Literature DB >> 33217862

Diffusional kurtosis imaging in evaluation of microstructural changes of spinal cord in cervical spondylotic myelopathy feasibility study.

Jinfen Yu1, Yongqiang Sun2, Guangliang Cao2, Xiuzhu Zheng3, Yan Jing2, Chuanting Li4.   

Abstract

To explore the value of diffusion kurtosis imaging in the changes of spinal cord microstructures in patients with early cervical spondylotic myelopathy.Twenty nine patients with cervical myelopathy were selected in this study. All images were acquired on a 3.0 T MR scanner (Skyra, Siemens Medical Systems, Germany). The imaging parameters for diffusion kurtosis imaging were as follows: repetition time/echo time, 3000/91 ms; averages, 2; slice thickness/gap, 3/0.3 mm; number of slices, 17; field of view, 230 × 230 mm; Voxel size, 0.4 × 0.4 × 3.0 mm; 3 b-values (0, 1000, and 2000 s/mm) with diffusion encoding in 20 directions for each b-value. Values for fractional anisotropy, mean diffusivity, and mean diffusional kurtosis (MK) were calculated and compared between unaffected and affected spinal cords.In all patients MK was significantly lower in normal appearing spinal cords adjacent to the affected cervical spinal cords than in normal cervical spinal cords (0.862 ± 0.051 vs 0.976 ± 0.0924, P < .0001), but the difference of fractional anisotropy and apparent diffusion coefficient was no significant (P > .05). The affected cervical spinal cords had lower MK (0.716 ± 0.0753), FA and higher apparent diffusion coefficient than normal cervical spinal cords (P < .001).MK values in the cervical spinal cord may reflect microstructural changes of spinal cord damage in cervical myelopathy, and it could potentially provide more information that obtained with conventional diffusion metrics.

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Year:  2020        PMID: 33217862      PMCID: PMC7676587          DOI: 10.1097/MD.0000000000023300

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.817


  22 in total

1.  Statistical model for diffusion attenuated MR signal.

Authors:  Dmitriy A Yablonskiy; G Larry Bretthorst; Joseph J H Ackerman
Journal:  Magn Reson Med       Date:  2003-10       Impact factor: 4.668

2.  Does diffusion kurtosis imaging lead to better neural tissue characterization? A rodent brain maturation study.

Authors:  Matthew M Cheung; Edward S Hui; Kevin C Chan; Joseph A Helpern; Liqun Qi; Ed X Wu
Journal:  Neuroimage       Date:  2008-12-25       Impact factor: 6.556

3.  High b-value q-space analyzed diffusion-weighted MRI: application to multiple sclerosis.

Authors:  Y Assaf; D Ben-Bashat; J Chapman; S Peled; I E Biton; M Kafri; Y Segev; T Hendler; A D Korczyn; M Graif; Y Cohen
Journal:  Magn Reson Med       Date:  2002-01       Impact factor: 4.668

4.  Application of an unsupervised multi-characteristic framework for intermediate-high risk prostate cancer localization using diffusion-weighted MRI.

Authors:  Raisa Z Freidlin; Harsh K Agarwal; Sandeep Sankineni; Anna M Brown; Francesca Mertan; Marcelino Bernardo; Dagane Daar; Maria Merino; Deborah Citrin; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  Magn Reson Imaging       Date:  2016-07-20       Impact factor: 2.546

5.  Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging.

Authors:  Jens H Jensen; Joseph A Helpern; Anita Ramani; Hanzhang Lu; Kyle Kaczynski
Journal:  Magn Reson Med       Date:  2005-06       Impact factor: 4.668

6.  Preliminary observations of increased diffusional kurtosis in human brain following recent cerebral infarction.

Authors:  Jens H Jensen; Maria F Falangola; Caixia Hu; Ali Tabesh; Otto Rapalino; Calvin Lo; Joseph A Helpern
Journal:  NMR Biomed       Date:  2010-10-19       Impact factor: 4.044

7.  New diffusion metrics for spondylotic myelopathy at an early clinical stage.

Authors:  Masaaki Hori; Issei Fukunaga; Yoshitaka Masutani; Atsushi Nakanishi; Keigo Shimoji; Koji Kamagata; Koichi Asahi; Nozomi Hamasaki; Yuriko Suzuki; Shigeki Aoki
Journal:  Eur Radiol       Date:  2012-03-13       Impact factor: 5.315

8.  Cerebral gliomas: diffusional kurtosis imaging analysis of microstructural differences.

Authors:  Peter Raab; Elke Hattingen; Kea Franz; Friedhelm E Zanella; Heinrich Lanfermann
Journal:  Radiology       Date:  2010-01-20       Impact factor: 11.105

9.  Non-gaussian analysis of diffusion-weighted MR imaging in head and neck squamous cell carcinoma: A feasibility study.

Authors:  J F A Jansen; H E Stambuk; J A Koutcher; A Shukla-Dave
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-24       Impact factor: 3.825

10.  Non-Gaussian analysis of diffusion weighted imaging in head and neck at 3T: a pilot study in patients with nasopharyngeal carcinoma.

Authors:  Jing Yuan; David Ka Wai Yeung; Greta S P Mok; Kunwar S Bhatia; Yi-Xiang J Wang; Anil T Ahuja; Ann D King
Journal:  PLoS One       Date:  2014-01-23       Impact factor: 3.240

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