Quantitative double echo steady state T2 mapping of upper extremity peripheral nerves and muscles
IntroductionT2 mapping can characterize peripheral neuropathy and muscle denervation due to axonal damage. Three-dimensional double echo steady-state (DESS) can simultaneously provide 3D qualitative information and T2 maps with equivalent spatial resolution. However, insufficient signal-to-noise rat...
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Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2024.1359033/full |
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| author | Gracyn J. Campbell Darryl B. Sneag Sophie C. Queler Yenpo Lin Yenpo Lin Qian Li Ek T. Tan |
| author_facet | Gracyn J. Campbell Darryl B. Sneag Sophie C. Queler Yenpo Lin Yenpo Lin Qian Li Ek T. Tan |
| author_sort | Gracyn J. Campbell |
| collection | DOAJ |
| description | IntroductionT2 mapping can characterize peripheral neuropathy and muscle denervation due to axonal damage. Three-dimensional double echo steady-state (DESS) can simultaneously provide 3D qualitative information and T2 maps with equivalent spatial resolution. However, insufficient signal-to-noise ratio may bias DESS-T2 values. Deep learning reconstruction (DLR) techniques can reduce noise, and hence may improve quantitation of high-resolution DESS-T2. This study aims to (i) evaluate the effect of DLR methods on DESS-T2 values, and (ii) to evaluate the feasibility of using DESS-T2 maps to differentiate abnormal from normal nerves and muscles in the upper extremities, with abnormality as determined by electromyography.Methods and resultsAnalysis of images from 25 subjects found that DLR decreased DESS-T2 values in abnormal muscles (DLR = 37.71 ± 9.11 msec, standard reconstruction = 38.56 ± 9.44 msec, p = 0.005) and normal muscles (DLR: 27.18 ± 6.34 msec, standard reconstruction: 27.58 ± 6.34 msec, p < 0.001) consistent with a noise reduction bias. Mean DESS-T2, both with and without DLR, was higher in abnormal nerves (abnormal = 75.99 ± 38.21 msec, normal = 35.10 ± 9.78 msec, p < 0.001) and muscles (abnormal = 37.71 ± 9.11 msec, normal = 27.18 ± 6.34 msec, p < 0.001). A higher DESS-T2 in muscle was associated with electromyography motor unit recruitment (p < 0.001).DiscussionThese results suggest that quantitative DESS-T2 is improved by DLR and can differentiate the nerves and muscles involved in peripheral neuropathies from those uninvolved. |
| first_indexed | 2024-03-08T00:51:22Z |
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| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-03-08T00:51:22Z |
| publishDate | 2024-02-01 |
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| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-ca9646d4a1fe4edaac1bc790d445705b2024-02-15T04:46:09ZengFrontiers Media S.A.Frontiers in Neurology1664-22952024-02-011510.3389/fneur.2024.13590331359033Quantitative double echo steady state T2 mapping of upper extremity peripheral nerves and musclesGracyn J. Campbell0Darryl B. Sneag1Sophie C. Queler2Yenpo Lin3Yenpo Lin4Qian Li5Ek T. Tan6Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY, United StatesDepartment of Radiology and Imaging, Hospital for Special Surgery, New York, NY, United StatesCollege of Medicine, Downstate Health Sciences University, Brooklyn, NY, United StatesDepartment of Radiology and Imaging, Hospital for Special Surgery, New York, NY, United StatesDepartment of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Taoyuan City, TaiwanBiostatistics Core, Hospital for Special Surgery, New York, NY, United StatesDepartment of Radiology and Imaging, Hospital for Special Surgery, New York, NY, United StatesIntroductionT2 mapping can characterize peripheral neuropathy and muscle denervation due to axonal damage. Three-dimensional double echo steady-state (DESS) can simultaneously provide 3D qualitative information and T2 maps with equivalent spatial resolution. However, insufficient signal-to-noise ratio may bias DESS-T2 values. Deep learning reconstruction (DLR) techniques can reduce noise, and hence may improve quantitation of high-resolution DESS-T2. This study aims to (i) evaluate the effect of DLR methods on DESS-T2 values, and (ii) to evaluate the feasibility of using DESS-T2 maps to differentiate abnormal from normal nerves and muscles in the upper extremities, with abnormality as determined by electromyography.Methods and resultsAnalysis of images from 25 subjects found that DLR decreased DESS-T2 values in abnormal muscles (DLR = 37.71 ± 9.11 msec, standard reconstruction = 38.56 ± 9.44 msec, p = 0.005) and normal muscles (DLR: 27.18 ± 6.34 msec, standard reconstruction: 27.58 ± 6.34 msec, p < 0.001) consistent with a noise reduction bias. Mean DESS-T2, both with and without DLR, was higher in abnormal nerves (abnormal = 75.99 ± 38.21 msec, normal = 35.10 ± 9.78 msec, p < 0.001) and muscles (abnormal = 37.71 ± 9.11 msec, normal = 27.18 ± 6.34 msec, p < 0.001). A higher DESS-T2 in muscle was associated with electromyography motor unit recruitment (p < 0.001).DiscussionThese results suggest that quantitative DESS-T2 is improved by DLR and can differentiate the nerves and muscles involved in peripheral neuropathies from those uninvolved.https://www.frontiersin.org/articles/10.3389/fneur.2024.1359033/fullquantitative MRIperipheral neuropathyT2 mappingdeep learning reconstructionmagnetic resonance neurography |
| spellingShingle | Gracyn J. Campbell Darryl B. Sneag Sophie C. Queler Yenpo Lin Yenpo Lin Qian Li Ek T. Tan Quantitative double echo steady state T2 mapping of upper extremity peripheral nerves and muscles Frontiers in Neurology quantitative MRI peripheral neuropathy T2 mapping deep learning reconstruction magnetic resonance neurography |
| title | Quantitative double echo steady state T2 mapping of upper extremity peripheral nerves and muscles |
| title_full | Quantitative double echo steady state T2 mapping of upper extremity peripheral nerves and muscles |
| title_fullStr | Quantitative double echo steady state T2 mapping of upper extremity peripheral nerves and muscles |
| title_full_unstemmed | Quantitative double echo steady state T2 mapping of upper extremity peripheral nerves and muscles |
| title_short | Quantitative double echo steady state T2 mapping of upper extremity peripheral nerves and muscles |
| title_sort | quantitative double echo steady state t2 mapping of upper extremity peripheral nerves and muscles |
| topic | quantitative MRI peripheral neuropathy T2 mapping deep learning reconstruction magnetic resonance neurography |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2024.1359033/full |
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