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“MR Diffusion Tensor Imaging and Fiber Tracking in 5 Spinal Cord Astrocytomas.” American Journal of Neuroradiology 27, no. “Characterization and Limitations of Diffusion Tensor Imaging [r]

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Le Van Tan Cao Thien Tuong Cho Ray Hospital

24.8.2019

Technical DTI in spinal cord

Limitations and DTI technical adjustments

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2

Dxx Dxy Dxz

Dyx Dyy Dyz

Dzx Dzy Dzz

λ1 0    0 0   λ2   0 0   0    λ3

o DTI raised as an technical optimization of DWI that allow to assess the main diffusional direction within an anisotropic ti

e2 λ3

tissue

o For this aim, motion probing gradients are applied in several directions (at least 6 up to 128) to calculate the main diffusion vectors in a 3 x matrix.

Anisotropic     diffusion :

λ1 >> λ2 ≈ λ3

e1λ1 o Thus, perpendicular vectors

(eigenvectors) are generated

which each one has a

diffusional value (eigenvalue) measured in mm2/s: λ1, λ2

andλ3. Isotropic 

diffusion : λ1 ≈ λ2 ≈ λ3

On its longitudinal orientation, spinal cord demonstrated

demonstrated

anisotropic facilitated diffusion due to the inner cord structure (white matter funiculus) with a dominant

movement from head to foot

Thanks to these characteristics, spinal cord can be adequately evaluated using DTI.

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Eigenvalues for each voxel are calculated from the directional maps

= average of λ1 & λ2 & λ3

 E i l t t ADC

Mean

Mean Diffusivity (MD)Diffusivity (MD)

 Equivalent to ADC

= principal axis λ1

 Represents water diffusivity parallel to axons

 Also referred to as axial diffusivity

= average of λ2 & λ3

 Represents water diffusivity perpendicular to axons

Longitudinal

Longitudinal diffusivity (LD) diffusivity (LD)

Radial

Radial diffusivity (RD) diffusivity (RD)

= ranges from 0-1 (isotropic to completely anisotropic)

 Evaluatesglobal anisotropy

 WM is bright (more anisotropic)

 Decreases when LD↓ or when RD↑

Fractional

Fractional Anisotropy Anisotropy (FA)(FA)

Anisotropic diffusion along white matter tracts

Interstitial Edema

 Increases in spacing between p g

cell membranes increases the mean diffusivity (MD)

 ↑ Trace signal

 ↑ ADC

A.M. Rutman, D. Peterson, W. Cohen, M. Mossa‐Basha

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4 Primary injury to myelin

 Fewer membranes to hinder perpendicular water motion perpendicular water motion  ↑ MD

 ↑ RD

 ↓ FA

Primary injury to axons

 Disruption of parallel  Disruption of parallel

(longitudinal) water motion along WM fiber tracts

 ↑ MD

 ↓ LD

 ↓ FA

A.M. Rutman, D. Peterson, W. Cohen, M. Mossa‐Basha University of Washington Department of Radiology

AKA Fiber Direction Map or Diffusion texture map Voxels are assigned colors based on anisotropy and direction

– Red = Left - Right

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MD TRACE FA TRACTOGRAPHY

Khoa CĐHA ‐ BVCR

DTI Parameter 3T Skyra

TR/TE 2000/65ms

0

Flip angle  900

FOV 280 mm

Thickness 3 mm

Direction 20

B values 0, 1000

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6

Multiple interfaces between bone, epidural fat (chemical shift) and CSF: increase the readout (chemical shift) and CSF: increase the readout artifact.

Pulsation artifacts from aorta, heart or CSF: induce phase errors.

The spinal cord has a small diameter and is located in a deep position: It is difficult to achieve a full SNR with high spatial resolution

If Single-Shot EPI is used, add parallel imaging to reduce susceptibility artifacts and scan time

Use Multi-Shot EPI if available.

Use cardiac triggering to reduce pulsation artifacts.

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S i l C d I f t Spinal Cord Infarct Spinal Cord Trauma Spinal Cord Tumors

As with brain imaging, DWI is becoming an important tool for detection of cord infarct

 DWI is more sensitive and specific than conventional MRI abnormalities

 Diffusion restriction appears earlier than T2 findings on conventional MRI (high Trace signal, low ADC)

 h t 3h ft t t lth h t ti th h ld i

 as short as 3h after symptom onset, although exact time threshold remains unclear

 Enables the confident diagnosis of infarct

 In chronic infarct, ADC may become increased as encephalomalacia develops

A.M. Rutman, D. Peterson, W. Cohen, M. Mossa‐Basha

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8 MRI Conventional MRI

is used to image cord compression and injury compression and injury from extramedullary hemorrhage or

disc/fracture fragment retropulsion

DTI can be sensitive to

h t t

T2 Trace ADC FA

changes not apparent on conventional MRI

T2 Trace ADC FA

Khoa CĐHA ‐ BVCR

Tractography can delineate the pattern of fiber disruption Can help predict outcome by evaluating continuity of fibers through a traumatic lesion

T2 Tractography

S. RAJASEKARAN, R. M. KANNA, A. P. SHETTY J Bone Joint Surg Br 2012;94‐B:1024–31

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A t t l ti ith DTI

Tractography may reveal fiber displacement in ependymomas and fiber infiltration in astrocytomas.

Ependymoma evaluation with DTI AstrocytomaLandi A, World J Clin Cases 2016evaluation with DTI Ducreux D, AJNR. 2006

Lasbleiz J, J Radiol 2006

DTI tractography can delineate WM tracts in delineate WM tracts in relation to tumors and other mass lesions, and can help guide surgical treatment. DTI can predict resectability pre-operatively, DTI may be

t ti l t l f t t t

T2 Trace ADC Tractography

a potential tool for treatment monitoring specially for detection of recurrence

T2 Trace ADC T2

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10 DTI is a non-invasive technique that allows to assess

microstructure of spinal cord structures and to perform spinal cord 3D tractography reconstructions.

DTI may be a potential tool for early detection of

abnormalities in the spinal cord, a complementary tool to conventional MRI in spine cord lesions evaluation

DTI and tractography can delineate WM tracts relative to the tumor and aid in tumor mapping and surgical planning Can help predict outcome by evaluating continuity of fibers through a traumatic lesion.

1 Vargas, Maria Isabel, Jacqueline Delavelle, Helmi Jlassi, Bénédict Rilliet, Magalie Viallon, Christoph D Becker, and Karl-OlofLövblad “Clinical Applications of Diffusion Tensor Tractography of the Spinal Cord.” Neuroradiology 50, no (October 2, 2007): 25–29

2 Thurnher, Majda M., and Roland Bammer “Diffusion-Weighted MR Imaging (DWI) in Spinal Cord Ischemia.” Neuroradiology 48, no 11 (November 2006): 795–801

3 Weidauer, Stefan, Michael Nichtweiss, Heinrich Lanfermann, and Friedhelm E Zanella “Spinal Cord Infarction: MR Imaging and Clinical Features in 16 Cases ” Neuroradiology 44 no 10 (October 2002): 851–57

MR Imaging and Clinical Features in 16 Cases Neuroradiology 44, no 10 (October 2002): 851 57

4 Alblas, Cornelis L., Willem H Bouvy, Geert J Lycklama Nijeholt, and Jelis Boiten “Acute Spinal-Cord Ischemia: Evolution of MRI Findings.” Journal of Clinical Neurology (Seoul, Korea) 8, no (September 2012): 218–23 Shanmuganathan, K., R P Gullapalli, J Zhuo, and S E Mirvis “Diffusion Tensor MR Imaging in Cervical Spine

Trauma.” American Journal of Neuroradiology 29, no (April 1, 2008): 655–59

6 Chang, Yongmin, Tae-Du Jung, Dong Soo Yoo, and Jung Keun Hyun “Diffusion Tensor Imaging and Fiber Tractography of Patients with Cervical Spinal Cord Injury.” Journal of Neurotrauma 27, no 11 (September 7, 2010): 2033–40

7 Kim, J, Moritani T “MRI diagnosis of spinal cord lesions with emphasis on diffusion-weighted imaging: characteristic findings, differential diagnoses and imaging pitfalls.” Electronic Presentation Online System, European Congress of Radiology 2012 Poster No.: C-1924 doi: 10.1594/ecr2012/C-1924

8 Setzer, Matthias, Ryan D Murtagh, F Reed Murtagh, Mohammed Eleraky, Surbhi Jain, Gerhard Marquardt, Volker Seifert and Frank D Vrionis “Diffusion Tensor Imaging Tractography in Patients with Intramedullary Tumors: Seifert, and Frank D Vrionis Diffusion Tensor Imaging Tractography in Patients with Intramedullary Tumors: Comparison with Intraoperative Findings and Value for Prediction of Tumor Resectability.” Journal of Neurosurgery: Spine 13, no (September 1, 2010): 371–80

9 Ducreux, D., J.-F Lepeintre, P Fillard, C Loureiro, M Tadié, and P Lasjaunias “MR Diffusion Tensor Imaging and Fiber Tracking in Spinal Cord Astrocytomas.” American Journal of Neuroradiology 27, no (January 1, 2006): 214–16

10 Vedantam, Aditya, Michael B Jirjis, Brian D Schmit, Marjorie C Wang, John L Ulmer, and Shekar N Kurpad “Characterization and Limitations of Diffusion Tensor Imaging Metrics in the Cervical Spinal Cord in Neurologically Intact Subjects.” Journal of Magnetic Resonance Imaging: JMRI 38, no (October 2013): 861–67

(11) hinhanhykhoa.com

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