研究目的
To investigate whether optical coherence tomography (OCT) can provide new insights into the pathology of chronic wounds by imaging blood capillaries in the peri-wound skin.
研究成果
D-OCT effectively images vessel morphology in peri-wound skin, revealing non-normal structures such as glomeruli-like vessels in wound edges and centers, which differ significantly from healthy skin. This technique shows promise for differential diagnosis, assessment of wound healing, and providing new insights into chronic wound pathology, suggesting future studies should focus on larger sample sizes and quantitative data.
研究不足
The study has a small sample size restricted to lower extremity wounds, primarily of venous etiology. There is subjectivity in human observer assessment of vessel prevalence, and a lack of histological data or co-validation with other devices to confirm findings.
1:Experimental Design and Method Selection:
The study used dynamic optical coherence tomography (D-OCT) to image capillaries in peri-wound skin of chronic lower extremity wounds. D-OCT was chosen for its ability to provide rapid, noninvasive, depth-resolved imaging of small blood vessels.
2:Sample Selection and Data Sources:
Eleven patients with 15 chronic wounds were recruited based on inclusion criteria (e.g., age over 18 years, no severe peripheral arterial disease) and exclusion criteria (e.g., cancer treatment, renal failure). Scans were taken at standardized locations: wound edges (4 poles), wound center, adjacent dermatosclerotic skin, and contralateral healthy skin.
3:List of Experimental Equipment and Materials:
A VivoSight OCT scanner (Michelson Diagnostics Ltd) with D-OCT processing software, presterilized disposable standoffs, and sterile sheaths for the probe. A Canon Powershot A1200 camera for wound photography, and a paper tape measure for calf circumference.
4:Experimental Procedures and Operational Workflow:
The OCT probe, enclosed in sterile sheaths, was placed on the skin for 30-second scans at each location. Images were captured in 3D blocks, and vessel morphology and density were assessed.
5:Data Analysis Methods:
Vessel morphology was visually assessed using ImageJ software with a semiquantitative scale (0-3), and vessel density was measured as a percentage of scanned tissue volume using ImageJ's Measure tool. Statistical analysis used the Wilcoxon test for matched pairs with significance at P < .05.
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