Assessment of lumbar paraspinal muscle morphology using mDixon
Quant magnetic resonance imaging (MRI): a cross-sectional study
in healthy subjects

J 2024

Assessment of lumbar paraspinal muscle morphology using mDixon Quant magnetic resonance imaging (MRI): a cross-sectional study in healthy subjects

KRKOŠKA, Peter, Viktória KOKOŠOVÁ, Marek DOSTÁL, Daniela VLAŽNÁ, Miloš KEŘKOVSKÝ et. al.

Základní údaje

Originální název

Assessment of lumbar paraspinal muscle morphology using mDixon Quant magnetic resonance imaging (MRI): a cross-sectional study in healthy subjects

Autoři

KRKOŠKA, Peter (703 Slovensko, domácí), Viktória KOKOŠOVÁ (703 Slovensko, domácí), Marek DOSTÁL (203 Česká republika, domácí), Daniela VLAŽNÁ (703 Slovensko, domácí), Miloš KEŘKOVSKÝ (203 Česká republika, domácí), Matej STRAKA (703 Slovensko, domácí), Radim GERSTBERGER (203 Česká republika), Kateřina MATULOVÁ (203 Česká republika, domácí), Petra OVESNÁ (203 Česká republika) a Blanka ADAMOVÁ (203 Česká republika, domácí)

Vydání

QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, SHATIN, AME PUBL CO, 2024, 2223-4292

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30210 Clinical neurology

Stát vydavatele

Čína

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.800 v roce 2022

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.21037/qims-23-1796

UT WoS

001312974100010

Klíčová slova anglicky

Magnetic resonance imaging (MRI); chemical shift imaging; lumbar spine; paraspinal muscles; biomarkers

Štítky

14110216, 14110221, 14110511, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 8. 10. 2024 14:10, Mgr. Tereza Miškechová

Anotace

V originále

Background: Lumbar paraspinal muscles (LPM) are a part of the deep spinal stabilisation system and play an important role in stabilising the lumbar spine and trunk. Inadequate function of these muscles is thought to be an essential aetiological factor in low back pain, and several neuromuscular diseases are characterised by dysfunction of LPM. The main aims of our study were to develop a methodology for LPM assessment using advanced magnetic resonance imaging (MRI) methods, including a manual segmentation process, to confirm the measurement reliability, to evaluate the LPM morphological parameters [fat fraction (FF), total muscle volume (TMV) and functional muscle volume (FMV)] in a healthy population, to study the influence of physiological factors on muscle morphology, and to build equations to predict LPM morphological parameters in a healthy population. Methods: This prospective cross-sectional observational comparative single-centre study was conducted at the University Hospital in Brno, enrolling healthy volunteers from April 2021 to March 2023. MRI of the lumbar spine and LPM (erector spinae muscle and multifidus muscle) were performed using a 6-point Dixon gradient echo sequence. The segmentation of the LPM and the control muscle (psoas muscle) was done manually to obtain FF and TMV in a range from Th12/L1 to L5/S1. Intra-rater and inter-rater reliability were evaluated. Linear regression models were constructed to assess the effect of physiological factors on muscle FF, TMV and FMV. Results: We enrolled 90 healthy volunteers (median age 38 years, 45 men). The creation of segmentation masks and the assessment of FF and TMV proved reliable (Dice coefficient 84% to 99%, intraclass correlation coefficient >= 0.97). The univariable models showed that FF of LPM was influenced the most by age (39.6% to 44.8% of variability, P<0.001); TMV and FMV by subject weight (34.9% to 67.6% of variability, P<0.001) and sex (24.7% to 64.1% of variability, P<0.001). Multivariable linear regression modelsfor FF of LPM included age, body mass index and sex, with R-squared values ranging from 45.4% to 51.1%. Models for volumes of LPM included weight, age and sex, with R-squared values ranged from 37.4% to 76.8%. Equations were developed to calculate predicted FF, TMV and FMV for each muscle. Conclusions: A reliable methodology has been developed to assess the morphological parameters (biomarkers) of the LPM. The morphological parameters of the LPM are significantly influenced by physiological factors. Equations were constructed to calculate the predicted FF, TMV and FMV of individual muscles in relation to anthropometric parameters, age, and sex. This study, which presented LPM assessment methodology and predicted values of LPM morphological parameters in a healthy population, could improve our understanding of diseases involving LPM (low back pain and some neuromuscular diseases).

Návaznosti

MUNI/A/1186/2022, interní kód MU

Název: Diagnostika a patofyziologie neuropatické bolesti a dalších symptomů a komorbidit neurologických onemocnění

Investor: Masarykova univerzita, Diagnostika a patofyziologie neuropatické bolesti a dalších symptomů a komorbidit neurologických onemocnění

Citovat

KRKOŠKA, Peter, Viktória KOKOŠOVÁ, Marek DOSTÁL, Daniela VLAŽNÁ, Miloš KEŘKOVSKÝ, Matej STRAKA, Radim GERSTBERGER, Kateřina MATULOVÁ, Petra OVESNÁ a Blanka ADAMOVÁ. Assessment of lumbar paraspinal muscle morphology using mDixon Quant magnetic resonance imaging (MRI): a cross-sectional study in healthy subjects. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY. SHATIN: AME PUBL CO, 2024, roč. 14, č. 8, s. 1-22. ISSN 2223-4292. Dostupné z: https://dx.doi.org/10.21037/qims-23-1796.

@article{2440218,
   author = {Krkoška, Peter and Kokošová, Viktória and Dostál, Marek and Vlažná, Daniela and Keřkovský, Miloš and Straka, Matej and Gerstberger, Radim and Matulová, Kateřina and Ovesná, Petra and Adamová, Blanka},
   article_location = {SHATIN},
   article_number = {8},
   doi = {http://dx.doi.org/10.21037/qims-23-1796},
   keywords = {Magnetic resonance imaging (MRI); chemical shift imaging; lumbar spine; paraspinal muscles; biomarkers},
   language = {eng},
   issn = {2223-4292},
   journal = {QUANTITATIVE IMAGING IN MEDICINE AND SURGERY},
   title = {Assessment of lumbar paraspinal muscle morphology using mDixon Quant magnetic resonance imaging (MRI): a cross-sectional study in healthy subjects},
   url = {https://qims.amegroups.org/article/view/126986/html},
   volume = {14},
   year = {2024}
}

TY  - JOUR
ID  - 2440218
AU  - Krkoška, Peter - Kokošová, Viktória - Dostál, Marek - Vlažná, Daniela - Keřkovský, Miloš - Straka, Matej - Gerstberger, Radim - Matulová, Kateřina - Ovesná, Petra - Adamová, Blanka
PY  - 2024
TI  - Assessment of lumbar paraspinal muscle morphology using mDixon Quant magnetic resonance imaging (MRI): a cross-sectional study in healthy subjects
JF  - QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
VL  - 14
IS  - 8
SP  - 1-22
EP  - 1-22
PB  - AME PUBL CO
SN  - 22234292
KW  - Magnetic resonance imaging (MRI)
KW  - chemical shift imaging
KW  - lumbar spine
KW  - paraspinal muscles
KW  - biomarkers
UR  - https://qims.amegroups.org/article/view/126986/html
N2  - Background: Lumbar paraspinal muscles (LPM) are a part of the deep spinal stabilisation system and play an important role in stabilising the lumbar spine and trunk. Inadequate function of these muscles is thought to be an essential aetiological factor in low back pain, and several neuromuscular diseases are characterised by dysfunction of LPM. The main aims of our study were to develop a methodology for LPM assessment using advanced magnetic resonance imaging (MRI) methods, including a manual segmentation process, to confirm the measurement reliability, to evaluate the LPM morphological parameters [fat fraction (FF), total muscle volume (TMV) and functional muscle volume (FMV)] in a healthy population, to study the influence of physiological factors on muscle morphology, and to build equations to predict LPM morphological parameters in a healthy population. Methods: This prospective cross-sectional observational comparative single-centre study was conducted at the University Hospital in Brno, enrolling healthy volunteers from April 2021 to March 2023. MRI of the lumbar spine and LPM (erector spinae muscle and multifidus muscle) were performed using a 6-point Dixon gradient echo sequence. The segmentation of the LPM and the control muscle (psoas muscle) was done manually to obtain FF and TMV in a range from Th12/L1 to L5/S1. Intra-rater and inter-rater reliability were evaluated. Linear regression models were constructed to assess the effect of physiological factors on muscle FF, TMV and FMV. Results: We enrolled 90 healthy volunteers (median age 38 years, 45 men). The creation of segmentation masks and the assessment of FF and TMV proved reliable (Dice coefficient 84% to 99%, intraclass correlation coefficient >= 0.97). The univariable models showed that FF of LPM was influenced the most by age (39.6% to 44.8% of variability, P<0.001); TMV and FMV by subject weight (34.9% to 67.6% of variability, P<0.001) and sex (24.7% to 64.1% of variability, P<0.001). Multivariable linear regression modelsfor FF of LPM included age, body mass index and sex, with R-squared values ranging from 45.4% to 51.1%. Models for volumes of LPM included weight, age and sex, with R-squared values ranged from 37.4% to 76.8%. Equations were developed to calculate predicted FF, TMV and FMV for each muscle. Conclusions: A reliable methodology has been developed to assess the morphological parameters (biomarkers) of the LPM. The morphological parameters of the LPM are significantly influenced by physiological factors. Equations were constructed to calculate the predicted FF, TMV and FMV of individual muscles in relation to anthropometric parameters, age, and sex. This study, which presented LPM assessment methodology and predicted values of LPM morphological parameters in a healthy population, could improve our understanding of diseases involving LPM (low back pain and some neuromuscular diseases).
ER  -

KRKOŠKA, Peter, Viktória KOKOŠOVÁ, Marek DOSTÁL, Daniela VLAŽNÁ, Miloš KEŘKOVSKÝ, Matej STRAKA, Radim GERSTBERGER, Kateřina MATULOVÁ, Petra OVESNÁ a Blanka ADAMOVÁ. Assessment of lumbar paraspinal muscle morphology using mDixon Quant magnetic resonance imaging (MRI): a cross-sectional study in healthy subjects. \textit{QUANTITATIVE IMAGING IN MEDICINE AND SURGERY}. SHATIN: AME PUBL CO, 2024, roč.~14, č.~8, s.~1-22. ISSN~2223-4292. Dostupné z: https://dx.doi.org/10.21037/qims-23-1796.

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