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Point-of-Care Autofluorescence Imaging for Real-Time Sampling and Treatment Guidance of Bioburden in Chronic Wounds: First-in-Human Results
BACKGROUND: Traditionally, chronic wound infection is diagnosed by visual inspection under white light and microbiological sampling, which are subjective and suboptimal, respectively, thereby delaying diagnosis and treatment. To address this, we developed a novel handheld, fluorescence imaging devic...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4366392/ https://www.ncbi.nlm.nih.gov/pubmed/25790480 http://dx.doi.org/10.1371/journal.pone.0116623 |
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author | DaCosta, Ralph S. Kulbatski, Iris Lindvere-Teene, Liis Starr, Danielle Blackmore, Kristina Silver, Jason I. Opoku, Julie Wu, Yichao Charlie Medeiros, Philip J. Xu, Wei Xu, Lizhen Wilson, Brian C. Rosen, Cheryl Linden, Ron |
author_facet | DaCosta, Ralph S. Kulbatski, Iris Lindvere-Teene, Liis Starr, Danielle Blackmore, Kristina Silver, Jason I. Opoku, Julie Wu, Yichao Charlie Medeiros, Philip J. Xu, Wei Xu, Lizhen Wilson, Brian C. Rosen, Cheryl Linden, Ron |
author_sort | DaCosta, Ralph S. |
collection | PubMed |
description | BACKGROUND: Traditionally, chronic wound infection is diagnosed by visual inspection under white light and microbiological sampling, which are subjective and suboptimal, respectively, thereby delaying diagnosis and treatment. To address this, we developed a novel handheld, fluorescence imaging device (PRODIGI) that enables non-contact, real-time, high-resolution visualization and differentiation of key pathogenic bacteria through their endogenous autofluorescence, as well as connective tissues in wounds. METHODS AND FINDINGS: This was a two-part Phase I, single center, non-randomized trial of chronic wound patients (male and female, ≥18 years; UHN REB #09-0015-A for part 1; UHN REB #12-5003 for part 2; clinicaltrials.gov Identifier: NCT01378728 for part 1 and NCT01651845 for part 2). Part 1 (28 patients; 54% diabetic foot ulcers, 46% non-diabetic wounds) established the feasibility of autofluorescence imaging to accurately guide wound sampling, validated against blinded, gold standard swab-based microbiology. Part 2 (12 patients; 83.3% diabetic foot ulcers, 16.7% non-diabetic wounds) established the feasibility of autofluorescence imaging to guide wound treatment and quantitatively assess treatment response. We showed that PRODIGI can be used to guide and improve microbiological sampling and debridement of wounds in situ, enabling diagnosis, treatment guidance and response assessment in patients with chronic wounds. PRODIGI is safe, easy to use and integrates into the clinical workflow. Clinically significant bacterial burden can be detected in seconds, quantitatively tracked over days-to-months and their biodistribution mapped within the wound bed, periphery, and other remote areas. CONCLUSIONS: PRODIGI represents a technological advancement in wound sampling and treatment guidance for clinical wound care at the point-of-care. TRIAL REGISTRATION: ClinicalTrials.gov NCT01651845; ClinicalTrials.gov NCT01378728 |
format | Online Article Text |
id | pubmed-4366392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-43663922015-03-23 Point-of-Care Autofluorescence Imaging for Real-Time Sampling and Treatment Guidance of Bioburden in Chronic Wounds: First-in-Human Results DaCosta, Ralph S. Kulbatski, Iris Lindvere-Teene, Liis Starr, Danielle Blackmore, Kristina Silver, Jason I. Opoku, Julie Wu, Yichao Charlie Medeiros, Philip J. Xu, Wei Xu, Lizhen Wilson, Brian C. Rosen, Cheryl Linden, Ron PLoS One Research Article BACKGROUND: Traditionally, chronic wound infection is diagnosed by visual inspection under white light and microbiological sampling, which are subjective and suboptimal, respectively, thereby delaying diagnosis and treatment. To address this, we developed a novel handheld, fluorescence imaging device (PRODIGI) that enables non-contact, real-time, high-resolution visualization and differentiation of key pathogenic bacteria through their endogenous autofluorescence, as well as connective tissues in wounds. METHODS AND FINDINGS: This was a two-part Phase I, single center, non-randomized trial of chronic wound patients (male and female, ≥18 years; UHN REB #09-0015-A for part 1; UHN REB #12-5003 for part 2; clinicaltrials.gov Identifier: NCT01378728 for part 1 and NCT01651845 for part 2). Part 1 (28 patients; 54% diabetic foot ulcers, 46% non-diabetic wounds) established the feasibility of autofluorescence imaging to accurately guide wound sampling, validated against blinded, gold standard swab-based microbiology. Part 2 (12 patients; 83.3% diabetic foot ulcers, 16.7% non-diabetic wounds) established the feasibility of autofluorescence imaging to guide wound treatment and quantitatively assess treatment response. We showed that PRODIGI can be used to guide and improve microbiological sampling and debridement of wounds in situ, enabling diagnosis, treatment guidance and response assessment in patients with chronic wounds. PRODIGI is safe, easy to use and integrates into the clinical workflow. Clinically significant bacterial burden can be detected in seconds, quantitatively tracked over days-to-months and their biodistribution mapped within the wound bed, periphery, and other remote areas. CONCLUSIONS: PRODIGI represents a technological advancement in wound sampling and treatment guidance for clinical wound care at the point-of-care. TRIAL REGISTRATION: ClinicalTrials.gov NCT01651845; ClinicalTrials.gov NCT01378728 Public Library of Science 2015-03-19 /pmc/articles/PMC4366392/ /pubmed/25790480 http://dx.doi.org/10.1371/journal.pone.0116623 Text en © 2015 DaCosta et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article DaCosta, Ralph S. Kulbatski, Iris Lindvere-Teene, Liis Starr, Danielle Blackmore, Kristina Silver, Jason I. Opoku, Julie Wu, Yichao Charlie Medeiros, Philip J. Xu, Wei Xu, Lizhen Wilson, Brian C. Rosen, Cheryl Linden, Ron Point-of-Care Autofluorescence Imaging for Real-Time Sampling and Treatment Guidance of Bioburden in Chronic Wounds: First-in-Human Results |
title |
Point-of-Care Autofluorescence Imaging for Real-Time Sampling and Treatment Guidance of Bioburden in Chronic Wounds: First-in-Human Results
|
title_full |
Point-of-Care Autofluorescence Imaging for Real-Time Sampling and Treatment Guidance of Bioburden in Chronic Wounds: First-in-Human Results
|
title_fullStr |
Point-of-Care Autofluorescence Imaging for Real-Time Sampling and Treatment Guidance of Bioburden in Chronic Wounds: First-in-Human Results
|
title_full_unstemmed |
Point-of-Care Autofluorescence Imaging for Real-Time Sampling and Treatment Guidance of Bioburden in Chronic Wounds: First-in-Human Results
|
title_short |
Point-of-Care Autofluorescence Imaging for Real-Time Sampling and Treatment Guidance of Bioburden in Chronic Wounds: First-in-Human Results
|
title_sort | point-of-care autofluorescence imaging for real-time sampling and treatment guidance of bioburden in chronic wounds: first-in-human results |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4366392/ https://www.ncbi.nlm.nih.gov/pubmed/25790480 http://dx.doi.org/10.1371/journal.pone.0116623 |
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