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The value of quantitative diffusion tensor imaging indices of spinal cord disorders

Background Different lesions affecting the spinal cord can lead to myelopathy. Diffusion tensor imaging (DTI) is widely used to predict the degree of spinal cord microstructure affection and to assess axonal integrity and diffusion directionality. We hypothesized that not all DTI parameters have the...

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Published in:Egyptian journal of radiology and nuclear medicine 2021-11, Vol.52 (1), p.271-9
Main Authors: Omar, Mohammad Koriem Mahmoud, Abd Allah, Abd El-Karem Hasan, Maghrabi, Mona Gouda, Mohamed, Mohamed Zidan
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container_title Egyptian journal of radiology and nuclear medicine
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Abd Allah, Abd El-Karem Hasan
Maghrabi, Mona Gouda
Mohamed, Mohamed Zidan
description Background Different lesions affecting the spinal cord can lead to myelopathy. Diffusion tensor imaging (DTI) is widely used to predict the degree of spinal cord microstructure affection and to assess axonal integrity and diffusion directionality. We hypothesized that not all DTI parameters have the same affection with different spinal cord pathologies. The purpose of this study is to assess the value of the quantitative diffusion tensor imaging indices in different spinal cord lesions. Results There is highly statistically significant difference of the fractional anisotropy (FA), relative anisotropy (RA), volume ratio (VR) and secondary eigenvector values (E2 and E3) between various studied cord lesions and control levels. There is no statistically significant difference of the apparent diffusion coefficient (ADC) and the primary eigenvector value (E1) (ANOVA test). The ROC curve analysis showed the higher sensitivity and accuracy were '88% and 62.5%, respectively,' with FA cutoff value about 0.380. Conclusion The resulted quantitative DTI indices 'fractional anisotropy, relative anisotropy, volume ratio and secondary eigenvalues' work as a numerical in vivo marker of overall tissue injury in different pathologies affecting the spinal cord.
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Diffusion tensor imaging (DTI) is widely used to predict the degree of spinal cord microstructure affection and to assess axonal integrity and diffusion directionality. We hypothesized that not all DTI parameters have the same affection with different spinal cord pathologies. The purpose of this study is to assess the value of the quantitative diffusion tensor imaging indices in different spinal cord lesions. Results There is highly statistically significant difference of the fractional anisotropy (FA), relative anisotropy (RA), volume ratio (VR) and secondary eigenvector values (E2 and E3) between various studied cord lesions and control levels. There is no statistically significant difference of the apparent diffusion coefficient (ADC) and the primary eigenvector value (E1) (ANOVA test). The ROC curve analysis showed the higher sensitivity and accuracy were '88% and 62.5%, respectively,' with FA cutoff value about 0.380. 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Diffusion tensor imaging (DTI) is widely used to predict the degree of spinal cord microstructure affection and to assess axonal integrity and diffusion directionality. We hypothesized that not all DTI parameters have the same affection with different spinal cord pathologies. The purpose of this study is to assess the value of the quantitative diffusion tensor imaging indices in different spinal cord lesions. Results There is highly statistically significant difference of the fractional anisotropy (FA), relative anisotropy (RA), volume ratio (VR) and secondary eigenvector values (E2 and E3) between various studied cord lesions and control levels. There is no statistically significant difference of the apparent diffusion coefficient (ADC) and the primary eigenvector value (E1) (ANOVA test). The ROC curve analysis showed the higher sensitivity and accuracy were '88% and 62.5%, respectively,' with FA cutoff value about 0.380. 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subjects ADC
Anisotropy
Diffusion tensor imaging
Eigenvectors
Magnetic resonance imaging
Medical research
Medicine, Experimental
MRI
Patients
Spinal cord
title The value of quantitative diffusion tensor imaging indices of spinal cord disorders
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