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In situ Transverse Rectus Abdominis Myocutaneous Flap: A Rat Model of Myocutaneous Ischemia Reperfusion Injury
Published on: June 8, 2013
Differential Perfusion Patterns of Perforator and Random Flaps Assessed by Indocyanine Green Imaging
Abdullh AlQhtani1, Nara Lee2, Hyung Bae Kim2
1Department of Plastic Surgery, Surgery, College of Medicine, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia.
Background:
Indocyanine green angiography (ICGA) is widely used to evaluate flap perfusion in reconstructive surgery, but the optimal timing for assessment may differ by flap type. This study compared the perfusion dynamics of perforator and random pattern flaps in a rat model using ICGA.
Methods:
ICGA dynamics were compared between perforator and random flaps in a rat model. Sixteen Sprague-Dawley rats (275-300 g) were randomly assigned to either a perforator or a random flap group. A 0.25-mg dose of indocyanine green (ICG) was administered via the femoral vein, and fluorescence images were acquired at predefined intervals over 4 minutes. Hypoperfusion was defined as fluorescence intensity below 30% of the peak value. Necrosis was assessed on postoperative day 7. Statistical analyses included the Mann-Whitney U and log-rank tests with Expectation-Maximization Iterative Convex Minorant (EMICM) modeling.
Results:
In the perforator flap group, the final area of necrosis corresponded to the ICGA-defined perfusion boundary observed between 10 and 50 seconds postinjection. In contrast, necrosis in the random flap group aligned with the ICGA-defined perfusion boundary captured between 30 and 150 seconds. The most accurate time points for necrosis prediction were 50 seconds for perforator flaps and 150 seconds for random flaps, both demonstrating statistical significance (p = 0.0028).
Conclusion:
ICGA timing requirements differ between flap types. Implementing flap-specific assessment windows may enhance intraoperative interpretation and reduce false-positive findings. These findings support the development of flap-specific ICGA protocols to improve intraoperative decision-making in reconstructive surgery.
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