Literature DB >> 30010992

Overcoming Challenges of Cranial Nerve Tractography: A Targeted Review.

Timothée Jacquesson1,2,3, Carole Frindel3, Gabriel Kocevar3, Moncef Berhouma1,3, Emmanuel Jouanneau1, Arnaud Attyé4, Francois Cotton3,5.   

Abstract

BACKGROUND: Diffusion imaging tractography caught the attention of the scientific community by describing the white matter architecture in vivo and noninvasively, but its application to small structures such as cranial nerves remains difficult. The few attempts to track cranial nerves presented highly variable acquisition and tracking settings.
OBJECTIVE: To conduct and present a targeted review collecting all technical details and pointing out challenges and solutions in cranial nerve tractography.
METHODS: A "targeted" review of the scientific literature was carried out using the MEDLINE database. We selected studies that reported how to perform the tractography of cranial nerves, and extracted the following: clinical context; imaging acquisition settings; tractography parameters; regions of interest (ROIs) design; and filtering methods.
RESULTS: Twenty-one published articles were included. These studied the optic nerves in suprasellar tumors, the trigeminal nerve in neurovascular conflicts, the facial nerve position around vestibular schwannomas, or all cranial nerves. Over time, the number of MRI diffusion gradient directions increased from 6 to 101. Nine tracking software packages were used which offered various types of tridimensional display. Tracking parameters were disparately detailed except for fractional anisotropy, which ranged from 0.06 to 0.5, and curvature angle, which was set between 20° and 90°. ROI design has evolved towards a multi-ROI strategy. Furthermore, new algorithms are being developed to avoid spurious tracts and improve angular resolution.
CONCLUSION: This review highlights the variability in the settings used for cranial nerve tractography. It points out challenges that originate both from cranial nerve anatomy and the tractography technology, and allows a better understanding of cranial nerve tractography.

Entities:  

Year:  2019        PMID: 30010992     DOI: 10.1093/neuros/nyy229

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  7 in total

Review 1.  Tractography for Surgical Neuro-Oncology Planning: Towards a Gold Standard.

Authors:  Sandip S Panesar; Kumar Abhinav; Fang-Cheng Yeh; Timothée Jacquesson; Malie Collins; Juan Fernandez-Miranda
Journal:  Neurotherapeutics       Date:  2019-01       Impact factor: 7.620

2.  Creation of a novel trigeminal tractography atlas for automated trigeminal nerve identification.

Authors:  Fan Zhang; Guoqiang Xie; Laura Leung; Michael A Mooney; Lorenz Epprecht; Isaiah Norton; Yogesh Rathi; Ron Kikinis; Ossama Al-Mefty; Nikos Makris; Alexandra J Golby; Lauren J O'Donnell
Journal:  Neuroimage       Date:  2020-06-20       Impact factor: 6.556

3.  Correlation between Cranial Nerve Microstructural Characteristics and Vestibular Schwannoma Tumor Volume.

Authors:  A M Halawani; S Tohyama; P S-P Hung; B Behan; M Bernstein; S Kalia; G Zadeh; M Cusimano; M Schwartz; F Gentili; D J Mikulis; N J Laperriere; M Hodaie
Journal:  AJNR Am J Neuroradiol       Date:  2021-10       Impact factor: 4.966

4.  Comparison of multiple tractography methods for reconstruction of the retinogeniculate visual pathway using diffusion MRI.

Authors:  Jianzhong He; Fan Zhang; Guoqiang Xie; Shun Yao; Yuanjing Feng; Dhiego C A Bastos; Yogesh Rathi; Nikos Makris; Ron Kikinis; Alexandra J Golby; Lauren J O'Donnell
Journal:  Hum Brain Mapp       Date:  2021-05-12       Impact factor: 5.399

Review 5.  Magnetic resonance neurography of the head and neck: state of the art, anatomy, pathology and future perspectives.

Authors:  Fréderic Van der Cruyssen; Tomas-Marijn Croonenborghs; Tara Renton; Robert Hermans; Constantinus Politis; Reinhilde Jacobs; Jan Casselman
Journal:  Br J Radiol       Date:  2021-01-29       Impact factor: 3.039

6.  Automatic oculomotor nerve identification based on data-driven fiber clustering.

Authors:  Jiahao Huang; Mengjun Li; Qingrun Zeng; Lei Xie; Jianzhong He; Ge Chen; Jiantao Liang; Mingchu Li; Yuanjing Feng
Journal:  Hum Brain Mapp       Date:  2022-01-29       Impact factor: 5.038

Review 7.  Advances in Multidisciplinary Management of Skull Base Meningiomas.

Authors:  Tamara Ius; Alessandro Tel; Giuseppe Minniti; Teresa Somma; Domenico Solari; Michele Longhi; Pasquale De Bonis; Alba Scerrati; Mario Caccese; Valeria Barresi; Alba Fiorentino; Leonardo Gorgoglione; Giuseppe Lombardi; Massimo Robiony
Journal:  Cancers (Basel)       Date:  2021-05-28       Impact factor: 6.639

  7 in total

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