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RESEARCH PRODUCT

The Role of Imaging Biomarkers in the Assessment of Sarcopenia

Gracián García-martíAna Pablos-monzóPilar Pérez-rosFrancisco Miguel Martínez-arnauRoberto Sanz-requenaJoaquín Barrachina-igualCristina Flor-rufinoLuis Martí-bonmatí

subject

medicine.medical_specialtyClinical BiochemistryMuscle massArticle030218 nuclear medicine & medical imagingFat massIndependent walkingsarcopeniaolder people03 medical and health sciences0302 clinical medicineInternal medicinemagnetic resonance imagingMedicineStage (cooking)lcsh:R5-920medicine.diagnostic_testbusiness.industryMagnetic resonance imagingmedicine.diseaseSpanish populationSarcopeniabiomarkerBiomarker (medicine)sarcopenia; magnetic resonance imaging; biomarker; older peoplelcsh:Medicine (General)businesshuman activities030217 neurology & neurosurgery

description

Background: The diagnosis of sarcopenia through clinical assessment has some limitations. The literature advises studies that include objective markers along with clinical assessment in order to improve the sensitivity and specificity of current diagnostic criteria. The decrease of muscle quality precedes the loss of quantity, so we studied the role magnetic resonance imaging biomarkers as indicators of the quantity and quality of muscle in sarcopenia patients. Methods: a cross-sectional analysis was performed to analyze what MR-derived imaging parameters correlate better with sarcopenia diagnostic criteria in women of 70 years of age and over (independent walking and community-dwelling women who were sarcopenic in accordance with EWGSOP criteria with muscle mass adjusted to Spanish population were chosen). Results: The study included 26 women; 81 ± 8 years old. A strong correlation was obtained between cineanthropometric variables (BMI; thigh perimeter and fat mass) and imaging biomarkers (muscle/fat ratio, fatty infiltration, muscle T2*, water diffusion coefficient, and proton density fat fraction) with coefficients around 0.7 (absolute value). Conclusions: Knowing the correlation of clinical parameters and imaging-derived muscle quality indicators can help to identify older women at risk of developing sarcopenia at an early stage. This may allow taking preventive actions to decrease disability, morbidity, and mortality in sarcopenia patients.

https://doi.org/10.3390/diagnostics10080534