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Updated: Jun 4, 2026

An Experimental Human DIEP Flap Model to Investigate Preservation Strategies for Vascularized Composite Allografts and Free Flaps
Published on: December 5, 2025
Diagnostic performance of photoplethysmography for early vascular compromise in a customisablein vitroflap model
Hiroki Kodama1,2,3, James Michael May2,4, Dariush Nikkhah1
1Research Centre for Biomedical Engineering, City St George's, University of London, London, United Kingdom.
Background:
Free flap reconstruction is a standard procedure in surgery, yet vascular thrombosis occurs in 3%-5% of cases. Early detection within the first few hours is essential for successful salvage, as the success rate of surgical re-exploration decreases over time. Since current clinical assessment remains subjective and depends on experience, objective and continuous monitoring is required. Photoplethysmography (PPG), which monitors blood volume changes non-invasively, is a candidate for this application. However, the influence of specific waveform changes during early haemodynamic shifts is not fully understood.
Methods:
This study evaluated the diagnostic capacity of PPG for detecting early vascular changes using a custom silicone phantom. Synthetic vessels mimicking human arterial and venous mechanics were embedded at depths of 3, 9, 15, and 21 mm. A perfusion system simulated normal, early ischaemic, and early congested states. Signal quality was assessed using the signal-to-noise ratio (SNR), and only signals with SNR > 15 dB were used for morphological analysis. Over 50 parameters, including time, area, and slope, were extracted from the waveforms to identify those that characteristically respond to each haemodynamic state.
Results:
The custom-made free flap phantom was successfully validated. Signal quality assessments limited morphological evaluation to depths up to 15 mm. Analysis showed that Intensity and Area-based parameters were the most effective indicators at all depths. At shallow positions, Time-related features showed clear changes during ischaemia, while Slope and Second Derivative (SDPPG) features emerged as key indicators at depth. Red light was useful for superficial monitoring at 3 mm, whereas Infrared was necessary for assessing deeper states.
Conclusion:
A custom phantom capable of replicating early haemodynamic compromise was developed. Identifying specific feature variations across depths provides a framework for objective, continuous monitoring. These findings suggest that combining multiple morphological features can improve the reliability of flap assessment.
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