The clinical and laboratory diagnosis of the skeletal muscle mass index (i.e. presence of sarcopenia) was made by means of lunar DXA examination (model DPX-MD; General Electric Company, United States), in order to characterize the sarcopenia profile of the elderly women. The parameters considered for the diagnosis of sarcopenia were ≤ 7.0 kg/m2 for men and ≤ 6.0 kg/m2 for women.6 (link),33 (link) This calculation was performed by means of the software inserted into the device and was called the skeletal muscle mass index. It was defined as the sum of the appendicular lean mass (as a volume) in the arm and leg segments, divided by the height squared.
Dpx md
Manufactured by GE Healthcare
Sourced in United States
The DPX-MD is a compact and versatile dual-energy X-ray absorptiometry (DXA) system designed for bone mineral density (BMD) assessments. It provides accurate measurements of bone density and body composition.
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Lab products found in correlation
6 protocols using dpx md
1
Sarcopenia Diagnosis via Lunar DXA
2
Bone Density Measurement in Rats
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After 8 weeks of treatment, the weight of the model rats was measured. The rats were injected and anesthetized with phenobarbital (30 mg/kg) in lower abdomen. The lumbar vertebra BMD (in g/cm2) of rats was measured by dual-energy X-ray absorptiometry (DPX-MD type produced by GE, USA).
3
Sarcopenia Assessment Using DXA Scans
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Whole body composition was assessed using dual-energy X-ray absorptiometry (DXA) (DPX-MD+, General Electric, Madison, WI, USA). Appendicular skeletal muscle mass (ASM) was defined as the sum of the lean soft tissue masses for the arms and legs, assuming that all nonfat and nonbone tissue was skeletal muscle. Sarcopenia was defined as an ASM/height2 less than 1 standard deviation (SD) below the gender-specific normal mean of a younger reference group of our population (class 1 sarcopenia) (men and women aged 47–50 yrs; n = 517) [17 (link)]. The cutoff values for sarcopenia based on the 1 SD below the mean of young adults in this study were 7.34 kg/m2 and 5.65 kg/m2 for men and women, respectively. Class 2 sarcopenia, defined as an ASM/height2 less than 2 SD below the gender-specific normal mean of young adults (cutoff value 6.60 kg/m2 for men and 5.10 kg/m2 for women), was not considered in our study since such criteria resulted in a very low frequency of sarcopenia in total men (n = 18, 3%) and women (n = 13, 2.2%).
4
Whole-Body Composition Analysis via DXA
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The evaluation of body composition including the lean tissue was carried out under fasting conditions or at least two hours after the most recent light meal or drinks, following established guidelines and using a DXA (DPX-MD+; GE Lunar Madison, WI, USA). Regional body composition components were determined from the DXA scans, following the recommended anatomical landmarks. The sum of nonfat plus nonbone tissue in both arms and legs was used to represent ASM [17 (link)]. Limb skeletal muscle mass represents 75% of total body skeletal muscle [18 (link)]. Other body composition components, such as total body lean tissue and fat mass, were also assessed. From DXA-derived ASM, total-body skeletal muscle mass was predicted using Kim's equation [19 (link)].
5
Bone Density Assessment using DXA
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The values obtained for weight, height, age and sex were entered into the program of the Lunar dual X-ray densitometry DPX-MD+ using software 5.0 (GE, Milwaukee, WI, USA). Each woman was placed in the position indicated in the manufacturer’s protocol and measurements of the femoral neck (FN), total femur (TF), and lumbar spine (LS) were taken.
6
Body Composition and Muscle Strength Assessment
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Fat mass, fat-free mass, and bone mineral content were assessed using a lunar DXA scanner (model DPX-MD, software 4.7, General Electric Healthcare, Lunar DPX-NT; England). The scanner was calibrated daily against the standard supplied by the manufacturer to avoid possible baseline drift.
All scanning and analyses were performed by the same operator to ensure consistency (Coratella et al., 2018) (link).
The impedance measurements were performed with a phase-sensitive bioimpedance analyzer (Bia Vitality, Harrisville, USA) at a frequency of 50 kHz. Bioimpedance parameters [Resistance (R) and reactance (Xc)] were analyzed according to the BIVA procedures (Piccoli et al., 1995) (link). Phase angle was calculated as the arctangent of Xc/R*180°/. Total, intra and extracellular water, body cell and muscle mass were estimated using specific bioimpedance-derived equations (Dittmar and Reber, 2004; (link)Looijaard et al., 2020; (link)Sergi et al., 1994; (link)Sun et al., 2003) (link).
The handgrip strength was measured using a manual dynamometer (EH101, Camry, Guangdong Province, China) for wrist flexion. Each participant was evaluated by keeping the dynamometer at a
All scanning and analyses were performed by the same operator to ensure consistency (Coratella et al., 2018) (link).
The impedance measurements were performed with a phase-sensitive bioimpedance analyzer (Bia Vitality, Harrisville, USA) at a frequency of 50 kHz. Bioimpedance parameters [Resistance (R) and reactance (Xc)] were analyzed according to the BIVA procedures (Piccoli et al., 1995) (link). Phase angle was calculated as the arctangent of Xc/R*180°/. Total, intra and extracellular water, body cell and muscle mass were estimated using specific bioimpedance-derived equations (Dittmar and Reber, 2004; (link)Looijaard et al., 2020; (link)Sergi et al., 1994; (link)Sun et al., 2003) (link).
The handgrip strength was measured using a manual dynamometer (EH101, Camry, Guangdong Province, China) for wrist flexion. Each participant was evaluated by keeping the dynamometer at a
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