Erin A Gillaspie1, Jane S Matsumoto2, Natalie E Morris1, Robert J Downey3, K Robert Shen1, Mark S Allen1, Shanda H Blackmon4. 1. Division of Thoracic Surgery, Mayo Clinic, Rochester, Minnesota. 2. Division of Radiology, Mayo Clinic, Rochester, Minnesota. 3. Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York. 4. Division of Thoracic Surgery, Mayo Clinic, Rochester, Minnesota. Electronic address: blackmon.shanda@mayo.edu.
Abstract
PURPOSE: Three-dimensional (3D) printing of anatomic models for complex surgical cases improves patient and resident education, operative team planning, and guides the operation. Our group describes two additional dimensions. DESCRIPTION: The process of 5-dimensional (5D) printing was developed for surgical planning. Pretreatment computed tomography and positron emission tomography scans were reformatted and fused. Selected anatomy from these studies, along with posttreatment computed tomography and magnetic resonance images, were coregistered and segmented. This fused anatomy was converted into stereolithography files for 3D printing. EVALUATION: A patient presenting with a complex thoracic tumor was selected for 5D printing. 3D and 5D models were prepared to allow surgical teams to directly evaluate and compare the added benefits of information provided by printing in 5 dimensions. CONCLUSIONS: Printing 5D models in patients with complex thoracic pathology facilitates surgical planning, selecting margins for resection, anticipating potential difficulties, teaching for learners, and education for patients.
PURPOSE: Three-dimensional (3D) printing of anatomic models for complex surgical cases improves patient and resident education, operative team planning, and guides the operation. Our group describes two additional dimensions. DESCRIPTION: The process of 5-dimensional (5D) printing was developed for surgical planning. Pretreatment computed tomography and positron emission tomography scans were reformatted and fused. Selected anatomy from these studies, along with posttreatment computed tomography and magnetic resonance images, were coregistered and segmented. This fused anatomy was converted into stereolithography files for 3D printing. EVALUATION: A patient presenting with a complex thoracic tumor was selected for 5D printing. 3D and 5D models were prepared to allow surgical teams to directly evaluate and compare the added benefits of information provided by printing in 5 dimensions. CONCLUSIONS: Printing 5D models in patients with complex thoracic pathology facilitates surgical planning, selecting margins for resection, anticipating potential difficulties, teaching for learners, and education for patients.
Authors: V W Rusch; K R Parekh; L Leon; E Venkatraman; M S Bains; R J Downey; P Boland; M Bilsky; R J Ginsberg Journal: J Thorac Cardiovasc Surg Date: 2000-06 Impact factor: 5.209
Authors: Michael P Chae; Frank Lin; Robert T Spychal; David J Hunter-Smith; Warren Matthew Rozen Journal: Microsurgery Date: 2014-07-21 Impact factor: 2.425
Authors: Jonathan M Fishman; Katherine Wiles; Mark W Lowdell; Paolo De Coppi; Martin J Elliott; Anthony Atala; Martin A Birchall Journal: Expert Opin Biol Ther Date: 2014-08-07 Impact factor: 4.388
Authors: Elizabeth George; Maria Barile; Anji Tang; Ory Wiesel; Antonio Coppolino; Andreas Giannopoulos; Steven Mentzer; Michael Jaklitsch; Andetta Hunsaker; Dimitrios Mitsouras Journal: J Surg Oncol Date: 2017-09 Impact factor: 3.454
Authors: Jackson K S Kwok; Rainbow W H Lau; Ze-Rui Zhao; Peter S Y Yu; Jacky Y K Ho; Simon C Y Chow; Innes Y P Wan; Calvin S H Ng Journal: J Thorac Dis Date: 2018-04 Impact factor: 2.895
Authors: Leonid Chepelev; Carolina Souza; Waleed Althobaity; Olivier Miguel; Satheesh Krishna; Ekin Akyuz; Taryn Hodgdon; Carlos Torres; Nicole Wake; Amy Alexander; Elizabeth George; Anji Tang; Peter Liacouras; Jane Matsumoto; Jonathan Morris; Andy Christensen; Dimitrios Mitsouras; Frank Rybicki; Adnan Sheikh Journal: 3D Print Med Date: 2017-12-06