Literature DB >> 21435575

Diffusion tractography: methods, validation and applications in patients with neurosurgical lesions.

Delphine Leclercq1, Christine Delmaire, Nicolas Menjot de Champfleur, Jacques Chiras, Stéphane Lehéricy.   

Abstract

Diffusion tensor imaging (DTI) tractography is increasingly used in presurgical mapping in tumors located in eloquent areas since it is the only non invasive technique that permits in vivo dissection of white matter tracts. Concordance between the DTI tracts and subcortical electrical intraoperative mapping is high, and DTI tractography has proven useful to guide surgery. However, it presents limitations due to the technique and the tumor, which must be known before using the images in the operative room. This review focuses on the possibilities and limits of DTI imaging in intraoperative tumoral mapping and presents an overview of current knowledge.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21435575     DOI: 10.1016/j.nec.2010.11.004

Source DB:  PubMed          Journal:  Neurosurg Clin N Am        ISSN: 1042-3680            Impact factor:   2.509


  16 in total

1.  Comparison of seeding methods for visualization of the corticospinal tracts using single tensor tractography.

Authors:  Alireza Radmanesh; Amir A Zamani; Stephen Whalen; Yanmei Tie; Ralph O Suarez; Alexandra J Golby
Journal:  Clin Neurol Neurosurg       Date:  2014-12-08       Impact factor: 1.876

2.  Presurgical motor, somatosensory and language fMRI: Technical feasibility and limitations in 491 patients over 13 years.

Authors:  Anthony J Tyndall; Julia Reinhardt; Volker Tronnier; Luigi Mariani; Christoph Stippich
Journal:  Eur Radiol       Date:  2016-05-19       Impact factor: 5.315

3.  Comparison of compressed sensing diffusion spectrum imaging and diffusion tensor imaging in patients with intracranial masses.

Authors:  Robert J Young; Ek T Tan; Kyung K Peck; Mehrnaz Jenabi; Sasan Karimi; Nicole Brennan; Jennifer Rubel; John Lyo; Weiji Shi; Zhigang Zhang; Marcel Prastawa; Xiaofeng Liu; Jonathan I Sperl; Robin Fatovic; Luca Marinelli; Andrei I Holodny
Journal:  Magn Reson Imaging       Date:  2016-10-11       Impact factor: 2.546

Review 4.  Clinical application of diffusion tensor imaging and fiber tractography in the management of brainstem cavernous malformations: a systematic review.

Authors:  Marta Rogalska; Lukasz Antkowiak; Marek Mandera
Journal:  Neurosurg Rev       Date:  2022-02-25       Impact factor: 3.042

5.  Quantitative parameters of diffusion tensor imaging in the evaluation of carpal tunnel syndrome.

Authors:  Nhu Quynh Vo; Ngoc Thanh Hoang; Duy Duan Nguyen; Thi Hieu Dung Nguyen; Trong Binh Le; Nghi Thanh Nhan Le; Thanh Thao Nguyen
Journal:  Quant Imaging Med Surg       Date:  2022-06

Review 6.  The Utilization of Diffusion Tensor Imaging as an Image-Guided Tool in Brain Tumor Resection Surgery: A Systematic Review.

Authors:  Aiman Abdul Manan; Noorazrul Yahya; Zamzuri Idris; Hanani Abdul Manan
Journal:  Cancers (Basel)       Date:  2022-05-17       Impact factor: 6.575

7.  Diffusion tensor imaging as a predictor of locomotor function after experimental spinal cord injury and recovery.

Authors:  Brian J Kelley; Noam Y Harel; Chang-Yeon Kim; Xenophon Papademetris; Daniel Coman; Xingxing Wang; Omar Hasan; Adam Kaufman; Ronen Globinsky; Lawrence H Staib; William B J Cafferty; Fahmeed Hyder; Stephen M Strittmatter
Journal:  J Neurotrauma       Date:  2014-07-08       Impact factor: 5.269

8.  Integrating Imaging Data into Predictive Biomathematical and Biophysical Models of Cancer.

Authors:  Thomas E Yankeelov
Journal:  ISRN Biomath       Date:  2012

9.  Time-optimized high-resolution readout-segmented diffusion tensor imaging.

Authors:  Gernot Reishofer; Karl Koschutnig; Christian Langkammer; David Porter; Margit Jehna; Christian Enzinger; Stephen Keeling; Franz Ebner
Journal:  PLoS One       Date:  2013-09-03       Impact factor: 3.240

10.  Quantifying diffusion MRI tractography of the corticospinal tract in brain tumors with deterministic and probabilistic methods.

Authors:  Monica Bucci; Maria Luisa Mandelli; Jeffrey I Berman; Bagrat Amirbekian; Christopher Nguyen; Mitchel S Berger; Roland G Henry
Journal:  Neuroimage Clin       Date:  2013-08-20       Impact factor: 4.881

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