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


Journal

In vivo (Athens, Greece)
ISSN: 1791-7549
Titre abrégé: In Vivo
Pays: Greece
ID NLM: 8806809

Informations de publication

Date de publication:
Historique:
received: 13 02 2019
revised: 05 03 2019
accepted: 06 03 2019
entrez: 28 4 2019
pubmed: 28 4 2019
medline: 21 8 2019
Statut: ppublish

Résumé

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. 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). 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). The study demonstrates analogous practicability and reliability for surface image acquisition using the newly introduced Structure Sensor 3D scanner and other clinically established scanners.

Sections du résumé

BACKGROUND/AIM OBJECTIVE
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 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 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 CONCLUSIONS
The study demonstrates analogous practicability and reliability for surface image acquisition using the newly introduced Structure Sensor 3D scanner and other clinically established scanners.

Identifiants

pubmed: 31028206
pii: 33/3/839
doi: 10.21873/invivo.11548
pmc: PMC6559897
doi:

Types de publication

Journal Article

Langues

eng

Pagination

839-842

Informations de copyright

Copyright© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

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Auteurs

Carlo M 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.

Srinivas Madduri (S)

Department of Plastic, Reconstructive, Aesthetic, and Hand Surgery, Basel University Hospital, University of Basel, Basel, Switzerland.
Department of Biomedicine, University of Basel, Basel, Switzerland.
Department of Biomedical Engineering, University of Basel, Basel, Switzerland.

Philipp Brantner (P)

Medical Additive Manufacturing Research Group, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.

Bilal Msallem (B)

Medical Additive Manufacturing Research Group, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.
Department of Oral and Cranio-Maxillofacial Surgery, Basel University Hospital, Basel, Switzerland.

Salvatore Giordano (S)

Department of Plastic and General Surgery, Turku University Hospital, University of Turku, Turku, Finland.

Benito Benitez (B)

Medical Additive Manufacturing Research Group, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.
Department of Oral and Cranio-Maxillofacial Surgery, Basel University Hospital, Basel, Switzerland.

Daniel F Kalbermatten (DF)

Department of Plastic, Reconstructive, Aesthetic, and Hand Surgery, Basel University Hospital, University of Basel, Basel, Switzerland.

Dirk J Schaefer (DJ)

Department of Plastic, Reconstructive, Aesthetic, and Hand Surgery, Basel University Hospital, University of Basel, Basel, Switzerland.

Florian M Thieringer (FM)

Medical Additive Manufacturing Research Group, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland carlo.oranges@usb.ch florian.thieringer@usb.ch.
Department of Oral and Cranio-Maxillofacial Surgery, Basel University Hospital, Basel, Switzerland.

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