Validity of muscle thickness-based prediction equation for quadriceps femoris volume in middle-aged and older men and women

Nakatani, Miyuki; Takai, Yoshiaki; Akagi, Ryota; Wakahara, Toshihiko; Sugisaki, Norihide; Ohta, Masahito; Kawakami, Yasuo; Fukunaga, Tetsuo; Kanehisa, Hiroaki

doi:10.1007/s00421-016-3464-1

Cited by 19 publications

(28 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Furtheremore, the present studies determined WCs at two different sites. As described earlier, the magnitude of waist circumference varies with its measurement site [17, 18]. These aspects suggest that regression equation in the relationship between BM/W and total-body skeletal muscle volume would differ with race examined and measurement site adopted for waist circumference.…”

Section: Discussionmentioning

confidence: 96%

“…In addition to the aforementioned analyses, we tested the validity of the two BM/W models by using 10-fold cross-validation. In this analysis, fist, we randomized the order of the original data set for each of boys and girls, by using a random function from the spreadsheet software (Micrsoft Excell 2010, Microsoft CO., USA) [17], and then the randomized original data set was allocated into 10 subsets. The number of the subjects involved in a single subset was 7 for boys and 5 in 7 sub sets and 6 in 3 subsets for girls.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Body mass-to-waist ratio strongly correlates with skeletal muscle volume in children

Ohta¹,

Midorikawa²,

Hikihara³

et al. 2017

PLoS ONE

Self Cite

View full text Add to dashboard Cite

PurposeWe hypothesized that body mass-to-waist ratio is strongly associated with the total-body skeletal muscle volume (SMV) in children. The purpose of the present study was to examine this hypothesis.MethodsBy using magnetic resonance imaging, total-body SMV (SMVMRI) was determined in 70 boys and 53 girls aged 6 to 12 years. Waist was measured at each of the level of umbilicus (Wumb) and the minimum circumference (Wmin), and the ratio of body mass to each of the two measured values was calculated (BM/Wumb and BM/Wmin, respectively). A single regression analysis was used to examine the relationships between SMVMRI and either BM/Wumb or BM/Wmin. On the basis of the obtained regression equations, SMVMRI was estimated and referred to as SMVBM/Wumb or SMVBM/Wmin.ResultsIn both boys and girls, SMVMRI was highly correlated to BM/Wumb (r = 0.937 for boys and r = 0.939 for girls, P < 0.0001) and BM/Wmin (r = 0.915 and 0.942, P < 0.0001). R2 and the standard error of estimate for SMVBM/Wumb were 0.878 and 706.2 cm3, respectively, in boys and 0.882 and 825.3 cm3, respectively, in girls, and those for SMVBM/Wmin were 0.837 and 814.0 cm3, respectively, in boys and 0.888 and 804.1 cm3, respectively, in girls. In both boys and girls, there were no significant differences between SMVMRI and either SMVBM/Wumb or SMVBM/Wmin, without systematic errors in Band-Altman plots. There was no significant effect of model on the absolute values of the residuals in both boys and girls.ConclusionThe current results indicate that body mass-to-waist ratio can be a convenient outcome measure for assessing the total-body skeletal muscle volume in children.

show abstract

Section: Discussionmentioning

confidence: 96%

Section: Methodsmentioning

confidence: 99%

Body mass-to-waist ratio strongly correlates with skeletal muscle volume in children

Ohta¹,

Midorikawa²,

Hikihara³

et al. 2017

PLoS ONE

Self Cite

View full text Add to dashboard Cite

show abstract

“…Regressions and measured segments are presented in Table 2. Eight studies did further analysis with a Bland-Altman plot (25,29,30,32,33,35,36,38) and they found no systematic errors.…”

Section: Resultsmentioning

confidence: 99%

“…Five studies included only men (9,(32)(33)(34)(35). Four studies included both men and women (25,(36)(37)(38). Two studies included prepubertal children (29,30).…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Validity of ultrasonography derived predictions for estimating skeletal muscle volume- A systematic literature review

Liegnell

Wessman

Shalabi

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: The amount of muscle mass or muscle volume (MV) varies between individuals and is important for health, wellbeing, and performance. Imaging is a useful tool to monitor MV, magnetic resonance imaging (MRI) is considered gold standard. MRI are not always easily accessible, and the measurements are expensive, therefore ultrasonography (US) has become a more accessible method for estimating MV. Methods: A systematic literature review was conducted in the electronic databases PubMed, CINHAL and Web of Science with the purpose of collecting the current published equations to estimate MV with US and answering the following question: How well does US derived equations based on muscle thickness (MT) predict MV based on MRI? Results: The literature search resulted in 363 citations. Twelve articles met the eligibility criteria and were included. Ten articles scored eight out of eleven on the QUADAS score and two scored nine out of eleven. 36 different prediction equations were identified. Correlations were good, r values ranged between 0.53-0.961 and the standard error of estimates (SEE) ranged between 6-25.6%. Eight studies did further analysis with a Bland-Altman plot and found no systematic errors. The overall strength and quality of the evidence was rated as “low quality” as defined by the GRADE system. Conclusions: We conclude that the validity of US derived equations based on MT is specific to the populations from where it is developed. The agreement with MV based on MRI is moderate with SEE ranging between 6-12% in healthy populations. Suggestions for future research are to investigate if testing positions or increasing the number of measuring points could improve the validity for prediction equations.

show abstract

A clinically applicable tool for rapidly estimating muscle volume using ultrasound images

et al. 2019

View full text Add to dashboard Cite

PurposeThis study aimed to identify a safe, rapid, and accessible method of estimating muscle volume of key lower limb muscle groups to reduce the time-demand of acquiring this measurement and potentially facilitate its application as a clinical monitoring tool.MethodsUnilateral MRI images were acquired from the 12th thoracic vertebrae to the base of the foot in 18 recreationally active males. Panoramic B-mode ultrasound images were acquired from the same leg at the mid-hip, 25%, 50%, and 75% of thigh length, and 25% of shank length. Body mass, height, limb lengths, and circumferences at the sites corresponding to the ultrasound images were acquired. A single investigator manually analysed all images. Regression analyses were conducted to identify models for estimating volume of the hip extensor, knee extensor and flexor, and ankle plantarflexor muscle groups.ResultsModels were developed for estimating hip extensor (SEE = 8.92%, R2 = 0.690), knee extensor (SEE = 5.24%, R2 = 0.707) and flexor (SEE = 7.89%, R2 = 0.357), and ankle plantarflexor (SEE = 10.78%, R2 = 0.387) muscle group volumes. The hip and knee extensor models showed good potential for generalisation. Systematic error was observed for the knee flexor and ankle plantarflexor models.ConclusionsHip extensor, knee extensor and flexor, and ankle plantarflexor muscle group volumes can be estimated using B-mode ultrasound images and anthropometric measurements. The error shown for each of the models was sufficient to identify previously reported differences in muscle volume due to training or injury, supporting their clinical application.

show abstract

Validity of muscle thickness-based prediction equation for quadriceps femoris volume in middle-aged and older men and women

Abstract: For middle-aged and older individuals, the prediction equation previously derived from young men is not applicable, and the newly developed prediction equation with sex, MT, and thigh length as independent variables is applicable for estimating QFMV.

Cited by 19 publications

References 32 publications

Body mass-to-waist ratio strongly correlates with skeletal muscle volume in children

Body mass-to-waist ratio strongly correlates with skeletal muscle volume in children

Validity of ultrasonography derived predictions for estimating skeletal muscle volume- A systematic literature review

A clinically applicable tool for rapidly estimating muscle volume using ultrasound images

Contact Info

Product

Resources

About