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Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models

Göpper, Michael W ; Neubauer, Jakob ; Kalash, Ziad ; Stark, G Björn ; Simunovic, Filip Santanelli, di Pompeo d'Illasi, Fabio

PloS one, 2020-11, Vol.15 (11), p.e0233586-e0233586 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models
Autor: Göpper, Michael W ; Neubauer, Jakob ; Kalash, Ziad ; Stark, G Björn ; Simunovic, Filip
Santanelli, di Pompeo d'Illasi, Fabio
Assuntos: Accuracy ; Adult ; Anthropomorphism ; Applications programs ; Biology and Life Sciences ; Breast ; Breast - diagnostic imaging ; Breast - surgery ; Breasts ; Computed tomography ; Computer and Information Sciences ; Correlation ; Cytoreduction Surgical Procedures ; Diagnostic imaging ; Engineering and Technology ; Female ; Hand surgery ; Humans ; Image acquisition ; Imaging, Three-Dimensional - methods ; Interpolation ; Lasers ; Magnetic Resonance Imaging ; Mathematical models ; Medical imaging ; Medicine ; Medicine and Health Sciences ; Methods ; Middle Aged ; Models, Statistical ; Patients ; Physical Sciences ; Preoperative care ; Principal Component Analysis ; Principal components analysis ; Regression analysis ; Research and Analysis Methods ; Scanning ; Statistical analysis ; Surgery ; Thorax ; Three dimensional models ; Three-dimensional imaging
É parte de: PloS one, 2020-11, Vol.15 (11), p.e0233586-e0233586
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Competing Interests: The authors have declared that no competing interests exist.
Descrição: 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. 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. 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). 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.
Editor: United States: Public Library of Science
Idioma: Inglês

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Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models

Göpper, Michael W ; Neubauer, Jakob ; Kalash, Ziad ; Stark, G Björn ; Simunovic, Filip Santanelli, di Pompeo d'Illasi, Fabio

United States: Public Library of Science

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