Literature DB >> 29361876

Impact of Admission Imaging Findings on Neurological Outcomes in Acute Cervical Traumatic Spinal Cord Injury.

H Francis Farhadi1, Sunil Kukreja1, Amy Minnema1, Lohith Vatti1, Meera Gopinath1, Luciano Prevedello2, Cheng Chen3, Huiyun Xiang4, Jan M Schwab4.   

Abstract

Variable and unpredictable spontaneous recovery can occur after acute cervical traumatic spinal cord injury (tSCI). Despite the critical clinical and interventional trial planning implications of this tSCI feature, baseline measures to predict neurologic recovery accurately are not well defined. In this study, we used data derived from 99 consecutive patients (78 male, 21 female) with acute cervical tSCIs to assess the sensitivity and specificity of various clinical and radiological factors in predicting recovery at one year after injury. Categorical magnetic resonance imaging parameters included maximum canal compromise (MCC), maximum spinal cord compression (MSCC), longitudinal length of intramedullary lesion (IML), Brain and Spinal Injury Center (BASIC) score, and a novel derived Combined Axial and Sagittal Score (CASS). Logistic regression analysis of the area under the receiver operating characteristic curve (AUC) was applied to assess the differential predictive value of individual imaging markers. Admission American Spinal Injury Association Impairment Scale (AIS) grade, presence of a spinal fracture, and central cord syndrome were predictive of AIS conversion at one year. Both BASIC and IML were stronger predictors of AIS conversion compared with MCC and MSCC (p = 0.0002 and p = 0.04). The BASIC score demonstrated the highest overall predictive value for AIS conversion at one year (AUC 0.94). We conclude that admission intrinsic cord signal findings are robust predictive surrogate markers of neurologic recovery after cervical tSCI. Direct comparison of imaging parameters in this cohort of patients indicates that the BASIC score is the single best acute predictor of the likelihood of AIS conversion.

Entities:  

Keywords:  AIS conversion; cervical; intramedullary high-signal intensity; magnetic resonance imaging; spinal cord injury

Mesh:

Year:  2018        PMID: 29361876     DOI: 10.1089/neu.2017.5510

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  17 in total

1.  Convolutional Neural Network-Based Automated Segmentation of the Spinal Cord and Contusion Injury: Deep Learning Biomarker Correlates of Motor Impairment in Acute Spinal Cord Injury.

Authors:  D B McCoy; S M Dupont; C Gros; J Cohen-Adad; R J Huie; A Ferguson; X Duong-Fernandez; L H Thomas; V Singh; J Narvid; L Pascual; N Kyritsis; M S Beattie; J C Bresnahan; S Dhall; W Whetstone; J F Talbott
Journal:  AJNR Am J Neuroradiol       Date:  2019-03-28       Impact factor: 3.825

2.  Assessment of acute traumatic cervical spinal cord injury using conventional magnetic resonance imaging in combination with diffusion tensor imaging-tractography: a retrospective comparative study.

Authors:  Fengzhao Zhu; Yulong Wang; Xiangchuang Kong; Yuan Liu; Lian Zeng; Xirui Jing; Sheng Yao; Kaifang Chen; Lian Yang; Xiaodong Guo
Journal:  Eur Spine J       Date:  2022-05-31       Impact factor: 2.721

3.  Correlation Analysis Between Magnetic Resonance Imaging-Based Anatomical Assessment and Behavioral Outcome in a Rat Contusion Model of Chronic Thoracic Spinal Cord Injury.

Authors:  Cong Xing; Zeyu Jia; Haodong Qu; Song Liu; Wang Jiang; Hao Zhong; Mi Zhou; Shibo Zhu; Guangzhi Ning; Shiqing Feng
Journal:  Front Neurosci       Date:  2022-04-21       Impact factor: 5.152

4.  Degeneration of white matter and gray matter revealed by diffusion tensor imaging and pathological mechanism after spinal cord injury in canine.

Authors:  Chang-Bin Liu; De-Gang Yang; Xin Zhang; Wen-Hao Zhang; Da-Peng Li; Chao Zhang; Chuan Qin; Liang-Jie Du; Jun Li; Feng Gao; Jie Zhang; Zhen-Tao Zuo; Ming-Liang Yang; Jian-Jun Li
Journal:  CNS Neurosci Ther       Date:  2018-08-03       Impact factor: 5.243

5.  Synchronized and integrated prehospital treatment for acute cervical spinal cord injury.

Authors:  Yanlin Yin; Xinming Yang; Ye Tian; Ying Zhang; Peinan Zhang; Yongli Jia; Yao Yao; Xiuyu Du; Tianmin Li; Xiaodong Li
Journal:  Am J Transl Res       Date:  2021-06-15       Impact factor: 4.060

Review 6.  The neuroanatomical-functional paradox in spinal cord injury.

Authors:  Karim Fouad; Phillip G Popovich; Marcel A Kopp; Jan M Schwab
Journal:  Nat Rev Neurol       Date:  2020-12-11       Impact factor: 44.711

7.  Width and neurophysiologic properties of tissue bridges predict recovery after cervical injury.

Authors:  Kevin Vallotton; Eveline Huber; Reto Sutter; Armin Curt; Markus Hupp; Patrick Freund
Journal:  Neurology       Date:  2019-05-15       Impact factor: 9.910

Review 8.  Guidelines for the conduct of clinical trials in spinal cord injury: Neuroimaging biomarkers.

Authors:  Maryam Seif; Claudia Am Gandini Wheeler-Kingshott; Julien Cohen-Adad; Adam E Flanders; Patrick Freund
Journal:  Spinal Cord       Date:  2019-07-02       Impact factor: 2.772

Review 9.  Traumatic and nontraumatic spinal cord injury: pathological insights from neuroimaging.

Authors:  Gergely David; Siawoosh Mohammadi; Allan R Martin; Julien Cohen-Adad; Nikolaus Weiskopf; Alan Thompson; Patrick Freund
Journal:  Nat Rev Neurol       Date:  2019-10-31       Impact factor: 42.937

Review 10.  Improving Diagnostic Workup Following Traumatic Spinal Cord Injury: Advances in Biomarkers.

Authors:  Simon Schading; Tim M Emmenegger; Patrick Freund
Journal:  Curr Neurol Neurosci Rep       Date:  2021-07-16       Impact factor: 5.081

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