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Perometer (400T) measurement of lower limb volume:
An investigation of criterion validity
Cathy Bulley, Fiona Coutts, Andrew Grainger Queen Margaret University, Edinburgh, UK
Background
• Various musculoskeletal conditions limb volume
• Limb volume – outcome measuresFluid displacementGeometric calculations from limb
circumferences using tape measure Perometer – optoelectronic imaging device;
limb shape and volume (Pero-System GmbH)
Current Methods
• Fluid displacement: limb submerged in water, measurement of fluid displacedinconvenientunhygienicpoor reliabilityno information on
shape
• Geometric calculations from limb circumferences using tape measure frequently used
clinicallynon-standard
protocolsreliability issues
Circumferential Measurement• Limb circumference at specified
points on limb – quick, simple• Lack of agreement on measurement
points – specific anatomical landmarks or regular intervals e.g. 3 or 4 cm (Karges et al, 2003)
• Geometric formulae to estimate volume of different segments summed
• Different formulae used (e.g. disc model, truncated cone model)
• Reliability issues: e.g. tape measure tension (Brorson, 2000)
Perometer (Pero-System GmbH)
optoelectronic imaging device
limb shape and volume
quick, easy
Base plate
Frame
Track
Perometer estimation of limb volume
Positioned every 2.54 mm
Positioned every 1.27 mm
Diameter measurements every 4.7 mm
Summed volume of elliptical discs
• Perometer – gold standard? • Face validity• Lack of standardised protocol and research
• Criterion Validity:
This study compared lower limb volume measured using :
Geometric calculation from limb circumferences (Tape measure Disc model method, Man et al, 2004)
Perometer (400T: upright model)
Purpose
Standardised Protocol• Development of a
standardised protocolLimb position on the
base plate, and degree of rotation
Lower limb landmarks – standardised proportion of the limb for volume measurement
Greater trochanter
65% Femur
Lateral epicondyle
Lateral Malleolus
Validity Study
• Ethical approval: Physiotherapy Ethics Sub-Committee, QMU.
• 30 healthy volunteers: 22 F, 8Mmean age: 26mean height: 67.2 cmmean weight 171.0 kg.Exclusion criteria: relevant past medical history
Protocol 1• Participants requested to avoid vigorous exercise /alcohol consumption 24 hr before testing and avoid food / drink intake 1 hr before testing
• 15 minute rest period with limb elevated to 90°
• Standardised limb reference marks
Protocol 2
• Standardised limb reference marks
• Standardised positioning of limb in Perometer frame – use of spirit level
• Three Perometer measurements• Tape measurements at 3 cm
intervals• Assessor blinded to limb volume
Limb volume estimation
• Perometer: Volumes in ml calculated between two reference marks in perometer computer software
• Tape measurements: Disc model method (Man et al, 2004) in ml (1ml = 1 cm3)
Σ (C²/4π) x h
C = circumference of disc
h = height of disc
Statistical Analysis
• Shapiro-Wilk: Normality of distribution
• Parametric inferential statistics: ICC (3,1) Limits of agreement (Bland & Altman, 1986)
between two limb volume estimates
Results• Perometer limb
volume (x of 3)
= 8560 ml• Normal distribution
p=0.268
• Circumferential limb volume
= 8717 ml• Normal distribution
p=0.602
Difference 157 ml
• ICC (3,1): good association (0.952, p<0.001)
• Poor agreement 15.67% variation between estimates:
95% of Perometer estimates will be:
between 519 ml (6.01%) more and 834 ml (-9.66%) less than circumferential estimates
Bland-Altman LOA for Perometer and Cicumferential Measure
-840
-740
-640
-540
-440
-340
-240
-140
-40
60
160
260
360
460
560
660
760
6000 7000 8000 9000 10000 11000 12000
Average limb volumes by Perometer and Circumferential Measure (ml)
Dif
fere
nce
s in
mea
n v
olu
mes
of
Per
om
eter
an
d C
ircu
mfe
ren
tial
M
easu
re (
ml)
Mean + 2 S.D. 519.19 mls
Mean -157.48 mls
Mean - 2 S.D. -834.25 mls
Conclusions• Poor agreement – measurement methods
are not interchangeable Perometer – greater face validity Circumferential – more clinically feasible
• Results do not indicate accuracy of either method
• 21 / 30 data sets – overestimation by circumferential method
• More work is needed to determine accuracy
Acknowledgements
MSc pre registration Physiotherapy students:
• Nicola Dinsmore
• Georgina Enderson
• MaryAnne Geraghty
Sponsors:
School of Health Sciences, Queen Margaret University, Edinburgh
Centre for Integrated Healthcare Research, Edinburgh
THANK YOU
References• Bland J, Altman D (1986) Statistical methods for
assessing agreement between two methods of clinical measurement. The Lancet 8: 307-310
• Brorson H (2000) Liposuction gives complete reduction of chronic large arm lymphoedema after breast cancer. Acta Oncologica 39: 407-420
• Karges J, Mark B, Stikeleather S et al (2003) Concurrent validity of upper-extremity volume estimates. Physical Therapy 83: 134-145
• Man I, Markland K, Morrissey M (2004) The validity and reliability of the Perometer in evaluating human knee volume. Clinical Physiology and Functional Imaging 24: 352-358