A phantom-based method to assess X-ray table mattress interface pressures

Alresheedi, N ORCID: https://orcid.org/0000-0002-6506-0827, Walton, AL, Tootell, AK ORCID: https://orcid.org/0000-0002-8567-8659, Webb, J ORCID: https://orcid.org/0000-0003-0654-5530 and Hogg, P ORCID: https://orcid.org/0000-0002-6506-0827 2020, 'A phantom-based method to assess X-ray table mattress interface pressures' , Journal of Medical Imaging and Radiation Sciences, 51 (3) , pp. 417-424.

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Abstract

Background
Pressure redistribution performance of X-ray table mattresses can influence the development of pressure ulcers in at risk populations. Interface pressure analysis, with human participants, is a common method to assess mattresses. This approach has limitations that relate to the lack of standardisation between and within humans.
Aim
To develop and validate an anthropomorphic phantom-based method to assess X-ray table mattress interface pressures as an index of mattress performance.
Methods
A phantom simulating an adult head, pelvis and heels, was 3D printed from X-ray Computed Tomography image data and attached to a metal frame 175cm in length. Dry sand was added to the phantom head, pelvis and heels to represent a range of human weights. Pressure distribution was assessed using XSensor. Phantom validation was achieved by comparing phantom mattress interface pressure characteristics, for 5 human equivalent weights, against 27 sets of human mattress interface pressure data.
Results
Using the correlation coefficient R, phantom and human pressure data showed good correlation for the five phantom weights (R values: head=0.993, pelvis=0.997 and heels= 0.996).
Conclusion
A novel method to test X-ray mattresses for interface pressure was developed and validated. The method could have utility in the testing of X-ray mattresses that are in routine use and for new mattress development. Phantom interface pressure data could be provided by manufacturers to help inform procurement decisions when matching mattress characteristics to medical imaging demands and the underlying patient populations.

Item Type:	Article
Schools:	Schools > School of Health and Society > Centre for Health Sciences Research
Journal or Publication Title:	Journal of Medical Imaging and Radiation Sciences
Publisher:	Elsevier
ISSN:	1939-8654
Related URLs:	Publication
Depositing User:	P Hogg
Date Deposited:	22 Apr 2020 14:48
Last Modified:	15 Jan 2021 12:00
URI:	http://usir.salford.ac.uk/id/eprint/56893

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