@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} } @article{AssfalgSeligTolksdorfetal.2020, author = {Assfalg, Volker and Selig, Katharina and Tolksdorf, Johanna and van Meel, Marieke and de Vries, Erwin and Ramsoebhag, Anne-Marie and Rahmel, Axel and Renders, Lutz and Novotny, Alexander and Matevossian, Edouard and Schneeberger, Stefan and Rosenkranz, Alexander R. and Berlakovich, Gabriela and Ysebaert, Dirk and Knops, No{\"e}l and Kuypers, Dirk and Weekers, Laurent and Muehlfeld, Anja and Rump, Lars-Christian and Hauser, Ingeborg and Pisarski, Przemyslaw and Weimer, Rolf and Fornara, Paolo and Fischer, Lutz and Kliem, Volker and Sester, Urban and Stippel, Dirk and Arns, Wolfgang and Hau, Hans-Michael and Nitschke, Martin and Hoyer, Joachim and Thorban, Stefan and Weinmann-Menke, Julia and Heller, Katharina and Banas, Bernhard and Schwenger, Vedat and Nadalin, Silvio and Lopau, Kai and H{\"u}ser, Norbert and Heemann, Uwe}, title = {Repeated kidney re-transplantation—the Eurotransplant experience: a retrospective multicenter outcome analysis}, series = {Transplant International}, volume = {33}, journal = {Transplant International}, number = {6}, doi = {10.1111/tri.13569}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-214161}, pages = {617 -- 631}, year = {2020}, abstract = {In Eurotransplant kidney allocation system (ETKAS), candidates can be considered unlimitedly for repeated re-transplantation. Data on outcome and benefit are indeterminate. We performed a retrospective 15-year patient and graft outcome data analysis from 1464 recipients of a third or fourth or higher sequential deceased donor renal transplantation (DDRT) from 42 transplant centers. Repeated re-DDRT recipients were younger (mean 43.0 vs. 50.2 years) compared to first DDRT recipients. They received grafts with more favorable HLA matches (89.0\% vs. 84.5\%) but thereby no statistically significant improvement of patient and graft outcome was found as comparatively demonstrated in 1st DDRT. In the multivariate modeling accounting for confounding factors, mortality and graft loss after 3rd and ≥4th DDRT (P < 0.001 each) and death with functioning graft (DwFG) after 3rd DDRT (P = 0.001) were higher as compared to 1st DDRT. The incidence of primary nonfunction (PNF) was also significantly higher in re-DDRT (12.7\%) than in 1st DDRT (7.1\%; P < 0.001). Facing organ shortage, increasing waiting time, and considerable mortality on dialysis, we question the current policy of repeated re-DDRT. The data from this survey propose better HLA matching in first DDRT and second DDRT and careful selection of candidates, especially for ≥4th DDRT.}, language = {en} }