Literature DB >> 33945050

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

Thomaz R Mostardeiro1, Ananya Panda2, Robert J Witte2, Norbert G Campeau2, Kiaran P McGee2, Yi Sui2, Aiming Lu2.   

Abstract

PURPOSE: MR fingerprinting (MRF) is a MR technique that allows assessment of tissue relaxation times. The purpose of this study is to evaluate the clinical application of this technique in patients with meningioma.
MATERIALS AND METHODS: A whole-brain 3D isotropic 1mm3 acquisition under a 3.0T field strength was used to obtain MRF T1 and T2-based relaxometry values in 4:38 s. The accuracy of values was quantified by scanning a quantitative MR relaxometry phantom. In vivo evaluation was performed by applying the sequence to 20 subjects with 25 meningiomas. Regions of interest included the meningioma, caudate head, centrum semiovale, contralateral white matter and thalamus. For both phantom and subjects, mean values of both T1 and T2 estimates were obtained. Statistical significance of differences in mean values between the meningioma and other brain structures was tested using a Friedman's ANOVA test.
RESULTS: MR fingerprinting phantom data demonstrated a linear relationship between measured and reference relaxometry estimates for both T1 (r2 = 0.99) and T2 (r2 = 0.97). MRF T1 relaxation times were longer in meningioma (mean ± SD 1429 ± 202 ms) compared to thalamus (mean ± SD 1054 ± 58 ms; p = 0.004), centrum semiovale (mean ± SD 825 ± 42 ms; p < 0.001) and contralateral white matter (mean ± SD 799 ± 40 ms; p < 0.001). MRF T2 relaxation times were longer for meningioma (mean ± SD 69 ± 27 ms) as compared to thalamus (mean ± SD 27 ± 3 ms; p < 0.001), caudate head (mean ± SD 39 ± 5 ms; p < 0.001) and contralateral white matter (mean ± SD 35 ± 4 ms; p < 0.001)
CONCLUSIONS: Phantom measurements indicate that the proposed 3D-MRF sequence relaxometry estimations are valid and reproducible. For in vivo, entire brain coverage was obtained in clinically feasible time and allows quantitative assessment of meningioma in clinical practice.

Entities:  

Keywords:  3D isotropic; Meningioma; Relaxometry; Whole-brain MR fingerprinting

Year:  2021        PMID: 33945050     DOI: 10.1007/s10334-021-00924-1

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  49 in total

1.  Music-based magnetic resonance fingerprinting to improve patient comfort during MRI examinations.

Authors:  Dan Ma; Eric Y Pierre; Yun Jiang; Mark D Schluchter; Kawin Setsompop; Vikas Gulani; Mark A Griswold
Journal:  Magn Reson Med       Date:  2015-07-16       Impact factor: 4.668

2.  MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout.

Authors:  Yun Jiang; Dan Ma; Nicole Seiberlich; Vikas Gulani; Mark A Griswold
Journal:  Magn Reson Med       Date:  2014-12-09       Impact factor: 4.668

3.  Fast 3D brain MR fingerprinting based on multi-axis spiral projection trajectory.

Authors:  Xiaozhi Cao; Huihui Ye; Congyu Liao; Qing Li; Hongjian He; Jianhui Zhong
Journal:  Magn Reson Med       Date:  2019-03-18       Impact factor: 4.668

4.  Development of high-resolution 3D MR fingerprinting for detection and characterization of epileptic lesions.

Authors:  Dan Ma; Stephen E Jones; Anagha Deshmane; Ken Sakaie; Eric Y Pierre; Mykol Larvie; Debra McGivney; Ingmar Blümcke; Balu Krishnan; Mark Lowe; Vikas Gulani; Imad Najm; Mark A Griswold; Z Irene Wang
Journal:  J Magn Reson Imaging       Date:  2018-12-23       Impact factor: 4.813

5.  Retrospective rigid motion correction of three-dimensional magnetic resonance fingerprinting of the human brain.

Authors:  Jan W Kurzawski; Matteo Cencini; Luca Peretti; Pedro A Gómez; Rolf F Schulte; Graziella Donatelli; Mirco Cosottini; Paolo Cecchi; Mauro Costagli; Alessandra Retico; Michela Tosetti; Guido Buonincontri
Journal:  Magn Reson Med       Date:  2020-05-05       Impact factor: 4.668

6.  Fast 3D magnetic resonance fingerprinting for a whole-brain coverage.

Authors:  Dan Ma; Yun Jiang; Yong Chen; Debra McGivney; Bhairav Mehta; Vikas Gulani; Mark Griswold
Journal:  Magn Reson Med       Date:  2017-08-22       Impact factor: 4.668

7.  Magnetic Resonance Fingerprinting-An Overview.

Authors:  Ananya Panda; Bhairav B Mehta; Simone Coppo; Yun Jiang; Dan Ma; Nicole Seiberlich; Mark A Griswold; Vikas Gulani
Journal:  Curr Opin Biomed Eng       Date:  2017-09

Review 8.  A Perspective on MR Fingerprinting.

Authors:  Jakob Assländer
Journal:  J Magn Reson Imaging       Date:  2020-04-14       Impact factor: 4.813

9.  Designing contrasts for rapid, simultaneous parameter quantification and flow visualization with quantitative transient-state imaging.

Authors:  Pedro A Gómez; Miguel Molina-Romero; Guido Buonincontri; Marion I Menzel; Bjoern H Menze
Journal:  Sci Rep       Date:  2019-06-11       Impact factor: 4.379

10.  Magnetic resonance fingerprinting.

Authors:  Dan Ma; Vikas Gulani; Nicole Seiberlich; Kecheng Liu; Jeffrey L Sunshine; Jeffrey L Duerk; Mark A Griswold
Journal:  Nature       Date:  2013-03-14       Impact factor: 49.962

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