Structured-light surface scanning system to evaluate breast morphology in standing and supine positions.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
24 08 2020
24 08 2020
Historique:
received:
21
01
2020
accepted:
05
06
2020
entrez:
26
8
2020
pubmed:
26
8
2020
medline:
8
1
2021
Statut:
epublish
Résumé
Breast shapes are affected by gravitational loads and deformities. Measurements obtained in the standing position may not correlate well with measurements in the supine position, which is more representative of patient position during breast surgery. A dual color 3D surface imaging system capable of scanning patients in both supine and standing positions was developed to evaluate the effect of changes in body posture on breast morphology. The system was evaluated with breast phantoms to assess accuracy, then tested on ten subjects in three body postures to assess its effectiveness as a clinical tool. The accuracy of the system was within 0.4 mm on average across the model. For the human study, there was no effect of body posture on breast volumes (p value > 0.05), but we observed an effect of completeness of breast scans on body posture (p value < 0.05). Post-hoc tests showed that the supine position and the standing position with hands at the waist differed significantly (p value < 0.05). This study shows that the system can quantitatively evaluate the effect of subject postures, and thereby has the potential to be used to investigate peri-operative changes in breast morphology.
Identifiants
pubmed: 32839488
doi: 10.1038/s41598-020-70476-2
pii: 10.1038/s41598-020-70476-2
pmc: PMC7445296
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
14087Subventions
Organisme : CIHR
Pays : Canada
Références
O’Connell, R. L., Stevens, R. J. G., Harris, P. A. & Rusby, J. E. Review of three-dimensional (3D) surface imaging for oncoplastic, reconstructive and aesthetic breast surgery. Breast 24, 331–342 (2015).
doi: 10.1016/j.breast.2015.03.011
Piper, M., Peled, A. W. & Sbitany, H. Oncoplastic breast surgery: current strategies. Gland Surg. 4, 154–163 (2015).
pubmed: 26005647
pmcid: 4409678
Xi, W. et al. Objective breast volume, shape and surface area assessment: a systematic review of breast measurement methods. Aesthet. Plast. Surg. 38, 1116–1130 (2014).
doi: 10.1007/s00266-014-0412-5
O’Connell, R. L. et al. The potential role of three-dimensional surface imaging as a tool to evaluate aesthetic outcome after Breast Conserving Therapy (BCT). Breast Cancer Res. Treat. 164, 385–393 (2017).
doi: 10.1007/s10549-017-4256-y
Chae, M. P., Rozen, W. M., Spychal, R. T. & Hunter-smith, D. J. Breast volumetric analysis for aesthetic planning in breast reconstruction : a literature review of techniques. Gland Surg. 5, 212–226 (2016).
pubmed: 27047788
pmcid: 4791357
Kim, M. S. et al. Assessment of breast aesthetics. Plast. Reconstr. Surg. 121, 1–16 (2008).
doi: 10.1097/01.prs.0000304593.74672.b8
Yip, J. M. et al. Accurate assessment of breast volume: A study comparing the volumetric gold standard (direct water displacement measurement of mastectomy specimen) with a 3D laser scanning technique. Ann. Plast. Surg. 68, 135–141 (2012).
doi: 10.1097/SAP.0b013e31820ebdd0
Reece, G. P. et al. 3D surface imaging of the human female torso in upright to supine positions. Med. Eng. Phys. 37, 375–383 (2015).
doi: 10.1016/j.medengphy.2015.01.011
Connell, R. L. O. et al. Validation of the vectra XT three-dimensional imaging system for measuring breast volume and symmetry following oncological reconstruction. Breast Cancer Res. Treat. 171, 391–398 (2018).
doi: 10.1007/s10549-018-4843-6
Koban, K. C. et al. Three-dimensional surface imaging in breast cancer: a new tool for clinical studies?. Radiat. Oncol. 15, 1–8 (2020).
doi: 10.1186/s13014-020-01499-2
Koban, K. C., Frank, K., Etzel, L., Schenck, T. L. & Giunta, R. E. 3D mammometric changes in the treatment of idiopathic gynecomastia. Aesthet. Plast. Surg. 43, 616–624 (2019).
doi: 10.1007/s00266-019-01341-5
Weissler, J. M., Stern, C. S., Schreiber, J. E., Amirlak, B. & Tepper, O. M. The evolution of photography and three-dimensional imaging in plastic surgery. Plast. Reconstr. Surg. 139, 761–769 (2017).
doi: 10.1097/PRS.0000000000003146
Oranges, C. M. et al. Three-dimensional assessment of the breast: validation of a novel, simple and inexpensive scanning process. Vivo (Brooklyn) 33, 839–842 (2019).
doi: 10.21873/invivo.11548
Dessery, Y. & Pallari, J. Measurements agreement between low-cost and high-level handheld 3D scanners to scan the knee for designing a 3D printed knee brace. PLoS ONE 13, e0190585 (2018).
doi: 10.1371/journal.pone.0190585
Henseler, H., Kuznetsova, A., Vogt, P. & Rosenhahn, B. Validation of the Kinect device as a new portable imaging system for three-dimensional breast assessment. J. Plast. Reconstr. Aesthet. Surg. 67, 483–488 (2014).
doi: 10.1016/j.bjps.2013.12.025
Lacher, R. M. et al. Low-cost surface reconstruction for aesthetic results assessment and prediction in breast cancer surgery. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBS 2015, 5871–5874 (2015).
Henseler, H., Bonkat, S. K., Vogt, P. M. & Rosenhahn, B. The kinect recording system for objective three- and four-dimensional breast assessment with image overlays. J. Plast. Reconstr. Aesthet. Surg. 69, e27–e34 (2016).
doi: 10.1016/j.bjps.2015.10.021
Wheat, J. S., Choppin, S. & Goyal, A. Development and assessment of a Microsoft Kinect based system for imaging the breast in three dimensions. Med. Eng. Phys. 36, 732–738 (2014).
doi: 10.1016/j.medengphy.2013.12.018
Kovacs, L. et al. Optimization of three-dimensional imaging of the breast region with three-dimensional laser scanners. Ann. Plast. Surg. 56, 229–236 (2006).
doi: 10.1097/01.sap.0000197774.80832.24
Angelopoulou, E. The Reflectance Spectrum of Human Skin. (1999). MS-CIS-99-29, Department of Computer and Information Science Technical Report (University of Pennsylvania, 1999).
Martinkauppi, B. Face Colour Under Varying Illumination: Analysis and Applications (University of Oulu, Oulu, 2002).
Coltman, C. E., McGhee, D. E. & Steele, J. R. Three-dimensional scanning in women with large, ptotic breasts: implications for bra cup sizing and design. Ergonomics 60, 439–445 (2017).
doi: 10.1080/00140139.2016.1176258
Kawale, M. et al. 3D symmetry measure invariant to subject pose during image acquisition. Breast Cancer Basic Clin. Res. 5, BCBCR.S7140 (2011).
doi: 10.4137/BCBCR.S7140
Fedorov, A. et al. 3D Slicer as an image computing platform for the quantitative imaging network. Magn. Reson. Imaging 30, 1323–1341 (2012).
doi: 10.1016/j.mri.2012.05.001
Girardeau-Montaut, D. CloudCompare 2.10, GNU General Public License software (2017).
Lague, D., Brodu, N. & Leroux, J. Accurate 3D comparison of complex topography with terrestrial laser scanner: application to the Rangitikei canyon (N-Z). ISPRS J. Photogramm. Remote Sens. 82, 10–26 (2013).
doi: 10.1016/j.isprsjprs.2013.04.009