Journal article

Three-dimensional Assessment of the Breast: Validation of a Novel, Simple and Inexpensive Scanning Process.

  • Oranges CM Department of Plastic, Reconstructive, Aesthetic, and Hand Surgery, Basel University Hospital, University of Basel, Basel, Switzerland carlo.oranges@usb.ch florian.thieringer@usb.ch.
  • Madduri S Department of Plastic, Reconstructive, Aesthetic, and Hand Surgery, Basel University Hospital, University of Basel, Basel, Switzerland.
  • Brantner P Medical Additive Manufacturing Research Group, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.
  • Msallem B Medical Additive Manufacturing Research Group, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.
  • Giordano S Department of Plastic and General Surgery, Turku University Hospital, University of Turku, Turku, Finland.
  • Benitez B Medical Additive Manufacturing Research Group, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.
  • Kalbermatten DF Department of Plastic, Reconstructive, Aesthetic, and Hand Surgery, Basel University Hospital, University of Basel, Basel, Switzerland.
  • Schaefer DJ Department of Plastic, Reconstructive, Aesthetic, and Hand Surgery, Basel University Hospital, University of Basel, Basel, Switzerland.
  • Thieringer FM Medical Additive Manufacturing Research Group, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland carlo.oranges@usb.ch florian.thieringer@usb.ch.
Show more…
  • 2019-04-28
Published in:
  • In vivo (Athens, Greece). - 2019
English 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.
Language
  • English
Open access status
gold
Identifiers
Persistent URL
https://sonar.ch/global/documents/232503
Statistics

Document views: 34 File downloads:
  • Full-text: 0