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3D-Printed masks as a new approach for immobilization in radiotherapy - a study of positioning accuracy.
Haefner, Matthias Felix; Giesel, Frederik Lars; Mattke, Matthias; Rath, Daniel; Wade, Moritz; Kuypers, Jacob; Preuss, Alan; Kauczor, Hans-Ulrich; Schenk, Jens-Peter; Debus, Juergen; Sterzing, Florian; Unterhinninghofen, Roland.
Afiliación
  • Haefner MF; Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
  • Giesel FL; National Center for Radiation Research in Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), 69120 Heidelberg, Germany.
  • Mattke M; Department of Nuclear Medicine, Heidelberg University Hospital, 69120 Heidelberg, Germany.
  • Rath D; Department of Radiation Oncology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
  • Wade M; National Center for Radiation Research in Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), 69120 Heidelberg, Germany.
  • Kuypers J; Department of Nuclear Medicine, Heidelberg University Hospital, 69120 Heidelberg, Germany.
  • Preuss A; Department of Nuclear Medicine, Heidelberg University Hospital, 69120 Heidelberg, Germany.
  • Kauczor HU; Institute of Antropomatics and Robotics, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany.
  • Schenk JP; Department of Nuclear Medicine, Heidelberg University Hospital, 69120 Heidelberg, Germany.
  • Debus J; Institute of Antropomatics and Robotics, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany.
  • Sterzing F; Department of Nuclear Medicine, Heidelberg University Hospital, 69120 Heidelberg, Germany.
  • Unterhinninghofen R; Institute of Antropomatics and Robotics, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany.
Oncotarget ; 9(5): 6490-6498, 2018 Jan 19.
Article en En | MEDLINE | ID: mdl-29464087
We developed a new approach to produce individual immobilization devices for the head based on MRI data and 3D printing technologies. The purpose of this study was to determine positioning accuracy with healthy volunteers. 3D MRI data of the head were acquired for 8 volunteers. In-house developed software processed the image data to generate a surface mesh model of the immobilization mask. After adding an interface for the couch, the fixation setup was materialized using a 3D printer with acrylonitrile butadiene styrene (ABS). Repeated MRI datasets (n=10) were acquired for all volunteers wearing their masks thus simulating a setup for multiple fractions. Using automatic image-to-image registration, displacements of the head were calculated relative to the first dataset (6 degrees of freedom). The production process has been described in detail. The absolute lateral (x), vertical (y) and longitudinal (z) translations ranged between -0.7 and 0.5 mm, -1.8 and 1.4 mm, and -1.6 and 2.4 mm, respectively. The absolute rotations for pitch (x), yaw (y) and roll (z) ranged between -0.9 and 0.8°, -0.5 and 1.1°, and -0.6 and 0.8°, respectively. The mean 3D displacement was 0.9 mm with a standard deviation (SD) of the systematic and random error of 0.2 mm and 0.5 mm, respectively. In conclusion, an almost entirely automated production process of 3D printed immobilization masks for the head derived from MRI data was established. A high level of setup accuracy was demonstrated in a volunteer cohort. Future research will have to focus on workflow optimization and clinical evaluation.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Oncotarget Año: 2018 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Oncotarget Año: 2018 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos