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      Comparison of probabilistic tractography and tract-based spatial statistics for assessing optic radiation damage in patients with autoimmune inflammatory disorders of the central nervous system

      research-article
      a , b , 1 , c , 1 , a , c , a , d , b , a , b , d , * , c , a , e , 2 , a , 2
      NeuroImage : Clinical
      Elsevier
      AD, axial diffusivity, AUC, area under the curve, CIS, clinically isolated syndrome, CON, Contrack, CSD, constrained spherical deconvolution, DTI, diffusion tensor imaging, DWI, diffusion weighted imaging, DW-MRI, diffusion weighted magnetic resonance imaging, FA, fractional anisotropy, FOD, fiber orientation distribution, HC, Healthy Control, JHU, Johns Hopkins University DTI white matter atlas, JUEL, Juelich histological atlas, LGN, lateral geniculate nucleus, MD, mean diffusivity, MS, multiple sclerosis, NMOSD, neuromyelitis optica spectrum disorder, OCT, optical coherence tomography, ON, optic neuritis, OR, optic radiation, PROB, probabilistic tractography, RD, radial diffusivity, RNFL, retinal nerve fiber layer thickness, ROC, receiver operating characteristic, ROI, region of interest, RRMS, relapsing-remitting multiple sclerosis, SD, standard deviation, SEM, standard error of the mean, TBSS, tract-based spatial statistics, DTI, Neuromyelitis optica, Multiple sclerosis, TBSS, Probabilistic tractography, Optic radiation

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          Abstract

          Background

          Diffusion Tensor Imaging (DTI) can evaluate microstructural tissue damage in the optic radiation (OR) of patients with clinically isolated syndrome (CIS), early relapsing-remitting multiple sclerosis and neuromyelitis optica spectrum disorders (NMOSD). Different post-processing techniques, e.g. tract-based spatial statistics (TBSS) and probabilistic tractography, exist to quantify this damage.

          Objective

          To evaluate the capacity of TBSS-based atlas region-of-interest (ROI) combination with 1) posterior thalamic radiation ROIs from the Johns Hopkins University atlas (JHU-TBSS), 2) Juelich Probabilistic ROIs (JUEL-TBSS) and tractography methods using 3) ConTrack (CON-PROB) and 4) constrained spherical deconvolution tractography (CSD-PROB) to detect OR damage in patients with a) NMOSD with prior ON (NMOSD-ON), b) CIS and early RRMS patients with ON (CIS/RRMS-ON) and c) CIS and early RRMS patients without prior ON (CIS/RRMS-NON) against healthy controls (HCs).

          Methods

          Twenty-three NMOSD-ON, 18 CIS/RRMS-ON, 21 CIS/RRMS-NON, and 26 HCs underwent 3 T MRI. DTI data analysis was carried out using JUEL-TBSS, JHU-TBSS, CON-PROB and CSD-PROB. Optical coherence tomography (OCT) and visual acuity testing was performed in the majority of patients and HCs.

          Results

          Absolute OR fractional anisotropy (FA) values differed between all methods but showed good correlation and agreement in Bland-Altman analysis. OR FA values between NMOSD and HC differed throughout the methodologies (p-values ranging from p < 0.0001 to 0.0043). ROC-analysis and effect size estimation revealed higher AUCs and R 2 for CSD-PROB (AUC = 0.812; R 2 = 0.282) and JHU-TBSS (AUC = 0.756; R 2 = 0.262), compared to CON-PROB (AUC = 0.742; R 2 = 0.179) and JUEL-TBSS (AUC = 0.719; R 2 = 0.161). Differences between CIS/RRMS-NON and HC were only observable in CSD-PROB (AUC = 0.796; R 2 = 0.094). No significant differences between CIS/RRMS-ON and HC were detected by any of the methods.

          Conclusions

          All DTI post-processing techniques facilitated the detection of OR damage in patient groups with severe microstructural OR degradation. The comparison of distinct disease groups by use of different methods may lead to different - either false-positive or false-negative - results. Since different DTI post-processing approaches seem to provide complementary information on OR damage, application of distinct methods may depend on the relevant research question.

          Highlights

          • We describe a fully-automated optic radiation probabilistic tractography approach (CSD-PROB) that is feasible in healthy controls and patients with neuroimmunological diseases.

          • We demonstrate CSD-PROB to yield superior sensitivity and specificity in differentiating NMOSD from healthy controls compared to TBSS-based optic radiation ROI methods and ConTrack-based probabilistic tractography.

          • CSD-PROB shows significant differences between healthy controls and patients with clinically isolated syndrome and early multiple sclerosis without prior optic neuritis.

          • The comparison of different subject groups by use of different DWI post-processing methods may lead to either false-positive or false-negative results, which may be of particular significance for future optic radiation DTI comparison in studies and meta-analyses.

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          Most cited references41

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          Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution.

          Diffusion-weighted (DW) MR images contain information about the orientation of brain white matter fibres that potentially can be used to study human brain connectivity in vivo using tractography techniques. Currently, the diffusion tensor model is widely used to extract fibre directions from DW-MRI data, but fails in regions containing multiple fibre orientations. The spherical deconvolution technique has recently been proposed to address this limitation. It provides an estimate of the fibre orientation distribution (FOD) by assuming the DW signal measured from any fibre bundle is adequately described by a single response function. However, the deconvolution is ill-conditioned and susceptible to noise contamination. This tends to introduce artefactual negative regions in the FOD, which are clearly physically impossible. In this study, the introduction of a constraint on such negative regions is proposed to improve the conditioning of the spherical deconvolution. This approach is shown to provide FOD estimates that are robust to noise whilst preserving angular resolution. The approach also permits the use of super-resolution, whereby more FOD parameters are estimated than were actually measured, improving the angular resolution of the results. The method provides much better defined fibre orientation estimates, and allows orientations to be resolved that are separated by smaller angles than previously possible. This should allow tractography algorithms to be designed that are able to track reliably through crossing fibre regions.
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            Resolving crossing fibres using constrained spherical deconvolution: validation using diffusion-weighted imaging phantom data.

            Diffusion-weighted imaging can potentially be used to infer the connectivity of the human brain in vivo using fibre-tracking techniques, and is therefore of great interest to neuroscientists and clinicians. A key requirement for fibre tracking is the accurate estimation of white matter fibre orientations within each imaging voxel. The diffusion tensor model, which is widely used for this purpose, has been shown to be inadequate in crossing fibre regions. A number of approaches have recently been proposed to address this issue, based on high angular resolution diffusion-weighted imaging (HARDI) data. In this study, an experimental model of crossing fibres, consisting of water-filled plastic capillaries, is used to thoroughly assess three such techniques: constrained spherical deconvolution (CSD), super-resolved CSD (super-CSD) and Q-ball imaging (QBI). HARDI data were acquired over a range of crossing angles and b-values, from which fibre orientations were computed using each technique. All techniques were capable of resolving the two fibre populations down to a crossing angle of 45 degrees , and down to 30 degrees for super-CSD. A bias was observed in the fibre orientations estimated by QBI for crossing angles other than 90 degrees, consistent with previous simulation results. Finally, for a 45 degrees crossing, the minimum b-value required to resolve the fibre orientations was 4000 s/mm(2) for QBI, 2000 s/mm(2) for CSD, and 1000 s/mm(2) for super-CSD. The quality of estimation of fibre orientations may profoundly affect fibre tracking attempts, and the results presented provide important additional information regarding performance characteristics of well-known methods.
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              • Article: not found

              Diffusion-based tractography in neurological disorders: concepts, applications, and future developments.

              Diffusion-based tractography enables the graphical reconstruction of the white matter pathways in the brain and spinal cord of living humans. This technique has many potential clinical applications, including the investigation of stroke, multiple sclerosis, epilepsy, neurodegenerative diseases, and spinal cord disorders, and it enables hypotheses to be tested that could not previously be considered in living humans. This Review will outline the limitations of tractography, describe its current clinical applications in the most common neurological diseases, and highlight future opportunities.
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                Author and article information

                Contributors
                Journal
                Neuroimage Clin
                Neuroimage Clin
                NeuroImage : Clinical
                Elsevier
                2213-1582
                08 May 2018
                2018
                08 May 2018
                : 19
                : 538-550
                Affiliations
                [a ]Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Neurocure Cluster of Excellence, NeuroCure Clinical Research Center, NCRC Charité, Charitéplatz 1, 10117 Berlin, Germany
                [b ]Department of Neurology, Charité – Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
                [c ]Department of Neurology, The Agnes Ginges Center for Human Neurogenetics, Hadassah-Hebrew-University Medical Center, Kiryat Hadassah Ein kerem, Jerusalem 91120, Israel
                [d ]Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité – Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
                [e ]Department of Neurology, University of California, 1001 Health Sciences Road, Irvine Hall, Irvine, CA 92697, USA
                Author notes
                [* ]Corresponding author at: NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany. friedemann.paul@ 123456charite.de
                [1]

                Equally contributing first authors.

                [2]

                Equally contributing senior authors.

                Article
                S2213-1582(18)30150-5
                10.1016/j.nicl.2018.05.004
                6029567
                29984162
                e03cbbc6-81bc-48cf-8e21-700894e77b71
                © 2018 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 1 February 2018
                : 3 May 2018
                : 6 May 2018
                Categories
                Regular Article

                ad, axial diffusivity,auc, area under the curve,cis, clinically isolated syndrome,con, contrack,csd, constrained spherical deconvolution,dti, diffusion tensor imaging,dwi, diffusion weighted imaging,dw-mri, diffusion weighted magnetic resonance imaging,fa, fractional anisotropy,fod, fiber orientation distribution,hc, healthy control,jhu, johns hopkins university dti white matter atlas,juel, juelich histological atlas,lgn, lateral geniculate nucleus,md, mean diffusivity,ms, multiple sclerosis,nmosd, neuromyelitis optica spectrum disorder,oct, optical coherence tomography,on, optic neuritis,or, optic radiation,prob, probabilistic tractography,rd, radial diffusivity,rnfl, retinal nerve fiber layer thickness,roc, receiver operating characteristic,roi, region of interest,rrms, relapsing-remitting multiple sclerosis,sd, standard deviation,sem, standard error of the mean,tbss, tract-based spatial statistics,dti,neuromyelitis optica,multiple sclerosis,tbss,probabilistic tractography,optic radiation

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