Literature DB >> 29496723

Normal Values of Magnetic Relaxation Parameters of Spine Components with the Synthetic MRI Sequence.

M Drake-Pérez1,2, B M A Delattre3, J Boto1, A Fitsiori1, K-O Lovblad1, S Boudabbous3, M I Vargas4.   

Abstract

BACKGROUND AND
PURPOSE: SyMRI is a technique developed to perform quantitative MR imaging. Our aim was to analyze its potential use for measuring relaxation times of normal components of the spine and to compare them with values found in the literature using relaxometry and other techniques.
MATERIALS AND METHODS: Thirty-two spine MR imaging studies (10 cervical, 5 dorsal, 17 lumbosacral) were included. A modified multiple-dynamic multiple-echo sequence was added and processed to obtain quantitative T1 (millisecond), T2 (millisecond), and proton density (percentage units [pu]) maps for each patient. An ROI was placed on representative areas for CSF, spinal cord, intervertebral discs, and vertebral bodies, to measure their relaxation.
RESULTS: Relaxation time means are reported for CSF (T1 = 4273.4 ms; T2 = 1577.6 ms; proton density = 107.5 pu), spinal cord (T1 = 780.2 ms; T2 = 101.6 ms; proton density = 58.7 pu), normal disc (T1 = 1164.9 ms; T2 = 101.9 ms; proton density = 78.9 pu), intermediately hydrated disc (T1 = 723 ms; T2 = 66.8 ms; proton density = 60.8 pu), desiccated disc (T1 = 554.4 ms; T2 = 55.6 ms; proton density = 47.6 ms), and vertebral body (T1 = 515.3 ms; T2 = 100.8 ms; proton density = 91.1 pu). Comparisons among the mean T1, T2, and proton density values showed significant differences between different spinal levels (cervical, dorsal, lumbar, and sacral) for CSF (proton density), spinal cord (T2 and proton density), normal disc (T1, T2, and proton density), and vertebral bodies (T1 and proton density). Significant differences were found among mean T1, T2, and proton density values of normal, intermediately hydrated, and desiccated discs.
CONCLUSIONS: Measurements can be easily obtained on SyMRI and correlated with previously published values obtained using conventional relaxometry techniques.
© 2018 by American Journal of Neuroradiology.

Entities:  

Mesh:

Year:  2018        PMID: 29496723     DOI: 10.3174/ajnr.A5566

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


  8 in total

1.  Development, validation, and pilot MRI safety study of a high-resolution, open source, whole body pediatric numerical simulation model.

Authors:  Hongbae Jeong; Georgios Ntolkeras; Michel Alhilani; Seyed Reza Atefi; Lilla Zöllei; Kyoko Fujimoto; Ali Pourvaziri; Michael H Lev; P Ellen Grant; Giorgio Bonmassar
Journal:  PLoS One       Date:  2021-01-13       Impact factor: 3.240

2.  Validation of a Denoising Method Using Deep Learning-Based Reconstruction to Quantify Multiple Sclerosis Lesion Load on Fast FLAIR Imaging.

Authors:  T Yamamoto; C Lacheret; H Fukutomi; R A Kamraoui; L Denat; B Zhang; V Prevost; L Zhang; A Ruet; B Triaire; V Dousset; P Coupé; T Tourdias
Journal:  AJNR Am J Neuroradiol       Date:  2022-07-28       Impact factor: 4.966

Review 3.  Spinal disorders mimicking infection.

Authors:  Sana Boudabbous; Emilie Nicodème Paulin; Bénédicte Marie Anne Delattre; Marion Hamard; Maria Isabel Vargas
Journal:  Insights Imaging       Date:  2021-12-04

4.  Qualitative and Quantitative Performance of Magnetic Resonance Image Compilation (MAGiC) Method: An Exploratory Analysis for Head and Neck Imaging.

Authors:  Amaresha Shridhar Konar; Ramesh Paudyal; Akash Deelip Shah; Maggie Fung; Suchandrima Banerjee; Abhay Dave; Nancy Lee; Vaios Hatzoglou; Amita Shukla-Dave
Journal:  Cancers (Basel)       Date:  2022-07-26       Impact factor: 6.575

5.  Synthetic MRI in the detection and quantitative evaluation of sacroiliac joint lesions in axial spondyloarthritis.

Authors:  Ke Zhang; Chaoran Liu; Yunfei Zhu; Wenjuan Li; Ximeng Li; Jing Zheng; Guobin Hong
Journal:  Front Immunol       Date:  2022-09-26       Impact factor: 8.786

6.  Optimized multi-echo gradient-echo magnetic resonance imaging for gray and white matter segmentation in the lumbosacral cord at 3 T.

Authors:  Silvan Büeler; Marios C Yiannakas; Zdravko Damjanovski; Patrick Freund; Martina D Liechti; Gergely David
Journal:  Sci Rep       Date:  2022-10-03       Impact factor: 4.996

7.  Generative models: an upcoming innovation in musculoskeletal radiology? A preliminary test in spine imaging.

Authors:  Fabio Galbusera; Tito Bassani; Gloria Casaroli; Salvatore Gitto; Edoardo Zanchetta; Francesco Costa; Luca Maria Sconfienza
Journal:  Eur Radiol Exp       Date:  2018-10-31

8.  Application of MAGnetic resonance imaging compilation in acute ischemic stroke.

Authors:  Qi Wang; Gang Wang; Qiang Sun; Di-He Sun
Journal:  World J Clin Cases       Date:  2021-12-16       Impact factor: 1.337

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.