Published August 2014 | Version v1
Journal article

MRI-based 3D pelvic autonomous innervation: a first step towards image-guided pelvic surgery

  • 1. University Montpellier I, Laboratory of Experimental Anatomy Faculty of Medicine Montpellier-Nimes, Montpellier (France)
  • 2. Nimes University Hospital, University Montpellier 1, Radiology Department, Nimes (France)
  • 3. Nimes University Hospital, University Montpellier 1, Digestive Surgery Department, Nimes (France)
  • 4. Nimes University Hospital, University Montpellier 1, Urology-Andrology Department, Nimes (France)

Description

To analyse pelvic autonomous innervation with magnetic resonance imaging (MRI) in comparison with anatomical macroscopic dissection on cadavers. Pelvic MRI was performed in eight adult human cadavers (five men and three women) using a total of four sequences each: T1, T1 fat saturation, T2, diffusion weighed. Images were analysed with segmentation software in order to extract nervous tissue. Key height points of the pelvis autonomous innervation were located in every specimen. Standardised pelvis dissections were then performed. Distances between the same key points and the three anatomical references forming a coordinate system were measured on MRIs and dissections. Concordance (Lin's concordance correlation coefficient) between MRI and dissection was calculated. MRI acquisition allowed an adequate visualization of the autonomous innervation. Comparison between 3D MRI images and dissection showed concordant pictures. The statistical analysis showed a mean difference of less than 1 cm between MRI and dissection measures and a correct concordance correlation coefficient on at least two coordinates for each point. Our acquisition and post-processing method demonstrated that MRI is suitable for detection of autonomous pelvic innervations and can offer a preoperative nerve cartography. (orig.)

Availability note (English)

Available from: http://dx.doi.org/10.1007/s00330-014-3211-0

Additional details

Identifiers

Publishing Information

Journal Title
European Radiology
Journal Volume
24
Journal Issue
8
Journal Page Range
p. 1989-1997
ISSN
0938-7994
CODEN
EURAE3