Whole body composition was determined using DEXA. Total body fat mass (g) and total and regional lean mass (g) were measured using a Lunar DPX-MD + densitometer (GE Medical Systems, Madison, WI). Appendicular skeletal muscle mass (ASM, kg) was defined as the sum of the lean soft tissue mass of the arms and legs [16 (link)], and BMI-corrected ASM (ASM/BMI) was also calculated [17 (link)]. Handgrip strength was measured using a digital strength dynamometer (TKK 5401, Takei, Japan) to evaluate muscle strength. During the assessment, participants were asked to stand upright with their feet hip-width apart and arms extended straight down to the side unless they were physically limited. The dynamometer was held by the testing hand in a neutral (not flexed or extended) and comfortable position. Two trials for each hand were performed with a one-minute rest after each trial, and the values from both hands were averaged for analysis.
Lunar dpx md densitometer
Manufactured by GE Healthcare
Sourced in United States
The Lunar DPX-MD + densitometer is a medical device used to measure bone mineral density (BMD). It utilizes dual-energy X-ray absorptiometry (DXA) technology to assess bone health by scanning the patient's body and providing measurements of bone density.
Automatically generated - may contain errors
Lab products found in correlation
2 protocols using lunar dpx md densitometer
1
Whole-Body Composition and Muscle Strength
2
Standardized BMD Measurement and Osteoporosis Diagnosis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The BMD values of the participants registered in the KNHANES database and of the AFF patients in our hospital were measured at the LS (L1–L4), FN, and TF by DXA using the Hologic QDR4500A (Hologic Inc., Waltham MA, USA) and Lunar DPXMD densitometer (GE Healthcare, Madison WI, USA). The precision errors for BMD measurements of both instruments were 1.9% and 1.5% in the LS and 1.8%–2.5% and 1.3%–2.2% in the femoral regions. To calibrate the BMD values of the AFF patients (from Lunar) to the KNHANES data (from Hologic), a cross-calibration equation as per a previous study16) (link) was applied.
T-score was standardized using the reference value provided by the World Health Organization (WHO).13) (link) The T-score of FN was generated by comparing the FN BMD values of the subjects with reference FN BMD values of Caucasian women aged 20–29 years derived from the National Health and Nutrition Survey III.17 (link)18) (link) The T-score of LS was generated by comparing the LS BMD values of the subjects with reference LS BMD values of Caucasian women aged 20–29 years derived from Hologic.18 (link)19) (link)
Osteoporosis was diagnosed based on the definition provided by the WHO: the lowest T-score among the FN, TF, and LS should be –2.5 or less, provided the T-scores of the FN and TF were measured in the unfractured femur.
T-score was standardized using the reference value provided by the World Health Organization (WHO).13) (link) The T-score of FN was generated by comparing the FN BMD values of the subjects with reference FN BMD values of Caucasian women aged 20–29 years derived from the National Health and Nutrition Survey III.17 (link)18) (link) The T-score of LS was generated by comparing the LS BMD values of the subjects with reference LS BMD values of Caucasian women aged 20–29 years derived from Hologic.18 (link)19) (link)
Osteoporosis was diagnosed based on the definition provided by the WHO: the lowest T-score among the FN, TF, and LS should be –2.5 or less, provided the T-scores of the FN and TF were measured in the unfractured femur.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!