Carlos G Helguero1, Imin Kao1, David E Komatsu2, Shazad Shaikh2, Derek Hansen2, Jacob Franco3, Fazel Khan2. 1. Department of Mechanical Engineering, Stony Brook University, Stony Brook, NY 11794-2300, United States. 2. Department of Orthopaedics, Stony Brook University Hospital, Stony Brook, NY 11794-8181, United States. 3. Stony Brook University School of Medicine, Stony Brook, NY 11794-8434, United States.
Abstract
BACKGROUND/AIMS: Customized three-dimensional (3-D) jigs have been shown to increase the accuracy of skeletal tumor resection in comparison to freehand techniques. However, the utility of these jigs in subsequently enhancing the fit of endoprosthetic implants has yet to be determined. We hypothesized that custom jigs would improve implant fit compared to freehand resection. METHODS: Nine matched pairs of cadaveric femurs were scanned by CT. The images then had 'virtual' tumors positioned on the distal medial femoral condyle and preoperative resection plans were generated. Custom implants were designed to fit into the resected spaces and 3-D printed. Similarly, customized 3-D jigs were designed and printed for half of the femurs. Resections were then performed using the jigs or freehand. The implants were positioned in the resected femurs and the accuracy-of-fit was quantitatively assessed by re-scanning the resected femurs and calculating the deviation from the implant (in degrees) for each of the 3 cutting planes. The results were then compared between jig and freehand resections. RESULTS: For the first plane, the jig resulted in less deviation than the freehand cut, but it did not achieve statistical significance. However, for the 2nd and 3rd planes, the jigs deviated 1.78° and 2.20° from the implants compared to 4.41° and 7.96° for the freehand cuts, both of which were statistically significant improvements (p = 0.038 and p = 0.003). CONCLUSION: In summary, customized 3-D jigs were shown to improve the accuracy-of-fit between implants and host bone, moving this technology closer to clinical implementation.
BACKGROUND/AIMS: Customized three-dimensional (3-D) jigs have been shown to increase the accuracy of skeletal tumor resection in comparison to freehand techniques. However, the utility of these jigs in subsequently enhancing the fit of endoprosthetic implants has yet to be determined. We hypothesized that custom jigs would improve implant fit compared to freehand resection. METHODS: Nine matched pairs of cadaveric femurs were scanned by CT. The images then had 'virtual' tumors positioned on the distal medial femoral condyle and preoperative resection plans were generated. Custom implants were designed to fit into the resected spaces and 3-D printed. Similarly, customized 3-D jigs were designed and printed for half of the femurs. Resections were then performed using the jigs or freehand. The implants were positioned in the resected femurs and the accuracy-of-fit was quantitatively assessed by re-scanning the resected femurs and calculating the deviation from the implant (in degrees) for each of the 3 cutting planes. The results were then compared between jig and freehand resections. RESULTS: For the first plane, the jig resulted in less deviation than the freehand cut, but it did not achieve statistical significance. However, for the 2nd and 3rd planes, the jigs deviated 1.78° and 2.20° from the implants compared to 4.41° and 7.96° for the freehand cuts, both of which were statistically significant improvements (p = 0.038 and p = 0.003). CONCLUSION: In summary, customized 3-D jigs were shown to improve the accuracy-of-fit between implants and host bone, moving this technology closer to clinical implementation.
Authors: Fazel A Khan; Joseph D Lipman; Andrew D Pearle; Patrick J Boland; John H Healey Journal: Clin Orthop Relat Res Date: 2013-01-05 Impact factor: 4.176
Authors: Guangyu He; Amos Z Dai; Vamiq M Mustahsan; Aadit T Shah; Liming Li; Jafar A Khan; Michael R Bielski; David E Komatsu; Imin Kao; Fazel A Khan Journal: J Orthop Date: 2022-05-11
Authors: José Cornejo; Jorge A Cornejo-Aguilar; Mariela Vargas; Carlos G Helguero; Rafhael Milanezi de Andrade; Sebastian Torres-Montoya; Javier Asensio-Salazar; Alvaro Rivero Calle; Jaime Martínez Santos; Aaron Damon; Alfredo Quiñones-Hinojosa; Miguel D Quintero-Consuegra; Juan Pablo Umaña; Sebastian Gallo-Bernal; Manolo Briceño; Paolo Tripodi; Raul Sebastian; Paul Perales-Villarroel; Gabriel De la Cruz-Ku; Travis Mckenzie; Victor Sebastian Arruarana; Jiakai Ji; Laura Zuluaga; Daniela A Haehn; Albit Paoli; Jordan C Villa; Roxana Martinez; Cristians Gonzalez; Rafael J Grossmann; Gabriel Escalona; Ilaria Cinelli; Thais Russomano Journal: Biomed Res Int Date: 2022-03-24 Impact factor: 3.411