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. 2017 Oct;14(10):1495–1503. doi: 10.1513/AnnalsATS.201612-967PS

Table 1.

Summary of limitations and challenges in using ultrasound for assessing muscle health

Challenge or Limitation Description of Challenge or Limitation
Identification of landmarks • Appropriate training is needed for consistent identification of landmarks.
• Standardized protocols on how to identify anatomical landmarks for measurement are lacking.
• Reporting standards (in publications) are lacking for landmarking.
• Reliability testing for landmarking is either lacking or included within the entire data acquisition process (i.e., probe placement, image analysis).
Reliability testing • Reporting on reliability testing is often lacking.
• Standardization on how a reliability test is performed and what is included in the testing procedure is lacking.
• Intra- and interreliability tests are either both lacking or only one of the two tests is performed using ultrasound and published in research studies.
Muscle site • Different muscles are often measured across different studies (rectus femoris vs. vastus lateralis, upper limb vs. lower limb, or a combination).
• Different methods are used for muscle quantity assessment (i.e., cross-sectional area vs. muscle layer thickness).
• Best site to capture muscle groups consistently are unclear (i.e. mid-thigh versus 2/3 femur length versus 3/5 femur length)
Image acquisition and analysis • Form of analysis varies across studies (i.e., muscle layer thickness, cross-sectional area, echogenicity). Some studies use a combination of these methods.
• Different body composition phenotypes present distinct challenges (e.g., obese individuals may have indistinguishable fascial boundaries, fatty infiltration may affect muscle thickness).
• Fluid status may affect measurements: use of minimal versus maximal compression.
Equipment use • Appropriate use and reporting of curvilinear versus linear probes
• Identification of a minimal level of resolution for echogenicity
• Software choice for image analysis varies
Normative data and interpretation of results • Limited studies that provide a healthy, homogeneous cohort for comparison
• Measurement reporting is essential for longitudinal evaluation but is currently missing in the literature.
• Identification of the smallest detectable change for clinically meaningful longitudinal analysis is needed.