| Literature DB >> 31426754 |
Peter Turton1, Richard Hay2, Ingeborg Welters3.
Abstract
BACKGROUND: Pocket-sized ultrasound devices are increasingly used in a variety of clinical situations, and perform well against standard ultrasound machines. We sought to investigate if a pocket-sized ultrasound device can assess muscle thickness and architecture in healthy volunteers.Entities:
Keywords: Fascicle length; Muscle architecture; Muscle ultrasound; Pennation angle
Mesh:
Year: 2019 PMID: 31426754 PMCID: PMC6699072 DOI: 10.1186/s12880-019-0373-x
Source DB: PubMed Journal: BMC Med Imaging ISSN: 1471-2342 Impact factor: 1.930
Fig. 1Representative ultrasound scans of the anterior thigh from the Telemed and Vscan systems (panels 1 and 2 respectively) and vastus lateralis (panels 3 and 4 respectively)
Legend: AMT: anterior thigh muscle thickness, RFMT: rectus femoris muscle thickness, VIMT: vastest intermedius muscle thickness, VLMT: vastus lateralis muscle thicknes, PA: pennation angle.
Participant demographics
| Variable (n = 21) | Mean value (SD) [Range] |
|---|---|
| Age (years) | 31.67 (14.96) [20–64] |
| Weight (kg) | 81.64 (12.95) [58–114] |
| Height (metres) | 1.80 (0.06) [1.61–1.91] |
| BMI (kg/m2) | 25.17 (3.40) [18.94–32.83] |
Mean differences between the two systems and the level of agreement
| Variable | Mean difference [SD] | P-value | ICC [95% CI] | P-value |
|---|---|---|---|---|
| VLMT (cm) | 0.05 [0.14] | 0.10 | 0.93 [0.83–0.97] | < 0.001 |
| VLPA (degrees) | 0.40 [1.72] | 0.29 | 0.90 [0.77–0.96] | < 0.001 |
| VLFL (cm) | 0.01 [1.04] | 0.99 | 0.84 [0.65–0.93] | < 0.001 |
| AMT (cm) | 0.09 [0.26] | 0.14 | 0.89 [0.76–0.96] | < 0.001 |
| RFMT (cm) | 0.06 [0.20] | 0.52 | 0.80 [0.58–0.91] | < 0.001 |
| VIMT (cm) | −0.03 [0.24] | 0.17 | 0.79 [0.55–0.91] | < 0.001 |
Fig. 2Bland Altman plots for the measured variables. Legend: Green line: mean difference, red lines: 95% limits of agreement, black dots: measurements within the limits of agreement, red dots: measurements outside of the limits of agreement
Regression coefficients for each variable
| Variable | Regression co-efficient | P-value |
|---|---|---|
| VLMT | 0.04 | 0.60 |
| VLPA | −0.04 | 0.66 |
| VLFL | −0.06 | 0.63 |
| AMT | −0.03 | 0.76 |
| RFMT | −0.11 | 0.45 |
| VIMT | −0.08 | 0.64 |