Background: During anterolateral thigh flap harvest, inadequate perforators may necessitate modification of the flap design, exploration of the contralateral thigh, or additional flap harvest. Computed tomographic angiography may facilitate perforator mapping and optimize flap design. The authors performed this pilot study to determine the predictive power of computed tomographic angiography in anterolateral thigh flap planning and execution.
Methods: Sixteen consecutive computed tomographic angiography–mapped anterolateral thigh flaps for head and neck reconstruction were studied. Perforator location, origin, caliber, and course were compared between computed tomographic angiography and intraoperative findings. The relationship of patient characteristics, imaging studies, and intraoperative factors to flap design and surgical outcomes was analyzed.
Results: Among the 16 anterolateral thigh flaps, 40 of 54 perforators identified intraoperatively were visible on computed tomographic angiography, resulting in 74 percent sensitivity. Intraoperative perforator location averaged 0.35 cm from the computed tomographic angiography–predicted location. The overall ability of computed tomographic angiography to predict perforator size was 67.5 percent. Its overall accuracy in predicting whether a perforator took a septocutaneous or intramuscular course before perforating the deep fascia was 77.5 percent. Preoperative angiography resulted in surgeons modifying the operative plan in 37 percent of cases and 57 percent of double-island flap cases. All flaps were elevated successfully and survived.
Conclusions: Computed tomographic angiography identified larger perforators better than smaller ones and proximal perforators better than distal ones. It accurately predicted the location and origin of visible perforators and less accurately predicted the size and course of visible perforators. Most importantly, the information it provided influenced surgeons to modify their reconstructive strategy, resulting in a higher level of recipient-site specificity.
From the Departments of Plastic Surgery, Diagnostic Imaging, and Biostatistics, University of Texas M. D. Anderson Cancer Center.
Received for publication July 6, 2010; accepted October 7, 2010.
Disclosure: None of the authors has a financial interest associated with this article. There was no external financial support for this study.
Patrick B. Garvey, M.D., Department of Plastic Surgery, Unit 443, University of Texas M. D. Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030, firstname.lastname@example.org