@article{VollmerSaraviBreitenbuecheretal.2023,
  author    = {Vollmer, Andreas and Saravi, Babak and Breitenbuecher, Niko and Mueller-Richter, Urs and Straub, Anton and Šimić, Luka and K{\"u}bler, Alexander and Vollmer, Michael and Gubik, Sebastian and Volland, Julian and Hartmann, Stefan and Brands, Roman C.},
  title     = {Realizing in-house algorithm-driven free fibula flap set up within 24 hours},
  series = {Frontiers in Surgery},
  volume    = {10},
  journal   = {Frontiers in Surgery},
  doi       = {10.3389/fsurg.2023.1321217},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-353945},
  year      = {2023},
  abstract  = {Objective: This study aims to critically evaluate the effectiveness and accuracy of a time safing and cost-efficient open-source algorithm for in-house planning of mandibular reconstructions using the free osteocutaneous fibula graft. The evaluation focuses on quantifying anatomical accuracy and assessing the impact on ischemia time. Methods: A pilot study was conducted, including patients who underwent in-house planned computer-aided design and manufacturing (CAD/CAM) of free fibula flaps between 2021 and 2023. Out of all patient cases, we included all with postoperative 3D imaging in the study. The study utilized open-source software tools for the planning step, and three-dimensional (3D) printing techniques. The Hausdorff distance and Dice coefficient metrics were used to evaluate the accuracy of the planning procedure. Results: The study assessed eight patients (five males and three females, mean age 61.75 ± 3.69 years) with different diagnoses such as osteoradionecrosis and oral squamous cell carcinoma. The average ischemia time was 68.38 ± 27.95 min. For the evaluation of preoperative planning vs. the postoperative outcome, the mean Hausdorff Distance was 1.22 ± 0.40. The Dice Coefficients yielded a mean of 0.77 ± 0.07, suggesting a satisfactory concordance between the planned and postoperative states. Dice Coefficient and Hausdorff Distance revealed significant correlations with ischemia time (Spearman's rho = -0.810, p = 0.015 and Spearman's rho = 0.762, p = 0.028, respectively). Linear regression models adjusting for disease type further substantiated these findings. Conclusions: The in-house planning algorithm not only achieved high anatomical accuracy, as reflected by the Dice Coefficients and Hausdorff Distance metrics, but this accuracy also exhibited a significant correlation with reduced ischemia time. This underlines the critical role of meticulous planning in surgical outcomes. Additionally, the algorithm's open-source nature renders it cost-efficient, easy to learn, and broadly applicable, offering promising avenues for enhancing both healthcare affordability and accessibility.},
  language  = {en}
}