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Journal articles on the topic 'Diffusion tendor imaging'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Soni, PK, and Saurabh Kumar Sahu. "Fractional Anisotropy and Apparent Diffusion Coefficient values on Diffusor Tensor Imaging in Parkinson’s Disease: A case-control study." International Journal of Neurology and Neurosurgery 11, no. 3 (2019): 223–28. http://dx.doi.org/10.21088/ijnns.0975.0223.11319.9.

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Im, In-Chul, Eun-Hoe Goo, and Jae-Seung Lee. "Evaluation of the Neural Fiber Tractography Associated with Aging in the Normal Corpus Callosum Using the Diffusion Tensor Imaging (DTI)." Journal of the Korean Society of Radiology 5, no. 4 (August 30, 2011): 189–94. http://dx.doi.org/10.7742/jksr.2011.5.4.189.

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3

Mori, Harushi. "Diffusion tensor imaging." Rinsho Shinkeigaku 48, no. 11 (2008): 945–46. http://dx.doi.org/10.5692/clinicalneurol.48.945.

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Sener, Süleyman, Wim Van Hecke, Bart F. E. Feyen, Gregory Van der Steen, Pim Pullens, Luc Van de Hauwe, Tomas Menovsky, Paul M. Parizel, Philippe G. Jorens, and Andrew I. R. Maas. "Diffusion Tensor Imaging." Neurosurgery 79, no. 6 (June 26, 2016): 786–93. http://dx.doi.org/10.1227/neu.0000000000001325.

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Abstract BACKGROUND: A great need exists in traumatic brain injury (TBI) and aneurysmal subarachnoid hemorrhage (aSAH) for objective biomarkers to better characterize the disease process and to serve as early endpoints in clinical studies. Diffusion tensor imaging (DTI) has shown promise in TBI, but much less is known about aSAH. OBJECTIVE: To explore the use of whole-brain DTI tractography in TBI and aSAH as a biomarker and early endpoint. METHODS: Of a cohort of 43 patients with severe TBI (n = 20) or aSAH (n = 23) enrolled in a prospective, observational, multimodality monitoring study, DTI data were acquired at approximately day 12 (median, 12 days; interquartile range, 12-14 days) after injury in 22 patients (TBI, n = 12; aSAH, n = 10). Whole-brain DTI tractography was performed, and the following parameters quantified: average fractional anisotropy, mean diffusivity, tract length, and the total number of reconstructed fiber tracts. These were compared between TBI and aSAH patients and correlated with mortality and functional outcome assessed at 6 months by the Glasgow Outcome Scale Extended. RESULTS: Significant differences were found for fractional anisotropy values (P = .01), total number of tracts (P = .03), and average tract length (P = .002) between survivors and nonsurvivors. A sensitivity analysis showed consistency of results between the TBI and aSAH patients for the various DTI measures. CONCLUSION: DTI parameters, assessed at approximately day 12 after injury, correlated with mortality at 6 months in patients with severe TBI or aSAH. Similar patterns were found for both TBI and aSAH patients. This supports a potential role of DTI as early endpoint for clinical studies and a predictor of late mortality.

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CASCIO, CARISSA J., GUIDO GERIG, and JOSEPH PIVEN. "Diffusion Tensor Imaging." Journal of the American Academy of Child & Adolescent Psychiatry 46, no. 2 (February 2007): 213–23. http://dx.doi.org/10.1097/01.chi.0000246064.93200.e8.

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6

Rovaris, Marco, Federica Agosta, Elisabetta Pagani, and Massimo Filippi. "Diffusion Tensor MR Imaging." Neuroimaging Clinics of North America 19, no. 1 (February 2009): 37–43. http://dx.doi.org/10.1016/j.nic.2008.08.001.

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Ulmer, John L., Andrew P. Klein, Wade M. Mueller, Edgar A. DeYoe, and Leighton P. Mark. "Preoperative Diffusion Tensor Imaging." Neuroimaging Clinics of North America 24, no. 4 (November 2014): 599–617. http://dx.doi.org/10.1016/j.nic.2014.08.002.

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8

Topgaard, Daniel. "Diffusion tensor distribution imaging." NMR in Biomedicine 32, no. 5 (February 7, 2019): e4066. http://dx.doi.org/10.1002/nbm.4066.

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9

Diehl, Beate, Mark R. Symms, Philip A. Boulby, Tuuli Salmenpera, Claudia A. M. Wheeler-Kingshott, Gareth J. Barker, and John S. Duncan. "Postictal diffusion tensor imaging." Epilepsy Research 65, no. 3 (July 2005): 137–46. http://dx.doi.org/10.1016/j.eplepsyres.2005.05.007.

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10

Glasier, Charles M. "Pediatric diffusion and diffusion tensor imaging." Pediatric Radiology 37, no. 8 (June 28, 2007): 733. http://dx.doi.org/10.1007/s00247-007-0466-5.

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11

Özarslan, Evren, and Thomas H. Mareci. "Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging." Magnetic Resonance in Medicine 50, no. 5 (October 24, 2003): 955–65. http://dx.doi.org/10.1002/mrm.10596.

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12

Maximov, Ivan I., Farida Grinberg, and N. Jon Shah. "Robust tensor estimation in diffusion tensor imaging." Journal of Magnetic Resonance 213, no. 1 (December 2011): 136–44. http://dx.doi.org/10.1016/j.jmr.2011.09.035.

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13

Kim, Hyun Jeong, Choong Gon Choi, Jeong Hyun Lee, Po Song Yang, Siwon Kang, Yeon Soo Lee, Ji Chang Kim, and Bo Seal Hwang. "Brain Diffusion Tensor MR Imaging." Journal of the Korean Radiological Society 53, no. 4 (2005): 233. http://dx.doi.org/10.3348/jkrs.2005.53.4.233.

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14

Fernandez-Miranda, Juan C. "Editorial: Beyond diffusion tensor imaging." Journal of Neurosurgery 118, no. 6 (June 2013): 1363–66. http://dx.doi.org/10.3171/2012.10.jns121800.

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15

Skorpil, Mikael, Magnus Karlsson, and Anders Nordell. "Peripheral nerve diffusion tensor imaging." Magnetic Resonance Imaging 22, no. 5 (June 2004): 743–45. http://dx.doi.org/10.1016/j.mri.2004.01.073.

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16

Shaikh, Sikander, Anjani Kumar, and Abhishek Bansal. "Diffusion tensor imaging: An overview." Neurology India 66, no. 6 (2018): 1603. http://dx.doi.org/10.4103/0028-3886.246233.

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17

Sullivan, Edith V., and Adolf Pfefferbaum. "Diffusion tensor imaging and aging." Neuroscience & Biobehavioral Reviews 30, no. 6 (January 2006): 749–61. http://dx.doi.org/10.1016/j.neubiorev.2006.06.002.

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18

Meerschaert, Mark M., Richard L. Magin, and Allen Q. Ye. "Anisotropic fractional diffusion tensor imaging." Journal of Vibration and Control 22, no. 9 (February 17, 2015): 2211–21. http://dx.doi.org/10.1177/1077546314568696.

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19

Kenkel, David, Jochen von Spiczak, Moritz C. Wurnig, Lukas Filli, Günter Steidle, Michael Wyss, and Andreas Boss. "Whole-Body Diffusion Tensor Imaging." Journal of Computer Assisted Tomography 40, no. 1 (2016): 183–88. http://dx.doi.org/10.1097/rct.0000000000000324.

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20

Cole, Justin T., Nicholas A. Dewyer, Lorenz Epprecht, Katherine L. Reinshagen, Frederick G. Barker, and Daniel J. Lee. "Diffusion Tensor Magnetic Resonance Imaging." Otology & Neurotology 41, no. 1 (January 2020): e146-e148. http://dx.doi.org/10.1097/mao.0000000000002435.

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21

Tournier, Jacques-Donald, Susumu Mori, and Alexander Leemans. "Diffusion tensor imaging and beyond." Magnetic Resonance in Medicine 65, no. 6 (April 5, 2011): 1532–56. http://dx.doi.org/10.1002/mrm.22924.

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22

Douglas, David B., Michael Iv, Pamela K. Douglas, Ariana Anderson, Sjoerd B. Vos, Roland Bammer, Michael Zeineh, and Max Wintermark. "Diffusion Tensor Imaging of TBI." Topics in Magnetic Resonance Imaging 24, no. 5 (October 2015): 241–51. http://dx.doi.org/10.1097/rmr.0000000000000062.

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23

Gulani, Vikas, and Pia C. Sundgren. "Diffusion Tensor Magnetic Resonance Imaging." Journal of Neuro-Ophthalmology 26, no. 1 (March 2006): 51–60. http://dx.doi.org/10.1097/01.wno.0000205978.86281.3e.

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24

Lagopoulos, Jim. "Diffusion tensor imaging: an overview." Acta Neuropsychiatrica 19, no. 2 (April 2007): 127–28. http://dx.doi.org/10.1111/j.1601-5215.2007.00197.x.

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25

Preisner, Fabian, Philipp Bäumer, Michaela Wehrstein, Birgit Friedmann-Bette, Matthes Hackbusch, Sabine Heiland, Martin Bendszus, and Moritz Kronlage. "Peripheral Nerve Diffusion Tensor Imaging." Clinical Neuroradiology 30, no. 4 (December 5, 2019): 679–89. http://dx.doi.org/10.1007/s00062-019-00859-0.

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26

Cantor, James M., Sophie Lafaille, Debra W. Soh, Massieh Moayedi, David J. Mikulis, and Todd A. Girard. "Diffusion Tensor Imaging of Pedophilia." Archives of Sexual Behavior 44, no. 8 (October 22, 2015): 2161–72. http://dx.doi.org/10.1007/s10508-015-0629-7.

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27

Kyriakopoulos, Marinos, Theodoros Bargiotas, Gareth J. Barker, and Sophia Frangou. "Diffusion tensor imaging in schizophrenia." European Psychiatry 23, no. 4 (June 2008): 255–73. http://dx.doi.org/10.1016/j.eurpsy.2007.12.004.

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AbstractDiffusion tensor imaging (DTI) is a magnetic resonance imaging technique that is increasingly being used for the non-invasive evaluation of brain white matter abnormalities. In this review, we discuss the basic principles of DTI, its roots and the contribution of European centres in its development, and we review the findings from DTI studies in schizophrenia. We searched EMBASE, PubMed, PsychInfo, and Medline from February 1998 to December 2006 using as keywords ‘schizophrenia’, ‘diffusion’, ‘tensor’, and ‘DTI’. Forty studies fulfilling the inclusion criteria of this review were included and systematically reviewed. White matter abnormalities in many diverse brain regions were identified in schizophrenia. Although the findings are not completely consistent, frontal and temporal white matter seems to be more commonly affected. Limitations and future directions of this method are discussed.

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Kanaan, Richard A. A., Jin-Suh Kim, Walter E. Kaufmann, Godfrey D. Pearlson, Gareth J. Barker, and Philip K. McGuire. "Diffusion Tensor Imaging in Schizophrenia." Biological Psychiatry 58, no. 12 (December 2005): 921–29. http://dx.doi.org/10.1016/j.biopsych.2005.05.015.

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29

Buchsbaum, Monte S., Joseph Friedman, Bradley R. Buchsbaum, King-Wai Chu, Erin A. Hazlett, Randall Newmark, Jason S. Schneiderman, et al. "Diffusion Tensor Imaging in Schizophrenia." Biological Psychiatry 60, no. 11 (December 2006): 1181–87. http://dx.doi.org/10.1016/j.biopsych.2005.11.028.

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30

Alger, J. R. "The Diffusion Tensor Imaging Toolbox." Journal of Neuroscience 32, no. 22 (May 30, 2012): 7418–28. http://dx.doi.org/10.1523/jneurosci.4687-11.2012.

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31

Sarman, Hakan, Halil Atmaca, Ozgur Cakir, Umit Sefa Muezzinoglu, Yonca Anik, Kaya Memisoglu, Tuncay Baran, and Cengiz Isik. "Assessment of Postoperative Tendon Quality in Patients With Achilles Tendon Rupture Using Diffusion Tensor Imaging and Tendon Fiber Tracking." Journal of Foot and Ankle Surgery 54, no. 5 (September 2015): 782–86. http://dx.doi.org/10.1053/j.jfas.2014.12.025.

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32

Davis, Timothy L., and David S. Tuch. "Diffusion Tensor MRI Methods: Historical Perspective and New Directions." CNS Spectrums 7, no. 7 (July 2002): 505–9. http://dx.doi.org/10.1017/s1092852900018058.

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ABSTRACTThis article will briefly review the history of diffusion physics and diffusion imaging beginning with Brown's initial observations of the diffusion phenomenon in the early part of the 19th century, through the development of diffusion-weighted imaging, and diffusion tensor imaging. The basic principles and limitations of diffusion tensor imaging are discussed. We conclude by reflecting on some of the open interpretative questions in diffusion imaging.

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33

Cheng Guan Koay, Lin-Ching Chang, C. Pierpaoli, and P. C. J. Basser. "Error Propagation Framework for Diffusion Tensor Imaging via Diffusion Tensor Representations." IEEE Transactions on Medical Imaging 26, no. 8 (August 2007): 1017–34. http://dx.doi.org/10.1109/tmi.2007.897415.

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34

de Figueiredo, Eduardo H. M. S. G., Arthur F. N. G. Borgonovi, and Thomas M. Doring. "Basic Concepts of MR Imaging, Diffusion MR Imaging, and Diffusion Tensor Imaging." Magnetic Resonance Imaging Clinics of North America 19, no. 1 (February 2011): 1–22. http://dx.doi.org/10.1016/j.mric.2010.10.005.

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35

Zellers, Jennifer A., Masoud Edalati, Jeremy Eekhoff, Spencer P. Lake, Jie Zheng, and Mary K. Hastings. "Relationship Between Ex Vivo Tissue Diffusion Tensor Indexes and Material Properties in Posterior Tibialis Tendon." Foot & Ankle Orthopaedics 4, no. 4 (October 1, 2019): 2473011419S0045. http://dx.doi.org/10.1177/2473011419s00455.

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Category: Ankle, tendon imaging Introduction/Purpose: Posterior tibialis tendon is of clinical importance in the development and progression of acquired flatfoot and other midfoot deformity. The ability to quantitatively evaluate tendon tissue non-invasively would enable assessment of tendon health status and tracking of recovery from injury. Magnetic resonance diffusion tensor imaging (DTI) has been used to examine tendon tissue organization in healing tendon tissue. However, the relationship of DTI-based measures to tendon mechanical function has not been established. The purpose of this pilot study was to quantitatively evaluate posterior tibialis tendon using DTI and determine the relationship of these parameters to tendon function assessed via ex vivo mechanical testing. Methods: Posterior tibialis tendons from individuals undergoing amputation were positioned vertically in an agarose mold filled with saline for imaging. High resolution diffusion imaging parameters were optimized for tendon on a 3 T MRI to acquire 13 6-mm transverse slices covering the length: 1mm2 isotropic resolution, 2 signal averaging, repetition/echo times of 5000/58 ms, diffusion strength of 500s/mm2 with 30 gradient directions, scan time 5 min. Diffusion images had sufficient quality and were corrected for motion and image distortion. DTI parametric maps including fractional anisotropy (FA), mean, axial, and radial diffusivities (MD, AD, and RD; mm2/s) were calculated along with fiber tracking indexes of fiber length (mm) and density. After imaging, specimens were preloaded to 10 Newtons, preconditioned 10 cycles at 6% strain, subjected to stress-relaxation at 6% strain (10 minutes), then loaded to a maximum of 10% strain. Relationships between DTI indexes and mechanical properties (stiffness and hysteresis) were evaluated using Spearman correlation. Results: Six individuals (4 male, mean(SD) age: 56(5)years, body mass index: 30(6) kg/m2) were included. Reason for amputation was diabetes-related complications in 5 participants and failed orthopaedic surgery in 1 participant. In DTI (Figure 1A), tendons had a tract length of 11.5(11.3)mm and tract density of 23.9(2.4) per ROI. FA, MD, AD, and RD quantify how freely a water molecule is able to move within the tissue, and the directionality of that movement. Tendons had an FA of 0.26(0.25), MD of 1.25(1.28), AD of 1.54(1.57), and RD of 1.11(1.14). Tract length was positively related to linear stiffness (rho=0.829, p=0.04) and hysteresis at 10% strain (rho=0.886, p=0.019) (Figure 1B-D). AD was positively related to hysteresis at 10% strain (rho=0.812, p=0.05). Conclusion: This is the first study to describe posterior tibialis tendon appearance on DTI. Tract length and AD are both related to tendon mechanics. Tract length is based on quantity and directionality of water displacement and may indicate degree of collagen organization given its relationship to stiffness. Tract length and AD related positively to hysteresis, which will require additional research to identify the mechanisms behind this relationship. This study is limited by sample size and specimens that likely do not represent healthy tissue. Regardless, these findings support continued investigation into in vivo imaging of tendon with DTI for quantitative tendon assessment.

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Ng, Wai Hoe, Dennis Lai-Hong Cheong, Kathleen Joy Khu, Govidasamy Venkatesh, Yee Kong Ng, and C. C. Tchoyoson Lim. "DIFFUSION TENSOR TRACTOGRAPHY." Neurosurgery 63, no. 3 (September 1, 2008): 452–59. http://dx.doi.org/10.1227/01.neu.0000325259.95571.20.

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ABSTRACT OBJECTIVE Benign extracerebral lesions such as meningiomas may cause hemiparesis by compression and deviation without infiltrating the white matter. We used magnetic resonance diffusion tensor imaging and diffusion tensor tractography to investigate the effects of benign extracerebral lesions on the corticospinal tract (CST). METHODS Thirteen patients with extracerebral lesions (11 benign meningiomas and 2 benign cysts) underwent magnetic resonance diffusion tensor imaging and diffusion tensor tractography of the CST using fiber assignment by continuous tractography. The CST was reconstructed and assessed by comparing the ipsilateral and unaffected contralateral fibers. The tumor volume, relative fractional anisotropy, fiber deviation, relative fiber number, and relative fiber per voxel were compared between patients without and with temporary presurgical hemiparesis. RESULTS Seven patients without hemiparesis and five patients with temporary hemiparesis were analyzed; one patient had permanent weakness and was excluded from analysis. There was no significant difference in the tumor volume, relative fractional anisotropy, presence of cerebral edema, or CST deviation between groups. In patients with temporary hemiparesis, the median relative fiber number (mean, 0.35 ± 0.32) and relative fiber per voxel (mean, 0.49 ± 0.14) were significantly reduced compared with patients without hemiparesis (0.92 ± 0.55, P = 0.04; and 0.96 ± 0.28, P < 0.01, respectively). CONCLUSION In patients with benign extracerebral lesions, reduction in fiber number and fiber per voxel, but not fiber deviation, correlated with temporary hemiparesis. Clinical recovery was possible even if the CST fibers detected by diffusion tensor tractography were reduced by benign extracerebral lesions.

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Perri, Marco, Marialuisa D’Elia, Giulia Castorani, Rosario Francesco Balzano, Annamaria Pennelli, Bilal Al-Badayneh, Annunziata Russo, Giuseppe Guglielmi, and Teresa Popolizio. "Assessment of lumbar disc herniaton using fractional anisotropy in diffusion tensor imaging along with conventional T2-weighted imaging." Neuroradiology Journal 33, no. 1 (November 27, 2019): 24–31. http://dx.doi.org/10.1177/1971400919891288.

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Objective To assess the usefulness of diffusion tensor imaging and its fractional anisotropy map along with conventional T2-weighted imaging in evaluating the anisotropic water diffusion variations of annulus fibres involved in herniation disc pathology. Materials and methods Seventy-five patients with previous medical ethics committee approval and informed consent experiencing low back pain were selected for this prospective randomised blinded trial. Lumbar disc fractional anisotropy maps were obtained acquiring diffusion tensor sequences on a 3T machine. The matrix of nucleus pulposus and structures of annulus fibres were analysed using fractional anisotropy textural features to highlight any presence of lumbar disc herniation. Observer variability and reliability between two neuroradiologists were evaluated. The χ2 test, two-tailed t test and linear regression analysis were used to focus differences in patients’ demographic data and magnetic resonance imaging findings. Results Annular fissures with extrusions were identified using diffusion tensor imaging in 10 out of 17 discs (study group) previously assessed as bulging discs using conventional magnetic resonance imaging. Eighteen extrusions out of 39 (study group) disc levels were identified on diffusion tensor imaging compared to eight extrusions highlighted on T2-weighted imaging ( P < 0.01). All eight (study group) disc extrusions evaluated on T2-weighted imaging showed annular fissures on diffusion tensor imaging. Seven out of 14 (study group) protrusions highlighted on T2-weighted imaging had no annular fissures on diffusion tensor imaging; thirty-six disc levels in the control group had no evidence of annular fissures on diffusion tensor imaging ( P > 0.01). Conclusions The addition of diffusion tensor imaging sequences and fractional anisotropy mapping to a conventional magnetic resonance imaging protocol could be useful in detecting annular fissures and lumbar disc herniation.

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Gerstner, Elizabeth R., and A. Gregory Sorensen. "Diffusion and Diffusion Tensor Imaging in Brain Cancer." Seminars in Radiation Oncology 21, no. 2 (April 2011): 141–46. http://dx.doi.org/10.1016/j.semradonc.2010.10.005.

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39

ANDICA, CHRISTINA, ASAMI SAITO, SYO MURATA, AKI HATTORI, YUTAKA IKENOUCHI, MASAAKI HORI, and SHIGEKI AOKI. "Diffusion Magnetic Resonance Imaging: From Isotropic Diffusion-Weighted Imaging to Diffusion Tensor Imaging and Beyond." Juntendo Medical Journal 63, no. 4 (2017): 285–92. http://dx.doi.org/10.14789/jmj.63.285.

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40

Gerner, Gwendolyn J., Eric I. Newman, V. Joanna Burton, Brenton Roman, Elizabeth A. Cristofalo, Mary Leppert, Michael V. Johnston, Frances J. Northington, Thierry A. G. M. Huisman, and Andrea Poretti. "Correlation Between White Matter Injury Identified by Neonatal Diffusion Tensor Imaging and Neurodevelopmental Outcomes Following Term Neonatal Asphyxia and Therapeutic Hypothermia: An Exploratory Pilot Study." Journal of Child Neurology 34, no. 10 (May 9, 2019): 556–66. http://dx.doi.org/10.1177/0883073819841717.

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Aim: Hypoxic-ischemic encephalopathy is associated with damage to deep gray matter; however, white matter involvement has become recognized. This study explored differences between patients and clinical controls on diffusion tensor imaging, and relationships between diffusion tensor imaging and neurodevelopmental outcomes. Method: Diffusion tensor imaging was obtained for 31 neonates after hypoxic-ischemic encephalopathy treated with therapeutic hypothermia and 10 clinical controls. A subgroup of patients with hypoxic-ischemic encephalopathy (n = 14) had neurodevelopmental outcomes correlated with diffusion tensor imaging scalars. Results: Group differences in diffusion tensor imaging scalars were observed in the putamen, anterior and posterior centrum semiovale, and the splenium of the corpus callosum. Differences in these regions of interest were correlated with neurodevelopmental outcomes between ages 20 and 32 months. Conclusion: Therapeutic hypothermia may not be a complete intervention for hypoxic-ischemic encephalopathy, as neonatal white matter changes may continue to be evident, but further research is warranted. Patterns of white matter change on neonatal diffusion tensor imaging correlated with neurodevelopmental outcomes in this exploratory pilot study.

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Ito, Shoichi. "Progressive Supranuclear Palsy and Diffusion Tensor Imaging." European Neurological Review 4, no. 2 (2009): 108. http://dx.doi.org/10.17925/enr.2009.04.02.108.

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Progressive supranuclear palsy (PSP) is a neurodegenerative disease affecting multiple neural systems, particularly the extrapyramidal system. Early differentiation of PSP from other diseases mainly featuring parkinsonism, such as Parkinson's disease and multiple system atrophy, is necessary because the therapeutic strategy and outcome are substantially different. Diffusion tensor imaging is a recently developed magnetic resonance imaging (MRI) sequence that is able to non-invasively evaluate neural tracts. Two approaches may be used to measure diffusion properties. One approach is to measure diffusion properties by setting the regions of interest on circular/square regions or along the tractography. The other approach is to perform voxel-by-voxel analysis of the diffusion properties. There are several reports evaluating diffusion tensor abnormalities in PSP, and regions with diffusion tensor abnormlities are distributed through frontal projection fibres, the anterior part of the corpus callosum, superior longitudinal fasciculus, arcuate fasciculus, posterior thalamic radiations, internal capsule and superior cerebellar peduncles. Here, diffusion tensor studies in PSP are reviewed and clinical applications, limitations and future perspectives of diffusion tensor analysis in PSP are discussed.

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Lee, Sang Yoon, Si Hyun Kang, Don-Kyu Kim, Kyung Mook Seo, Hee Joon Ro, and Jae Kyun Kim. "Changes in the corticospinal tract after wearing prosthesis in bilateral transtibial amputation." Prosthetics and Orthotics International 41, no. 5 (January 17, 2017): 507–11. http://dx.doi.org/10.1177/0309364616684216.

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Background:After amputation, the brain is known to be reorganized especially in the primary motor cortex. We report a case to show changes in the corticospinal tract in a patient with serial bilateral transtibial amputations using diffusion tensor imaging.Case Description and Methods:A 78-year-old man had a transtibial amputation on his left side in 2008 and he underwent a right transtibial amputation in 2011. An initial brain magnetic resonance imaging with a diffusion tensor imaging was performed before starting rehabilitation on his right transtibial prosthesis, and a follow-up magnetic resonance imaging with diffusion tensor imaging was performed 2 years after this.Findings and Outcomes:In the initial diffusion tensor imaging, the number of fiber lines in his right corticospinal tract was larger than that in his left corticospinal tract. At follow-up diffusion tensor imaging, there was no definite difference in the number of fiber lines between both corticospinal tracts.Conclusion:We found that side-to-side corticospinal tract differences were equalized after using bilateral prostheses.Clinical relevanceThis case report suggests that diffusion tensor imaging tractography could be a useful method to understand corticomotor reorganization after using prosthesis in transtibial amputation.

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43

Özcan, Alpay. "Characterization of imaging gradients in diffusion tensor imaging." Journal of Magnetic Resonance 207, no. 1 (November 2010): 24–33. http://dx.doi.org/10.1016/j.jmr.2010.08.007.

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44

Saksena, Sona, Ram K. S. Rathore, and Rakesh K. Gupta. "Clinical Applications of Diffusion Tensor Imaging." Magnetic Resonance Insights 2 (January 2008): MRI.S952. http://dx.doi.org/10.4137/mri.s952.

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45

Poretti, A., E. Boltshauser, T. Loenneker, E. M. Valente, F. Brancati, K. Il'Yasov, and T. A. G. M. Huisman. "Diffusion Tensor Imaging in Joubert Syndrome." American Journal of Neuroradiology 28, no. 10 (November 1, 2007): 1929–33. http://dx.doi.org/10.3174/ajnr.a0703.

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46

Bulakbaşı, Nail. "Diffusion-tensor imaging in brain tumors." Imaging in Medicine 1, no. 2 (December 2009): 155–71. http://dx.doi.org/10.2217/iim.09.20.

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47

Rugg-Gunn, Fergus J., Sofia H. Eriksson, Mark R. Symms, Gareth J. Barker, Maria Thom, William Harkness, and John S. Duncan. "Diffusion tensor imaging in refractory epilepsy." Lancet 359, no. 9319 (May 2002): 1748–51. http://dx.doi.org/10.1016/s0140-6736(02)08615-4.

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Alexander, Andrew L., Jee Eun Lee, Mariana Lazar, and Aaron S. Field. "Diffusion tensor imaging of the brain." Neurotherapeutics 4, no. 3 (July 2007): 316–29. http://dx.doi.org/10.1016/j.nurt.2007.05.011.

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Hrdlicka, M., J. Sanda, T. Urbanek, I. Dudova, S. Beranova, L. Pospisilova, M. Mohaplova, et al. "Diffusion tensor imaging in neurodevelopmental disorders." European Neuropsychopharmacology 29 (2019): S438—S439. http://dx.doi.org/10.1016/j.euroneuro.2018.11.661.

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Lyons, Jennifer L., Martha R. Neagu, Isaiah H. Norton, and Joshua P. Klein. "Diffusion tensor imaging in brainstem tuberculoma." Journal of Clinical Neuroscience 20, no. 11 (November 2013): 1598–99. http://dx.doi.org/10.1016/j.jocn.2013.01.003.

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