Literature DB >> 20494809

Comparison of prognostic value of different MRI classifications of signal intensity change in cervical spondylotic myelopathy.

Ashwin Avadhani1, S Rajasekaran, Ajoy P Shetty.   

Abstract

BACKGROUND CONTEXT: Signal intensity (SI) changes of the spinal cord on magnetic resonance imaging (MRI) in cervical spondylotic myelopathy (CSM) are thought to be a predictor of surgical outcome. However, the clinical significance of SI change remains controversial. Although several classifications exist for SI change, there are no previous studies comparing their prognostic significance.
PURPOSE: To determine the MRI classification of SI changes in patients with CSM that is useful for prognostication of surgical outcome. STUDY
DESIGN: Retrospective case study. PATIENT SAMPLE: Patients who underwent cervical laminectomy for CSM between the time period of January 2000 and December 2005. OUTCOME MEASURE: Clinical outcome was measured by the recovery rate (RR) and the postoperative Nurick grade.
METHODS: We retrospectively studied 35 of the 77 CSM patients (mean age, 57.8 years; range, 30-69; preoperative symptom duration, 9.3 months) who underwent cervical laminectomy and who met the inclusion criteria. Postoperative MRIs were performed at a mean of 51.3 months postsurgery to assess for resolution of preoperative signal changes. The pattern of spinal cord SI was classified in three different ways: based on high SI on T2-weighted images (T2WI) (Grade 0-absent, Grade 1-obscure, and Grade 2-intense); based on the extent of SI change on T2WI into focal (confined to one disc level) and multisegmental (more than one disc level); and based on T1-weighted image (T1WI) and T2WI changes into Group A (MRI normal/normal), no intramedullary SI abnormality on T1WI or T2WI; Group B (MRI normal/high SI), no intramedullary SI abnormality on T1WI and high intramedullary SI on T2WI; Group C (MRI low/high SI changes), low-intensity intramedullary signal abnormality on T1WI and high-intensity intramedullary signal abnormality on T2WI. Preoperative clinical findings and MRI abnormalities were correlated with outcomes (Nurick scores, RR) after surgical intervention.
RESULTS: Preoperative MRI studies demonstrated the following: Grade 0=1, Grade 1=13, Grade 2=13; focal=18, multisegmental=16; Group A=1; Group B=29; and Group C=5. Resolution of signal changes in T2WI was seen in most patients; however, four patients developed low SI in T1WI in the postoperative MRI. There was no significant difference in the RRs of patients with different grades in the T2WI or with focal or multisegmental SI changes (p=.47 and .28, respectively). In contrast, patients with low SI changes in T1WI were associated with a poor surgical outcome (p<.001). The linear regression model performed using low-intensity signal changes as a dependent variable and the RR as an independent variable confirmed the significance (p<.001) of low SI changes on T1WI as a predictor for surgical outcome.
CONCLUSIONS: A classification system of MRI signal changes that accommodates both T1WI and T2WI is more predictive of surgical outcome than those that include T2W SI changes alone. Postoperative MRI is useful to identify late onset of low T1W intensity changes in patients with poor neurological recovery. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20494809     DOI: 10.1016/j.spinee.2010.03.024

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  21 in total

1.  Quantitative magnetic resonance imaging analysis correlates with surgical outcome of cervical spondylotic myelopathy.

Authors:  L-Q Sun; Y-M Li; X Wang; H-C Cao
Journal:  Spinal Cord       Date:  2014-11-18       Impact factor: 2.772

2.  Correlation between diffusion tensor imaging parameters and clinical assessments in patients with cervical spondylotic myelopathy with and without high signal intensity.

Authors:  Y Liu; C Kong; L Cui; X Yuan; P Zhao; Y Zhang; Y Guan; X Chen
Journal:  Spinal Cord       Date:  2017-09-05       Impact factor: 2.772

3.  Cervical spondylotic myelopathy: the prediction of outcome following surgical intervention in 93 patients using T1- and T2-weighted MRI scans.

Authors:  Hatem M I Salem; Khalid M I Salem; Filip Burget; Raj Bommireddy; Zdenek Klezl
Journal:  Eur Spine J       Date:  2015-06-16       Impact factor: 3.134

4.  Risk factors for poor outcome of surgery for cervical spondylotic myelopathy.

Authors:  J T Zhang; L F Wang; S Wang; J Li; Y Shen
Journal:  Spinal Cord       Date:  2016-05-03       Impact factor: 2.772

Review 5.  Does the type of T2-weighted hyperintensity influence surgical outcome in patients with cervical spondylotic myelopathy? A review.

Authors:  Aditya Vedantam; Vedantam Rajshekhar
Journal:  Eur Spine J       Date:  2012-08-25       Impact factor: 3.134

6.  Outcome factors in surgically treated patients for cervical spondylotic myelopathy.

Authors:  Jiolanda Zika; George A Alexiou; Sotirios Giannopoulos; Ioannis Kastanioudakis; Athanasios P Kyritsis; Spyridon Voulgaris
Journal:  J Spinal Cord Med       Date:  2018-07-24       Impact factor: 1.985

7.  Magnetic resonance imaging features of Great Danes with and without clinical signs of cervical spondylomyelopathy.

Authors:  Paula Martin-Vaquero; Ronaldo C da Costa
Journal:  J Am Vet Med Assoc       Date:  2014-08-15       Impact factor: 1.936

8.  Imaging modalities for cervical spondylotic stenosis and myelopathy.

Authors:  C Green; J Butler; S Eustace; A Poynton; J M O'Byrne
Journal:  Adv Orthop       Date:  2011-07-20

9.  Characteristics of spondylotic myelopathy on 3D driven-equilibrium fast spin echo and 2D fast spin echo magnetic resonance imaging: a retrospective cross-sectional study.

Authors:  Mike A Abdulhadi; Joseph R Perno; Elias R Melhem; Paolo G P Nucifora
Journal:  PLoS One       Date:  2014-07-15       Impact factor: 3.240

10.  Compensatory brainstem functional and structural connectivity in patients with degenerative cervical myelopathy by probabilistic tractography and functional MRI.

Authors:  Chencai Wang; Azim Laiwalla; Noriko Salamon; Benjamin M Ellingson; Langston T Holly
Journal:  Brain Res       Date:  2020-09-17       Impact factor: 3.252

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