Moritz Kronlage1, Véronique Schwehr2, Daniel Schwarz2, Tim Godel2, Lorenz Uhlmann3, Sabine Heiland2, Martin Bendszus2, Philipp Bäumer2,4. 1. Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany. moritz.kronlage@med.uni-heidelberg.de. 2. Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany. 3. Institute for medical biometry and informatics, Heidelberg University, Heidelberg, Germany. 4. Department of Radiology, German Cancer Research Center, Heidelberg, Germany.
Abstract
OBJECTIVE: To identify demographic determinants of peripheral nerve diffusion tensor imaging (DTI) and to establish normal values for fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD), and mean diffusivity (MD). METHODS: Sixty subjects were examined at 3 Tesla by single-shot DTI. FA, AD, RD, and MD were collected for the sciatic, tibial, median, ulnar, and radial nerve and were correlated with demographic variables. RESULTS: Mean FA of all nerves declined with increasing age (r = -0.77), which could be explained by RD increasing (r = 0.56) and AD declining (r = -0.40) with age. Moreover, FA was inversely associated with height (r = -0.28), weight (r = -0.38) and BMI (r = -0.35). Although FA tended to be lower in men than women (p = 0.052), this difference became completely negligible after adjustment to body weight. A multiple linear regression model for FA was calculated with age and weight as predictors (defined by backward variable selection), yielding an R 2 = 0.71 and providing a correction formula to adjust FA for age and weight. CONCLUSION: Peripheral nerve DTI parameters depend on demographic variables. The most important determinants age and weight should be considered in all studies employing peripheral nerve DTI. KEY POINTS: • Peripheral nerve diffusion tensor imaging (DTI) parameters depend on demographic variables. • Fractional anisotropy (FA) declines with increasing age and weight. • Gender does not systematically affect peripheral nerve DTI. • The formula presented here allows adjustment of FA for demographic variables.
OBJECTIVE: To identify demographic determinants of peripheral nerve diffusion tensor imaging (DTI) and to establish normal values for fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD), and mean diffusivity (MD). METHODS: Sixty subjects were examined at 3 Tesla by single-shot DTI. FA, AD, RD, and MD were collected for the sciatic, tibial, median, ulnar, and radial nerve and were correlated with demographic variables. RESULTS: Mean FA of all nerves declined with increasing age (r = -0.77), which could be explained by RD increasing (r = 0.56) and AD declining (r = -0.40) with age. Moreover, FA was inversely associated with height (r = -0.28), weight (r = -0.38) and BMI (r = -0.35). Although FA tended to be lower in men than women (p = 0.052), this difference became completely negligible after adjustment to body weight. A multiple linear regression model for FA was calculated with age and weight as predictors (defined by backward variable selection), yielding an R 2 = 0.71 and providing a correction formula to adjust FA for age and weight. CONCLUSION: Peripheral nerve DTI parameters depend on demographic variables. The most important determinants age and weight should be considered in all studies employing peripheral nerve DTI. KEY POINTS: • Peripheral nerve diffusion tensor imaging (DTI) parameters depend on demographic variables. • Fractional anisotropy (FA) declines with increasing age and weight. • Gender does not systematically affect peripheral nerve DTI. • The formula presented here allows adjustment of FA for demographic variables.
Authors: Lukas Filli; Marco Piccirelli; David Kenkel; Andreas Boss; Andrei Manoliu; Gustav Andreisek; Himanshu Bhat; Val M Runge; Roman Guggenberger Journal: Eur Radiol Date: 2015-09-15 Impact factor: 5.315
Authors: Barbara Hofstadler; Philipp Bäumer; Daniel Schwarz; Moritz Kronlage; Sabine Heiland; Martin Bendszus; Tim Godel Journal: Clin Neuroradiol Date: 2019-09-05 Impact factor: 3.649
Authors: Moritz Kronlage; Véronique Schwehr; Daniel Schwarz; Tim Godel; Inga Harting; Sabine Heiland; Martin Bendszus; Philipp Bäumer Journal: Eur Radiol Date: 2019-03-22 Impact factor: 5.315
Authors: Elisa Giorgetti; Michael Obrecht; Marie Ronco; Moh Panesar; Christian Lambert; Nathalie Accart; Arno Doelemeyer; Mark Nash; Michael Bidinosti; Nicolau Beckmann Journal: Sci Rep Date: 2019-09-18 Impact factor: 4.379
Authors: Jos Oudeman; Camiel Verhamme; Maurits P Engbersen; Mattan W A Caan; Mario Maas; Martijn Froeling; Aart J Nederveen; Gustav J Strijkers Journal: PLoS One Date: 2018-05-09 Impact factor: 3.240