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Preclosure spectroscopic differences between healed and dehisced traumatic wounds
- Source :
- PLoS ONE, Vol 13, Iss 9, p e0204453 (2018), PLoS ONE
- Publication Year :
- 2018
- Publisher :
- Public Library of Science (PLoS), 2018.
-
Abstract
- BACKGROUND The complexity and severity of traumatic wounds in military and civilian trauma demands improved wound assessment, before, during, and after treatment. Here, we explore the potential of 3 charge-coupled device (3CCD) imaging values to distinguish between traumatic wounds that heal following closure and those that fail. Previous studies demonstrate that normalized 3CCD imaging values exhibit a high correlation with oxygen saturation and allow for comparison of values between diverse clinical settings, including utilizing different equipment and lighting. METHODS We screened 119 patients at Walter Reed National Military Medical Center and at Grady Memorial Hospital with at least one traumatic extremity wound of ≥ 75 cm2. We collected images of each wound during each debridement surgery for a total of 66 patients. An in-house written computer application selected a region of interest in the images, separated the pixel color values, calculated relative values, and normalized them. We followed patients until the enrolled wounds were surgically closed, quantifying the number of wounds that dehisced (defined as wound failure or infection requiring return to the operating room after closure) or healed. RESULTS Wound failure occurred in 20% (19 of 96) of traumatic wounds. Normalized intensity values for patients with wounds that healed successfully were, on average, significantly different from values for patients with wounds that failed (p ≤ 0.05). Simple thresholding models and partial least squares discriminant analysis models performed poorly. However, a hierarchical cluster analysis model created with 17 variables including 3CCD data, wound surface area, and time from injury predicts wound failure with 76.9% sensitivity, 76.5% specificity, 76.6% accuracy, and a diagnostic odds ratio of 10.8 (95% confidence interval: 2.6-45.9). CONCLUSIONS Imaging using 3CCD technology may provide a non-invasive and cost-effective method of aiding surgeons in deciding if wounds are ready for closure and could potentially decrease the number of required debridements and hospital days. The process may be automated to provide real-time feedback in the operating room and clinic. The low cost and small size of the cameras makes this technology attractive for austere and shipboard environments where space and weight are at a premium.
- Subjects :
- Male
Critical Care and Emergency Medicine
Medical Doctors
Physiology
Health Care Providers
Wound surface
lcsh:Medicine
Cohort Studies
0302 clinical medicine
Mathematical and Statistical Techniques
Postoperative Complications
Medicine and Health Sciences
Image Processing, Computer-Assisted
Medicine
Medical Personnel
lcsh:Science
Trauma Medicine
Principal Component Analysis
Multidisciplinary
integumentary system
Prognosis
Professions
Pixel color
030220 oncology & carcinogenesis
Physical Sciences
Preoperative Period
Engineering and Technology
Female
After treatment
Statistics (Mathematics)
Research Article
Adult
medicine.medical_specialty
Imaging Techniques
Trauma Surgery
Equipment
Surgical and Invasive Medical Procedures
Image Analysis
Research and Analysis Methods
03 medical and health sciences
Wound assessment
Region of interest
Physicians
Tissue Repair
Humans
Statistical Methods
Hospital days
Surgeons
Wound Healing
business.industry
Imaging Equipment
Spectrum Analysis
lcsh:R
Biology and Life Sciences
030208 emergency & critical care medicine
Confidence interval
Surgery
Health Care
Multivariate Analysis
People and Places
Diagnostic odds ratio
Wounds and Injuries
Population Groupings
lcsh:Q
business
Physiological Processes
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 13
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....6bf33ff69ce95a9d29ccb8051a6802e0