Literature DB >> 30028189

Digital breast volume estimation (DBVE)-A new technique.

Eoghan Shanley1,2, Alison Johnston1,3, Dearbhla Hillick1,2, Kin Cheung Ng1, Michael Sugrue1,3.   

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 [craniocaudal (CC) and mediolateral oblique views]; using breast height, width, radius, area and compression thickness. Area was recorded using cursor measurement tool for AGFA® Impax™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.

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Year:  2018        PMID: 30028189      PMCID: PMC6475959          DOI: 10.1259/bjr.20180406

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  1 in total

1.  Automated Breast Volume Assessment Derived From Digital Breast Tomosynthesis Images Compared to Mastectomy Specimen Weight and Its Applications in Cosmetic Optimisation.

Authors:  Asma Munir; Anita M Huws; Saira Khawaja; Sohail Khan; Simon Holt; Yousef Sharaiha
Journal:  Cureus       Date:  2021-11-16
  1 in total

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