Literature DB >> 27209266

Nerve Fascicles and Epineurium Volume Segmentation of Peripheral Nerve Using Magnetic Resonance Micro-neurography.

Paolo Florent Felisaz1, Francesco Balducci2, Salvatore Gitto2, Irene Carne3, Stefano Montagna3, Roberto De Icco2, Anna Pichiecchio4, Maurizia Baldi3, Fabrizio Calliada5, Stefano Bastianello6.   

Abstract

RATIONALE AND
OBJECTIVES: The aims of this study were to propose a semiautomated technique to segment and measure the volume of different nerve components of the tibial nerve, such as the nerve fascicles and the epineurium, based on magnetic resonance microneurography and a segmentation tool derived from brain imaging; and to assess the reliability of this method by measuring interobserver and intraobserver agreement.
MATERIALS AND METHODS: The tibial nerve of 20 healthy volunteers (age range = 23-69; mean = 47; standard deviation = 15) was investigated at the ankle level. High-resolution images were obtained through tailored microneurographic sequences, covering 28 mm of nerve length. Two operators manually segmented the nerve using the in-phase image. This region of interest was used to mask the nerve in the water image, and two-class segmentation was performed to measure the fascicular volume, epineurial volume, nerve volume, and fascicular to nerve volume ratio (FNR). Interobserver and intraobserver agreements were calculated.
RESULTS: The nerve structure was clearly visualized with distinction of the fascicles and the epineurium. Segmentation provided absolute volumes for nerve volume, fascicular volume, and epineurial volume. The mean FNR resulted in 0.69 with a standard deviation of 0.04 and appeared to be not correlated with age and sex. Interobserver and intraobserver agreements were excellent with alpha values >0.9 for each parameter investigated, with measurements free of systematic errors at the Bland-Altman analysis.
CONCLUSIONS: We concluded that the method is reproducible and the parameter FNR is a novel feature that may help in the diagnosis of neuropathies detecting changes in volume of the fascicles or the epineurium.
Copyright © 2016 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  MRI; micro; nerve; neurography; segmentation

Mesh:

Year:  2016        PMID: 27209266     DOI: 10.1016/j.acra.2016.03.013

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  5 in total

1.  Radiomics of peripheral nerves MRI in mild carpal and cubital tunnel syndrome.

Authors:  Federica Rossi; Bianca Bignotti; Lorenzo Bianchi; Riccardo Picasso; Carlo Martinoli; Alberto Stefano Tagliafico
Journal:  Radiol Med       Date:  2019-11-26       Impact factor: 3.469

2.  MR Micro-Neurography and a Segmentation Protocol Applied to Diabetic Neuropathy.

Authors:  P F Felisaz; G Maugeri; V Busi; R Vitale; F Balducci; S Gitto; P Leporati; A Pichiecchio; M Baldi; F Calliada; L Chiovato; S Bastianello
Journal:  Radiol Res Pract       Date:  2017-04-16

Review 3.  Peripheral nerve magnetic resonance imaging.

Authors:  Yongsheng Chen; E Mark Haacke; Jun Li
Journal:  F1000Res       Date:  2019-10-28

4.  Segmentation of Peripheral Nerves From Magnetic Resonance Neurography: A Fully-Automatic, Deep Learning-Based Approach.

Authors:  Fabian Balsiger; Carolin Steindel; Mirjam Arn; Benedikt Wagner; Lorenz Grunder; Marwan El-Koussy; Waldo Valenzuela; Mauricio Reyes; Olivier Scheidegger
Journal:  Front Neurol       Date:  2018-09-19       Impact factor: 4.003

Review 5.  Lumos for the long trail: Strategies for clinical diagnosis and severity staging for diabetic polyneuropathy and future directions.

Authors:  Tatsuhito Himeno; Hideki Kamiya; Jiro Nakamura
Journal:  J Diabetes Investig       Date:  2019-12-01       Impact factor: 4.232

  5 in total

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