Niels D Naimon1, Jerzy Walczyk1,2, James S Babb1, Oleksandr Khegai1,2, Xuejiao Che1, Leeor Alon1,2, Ravinder R Regatte1,2, Ryan Brown1,2, Prodromos Parasoglou3,4. 1. Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA. 2. Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, USA. 3. Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, USA. prodromos.parasoglou@nyumc.org. 4. Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, USA. prodromos.parasoglou@nyumc.org.
Abstract
OBJECTIVE: To develop a low-cost pedal ergometer compatible with ultrahigh (7 T) field MR systems to reliably quantify metabolic parameters in human lower leg muscle using phosphorus magnetic resonance spectroscopy. MATERIALS AND METHODS: We constructed an MR compatible ergometer using commercially available materials and elastic bands that provide resistance to movement. We recruited ten healthy subjects (eight men and two women, mean age ± standard deviation: 32.8 ± 6.0 years, BMI: 24.1 ± 3.9 kg/m2). All subjects were scanned on a 7 T whole-body magnet. Each subject was scanned on two visits and performed a 90 s plantar flexion exercise at 40% maximum voluntary contraction during each scan. During the first visit, each subject performed the exercise twice in order for us to estimate the intra-exam repeatability, and once during the second visit in order to estimate the inter-exam repeatability of the time constant of phosphocreatine recovery kinetics. We assessed the intra and inter-exam reliability in terms of the within-subject coefficient of variation (CV). RESULTS: We acquired reliable measurements of PCr recovery kinetics with an intra- and inter-exam CV of 7.9% and 5.7%, respectively. CONCLUSION: We constructed a low-cost pedal ergometer compatible with ultrahigh (7 T) field MR systems, which allowed us to quantify reliably PCr recovery kinetics in lower leg muscle using 31P-MRS.
OBJECTIVE: To develop a low-cost pedal ergometer compatible with ultrahigh (7 T) field MR systems to reliably quantify metabolic parameters in human lower leg muscle using phosphorus magnetic resonance spectroscopy. MATERIALS AND METHODS: We constructed an MR compatible ergometer using commercially available materials and elastic bands that provide resistance to movement. We recruited ten healthy subjects (eight men and two women, mean age ± standard deviation: 32.8 ± 6.0 years, BMI: 24.1 ± 3.9 kg/m2). All subjects were scanned on a 7 T whole-body magnet. Each subject was scanned on two visits and performed a 90 s plantar flexion exercise at 40% maximum voluntary contraction during each scan. During the first visit, each subject performed the exercise twice in order for us to estimate the intra-exam repeatability, and once during the second visit in order to estimate the inter-exam repeatability of the time constant of phosphocreatine recovery kinetics. We assessed the intra and inter-exam reliability in terms of the within-subject coefficient of variation (CV). RESULTS: We acquired reliable measurements of PCr recovery kinetics with an intra- and inter-exam CV of 7.9% and 5.7%, respectively. CONCLUSION: We constructed a low-cost pedal ergometer compatible with ultrahigh (7 T) field MR systems, which allowed us to quantify reliably PCr recovery kinetics in lower leg muscle using 31P-MRS.
Entities:
Keywords:
Exercise; Human skeletal muscle; Magnetic resonance spectroscopy; Phosphorus
Authors: Lindsay M Edwards; Damian J Tyler; Graham J Kemp; Renee M Dwyer; Andrew Johnson; Cameron J Holloway; Alan M Nevill; Kieran Clarke Journal: PLoS One Date: 2012-06-11 Impact factor: 3.240
Authors: Martin Meyerspeer; Simon Robinson; Christine I Nabuurs; Tom Scheenen; Adrian Schoisengeier; Ewald Unger; Graham J Kemp; Ewald Moser Journal: Magn Reson Med Date: 2012-02-14 Impact factor: 4.668
Authors: Petr Sedivy; Monika Dezortova; Jan Rydlo; Miloslav Drobny; Martin Krssak; Ladislav Valkovic; Milan Hajek Journal: J Appl Biomed Date: 2019-04-15 Impact factor: 1.797
Authors: Ryan Brown; Azadeh Sharafi; Jill M Slade; Antonio Convit; Nathan Davis; Steven Baete; Heather Milton; Kenneth J Mroczek; Patricia M Kluding; Ravinder R Regatte; Prodromos Parasoglou; Smita Rao Journal: BMJ Open Diabetes Res Care Date: 2021-09