Literature DB >> 22993271

A method for quantifying intervertebral disc signal intensity on T2-weighted imaging.

Masaki Nagashima1, Hitoshi Abe, Kenji Amaya, Hideo Matsumoto, Hisashi Yanaihara, Yuji Nishiwaki, Yoshiaki Toyama, Morio Matsumoto.   

Abstract

BACKGROUND: Quantification of intervertebral disc degeneration based on intensity of the nucleus pulposus in magnetic resonance imaging (MRI) often uses the mean intensity of the region of interest (ROI) within the nucleus pulposus. However, the location and size of ROI have varied in different reports, and none of the reported methods can be considered fully objective.
PURPOSE: To develop a more objective method of establishing ROIs for quantitative evaluation of signal intensity in the nucleus pulposus using T2-weighted MRI.
MATERIAL AND METHODS: A 1.5-T scanner was used to obtain T2-weighted mid-sagittal images. A total of 288 intervertebral discs from 48 patients (25 men, 23 women) were analyzed. Mean age was 47.4 years (range, 17-69 years). All discs were classified into five grades according to Pfirrmann et al. Discs in grades I and II were defined as bright discs, and discs in grades IV and V were defined as dark discs. Eight candidate methods of ROI determination were devised. The method offering the highest degree of discrimination between bright and dark discs was investigated among these eight methods.
RESULTS: The method with the greatest degree of discrimination was as follows. The quadrangle formed by anterior and posterior edges of the upper and lower end plates in contact with the intervertebral disc to be measured was defined as the intervertebral area. A shape similar to the intervertebral area but with one-quarter the area was drawn. The geometrical center of the shape was matched to the center of intensity, and this shape was then used as the ROI. Satisfactory validity and reproducibility were obtained using this method.
CONCLUSION: The present method offers adequate discrimination and could be useful for longitudinal tracking of intervertebral disc degeneration with sufficient reproducibility.

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Year:  2012        PMID: 22993271     DOI: 10.1258/ar.2012.120039

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  10 in total

1.  In-vivo T2-relaxation times of asymptomatic cervical intervertebral discs.

Authors:  Sean J Driscoll; Weiye Zhong; Martin Torriani; Haiqing Mao; Kirkham B Wood; Thomas D Cha; Guoan Li
Journal:  Skeletal Radiol       Date:  2015-12-07       Impact factor: 2.199

2.  Correlation between T2* (T2 star) relaxation time and cervical intervertebral disc degeneration: An observational study.

Authors:  Minghua Huang; Yong Guo; Qiong Ye; Lei Chen; Kai Zhou; Qingjun Wang; Lixin Shao; Qinglei Shi; Chun Chen
Journal:  Medicine (Baltimore)       Date:  2016-11       Impact factor: 1.889

3.  T2 relaxation time for intervertebral disc degeneration in patients with upper back pain: initial results on the clinical use of 3.0 Tesla MRI.

Authors:  Raoying Xie; Linhui Ruan; Lei Chen; Kai Zhou; Jiandong Yuan; Wei Ji; Guangjian Jing; Xiaojing Huang; Qinglei Shi; Chun Chen
Journal:  BMC Med Imaging       Date:  2017-01-31       Impact factor: 1.930

4.  Revisiting Radiographic L5-S1 Parallelism Using MRI T1 Mapping.

Authors:  Julien Galley; Federico Balagué
Journal:  J Belg Soc Radiol       Date:  2018-09-27       Impact factor: 1.894

5.  Quantitative T2 magnetic resonance imaging compared to morphological grading of the early cervical intervertebral disc degeneration: an evaluation approach in asymptomatic young adults.

Authors:  Chun Chen; Minghua Huang; Zhihua Han; Lixin Shao; Yan Xie; Jianhong Wu; Yan Zhang; Hongkui Xin; Aijun Ren; Yong Guo; Deli Wang; Qing He; Dike Ruan
Journal:  PLoS One       Date:  2014-02-03       Impact factor: 3.240

6.  MRI analysis of the ISOBAR TTL internal fixation system for the dynamic fixation of intervertebral discs: a comparison with rigid internal fixation.

Authors:  Jun Gao; Weihua Zhao; Xi Zhang; Luming Nong; Dong Zhou; Zhengxiang Lv; Yonghua Sheng; Xingbiao Wu
Journal:  J Orthop Surg Res       Date:  2014-06-04       Impact factor: 2.359

7.  Quantitative Pfirrmann Disc Degeneration Grading System to Overcome the Limitation of Pfirrmann Disc Degeneration Grade.

Authors:  Dae Cheol Rim
Journal:  Korean J Spine       Date:  2016-03-31

8.  Quantitative evaluation of lumbar intervertebral disc degeneration by axial T2* mapping.

Authors:  Leitao Huang; Yuan Liu; Yi Ding; Xia Wu; Ning Zhang; Qi Lai; Xianjun Zeng; Zongmiao Wan; Min Dai; Bin Zhang
Journal:  Medicine (Baltimore)       Date:  2017-12       Impact factor: 1.817

9.  Multimodal quantitative magnetic resonance imaging for lumbar intervertebral disc degeneration.

Authors:  Wei Wang; Jin Hou; Deyong Lv; Wen Liang; Xinqing Jiang; Hongbin Han; Xianyue Quan
Journal:  Exp Ther Med       Date:  2017-07-12       Impact factor: 2.447

10.  Lumbar intervertebral disc characterization through quantitative MRI analysis: An automatic voxel-based relaxometry approach.

Authors:  Claudia Iriondo; Valentina Pedoia; Sharmila Majumdar
Journal:  Magn Reson Med       Date:  2020-02-14       Impact factor: 4.668

  10 in total

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