scholarly journals 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

Author(s):  
D.B. McCoy ◽  
S.M. Dupont ◽  
C. Gros ◽  
J. Cohen-Adad ◽  
R.J. Huie ◽  
...  
Neurotrauma ◽  
2018 ◽  
pp. 411-422
Author(s):  
James W. Geddes

More than 100 years ago, Alfred Reginald Allen developed the weight-drop model of graded, reproducible contusion injury to the dorsal spinal cord. Allen also introduced the concept of secondary injury mechanisms, hypothesizing that hemorrhage and elevated intraspinal pressure contribute to the destruction of the spinal cord and functional deficits. Our understanding of the secondary injury cascade has advanced tremendously over the past 100 years, with numerous therapeutic targets identified. Yet we lack an effective drug treatment for acute spinal cord injury. Reasons for the failure to translate promising preclinical findings to successful clinical trials include concerns regarding the quality of preclinical studies, including possible bias and inappropriate statistical analysis; questions regarding the suitability of animal models; and the complexity of secondary mechanisms following spinal cord injury. Perhaps, however, we have overlooked the targets identified by Allen, namely the intraspinal hemorrhage and elevations in intraspinal pressure.


Author(s):  
John K. Yue ◽  
Rachel E. Tsolinas ◽  
John F. Burke ◽  
Hansen Deng ◽  
Pavan S. Upadhyayula ◽  
...  

Author(s):  
Jiaqi Bi ◽  
Jianxiong Shen ◽  
Chong Chen ◽  
Zheng Li ◽  
Haining Tan ◽  
...  

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