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Calculation of breast volumes from mammogram: Comparison of four separate equations relative to mastectomy specimen volumes
Author(s) -
Rostas Jack W.,
Bhutiani Neal,
Crigger Morgan,
Crawford Stacey M.W.,
Hollenbach Reiss B.,
Heidrich Samantha R.,
Martin Robert C.G.,
McMasters Kelly M.,
Ajkay Nicolás
Publication year - 2018
Publication title -
journal of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.201
H-Index - 111
eISSN - 1096-9098
pISSN - 0022-4790
DOI - 10.1002/jso.25076
Subject(s) - medicine , breast cancer , mammography , mastectomy , breast tissue , breast surgery , radiology , reproducibility , nuclear medicine , cancer , mathematics , statistics
Background and Objectives Accurately assessing breast volume (BV) relative to the volume of breast tissue to be removed could help objectively determine the optimal surgical candidates for breast conserving surgery. The objective of this study was to determine the optimal mammography‐based method of BV estimation. Methods Mammography data was obtained for patients who underwent mastectomy for breast cancer from 2005 to 2015. This data was used to calculate BV using four previously published equations. Results were compared to mastectomy specimen volumes calculated from specimen weights and breast density. Five practitioners then independently assessed reproducibility and ease of use. Results Complete mammographic measurements were available for 65 breasts from 45 patients. Median age was 58 years (range 19‐82). Mammographic breast density scores were available for 62 breasts. Of the 65 mastectomies performed, 16 (36%) were simple mastectomies. The equation BV = 1/3πR cc R mlo H mlo most closely approximated actual breast specimen volumes ( R = 0.89, P < 0.0001). Internal correlation of calculated BV was excellent among all practitioners (lowest Pearson R = 0.963). Conclusions Breast volumes can be reliably estimated utilizing measurements from a preoperative mammogram. This low‐cost method of volumetric analysis can be employed to guide surgical decision making in treatment of patients with invasive breast cancer.