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A Comparison of Handheld Doppler and Indocyanine Green Angiography for Perforator Localization
Tinglu Han1, Nima Khavanin2, Shan Zhu1
1From the Department of Plastic and Reconstructive Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Background:
The preoperative identification of perforators is critical to the success of perforator flaps. Several technologies, including handheld Doppler (HHD) and indocyanine green angiography (ICGA), facilitate this process; however, each technology comes with unique downsides. This study directly compares the performance of HHD and ICGA in preoperative perforator identification and measures the effects of flap thickness and body mass index (BMI) on perforator localization.
Method:
Data from preoperative HHD and ICGA assessments were compared with the criterion standard of intraoperative perforator localization. Sensitivity, specificity, accuracy, and positive predictive values were calculated for both and correlated with flap thickness and BMI.
Results:
Thirty flaps were transferred in 30 patients across 15 different donor sites. Indocyanine green angiography had higher sensitivity, accuracy, and positive predictive value (79.2%, 74.2%, and 87.5%, respectively) than HHD (55.6%, 46.6%, and 69.4%, respectively). Perforators detected by ICGA were used as flap pedicles in 21 cases compared with 13 with HHD. There were no correlations between HHD or ICGA performance and patient BMI (both P > 0.05). Increasing flap thickness was negatively correlated with the accuracy of ICGA ( P = 0.001) but not HHD ( P > 0.05).
Conclusions:
Indocyanine green angiography was more sensitive, specific, and accurate than HHD in identifying perforators across various donor sites; however, its performance suffered in thicker flaps, whereas HHD did not. Patient BMI was not correlated with the performance of either technology. Additional research can further delineate the interrelationships of flap thickness and technologies for perforator localization.
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