Literature DB >> 26155898

Predictors of surgical outcome in cervical spondylotic myelopathy: focusing on the quantitative signal intensity.

Jing Tao Zhang1, Fan Tao Meng1, Shuai Wang1, Lin Feng Wang1, Yong Shen2.   

Abstract

PURPOSE: The association between intramedullary increased signal intensity (ISI) on T2-weighted magnetic resonance imaging and surgical outcome in cervical spondylotic myelopathy (CSM) remains controversial. The purpose of this study is to assess the impact of quantitative signal change ratio (SCR) on the surgical outcome for CSM.
METHODS: The prospective study included 108 consecutive patients who underwent surgical treatment for CSM. The Japanese Orthopaedic Association (JOA) score and recovery rate were used to evaluate clinical outcomes. JOA recovery rate less than 50% was defined as a poor clinical result. The SCR was defined as the signal intensity at the level of ISI or severely compressed cord (in cases with no ISI) divided by the signal intensity at the C7-T1 disc level. Age, sex, body mass index, duration of symptoms, surgical technique, preoperative JOA score, levels of compression, preoperative SCR, preoperative C2-7 angle, preoperative C2-7 range of motion were assessed.
RESULTS: Forty patients (37.0%) had a recovery rate of less than 50%. Multivariate logistic regression analysis revealed that a higher preoperative SCR and a longer duration of symptoms were significant risk factors for a poor clinical outcome. Receiver operating characteristic (ROC) curve analysis showed that the optimal preoperative SCR cutoff value as a predictor of poor clinical result was 1.46. The area under the ROC curve of preoperative SCR for predicting a poor surgical outcome was 0.844.
CONCLUSIONS: Preoperative SCR significantly reflected the surgical outcome in patients with CSM. Patients with SCR greater than or equal to 1.46 can experience poor recovery after surgery.

Entities:  

Keywords:  Cervical spondylotic myelopathy; Intramedullary spinal cord signal intensity; Magnetic resonance imaging; Prognosis; Quantitative analysis

Mesh:

Year:  2015        PMID: 26155898     DOI: 10.1007/s00586-015-4109-5

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  28 in total

1.  Intramedullary high signal intensity on T2-weighted MR images in cervical spondylotic myelopathy: prediction of prognosis with type of intensity.

Authors:  C J Chen; R K Lyu; S T Lee; Y C Wong; L J Wang
Journal:  Radiology       Date:  2001-12       Impact factor: 11.105

2.  Functional and clinical outcomes following surgical treatment in patients with cervical spondylotic myelopathy: a prospective study of 81 cases.

Authors:  Julio C Furlan; Sukhvinder Kalsi-Ryan; Ahilan Kailaya-Vasan; Eric M Massicotte; Michael G Fehlings
Journal:  J Neurosurg Spine       Date:  2011-01-14

3.  Magnetic resonance T2 image signal intensity ratio and clinical manifestation predict prognosis after surgical intervention for cervical spondylotic myelopathy.

Authors:  Ying-Ze Zhang; Yong Shen; Lin-Feng Wang; Wen-Yuan Ding; Jia-Xin Xu; Jie He
Journal:  Spine (Phila Pa 1976)       Date:  2010-05-01       Impact factor: 3.468

4.  Correlation between operative outcomes of cervical compression myelopathy and mri of the spinal cord.

Authors:  Y Morio; R Teshima; H Nagashima; K Nawata; D Yamasaki; Y Nanjo
Journal:  Spine (Phila Pa 1976)       Date:  2001-06-01       Impact factor: 3.468

5.  Magnetic resonance imaging study on the results of surgery for cervical compression myelopathy.

Authors:  Y Okada; T Ikata; H Yamada; R Sakamoto; S Katoh
Journal:  Spine (Phila Pa 1976)       Date:  1993-10-15       Impact factor: 3.468

6.  Predictability of operative results of cervical compression myelopathy based on preoperative computed tomographic myelography.

Authors:  T Koyanagi; K Hirabayashi; K Satomi; Y Toyama; Y Fujimura
Journal:  Spine (Phila Pa 1976)       Date:  1993-10-15       Impact factor: 3.468

7.  Clinical and MRI predictors of outcome after surgical intervention for cervical spondylotic myelopathy.

Authors:  T Alafifi; R Kern; M Fehlings
Journal:  J Neuroimaging       Date:  2007-10       Impact factor: 2.486

8.  The prognosis of surgery for cervical compression myelopathy. An analysis of the factors involved.

Authors:  K Fujiwara; K Yonenobu; S Ebara; K Yamashita; K Ono
Journal:  J Bone Joint Surg Br       Date:  1989-05

9.  Operative results and postoperative progression of ossification among patients with ossification of cervical posterior longitudinal ligament.

Authors:  K Hirabayashi; J Miyakawa; K Satomi; T Maruyama; K Wakano
Journal:  Spine (Phila Pa 1976)       Date:  1981 Jul-Aug       Impact factor: 3.468

10.  Effect of intramedullary signal changes on the surgical outcome of patients with cervical spondylotic myelopathy.

Authors:  Ashish Suri; Ravinder Pal Singh Chabbra; Veer Singh Mehta; Sailesh Gaikwad; Ram Mohan Pandey
Journal:  Spine J       Date:  2003 Jan-Feb       Impact factor: 4.166

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  7 in total

1.  The Michel Benoist and Robert Mulholland yearly European Spine Journal review: a survey of the "medical" articles in the European Spine Journal, 2015.

Authors:  Michel Benoist
Journal:  Eur Spine J       Date:  2015-11-23       Impact factor: 3.134

2.  Diffusion tensor imaging can predict surgical outcomes of patients with cervical compression myelopathy.

Authors:  Satoshi Maki; Masao Koda; Mitsuhiro Kitamura; Taigo Inada; Koshiro Kamiya; Mitsutoshi Ota; Yasushi Iijima; Junya Saito; Yoshitada Masuda; Koji Matsumoto; Masatoshi Kojima; Takayuki Obata; Kazuhisa Takahashi; Masashi Yamazaki; Takeo Furuya
Journal:  Eur Spine J       Date:  2017-06-16       Impact factor: 3.134

3.  Predictive Nomogram for Clinical Prognosis in Cervical Spondylotic Myelopathy With Intramedullary T2-Weighted Increased Signal Intensity: A Novel Digital Tool for Patient Prognosis Education.

Authors:  Jie Wang; Haopeng Li; Baohui Yang
Journal:  Front Public Health       Date:  2022-05-31

4.  Inadequate Surgical Decompression in Patients with Cervical Myelopathy: A Retrospective Review.

Authors:  Amandeep Bhalla; Kevin W Rolfe
Journal:  Global Spine J       Date:  2015-12-01

5.  Cervical Spondylotic Myelopathy: Natural Course and the Value of Diagnostic Techniques -WFNS Spine Committee Recommendations.

Authors:  Mehmet Zileli; Sachin A Borkar; Sumit Sinha; Rui Reinas; Óscar L Alves; Se-Hoon Kim; Sumeet Pawar; Bala Murali; Jutty Parthiban
Journal:  Neurospine       Date:  2019-09-30

6.  The prediction of intraoperative cervical cord function changes by different motor evoked potentials phenotypes in cervical myelopathy patients.

Authors:  Shujie Wang; Zhifu Ren; Jia Liu; Jianguo Zhang; Ye Tian
Journal:  BMC Neurol       Date:  2020-05-30       Impact factor: 2.474

Review 7.  The Role of Nutrition in Degenerative Cervical Myelopathy: A Systematic Review.

Authors:  Celine I Partha Sarathi; Oliver D Mowforth; Amil Sinha; Faheem Bhatti; Aniqah Bhatti; Melika Akhbari; Shahzaib Ahmed; Benjamin M Davies
Journal:  Nutr Metab Insights       Date:  2021-10-30
  7 in total

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