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3D Breast Volume Estimation.

Pedro F Gouveia1,2, Hélder P Oliveira3,4, João P Monteiro3

  • 1Breast Unit, Champalimaud Clinical Center/Champalimaud Foundation, Lisbon, Portugal.

European Surgical Research. Europaische Chirurgische Forschung. Recherches Chirurgicales Europeennes
|May 26, 2021
PubMed
Summary
This summary is machine-generated.

A low-cost 3D surface scan can accurately estimate breast volume for mastectomy planning. This method shows strong correlation with MRI and surgical specimen volumes, offering a feasible alternative for clinical use.

Keywords:
3D surface scanBreast MRIBreast cancerBreast volumeExperimental studySurgery

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Area of Science:

  • Medical Imaging
  • Surgical Planning
  • Biomedical Engineering

Background:

  • Accurate breast volume estimation is critical for effective breast cancer surgery planning.
  • Current methods for breast volume measurement lack a single, easy, and reproducible solution.
  • This study investigates a novel, low-cost 3D surface scanning technique for breast volume assessment.

Purpose of the Study:

  • To evaluate the accuracy of breast volume calculation using a low-cost 3D surface scan (Microsoft Kinect).
  • To compare the 3D surface scan volume measurements against established methods: breast MRI and water displacement.
  • To assess the feasibility of 3D scanning as a reproducible tool in mastectomy planning.

Main Methods:

  • Inclusion of 18 patients with invasive breast cancer undergoing mastectomy.
  • Performance of 3D surface scans for breast volume calculation.
  • Comparison of 3D scan volumes with breast MRI and mastectomy specimen volumes.
  • Statistical analysis using Spearman and Pearson correlation coefficients to assess agreement.

Main Results:

  • Strong linear correlation was observed between 3D scan volumes and mastectomy specimen volumes (Pearson r=0.823, Spearman r=0.875).
  • Significant correlation was also found between 3D scan volumes and breast MRI volumes (Pearson r=0.828, Spearman r=0.715).
  • While differences exist, the results indicate a strong linear relationship, suggesting feasibility.

Conclusions:

  • 3D breast volume measurement using a low-cost depth-sensor surface scan is feasible and approximates MRI and mastectomy specimen volumes with considerable accuracy.
  • Further development is needed to minimize discrepancies and achieve full clinical applicability.
  • Future research could explore fusing 3D surface scan data with breast MRI to enhance anatomical boundary definition and improve volume delimitation.