PMID- 33232326
OWN - NLM
STAT- MEDLINE
DCOM- 20201218
LR  - 20201218
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 15
IP  - 11
DP  - 2020
TI  - Improved accuracy of breast volume calculation from 3D surface imaging data using 
      statistical shape models.
PG  - e0233586
LID - 10.1371/journal.pone.0233586 [doi]
LID - e0233586
AB  - BACKGROUND: Three-dimensional (3D) scanning is an established method of breast 
      volume estimation. However, this method can never be entirely precise, since the 
      thoracic wall cannot be imaged by the surface scanner. Current methods rely on 
      interpolation of the posterior breast border from the surrounding thoracic wall. 
      Here, we present a novel method to calculate the posterior border and increase 
      the accuracy of the measurement. METHODS: Using principal component analysis, 
      computed tomography images were used to build a statistical shape model (SSM) of 
      the thoracic wall. The model was fitted to 3D images and the missing thoracic 
      wall curvature interpolated (indirect volumetry). The calculations were evaluated 
      by ordinary least squares regression between the preoperative and postoperative 
      volume differences and the resection weights in breast reduction surgery (N = 
      36). Also, an SSM of the breast was developed, allowing direct volumetry. 
      Magnetic-resonance images (MRI) and 3D scans were acquired from 5 patients in 
      order to validate the direct 3D volumetry. RESULTS: Volumetry based on a SSM 
      exhibited a higher determination coefficient (R2 = 0,737) than the interpolation 
      method (R2 = 0,404). The methods were not equivalent (p = 0.75), suggesting that 
      the methods significantly differ. There was no influence of BMI on the 
      correlation in either method. The MRI volumetry had a strong correlation with the 
      3D volumetry (R2 = 0,978). CONCLUSION: The SSM-based method of posterior breast 
      border calculation is reliable and superior to the currently used method of 
      interpolation. It should serve as a basis of software applications aiming at 
      calculation of breast volume from 3D surface scanning data.
FAU - Gopper, Michael W
AU  - Gopper MW
AUID- ORCID: 0000-0003-3647-3881
AD  - Faculty of Medicine, Department of Plastic and Hand Surgery, Medical 
      Center-University of Freiburg, University of Freiburg, Freiburg, Germany.
FAU - Neubauer, Jakob
AU  - Neubauer J
AD  - Faculty of Medicine, Department of Radiology, Medical Center-University of 
      Freiburg, University of Freiburg, Freiburg, Germany.
FAU - Kalash, Ziad
AU  - Kalash Z
AD  - Faculty of Medicine, Department of Plastic and Hand Surgery, Medical 
      Center-University of Freiburg, University of Freiburg, Freiburg, Germany.
FAU - Stark, G Bjorn
AU  - Stark GB
AD  - Faculty of Medicine, Department of Plastic and Hand Surgery, Medical 
      Center-University of Freiburg, University of Freiburg, Freiburg, Germany.
FAU - Simunovic, Filip
AU  - Simunovic F
AUID- ORCID: 0000-0003-1755-5734
AD  - Faculty of Medicine, Department of Plastic and Hand Surgery, Medical 
      Center-University of Freiburg, University of Freiburg, Freiburg, Germany.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20201124
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - Adult
MH  - Breast/*diagnostic imaging/*surgery
MH  - Cytoreduction Surgical Procedures
MH  - Female
MH  - Humans
MH  - Imaging, Three-Dimensional/*methods
MH  - Magnetic Resonance Imaging
MH  - Middle Aged
MH  - Models, Statistical
MH  - Principal Component Analysis
PMC - PMC7685503
COIS- The authors have declared that no competing interests exist.
EDAT- 2020/11/25 06:00
MHDA- 2020/12/19 06:00
PMCR- 2020/11/24
CRDT- 2020/11/24 17:12
PHST- 2020/05/07 00:00 [received]
PHST- 2020/11/03 00:00 [accepted]
PHST- 2020/11/24 17:12 [entrez]
PHST- 2020/11/25 06:00 [pubmed]
PHST- 2020/12/19 06:00 [medline]
PHST- 2020/11/24 00:00 [pmc-release]
AID - PONE-D-20-13491 [pii]
AID - 10.1371/journal.pone.0233586 [doi]
PST - epublish
SO  - PLoS One. 2020 Nov 24;15(11):e0233586. doi: 10.1371/journal.pone.0233586. 
      eCollection 2020.