Literature DB >> 20980659

A DXA-based mathematical model predicts midthigh muscle mass from magnetic resonance imaging in typically developing children but not in those with quadriplegic cerebral palsy.

Christopher M Modlesky1, Matthew L Cavaiola, Jarvis J Smith, David A Rowe, David L Johnson, Freeman Miller.   

Abstract

Valid methods for assessing regional muscle mass in children are needed. The aim of this study was to determine whether dual-energy X-ray absorptiometry (DXA) can accurately estimate midthigh muscle mass from MRI (muscle(MRI)) in typically developing children and children with quadriplegic cerebral palsy (CP). A mathematical model predicting muscle(MRI) from midthigh, fat-free soft tissue mass from DXA (FFST(DXA)) was developed using 48 typically developing children (6-13 y) and was validated using the leave-one-out method. The model was also tested in children with quadriplegic CP (n = 10). The model produced valid estimates of midthigh muscle mass (muscle(DXA)) in typically developing children, as indicated by a very strong relationship between muscle(DXA) and muscle(MRI) (r(2) = 0.95; SEE = 68 g; P < 0.001), no difference in muscle(DXA) and muscle(MRI) (P = 0.951), and visual examination using a Bland-Altman plot. Muscle(DXA) was very strongly related to muscle(MRI) in children with CP (r(2) = 0.96; SEE = 54 g; P < 0.001); however, muscle(DXA) overestimated muscle(MRI) by 15% (P = 0.006). The overestimation of muscle(MRI) by muscle(DXA) was strongly related to the lower ratio of muscle(MRI) to FFST(DXA) (muscle(MRI)/FFST(DXA)) in children with CP (r(2) = 0.75; P = 0.001). The findings suggest that the DXA-based mathematical model developed in the current study can accurately estimate midthigh muscle mass in typically developing children. However, a population-specific model that takes into account the lower muscle(MRI)/FFST(DXA) is needed to estimate midthigh muscle mass in children with quadriplegic CP.

Entities:  

Mesh:

Year:  2010        PMID: 20980659      PMCID: PMC2981008          DOI: 10.3945/jn.110.126219

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  37 in total

1.  Regional skeletal muscle measurement: evaluation of new dual-energy X-ray absorptiometry model.

Authors:  W Wang; Z Wang; M S Faith; D Kotler; R Shih; S B Heymsfield
Journal:  J Appl Physiol (1985)       Date:  1999-09

2.  Assessment of skeletal muscle mass in men with spinal cord injury using dual-energy X-ray absorptiometry and magnetic resonance imaging.

Authors:  Christopher M Modlesky; C Scott Bickel; Jill M Slade; Ronald A Meyer; Kirk J Cureton; Gary A Dudley
Journal:  J Appl Physiol (1985)       Date:  2003-10-03

3.  Quadriceps femoris muscle morphology and function after ACL injury: a differential response in copers versus non-copers.

Authors:  Glenn N Williams; Lynn Snyder-Mackler; Peter J Barrance; Thomas S Buchanan
Journal:  J Biomech       Date:  2005-04       Impact factor: 2.712

4.  Cadaver validation of skeletal muscle measurement by magnetic resonance imaging and computerized tomography.

Authors:  N Mitsiopoulos; R N Baumgartner; S B Heymsfield; W Lyons; D Gallagher; R Ross
Journal:  J Appl Physiol (1985)       Date:  1998-07

5.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

6.  CDC growth charts: United States.

Authors:  R J Kuczmarski; C L Ogden; L M Grummer-Strawn; K M Flegal; S S Guo; R Wei; Z Mei; L R Curtin; A F Roche; C L Johnson
Journal:  Adv Data       Date:  2000-06-08

7.  Fractures in patients with cerebral palsy.

Authors:  Ana Presedo; Kirk W Dabney; Freeman Miller
Journal:  J Pediatr Orthop       Date:  2007-03       Impact factor: 2.324

8.  Validity of fan-beam dual-energy X-ray absorptiometry for measuring fat-free mass and leg muscle mass. Health, Aging, and Body Composition Study--Dual-Energy X-ray Absorptiometry and Body Composition Working Group.

Authors:  M Visser; T Fuerst; T Lang; L Salamone; T B Harris
Journal:  J Appl Physiol (1985)       Date:  1999-10

9.  Dual-energy X-ray absorptiometry is a valid tool for assessing skeletal muscle mass in older women.

Authors:  Zhao Chen; ZiMian Wang; Timothy Lohman; Steven B Heymsfield; Eric Outwater; Jennifer S Nicholas; Tamsen Bassford; Andrea LaCroix; Duane Sherrill; Mark Punyanitya; Guanglin Wu; Scott Going
Journal:  J Nutr       Date:  2007-12       Impact factor: 4.798

10.  Fatty infiltration of the gastrocsoleus after tendo-achilles lengthening and gastrocnemius recession in a rabbit model.

Authors:  Branyan A Booth; Ronald J Mistovich; Martin Janout; Harold F Stills; Richard T Laughlin
Journal:  Foot Ankle Int       Date:  2009-08       Impact factor: 2.827

View more
  9 in total

1.  Greater Visceral Fat but No Difference in Measures of Total Body Fat in Ambulatory Children With Spastic Cerebral Palsy Compared to Typically Developing Children.

Authors:  Daniel G Whitney; Harshvardhan Singh; Chuan Zhang; Freeman Miller; Christopher M Modlesky
Journal:  J Clin Densitom       Date:  2018-09-22       Impact factor: 2.617

2.  Are muscle volume differences related to concentric muscle work during walking in spastic hemiplegic cerebral palsy?

Authors:  Jacques Riad; Christopher M Modlesky; E M Gutierrez-Farewik; Eva Broström
Journal:  Clin Orthop Relat Res       Date:  2012-05       Impact factor: 4.176

3.  Advances in the science and application of body composition measurement.

Authors:  Vickie Baracos; Paolo Caserotti; Carrie P Earthman; David Fields; Dympna Gallagher; Kevin D Hall; Steven B Heymsfield; Manfred J Müller; Antonella Napolitano Rosen; Claude Pichard; Leanne M Redman; Wei Shen; John A Shepherd; Diana Thomas
Journal:  JPEN J Parenter Enteral Nutr       Date:  2012-01       Impact factor: 4.016

4.  Muscle volume is related to trabecular and cortical bone architecture in typically developing children.

Authors:  Deepti Bajaj; Brianne M Allerton; Joshua T Kirby; Freeman Miller; David A Rowe; Ryan T Pohlig; Christopher M Modlesky
Journal:  Bone       Date:  2015-07-15       Impact factor: 4.398

Review 5.  Complicated Muscle-Bone Interactions in Children with Cerebral Palsy.

Authors:  Christopher M Modlesky; Chuan Zhang
Journal:  Curr Osteoporos Rep       Date:  2020-02       Impact factor: 5.096

6.  The pattern of trabecular bone microarchitecture in the distal femur of typically developing children and its effect on processing of magnetic resonance images.

Authors:  Christopher M Modlesky; Daniel G Whitney; Patrick T Carter; Brianne M Allerton; Joshua T Kirby; Freeman Miller
Journal:  Bone       Date:  2013-11-20       Impact factor: 4.398

7.  Statistical Models to Assess Leg Muscle Mass in Ambulatory Children With Spastic Cerebral Palsy Using Dual-Energy X-Ray Absorptiometry.

Authors:  Chuan Zhang; Daniel G Whitney; Harshvardhan Singh; Jill M Slade; Ye Shen; Freeman Miller; Christopher M Modlesky
Journal:  J Clin Densitom       Date:  2018-12-15       Impact factor: 2.617

8.  Quantifying bone marrow fat using standard T1-weighted magnetic resonance images in children with typical development and in children with cerebral palsy.

Authors:  Chuan Zhang; Jill M Slade; Freeman Miller; Christopher M Modlesky
Journal:  Sci Rep       Date:  2020-03-09       Impact factor: 4.379

9.  BMI does not capture the high fat mass index and low fat-free mass index in children with cerebral palsy and proposed statistical models that improve this accuracy.

Authors:  Daniel G Whitney; Freeman Miller; Ryan T Pohlig; Christopher M Modlesky
Journal:  Int J Obes (Lond)       Date:  2018-09-04       Impact factor: 5.095

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.