TY - JOUR
T1 - Regional variation in paraspinal muscle composition using chemical shift encoding-based water-fat MRI
AU - Sollmann, Nico
AU - Zoffl, Agnes
AU - Franz, Daniela
AU - Syväri, Jan
AU - Dieckmeyer, Michael
AU - Burian, Egon
AU - Klupp, Elisabeth
AU - Hedderich, Dennis M.
AU - Holzapfel, Christina
AU - Drabsch, Theresa
AU - Kirschke, Jan S.
AU - Rummeny, Ernst J.
AU - Zimmer, Claus
AU - Hauner, Hans
AU - Karampinos, Dimitrios C.
AU - Baum, Thomas
N1 - Publisher Copyright:
© 2020 AME Publishing Company. All rights reserved.
PY - 2020/2
Y1 - 2020/2
N2 - Background: Paraspinal musculature forms one of the largest muscle compartments of the human body, but evidence for regional variation of its composition and dependency on gender or body mass index (BMI) is scarce. Methods: This study applied six-echo chemical shift encoding-based water-fat magnetic resonance imaging (MRI) at 3 Tesla in 76 subjects (24 males and 52 females, age: 40.0±13.7 years, BMI: 25.4±5.6 kg/m2) to evaluate the proton density fat fraction (PDFF) of psoas muscles and erector spinae muscles, with the latter being divided into three segments in relation to levels of spine anatomy (L3–L5, T12–L2, and T9–T11). Results: For the psoas muscles and the erector spinae muscles (L3–L5), gender differences in PDFF values were observed (PDFF psoas muscles: males: 5.1%±3.4% vs. females: 6.0%±2.2%, P=0.006; PDFF erector spinae muscles L3–L5: males: 10.7%±7.6% vs. females: 18.2%±6.8%, P<0.001). Furthermore, the PDFF of the erector spinae muscles (L3–L5) showed higher PDFF values when compared to the other segments (PDFF erector spinae muscles L3–L5 vs. T12–L2: P<0.001; PDFF erector spinae muscles L3–L5 vs. T9–T11: P<0.001) and showed to be independent of BMI, which was not the case for the other segments (T12–L2 or T9–T11) or the psoas muscles. When considering age and BMI as control variables, correlations of PDFF between segments of the erector spinae muscles remained significant for both genders. Conclusions: This study explored regional variation of paraspinal muscle composition and dependency on gender and BMI, thus offering new insights into muscle physiology. The PDFF of the erector spinae muscles (L3–L5) was independent of BMI, suggesting that this level may be suited for representative paraspinal muscle segmentation and PDFF extraction as a biomarker for muscle alterations in the future.
AB - Background: Paraspinal musculature forms one of the largest muscle compartments of the human body, but evidence for regional variation of its composition and dependency on gender or body mass index (BMI) is scarce. Methods: This study applied six-echo chemical shift encoding-based water-fat magnetic resonance imaging (MRI) at 3 Tesla in 76 subjects (24 males and 52 females, age: 40.0±13.7 years, BMI: 25.4±5.6 kg/m2) to evaluate the proton density fat fraction (PDFF) of psoas muscles and erector spinae muscles, with the latter being divided into three segments in relation to levels of spine anatomy (L3–L5, T12–L2, and T9–T11). Results: For the psoas muscles and the erector spinae muscles (L3–L5), gender differences in PDFF values were observed (PDFF psoas muscles: males: 5.1%±3.4% vs. females: 6.0%±2.2%, P=0.006; PDFF erector spinae muscles L3–L5: males: 10.7%±7.6% vs. females: 18.2%±6.8%, P<0.001). Furthermore, the PDFF of the erector spinae muscles (L3–L5) showed higher PDFF values when compared to the other segments (PDFF erector spinae muscles L3–L5 vs. T12–L2: P<0.001; PDFF erector spinae muscles L3–L5 vs. T9–T11: P<0.001) and showed to be independent of BMI, which was not the case for the other segments (T12–L2 or T9–T11) or the psoas muscles. When considering age and BMI as control variables, correlations of PDFF between segments of the erector spinae muscles remained significant for both genders. Conclusions: This study explored regional variation of paraspinal muscle composition and dependency on gender and BMI, thus offering new insights into muscle physiology. The PDFF of the erector spinae muscles (L3–L5) was independent of BMI, suggesting that this level may be suited for representative paraspinal muscle segmentation and PDFF extraction as a biomarker for muscle alterations in the future.
KW - Muscular fat deposition
KW - Paraspinal musculature
KW - Proton density fat fraction (PDFF)
KW - Quantitative imaging
KW - Spine
UR - http://www.scopus.com/inward/record.url?scp=85091080545&partnerID=8YFLogxK
U2 - 10.21037/qims.2020.01.10
DO - 10.21037/qims.2020.01.10
M3 - Article
AN - SCOPUS:85091080545
SN - 2223-4292
VL - 10
SP - 496
EP - 507
JO - Quantitative Imaging in Medicine and Surgery
JF - Quantitative Imaging in Medicine and Surgery
IS - 2
ER -