Wounds Clinical Trial
Official title:
Evaluation of a 'Hand-held' Fluorescence Digital Imaging Device for Real-Time Advanced Wound Care Monitoring (JDRTC/UHN)
We have developed an innovative optical molecular imaging platform (called PRODIGI) based on
high-resolution fluorescence and white-light technologies in a hand-held, real-time,
high-resolution, non-invasive format. PRODIGI offers a non-contact means of obtaining
instantaneous image-based measurements of diagnostically-relevant biological and molecular
information of a wound and surrounding skin tissues for the first time and could have
significant impact on improving conventional wound care, management, and guidance of
intervention.
The investigators hypothesize that real-time imaging of tissue autofluorescence signals
emanating from endogenous connective tissue (e.g. collagen) and pathogenic bacteria within
complex wounds can be used to determine healing status (i.e., collagen re-modeling and wound
closure), detect wound bacterial contamination and/or infection that is occult under standard
clinical white light evaluation, and guide intervention during wound care.
The investigators have recently developed an innovative optical molecular imaging platform
(called PRODIGI) based on high-resolution fluorescence and white-light technologies in a
hand-held, real-time, high-resolution, non-invasive format. PRODIGI offers a non-contact
means of obtaining instantaneous image-based measurements of diagnostically-relevant
biological and molecular information of a wound and surrounding skin tissues for the first
time and could have significant impact on improving conventional wound care, management, and
guidance of intervention.
In preliminary preclinical testing, the investigators have discovered that when wounds are
illuminated by violet/blue light, endogenous collagen in the connective tissue matrix emit a
characteristic green fluorescent signal, while most pathogenic bacterial species emit a
unique red fluorescence signal due to the production of endogenous porphyrins. Therefore,
with autofluorescence imaging, no exogenous contrast agents are needed during imaging, making
this approach particularly appealing as a diagnostic imaging method for clinical use.
Based on extensive preclinical studies in our labs, PRODIGI has demonstrated its capability
at collecting autofluorescence images of wounds and detecting the presence and relative
changes in connective tissue (e.g. collagen) content and bio-distribution involved in wound
healing. It can also detect the presence and relative amounts of commensal and pathogenic
bacteria within the wound based on autofluorescence alone (these bacteria are invisible to
standard visualization with the naked eye using white light), thus providing a measure of
infection status. This could significantly impact clinical wound care and management by i)
reducing the complications associated with missed detection of bacterial infection under
conventional practice, ii) facilitating image-guided wound sampling by targeted
swabbing/biopsy and iii) monitoring wound healing and treatment response over time.
Previous Related Studies: A pilot-level clinical study (UHN REB protocol # 09-0015-A, PI:
DaCosta, 50 patients imaged to date) performed by our group from 2008-2011 to assess the
clinical utility of the device successfully demonstrated that tissue autofluorescence
produced by endogenous collagen/elastin in the skin appears green in the fluorescent images,
while most clinically-relevant bacterial colonies present in the wound produce a red
fluorescence signal caused by endogenous porphyrins. Some bacterial species (e.g. pseudomonas
aeruginosa) produce a green fluorescence signal that can be differentiated spectrally and
texturally from the fluorescence of the dermis (another hue of green, discernable by our
proprietary image analysis software). The PRODIGI device is sensitive enough to detect these
green and red fluorescence signals from tissue and bacteria confirming the utility of this
compact and portable imaging platform for clinical wound care.
The investigators hypothesize that real-time imaging of tissue autofluorescence signals
emanating from endogenous connective tissue (e.g. collagen) and pathogenic bacteria within
complex wounds can be used to determine healing status (i.e., collagen re-modeling and wound
closure), detect wound bacterial contamination and/or infection that is occult under standard
clinical white light evaluation, and guide intervention during wound care.
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