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PubMed Publications| Keyword search (4,163 papers available) |  |
"Dziesinski L" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Thresholding approaches for estimating paraspinal muscle fat infiltration using T1- and T2-weighted MRI: Comparative analysis using water-fat MRI | Ornowski J; Dziesinski L; Hess M; Krug R; Fortin M; Torres-Espin A; Majumdar S; Pedoia V; Bonnheim NB; Bailey JF; | 38222819 HKAP |
| Title: | Thresholding approaches for estimating paraspinal muscle fat infiltration using T1- and T2-weighted MRI: Comparative analysis using water-fat MRI | ||||
| Authors: | Ornowski J, Dziesinski L, Hess M, Krug R, Fortin M, Torres-Espin A, Majumdar S, Pedoia V, Bonnheim NB, Bailey JF | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/38222819/ | ||||
| DOI: | 10.1002/jsp2.1301 | ||||
| Publication: | JOR spine | ||||
| Keywords: | MRI; fat infiltration; low back pain; muscle quality; paraspinal muscles; thresholding; water-fat MRI; | ||||
| PMID: | 38222819 | Category: | Date Added: | 2024-01-15 | |
| Dept Affiliation: |
HKAP
1 Department of Orthopaedic Surgery University of California San Francisco California USA. 2 Department of Radiology and Biomedical Imaging University of California San Francisco California USA. 3 Department of Health, Kinesiology, and Applied Physiology Concordia University Montreal Québec Canada. 4 School of Public Health Sciences Faculty of Health University of Waterloo Waterloo Ontario Canada. 5 Department of Physical Therapy University of Alberta Edmonton Alberta Canada. 6 Department of Neurological Surgery University of California San Francisco California USA. |
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Description: |
Background: Paraspinal muscle fat infiltration is associated with spinal degeneration and low back pain, however, quantifying muscle fat using clinical magnetic resonance imaging (MRI) techniques continues to be a challenge. Advanced MRI techniques, including chemical-shift encoding (CSE) based water-fat MRI, enable accurate measurement of muscle fat, but such techniques are not widely available in routine clinical practice. Methods: To facilitate assessment of paraspinal muscle fat using clinical imaging, we compared four thresholding approaches for estimating muscle fat fraction (FF) using T1- and T2-weighted images, with measurements from water-fat MRI as the ground truth: Gaussian thresholding, Otsu's method, K-mean clustering, and quadratic discriminant analysis. Pearson's correlation coefficients (r), mean absolute errors, and mean bias errors were calculated for FF estimates from T1- and T2-weighted MRI with water-fat MRI for the lumbar multifidus (MF), erector spinae (ES), quadratus lumborum (QL), and psoas (PS), and for all muscles combined. Results: We found that for all muscles combined, FF measurements from T1- and T2-weighted images were strongly positively correlated with measurements from the water-fat images for all thresholding techniques (r = 0.70-0.86, p < 0.0001) and that variations in inter-muscle correlation strength were much greater than variations in inter-method correlation strength. Conclusion: We conclude that muscle FF can be quantified using thresholded T1- and T2-weighted MRI images with relatively low bias and absolute error in relation to water-fat MRI, particularly in the MF and ES, and the choice of thresholding technique should depend on the muscle and clinical MRI sequence of interest. |
