Handheld 3D scanning as a minimally invasive measuring technique for neonatal anthropometry
Handheld 3D scanning as a minimally invasive measuring technique for neonatal anthropometry
Background
Measurement of length and head circumference (HC) in addition to weight is vital in assessing the nutritional status of preterm infants. Current anthropometry represents an interruption to preterm infants, and may not be possible in unstable infants. Handheld 3D scanning has the potential to perform bedside anthropometry (length and HC) in a less invasive manner. We aimed to evaluate the feasibility and performance of 3D scanning as a ‘non-touch’ measuring technique for routine anthropometry.
Methods
Preterm infants born before 30 weeks gestation were recruited from a single neonatal unit. HC and length were measured both manually and by a handheld 3D scanner at recruitment and weekly until discharge. The two methods were compared using the Bland-Altman method and linear regression.
Results
Seventeen infants had manual and 3D-scan measurements (67 HC, 87 length). The mean difference (95%CI) between manual and 3D-scan measures, as a percentage of the manual value, was 2.87% (2.27–3.47%) for HC and 3.10% (2.65–3.54%) for length. Correlation between manual and 3D measures was high; HC r = 0.957 and length 0.963. Bland-Altman plots showed reasonable agreement between the two methods, and there was a high correlation between scanner and manual measurements.
Conclusions
These data show a high correlation between measurements gathered from 3D scan images and standard anthropometry. However, 3D measures are not yet precise enough for routine clinical use. Refinement of technique/technology may translate into practical monitoring the growth of preterm infants with minimal handling and without interruption to developmental care.
279-282
Andrews, Edward T.
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Ashton, James
03369017-99b5-40ae-9a43-14c98516f37d
Pearson, Freya
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Beattie, R. Mark
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Johnson, Mark J.
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October 2019
Andrews, Edward T.
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Ashton, James
03369017-99b5-40ae-9a43-14c98516f37d
Pearson, Freya
1d52a3d9-8d84-481a-8274-81cbdccbc40a
Beattie, R. Mark
9a66af0b-f81c-485c-b01d-519403f0038a
Johnson, Mark J.
ce07b5dd-b12b-47df-a5df-cd3b9447c9ed
Andrews, Edward T., Ashton, James, Pearson, Freya, Beattie, R. Mark and Johnson, Mark J.
(2019)
Handheld 3D scanning as a minimally invasive measuring technique for neonatal anthropometry.
Clinical Nutrition ESPEN, 33, .
(doi:10.1016/j.clnesp.2019.06.012).
Abstract
Background
Measurement of length and head circumference (HC) in addition to weight is vital in assessing the nutritional status of preterm infants. Current anthropometry represents an interruption to preterm infants, and may not be possible in unstable infants. Handheld 3D scanning has the potential to perform bedside anthropometry (length and HC) in a less invasive manner. We aimed to evaluate the feasibility and performance of 3D scanning as a ‘non-touch’ measuring technique for routine anthropometry.
Methods
Preterm infants born before 30 weeks gestation were recruited from a single neonatal unit. HC and length were measured both manually and by a handheld 3D scanner at recruitment and weekly until discharge. The two methods were compared using the Bland-Altman method and linear regression.
Results
Seventeen infants had manual and 3D-scan measurements (67 HC, 87 length). The mean difference (95%CI) between manual and 3D-scan measures, as a percentage of the manual value, was 2.87% (2.27–3.47%) for HC and 3.10% (2.65–3.54%) for length. Correlation between manual and 3D measures was high; HC r = 0.957 and length 0.963. Bland-Altman plots showed reasonable agreement between the two methods, and there was a high correlation between scanner and manual measurements.
Conclusions
These data show a high correlation between measurements gathered from 3D scan images and standard anthropometry. However, 3D measures are not yet precise enough for routine clinical use. Refinement of technique/technology may translate into practical monitoring the growth of preterm infants with minimal handling and without interruption to developmental care.
Text
JJA_19_06_19_Handheld 3D scan
- Accepted Manuscript
More information
Accepted/In Press date: 28 June 2019
e-pub ahead of print date: 18 July 2019
Published date: October 2019
Identifiers
Local EPrints ID: 433617
URI: http://eprints.soton.ac.uk/id/eprint/433617
ISSN: 2405-4577
PURE UUID: 83dbee63-7dec-404b-b481-98a3eacb34cd
Catalogue record
Date deposited: 28 Aug 2019 16:30
Last modified: 16 Mar 2024 08:08
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Contributors
Author:
Edward T. Andrews
Author:
Freya Pearson
Author:
R. Mark Beattie
Author:
Mark J. Johnson
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