Logo image
Pressure injury prediction using diffusely scattered light
Journal article   Open access   Peer reviewed

Pressure injury prediction using diffusely scattered light

David Diaz, Alec Lafontant, Michael Neidrauer, Michael S Weingarten, Rose Ann DiMaria-Ghalili, Ericka Scruggs, Julianne Rece, Guy W Fried, Vladimir L Kuzmin and Leonid Zubkov
Journal of biomedical optics, v 22(2), pp 25003-025003
01 Feb 2017
PMID: 28301656
url
https://doi.org/10.1117/1.jbo.22.2.025003View
Published, Version of Record (VoR)Open Access (License Unspecified) Open
url
https://doi.org/10.1117/1.JBO.22.2.025003View
Published, Version of Record (VoR) Open

Abstract

Erythrocytes - chemistry Humans Moving and Lifting Patients - standards Predictive Value of Tests Pressure Ulcer - diagnostic imaging Pressure Ulcer - etiology Skin - diagnostic imaging Skin - injuries Spectroscopy, Near-Infrared Spinal Cord Injuries - complications
Pressure injuries (PIs) originate beneath the surface of the skin at the interface between bone and soft tissue. We used diffuse correlation spectroscopy (DCS) and diffuse near-infrared spectroscopy (DNIRS) to predict the development of PIs by measuring dermal and subcutaneous red cell motion and optical absorption and scattering properties in 11 spinal cord injury subjects with only nonbleachable redness in the sacrococcygeal area in a rehabilitation hospital and 20 healthy volunteers. A custom optical probe was developed to obtain continuous DCS and DNIRS data from sacrococcygeal tissue while the subjects were placed in supine and lateral positions to apply pressure from body weight and to release pressure, respectively. Rehabilitation patients were measured up to four times over a two-week period. Three rehabilitation patients developed open PIs (POs) within four weeks and eight patients did not (PNOs). Temporal correlation functions in the area of redness were significantly different ( p < 0.01 ) during both baseline and applied pressure stages for POs and PNOs. The results show that our optical method may be used for the early prediction of ulcer progression.

Metrics

12 Record Views
10 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Biochemical Research Methods
Optics
Radiology, Nuclear Medicine & Medical Imaging
Logo image