Advanced Visualization of Peroneal Artery Perforators Prior to Autologous Transplantation in Head and Neck Surgery by...

Background/Objectives: Accurate visualization of peroneal perforator vessels prior to autologous transplantation of osteomyocutaneous fibular flap is essential for surgical success. Our aim was to improve and simplify pre-surgical diagnostics of peroneal perforators using a dedicated dual-energy Computed Tomography Angiography (CTA) protocol and semiautomatic Vessel Unfolding Reconstruction algorithm (VUR). Methods: CTA of both lower legs was performed in 22 patients using dual-energy acquisitions from a third-generation dual-source CT scanner and a high iodine flux (7 mL/s, 350 mg/mL). Low-energy virtual monoenergetic reconstructions (40 keV) were automatically reconstructed from the scanner and used for centerline labeling of the peroneal arteries and their perforators on a post-processing console using a dedicated vascular workflow. Separate segmentation and curved multiplanar reconstructions (MPRs) of each identified peroneal perforator vessel were regarded as the gold standard. Traditional visualization techniques of the entire volume like thin-slice maximum intensity projections (MIPs) or the volume rendering technique (VRT) were compared to a new VUR algorithm that aimed to adjust the visualization plane to the course of the vessels. The identified numbers and lengths of the perforator arteries were compared between curved MPRs, thin-slice MIPs in oblique coronal orientation, posterior-view VRT and coronal VUR of each lower leg. Results: The VUR algorithm was feasible in all patients and the same quantity of peroneal perforator vessels could be detected in comparison to the gold standard. The mean number of perforator vessels per lower leg was 2.6. Mean perforator length in VUR was slightly shorter by 1.6% and did not significantly differ from curved MPRs (p = 0.54), whereas length values from oblique coronal MIP and VRT reconstructions were significantly shorter (both p < 0.001). Conclusions: The combination of virtual monoenergetic reconstructions and the VUR algorithm enables comprehensive and precise depiction of small peroneal perforator vessels prior to autologous fibular flap transplantation, representing a diagnostic tool comparable to traditional visualization methods.