OBJECTIVE:Muscle triglyceride can be assessed in vivo using computed tomography (CT) and 1H magnetic resonance spectroscopy (MRS), two techniques that are based on entirely different biophysical principles. Little is known, however, about the cross-correlation between these techniques and their test-retest reliability. RESEARCH METHODS AND PROCEDURES: We compared mean muscle attenuation (MA) in soleus and tibialis anterior (TA) muscles measured by CT with intra- and extramyocellular lipids (IMCL and EMCL, respectively) measured by MRS in 51 volunteers (26 to 72 years of age, BMI = 25.5 to 39.3 kg/m2). MA of midthighs was also measured in a subset (n = 19). Test-retest measurements were performed by CT (n = 6) and MRS (n = 10) in separate sets of volunteers. RESULTS:MA of soleus was significantly associated with IMCL (r = -0.64) and EMCL, which by multiple regression analysis was explained mostly by IMCL (p < 0.001) rather than EMCL (beta = -0.010, p = 0.94). Muscle triglyceride was lower in TA than in soleus, and MA of TA was significantly correlated with EMCL (r = -0.40) but not IMCL (r = -0.16). By CT, MA of midthighs was correlated with MA in soleus (r = 0.40, p = 0.07) and whole calf (r = 0.62, p < 0.05). Finally, both MA and IMCL were highly reliable in soleus (coefficient of variation = < 2% and 6.7%, respectively) and less reliable in TA (4% and 10%, respectively). DISCUSSION: These results support the use of both CT and MRS as reliable methods for assessing skeletal muscle lipid.
RCT Entities:
OBJECTIVE: Muscle triglyceride can be assessed in vivo using computed tomography (CT) and 1H magnetic resonance spectroscopy (MRS), two techniques that are based on entirely different biophysical principles. Little is known, however, about the cross-correlation between these techniques and their test-retest reliability. RESEARCH METHODS AND PROCEDURES: We compared mean muscle attenuation (MA) in soleus and tibialis anterior (TA) muscles measured by CT with intra- and extramyocellular lipids (IMCL and EMCL, respectively) measured by MRS in 51 volunteers (26 to 72 years of age, BMI = 25.5 to 39.3 kg/m2). MA of midthighs was also measured in a subset (n = 19). Test-retest measurements were performed by CT (n = 6) and MRS (n = 10) in separate sets of volunteers. RESULTS: MA of soleus was significantly associated with IMCL (r = -0.64) and EMCL, which by multiple regression analysis was explained mostly by IMCL (p < 0.001) rather than EMCL (beta = -0.010, p = 0.94). Muscle triglyceride was lower in TA than in soleus, and MA of TA was significantly correlated with EMCL (r = -0.40) but not IMCL (r = -0.16). By CT, MA of midthighs was correlated with MA in soleus (r = 0.40, p = 0.07) and whole calf (r = 0.62, p < 0.05). Finally, both MA and IMCL were highly reliable in soleus (coefficient of variation = < 2% and 6.7%, respectively) and less reliable in TA (4% and 10%, respectively). DISCUSSION: These results support the use of both CT and MRS as reliable methods for assessing skeletal muscle lipid.
Authors: D A Pan; S Lillioja; A D Kriketos; M R Milner; L A Baur; C Bogardus; A B Jenkins; L H Storlien Journal: Diabetes Date: 1997-06 Impact factor: 9.461
Authors: Donna H Ryan; Mark A Espeland; Gary D Foster; Steven M Haffner; Van S Hubbard; Karen C Johnson; Steven E Kahn; William C Knowler; Susan Z Yanovski Journal: Control Clin Trials Date: 2003-10
Authors: Iva Miljkovic; Allison L Kuipers; Jane A Cauley; Tanushree Prasad; Christine G Lee; Kristine E Ensrud; Peggy M Cawthon; Andrew R Hoffman; Thuy-Tien Dam; Christopher L Gordon; Joseph M Zmuda Journal: J Gerontol A Biol Sci Med Sci Date: 2015-04-02 Impact factor: 6.053
Authors: Qian Zhao; Joseph M Zmuda; Allison L Kuipers; Clareann H Bunker; Alan L Patrick; Ada O Youk; Iva Miljkovic Journal: Hypertension Date: 2017-03-06 Impact factor: 10.190
Authors: Iva Miljkovic; Jane A Cauley; Moira A Petit; Kristine E Ensrud; Elsa Strotmeyer; Yahtyng Sheu; Christopher L Gordon; Bret H Goodpaster; Clareann H Bunker; Alan L Patrick; Victor W Wheeler; Lewis H Kuller; Kimberly A Faulkner; Joseph M Zmuda Journal: J Clin Endocrinol Metab Date: 2009-05-19 Impact factor: 5.958
Authors: Cristina Lara-Castro; Bradley R Newcomer; Jennifer Rowell; Penny Wallace; Sara M Shaughnessy; A Julian Munoz; Alanna M Shiflett; Dana Y Rigsby; Jeannine C Lawrence; Daryl E Bohning; Steven Buchthal; W Timothy Garvey Journal: Metabolism Date: 2008-01 Impact factor: 8.694
Authors: Nicholas T Broskey; Diana N Obanda; Jeffrey H Burton; William T Cefalu; Eric Ravussin Journal: Metabolism Date: 2018-01-04 Impact factor: 8.694
Authors: A W Frank; J P Farthing; P D Chilibeck; C M Arnold; W P Olszynski; S A Kontulainen Journal: J Nutr Health Aging Date: 2015-01 Impact factor: 4.075
Authors: SoJung Lee; Anthony R Deldin; David White; YoonMyung Kim; Ingrid Libman; Michelle Rivera-Vega; Jennifer L Kuk; Sandra Sandoval; Chris Boesch; Silva Arslanian Journal: Am J Physiol Endocrinol Metab Date: 2013-09-17 Impact factor: 4.310