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CompletedNCT02582346Neuro-TractoUpdated Mar 14, 2018

Assessment of Magnetic Resonance Imaging Neurography and Tractography for Preoperative Mapping of Pelvic Nerves

An interventional study of MRI acquisition - no contrast agent in Healthy Volunteers, sponsored by IHU Strasbourg. Completed at 1 site in France. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2018-03-14.

Sponsored by IHU Strasbourg · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
20
Allocation
Not applicable
Ages
18 Years and older
Sex
All
01

Study summary

This project aims at assessing two MRI acquisition methods, neurography and tractography, for the visualization of pelvic nerves. The goal is to optimize both methods and to test them on a pool of volunteers to assess if nerves can be delineated, so as to provide an individualized mapping of nerves to surgeons before an intervention and avoid postoperative complications.

Read the detailed description

Nerves of the autonomic nervous system are frequently damaged during pelvic surgery, and those injuries may lead to postoperative complications like incontinence or impotence. This study aims at developing an imaging protocol providing images where nerves can be visualized and segmented. A simple preoperative MRI exam might yield an individualized mapping of pelvic nerves that would be combined to augmented reality, thereby providing a valuable support to guide surgeons during an intervention by indicating location of the nerves that have to be preserved.

Up to now, investigations have been carried out with a 1.5 Tesla (1.5T) MRI system on an animal model (pig). MRI is non irradiant and non invasive imaging modality that proved to be a valuable method to visualize small structures like nerves. Investigations focused on MRI neurography, an anatomical imaging method highlighting nerves, and MRI tractography, a diffusion-tensor-based imaging method allowing reconstruction of nervous fibers. However, the swine model is not ideal due to major differences with human, more particularly the fact that the human pelvis contains a lot of fat unlike the swine pelvis, which is an interesting feature as there is a good contrast between fat and tissue in MRI. Therefore, it is important to perform new investigations in healthy volunteers to refine and assess the MRI acquisitions. Those investigations will be performed with a 3Tesla (3T) system from the same manufacturer, providing the same sequences but a higher field strength which should offer higher signal. There will be no injection of contrast agent. The protocol will use standard sequences from the manufacturer with parameters adjusted for the purposes of the study. The image quality will be scored on a 5-point Likert scale (0 = no possible delineation to 4=nerves are entirely visible).

02

Conditions studied

  • Healthy Volunteers

Keywords

  • MRI
  • Neurography
  • Tractography
  • Pelvic nerves
03

In context

Lead sponsor

IHU Strasbourg is the lead sponsor of 43 studies on the registry; 8 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

  • Volunteers, male or female, from 18 years old
  • Volunteers able to understand the study and to provide informed consent
  • Volunteers affiliated to the French social security system

Exclusion criteria

Exclusion Criteria:

  • Volunteer with contraindications to MRI (implanted device like pace-maker or neurostimulator, ferromagnetic materials, claustrophobia or obesity)
  • Volunteer that already underwent pelvic surgery
  • Volunteer pregnant or breastfeeding
  • Volunteer unable to provide informed consent
  • Volunteer refusing to be informed of any anomaly during an exam
  • Volunteer that already received more than 4500€ of allowance for biomedical testing
  • Volunteer in exclusion period (determined by a previous study or in progress)
  • Volunteer having forfeited their freedom of an administrative or legal obligation
  • Volunteer under guardianship
  • Volunteer carrying a multiresistant bacteria
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
20 participants (actual)

Study arms

  • Experimental
    MRI acquisition - no contrast agent

    Volunteers will have an MRI with a 3T clinical system. Installation will be performed according to standard protocols. Different neurography and tractography sequences will be acquired in order to get different contrasts.

    Procedure: MRI acquisition - no contrast agent

Interventions

  • ProcedureMRI acquisition - no contrast agent

    No surgery. Volunteers will have an MRI with a 3T clinical system. Installation will be performed according to standard protocols. Different neurography and tractography sequences will be acquired in order to get different contrasts.

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What researchers measure

Primary outcomes

  1. Assessment of image quality to delineate and identify nerves

    The assessment of image quality to delineate and identify nerves will be scored on a five-point Likert scale by the operator, and independently reviewed by a radiologist.

    Time frame: At the time of exam

Secondary outcomes

  1. Image quality at 1.5T and 3T by comparison of signal-to-noise ratios

    Assessment of signal-to-noise ratios to compare 1.5T and 3T fields.

    Time frame: At the time of exam

  2. Comparative evaluation score for neurography and tractography methods

    Neurography and tractography methods will be scored on a five-point Lickert scale.

    Time frame: Through study completion, an average of 1 year

  3. Acquisition time for neurography and tractography methods

    Required acquisition time for neurography and tractography methods will be compared if evaluation scores are equivalent.

    Time frame: At the time of exam

07

Study locations

1 site
  • Institut de Physique Biologique - Laboratoire iCube UMR 7357 UdS/CNRS
    Strasbourg, 67000, France
08

References and documents

Publications

  • Porter GA, Soskolne CL, Yakimets WW, Newman SC. Surgeon-related factors and outcome in rectal cancer. Ann Surg. 1998 Feb;227(2):157-67. doi: 10.1097/00000658-199802000-00001. PubMed 9488510 ↗
  • Baader B, Herrmann M. Topography of the pelvic autonomic nervous system and its potential impact on surgical intervention in the pelvis. Clin Anat. 2003 Mar;16(2):119-30. doi: 10.1002/ca.10105. PubMed 12589666 ↗
  • Lange MM, Marijnen CA, Maas CP, Putter H, Rutten HJ, Stiggelbout AM, Meershoek-Klein Kranenbarg E, van de Velde CJ; Cooperative clinical investigators of the Dutch. Risk factors for sexual dysfunction after rectal cancer treatment. Eur J Cancer. 2009 Jun;45(9):1578-88. doi: 10.1016/j.ejca.2008.12.014. Epub 2009 Jan 13. PubMed 19147343 ↗
  • Lim KS, Tan CH. Diffusion-weighted MRI of adult male pelvic cancers. Clin Radiol. 2012 Sep;67(9):899-908. doi: 10.1016/j.crad.2012.01.016. Epub 2012 Apr 11. PubMed 22498730 ↗
  • Shihab OC, Heald RJ, Rullier E, Brown G, Holm T, Quirke P, Moran BJ. Defining the surgical planes on MRI improves surgery for cancer of the low rectum. Lancet Oncol. 2009 Dec;10(12):1207-11. doi: 10.1016/S1470-2045(09)70084-1. PubMed 19959077 ↗
  • Filler AG, Howe FA, Hayes CE, Kliot M, Winn HR, Bell BA, Griffiths JR, Tsuruda JS. Magnetic resonance neurography. Lancet. 1993 Mar 13;341(8846):659-61. doi: 10.1016/0140-6736(93)90422-d. PubMed 8095572 ↗
  • Takahara T, Hendrikse J, Yamashita T, Mali WP, Kwee TC, Imai Y, Luijten PR. Diffusion-weighted MR neurography of the brachial plexus: feasibility study. Radiology. 2008 Nov;249(2):653-60. doi: 10.1148/radiol.2492071826. Epub 2008 Sep 16. PubMed 18796657 ↗
  • van der Jagt PK, Dik P, Froeling M, Kwee TC, Nievelstein RA, ten Haken B, Leemans A. Architectural configuration and microstructural properties of the sacral plexus: a diffusion tensor MRI and fiber tractography study. Neuroimage. 2012 Sep;62(3):1792-9. doi: 10.1016/j.neuroimage.2012.06.001. Epub 2012 Jun 13. PubMed 22705377 ↗
  • Bertrand MM, Macri F, Mazars R, Droupy S, Beregi JP, Prudhomme M. MRI-based 3D pelvic autonomous innervation: a first step towards image-guided pelvic surgery. Eur Radiol. 2014 Aug;24(8):1989-97. doi: 10.1007/s00330-014-3211-0. Epub 2014 May 17. PubMed 24838739 ↗
  • Soler L, Nicolau S, Pessaux P, Mutter D, Marescaux J. Real-time 3D image reconstruction guidance in liver resection surgery. Hepatobiliary Surg Nutr. 2014 Apr;3(2):73-81. doi: 10.3978/j.issn.2304-3881.2014.02.03. PubMed 24812598 ↗
  • Chang KJ, Kamel IR, Macura KJ, Bluemke DA. 3.0-T MR imaging of the abdomen: comparison with 1.5 T. Radiographics. 2008 Nov-Dec;28(7):1983-98. doi: 10.1148/rg.287075154. PubMed 19001653 ↗
  • Wijsmuller AR, Giraudeau C, Leroy J, Kleinrensink GJ, Rociu E, Romagnolo LG, Melani AGF, Agnus V, Diana M, Soler L, Dallemagne B, Marescaux J, Mutter D. A step towards stereotactic navigation during pelvic surgery: 3D nerve topography. Surg Endosc. 2018 Aug;32(8):3582-3591. doi: 10.1007/s00464-018-6086-3. Epub 2018 Feb 12. PubMed 29435745 ↗
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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Mar 14, 2018, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT02582346
Lead sponsor
IHU Strasbourg
Responsible party
Sponsor
First posted
Oct 21, 2015
Start date
Nov 2015
Primary completion
Mar 2016
Completion
Mar 2016
Last update
Mar 14, 2018

Study contacts

Daniel Grucker, MD, PhD
principal investigator · Institut de Physique Biologique - Laboratoire iCube UMR 7357 UdS/CNRS Strasbourg

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Mar 2018. You cannot join it, but the record below documents what was studied.

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