Literature DB >> 24838739

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

M M Bertrand1, F Macri, R Mazars, S Droupy, J P Beregi, M Prudhomme.   

Abstract

OBJECTIVE: To analyse pelvic autonomous innervation with magnetic resonance imaging (MRI) in comparison with anatomical macroscopic dissection on cadavers.
MATERIAL AND METHODS: 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.
RESULTS: 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.
CONCLUSION: Our acquisition and post-processing method demonstrated that MRI is suitable for detection of autonomous pelvic innervations and can offer a preoperative nerve cartography. KEY POINTS: • Nerve preservation is a hot topic in pelvic surgery • High resolution MRI can show distal peripheral nerves • Anatomo-radiological comparison shows good correlation between MRI and dissection • 3D reconstructions of pelvic innervation were obtained with an original method • This is a first step towards image-guided pelvic surgery.

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Year:  2014        PMID: 24838739     DOI: 10.1007/s00330-014-3211-0

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


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