validation and feasibility to patients with meningioma.

Authors:  Thomaz R Mostardeiro; Ananya Panda; Robert J Witte; Norbert G Campeau; Kiaran P McGee; Yi Sui; Aiming Lu
Journal:  MAGMA       Date:  2021-05-04       Impact factor: 2.310

7.  Multi-site, multi-platform comparison of MRI T1 measurement using the system phantom.

Authors:  Kathryn E Keenan; Zydrunas Gimbutas; Andrew Dienstfrey; Karl F Stupic; Michael A Boss; Stephen E Russek; Thomas L Chenevert; P V Prasad; Junyu Guo; Wilburn E Reddick; Kim M Cecil; Amita Shukla-Dave; David Aramburu Nunez; Amaresh Shridhar Konar; Michael Z Liu; Sachin R Jambawalikar; Lawrence H Schwartz; Jie Zheng; Peng Hu; Edward F Jackson
Journal:  PLoS One       Date:  2021-06-30       Impact factor: 3.240

Review 8.  Magnetic resonance fingerprinting: from evolution to clinical applications.

Authors:  Jean J L Hsieh; Imants Svalbe
Journal:  J Med Radiat Sci       Date:  2020-06-28
  8 in total

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