Carlo M Oranges1, Srinivas Madduri2,3,4, Philipp Brantner5, Bilal Msallem5,6, Salvatore Giordano7, Benito Benitez5,6, Daniel F Kalbermatten2, Dirk J Schaefer2, Florian M Thieringer8,6. 1. Department of Plastic, Reconstructive, Aesthetic, and Hand Surgery, Basel University Hospital, University of Basel, Basel, Switzerland carlo.oranges@usb.ch florian.thieringer@usb.ch. 2. Department of Plastic, Reconstructive, Aesthetic, and Hand Surgery, Basel University Hospital, University of Basel, Basel, Switzerland. 3. Department of Biomedicine, University of Basel, Basel, Switzerland. 4. Department of Biomedical Engineering, University of Basel, Basel, Switzerland. 5. Medical Additive Manufacturing Research Group, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland. 6. Department of Oral and Cranio-Maxillofacial Surgery, Basel University Hospital, Basel, Switzerland. 7. Department of Plastic and General Surgery, Turku University Hospital, University of Turku, Turku, Finland. 8. Medical Additive Manufacturing Research Group, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland carlo.oranges@usb.ch florian.thieringer@usb.ch.
Abstract
BACKGROUND/AIM: Methods to assess three-dimensionally the breast surface are increasingly used in plastic and reconstructive surgery. The aim of this study was to validate the use of the Structure Sensor 3D scanner (Occipital, Inc., Boulder, CO, USA) connected to an iPad Pro (Apple, Inc., Cupertino, CA, USA) as a novel, inexpensive and handheld three-dimensional scanning process. MATERIALS AND METHODS: Surface images of a medical human female anatomy torso model of rigid plastic were repeatedly acquired with Structure Sensor 3D scanner and compared with those obtained using two clinically established 3D imaging systems. Digital measurements of vector and surface breast distances were analyzed using Mimics® Innovation Suite 20 medical imaging software (Materialise, Leuven, Belgium). RESULTS: The analysis of variance (ANOVA) revealed no statistically significant difference among measurements obtained using different scanning processes for all the variables examined (p>0.05). CONCLUSION: The study demonstrates analogous practicability and reliability for surface image acquisition using the newly introduced Structure Sensor 3D scanner and other clinically established scanners. Copyright
BACKGROUND/AIM: Methods to assess three-dimensionally the breast surface are increasingly used in plastic and reconstructive surgery. The aim of this study was to validate the use of the Structure Sensor 3D scanner (Occipital, Inc., Boulder, CO, USA) connected to an iPad Pro (Apple, Inc., Cupertino, CA, USA) as a novel, inexpensive and handheld three-dimensional scanning process. MATERIALS AND METHODS: Surface images of a medical human female anatomy torso model of rigid plastic were repeatedly acquired with Structure Sensor 3D scanner and compared with those obtained using two clinically established 3D imaging systems. Digital measurements of vector and surface breast distances were analyzed using Mimics® Innovation Suite 20 medical imaging software (Materialise, Leuven, Belgium). RESULTS: The analysis of variance (ANOVA) revealed no statistically significant difference among measurements obtained using different scanning processes for all the variables examined (p>0.05). CONCLUSION: The study demonstrates analogous practicability and reliability for surface image acquisition using the newly introduced Structure Sensor 3D scanner and other clinically established scanners. Copyright
Authors: Robin Hartmann; Maximilian Weiherer; Daniel Schiltz; Stephan Seitz; Luisa Lotter; Alexandra Anker; Christoph Palm; Lukas Prantl; Vanessa Brébant Journal: Aesthetic Plast Surg Date: 2020-05-13 Impact factor: 2.326
Authors: Olivia L H Tong; Astrid Chamson-Reig; Lawrence C M Yip; Muriel Brackstone; Mamadou Diop; Jeffrey J L Carson Journal: Sci Rep Date: 2020-08-24 Impact factor: 4.379