Use of DTT to Define Facial Nerve Position in Vestibular Schwannomas
NCT ID: NCT04057976
Last Updated: 2025-09-12
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
38 participants
INTERVENTIONAL
2019-06-27
2024-12-31
Brief Summary
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This study aims to investigate the reliability of DTT in identifying the course of the facial nerve preoperatively in patients undergoing surgery for VS.
The future benefit would be to enable surgeons to operate with more confidence and potentially reduce the chance of nerve injury.
The study will recruit adult patients due to have surgery for VS. The only change to the participants' clinical pathways will be the addition of a DTT sequence to their pre-operative MRI scans (increasing scanning time by approximately 10 minutes).
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Detailed Description
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There now exists a potential means of non-invasively identifying the course of the facial nerve using advanced applications of magnetic resonance imaging (MRI). This involves utilising a technique known as diffusion tensor tractography (DTT), which has the capacity to detect the direction (vector) of diffusivity in a particular volume of tissue (voxel) (Mukherjee et al.). This data can be subsequently used to reveal structures, such as nerve fibre tracts, that are arranged along particular vectors, enabling them to be differentiated from surrounding tissue (Cauley et al.). This cannot be achieved using standard MRI sequences, in which the flattened nerve often becomes indistinguishable from the adjacent VS. Fortunately, as MRI represents the current means of diagnosing and characterising VS, adding an additional DTT sequence to a patient's scan does not represent a significant burden (only approximately 10 additional minutes of scanning time to acquire the DTT data).
Several groups (Choi et al., Taoka et al., Gerganov et al., Zhang et al. and Song et al.) have used DTT to delineate the course of the facial nerve in patients with VS and the majority have reported high success rates (\>90% agreement with operative findings). However, many of these studies employed 'deterministic' DTT, which has drawbacks that limit its reliability in the setting of small fibre tracts with complex geometry. In particular, it is unable to accurately track fibres that cross, split or merge because the technique assumes that adjacent voxels have similar vectors. In order to overcome these limitations, we propose using the newer 'probabilistic' DTT technique that calculates a vector for each voxel analysed. It therefore has the capacity to account for complex geometries, such as those encountered in the facial nerve, particularly where its course is heavily distorted by tumour tissue. Zolal et al. used this technique in 21 patients with VS, resulting in an agreement rate of 81% for the position of the facial nerve and 33% for the cochlear nerve (Zolal et al.). However, there is an ongoing need for further studies in this area.
This project seeks to clarify the accuracy, reproducibility and practicality of probabilistic DTT in locating the facial nerve pre-operatively. If the technique proves accurate, it will potentially help with pre-operative planning and avoidance of facial nerve injury during VS surgery. Additionally the project seeks to clarify associated practical issues; in particular, the inter-observer/intra-observer variability (i.e. whether the reading radiologists agree with each other and themselves when analysing DTT images), whether the facial nerve position can be partially inferred on conventional sequences (comparing this with DTT) and whether adjacent nerves (such as the vestibulocochlear nerve) can be identified, which may further help with surgical preoperative planning.
HYPOTHESIS:
It is hypothesised that preoperative advanced probabilistic diffusion tensor tractography (DTT) will accurately demonstrate the position of the facial nerve relative to extrameatal portion of a vestibular schwannoma. It is proposed that the accuracy will be superior to previous studies in which deterministic DTT has been used to demonstrate the position of the facial nerve. This pre-operative mapping has the potential to decrease the rates of facial nerve injury during vestibular schwannoma surgery and allow for increased resection of the tumour.
STUDY DESIGN:
Prospective cohort observational study.
For study eligibility and outcome measures, please see the relevant sections.
IMAGE ANALYSIS
MRI In addition to standard imaging assessment, further image analysis will be performed offline using MRTrix 3.0 (www.mrtrix.org) in tensor probabililty mode. The presence of one or more cranial nerve tracts will be determined by their consistent depiction following their systematic interrogation with varying anisotropy thresholds. There will be a qualitative assessment of cranial nerve position will be achieved by dividing the circumference of the extrameatal vestibular schwannoma into segments.The assessment will be performed by two observers.
Reference standard:
The position of the facial nerve with respect to the extrameatal portion of the vestibular schwannoma will be assessed at surgery will be achieved by dividing the circumference of the extrameatal vestibular schwannoma into multiple segments in the same manner as above. This assessment will be made independently of the results of the pre-operative probabilistic DTT (the neurosurgeon recording the data will be blinded to the DTT findings).
STATISTICAL CONSIDERATIONS
Sample size calculation:
Power calculation based upon a sample size of 32, assuming a true kappa coefficient of 0.9; the 95% confidence interval will have a width of 0.26 (0.77 - 1.03). The number (32) also reflects the number of cases that we expect to recruit over a 2-3 year period.
Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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Patients having pre-operative DTT prior to surgery
All patients in this study will undergo DTT as part of a pre-operative MRI.
Probabilistic diffusion tensor tractography
Patients enrolled in this study will undergo probabilistic diffusion tensor tractography (additional MRI sequence) preoperatively in order to determine whether this it is possible to determine the course of the facial nerve.
Interventions
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Probabilistic diffusion tensor tractography
Patients enrolled in this study will undergo probabilistic diffusion tensor tractography (additional MRI sequence) preoperatively in order to determine whether this it is possible to determine the course of the facial nerve.
Eligibility Criteria
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Inclusion Criteria
* \>1.5cm extrameatal tumor determined to represent a vestibular schwannoma by preoperative imaging
* HB grade I or II preoperatively
* Standard contraindications to MRI
* Previous cranial radiotherapy or previous surgery to the cerebellopontine angle cistern or IAM
18 Years
ALL
No
Sponsors
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Guy's and St Thomas' NHS Foundation Trust
OTHER
King's College Hospital NHS Trust
OTHER
Responsible Party
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Principal Investigators
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Steve Connor, MBBS, FRCR
Role: PRINCIPAL_INVESTIGATOR
King's College Hospital NHS Trust
Locations
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King's College Hospital NHS Foundation Trust
London, London, United Kingdom
Countries
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References
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Cauley KA, Filippi CG. Diffusion-tensor imaging of small nerve bundles: cranial nerves, peripheral nerves, distal spinal cord, and lumbar nerve roots--clinical applications. AJR Am J Roentgenol. 2013 Aug;201(2):W326-35. doi: 10.2214/AJR.12.9230.
Choi KS, Kim MS, Kwon HG, Jang SH, Kim OL. Preoperative identification of facial nerve in vestibular schwannomas surgery using diffusion tensor tractography. J Korean Neurosurg Soc. 2014 Jul;56(1):11-5. doi: 10.3340/jkns.2014.56.1.11. Epub 2014 Jul 31.
Gerganov VM, Giordano M, Samii M, Samii A. Diffusion tensor imaging-based fiber tracking for prediction of the position of the facial nerve in relation to large vestibular schwannomas. J Neurosurg. 2011 Dec;115(6):1087-93. doi: 10.3171/2011.7.JNS11495. Epub 2011 Aug 26.
Mukherjee P, Berman JI, Chung SW, Hess CP, Henry RG. Diffusion tensor MR imaging and fiber tractography: theoretic underpinnings. AJNR Am J Neuroradiol. 2008 Apr;29(4):632-41. doi: 10.3174/ajnr.A1051. Epub 2008 Mar 13.
Sampath P, Rini D, Long DM. Microanatomical variations in the cerebellopontine angle associated with vestibular schwannomas (acoustic neuromas): a retrospective study of 1006 consecutive cases. J Neurosurg. 2000 Jan;92(1):70-8. doi: 10.3171/jns.2000.92.1.0070.
Song F, Hou Y, Sun G, Chen X, Xu B, Huang JH, Zhang J. In vivo visualization of the facial nerve in patients with acoustic neuroma using diffusion tensor imaging-based fiber tracking. J Neurosurg. 2016 Oct;125(4):787-794. doi: 10.3171/2015.7.JNS142922. Epub 2016 Jan 1.
Taoka T, Hirabayashi H, Nakagawa H, Sakamoto M, Myochin K, Hirohashi S, Iwasaki S, Sakaki T, Kichikawa K. Displacement of the facial nerve course by vestibular schwannoma: preoperative visualization using diffusion tensor tractography. J Magn Reson Imaging. 2006 Nov;24(5):1005-10. doi: 10.1002/jmri.20725.
Zhang Y, Mao Z, Wei P, Jin Y, Ma L, Zhang J, Yu X. Preoperative Prediction of Location and Shape of Facial Nerve in Patients with Large Vestibular Schwannomas Using Diffusion Tensor Imaging-Based Fiber Tracking. World Neurosurg. 2017 Mar;99:70-78. doi: 10.1016/j.wneu.2016.11.110. Epub 2016 Nov 30.
Zolal A, Juratli TA, Podlesek D, Rieger B, Kitzler HH, Linn J, Schackert G, Sobottka SB. Probabilistic Tractography of the Cranial Nerves in Vestibular Schwannoma. World Neurosurg. 2017 Nov;107:47-53. doi: 10.1016/j.wneu.2017.07.102. Epub 2017 Jul 25.
Other Identifiers
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226479
Identifier Type: -
Identifier Source: org_study_id
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