Healthy Volunteers Clinical Trial
— Neuro-TractoOfficial title:
Assessment of Magnetic Resonance Imaging Neurography and Tractography for Preoperative Mapping of Pelvic Nerves
| Verified date | March 2018 |
| Source | IHU Strasbourg |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Interventional |
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.
| Status | Completed |
| Enrollment | 20 |
| Est. completion date | March 2016 |
| Est. primary completion date | March 2016 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | All |
| Age group | 18 Years and older |
| Eligibility |
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: - 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 |
| Country | Name | City | State |
|---|---|---|---|
| France | Institut de Physique Biologique - Laboratoire iCube UMR 7357 UdS/CNRS | Strasbourg |
| Lead Sponsor | Collaborator |
|---|---|
| IHU Strasbourg |
France,
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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. — View Citation
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. Review. — View Citation
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. — View Citation
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. — View Citation
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. Review. — View Citation
Porter GA, Soskolne CL, Yakimets WW, Newman SC. Surgeon-related factors and outcome in rectal cancer. Ann Surg. 1998 Feb;227(2):157-67. — View Citation
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. — View Citation
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. — View Citation
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. — View Citation
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. — View Citation
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 F — View Citation
* Note: There are 12 references in all — Click here to view all references
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | 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. | At the time of exam | |
| Secondary | 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. | At the time of exam | |
| Secondary | Comparative evaluation score for neurography and tractography methods | Neurography and tractography methods will be scored on a five-point Lickert scale. | Through study completion, an average of 1 year | |
| Secondary | Acquisition time for neurography and tractography methods | Required acquisition time for neurography and tractography methods will be compared if evaluation scores are equivalent. | At the time of exam |
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