Skip to main navigation Skip to search Skip to main content

Digital breast volume estimation (DBVe) - A new technique

  • Eoghan Shanley
  • , Alison Johnston
  • , Dearbhla Hillick
  • , Kin Cheung Ng
  • , Michael Sugrue
  • Letterkenny University Hospital
  • University of Galway

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

5 Citations (Scopus)

Abstract

Objective: There are several limitations with current methods of breast volume measurement; principally relating to assumption of fixed shape forms. This study, utilizing computer aided volume estimates, developed a new method using the digital mapping of breast area and compares results to existing techniques of breast volume measurement and actual breast volume. Methods: 50 consecutive breast cancer patients had breast volume calculated from mammograms [crani-ocaudal (CC) and mediolateral oblique views]; using breast height, width, radius, area and compression thickness. Area was recorded using cursor measurement tool for AGFA® Impa x″6 software. The new volumetric estimation is based on the basic formula for the volume of a solid. The technique was compared with three known breast volume estimation techniques. Subsequently, 15 patients undergoing mastectomy had pre-op breast volume calculated using this new method and 3 existing techniques; values were compared to fresh mastectomy weights/volumes. results: 50 patients, mean age 63.2 ± 14.4 (range 38-88) had breast volume estimation. The CC view appears to provide the best correlation with existing techniques. Scatterplots show a significant correlation of all the methods with the digital breast volume estimation method. Mastectomy volume compared with four breast volume techniques in n = 15, confined to the CC, shows good correlation between the digital technique and real volume. Scatterplots show significant correlation between digital breast volume estimation and mastectomy weight. Conclusion: This study provided a novel simple tool to estimate breast volume in patients. advances in knowledge: This may aid in planning cosmetic outcome and oncoplastic approaches in breast cancer and breast reduction surgery.

Original languageEnglish
Article number20180406
JournalBritish Journal of Radiology
Volume91
Issue number1091
DOIs
Publication statusPublished - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Digital breast volume estimation (DBVe) - A new technique'. Together they form a unique fingerprint.

Cite this