Literature DB >> 33411847

The effect of breast density on the missed lesion rate in screening digital mammography determined using an adjustable-density breast phantom tailored to Japanese women.

Mika Yamamuro1,2, Yoshiyuki Asai1, Naomi Hashimoto1, Nao Yasuda1, Yoshiaki Ozaki3, Kazunari Ishii4, Yongbum Lee2.   

Abstract

OBJECTIVE: Despite the high risk of missing lesions in mammography, the missed lesion rate is yet to be clinically established. Further, no breast phantoms with adjustable breast density currently exist. We developed a novel, adjustable-density breast phantom with a composition identical to that of actual breasts, and determined the quantitative relationship between breast density and the missed lesion rate in mammography.
METHODS: An original breast phantom consisting of adipose- and fibroglandular-equivalent materials was developed, and a receiver operating characteristic (ROC) study was performed. Breast density, which is the fraction by weight of fibroglandular to total tissue, was adjusted to 25%, 50%, and 75% by arbitrarily mixing the two materials. Microcalcification, mass lesions, and spiculated lesions, each with unique characteristics, were inserted into the phantom. For the above-mentioned fibroglandular densities, 50 positive and 50 negative images for each lesion type were used as case samples for the ROC study. Five certified radiological technologists participated in lesion detection.
RESULTS: The mass-lesion detection rate, according to the area under the curve, decreased by 18.0% (p = 0.0001, 95% Confidence intervals [CI] = 0.1258 to 0.1822) and 37.8% (p = 0.0003, 95% CI = 0.2453 to 0.4031) for breast densities of 50% and 75%, respectively, compared to that for a 25% breast density. A similar tendency was observed with microcalcification; however, spiculated lesions did not follow this tendency.
CONCLUSIONS: We quantified the missed lesion rate in different densities of breast tissue using a novel breast phantom, which is imperative for advancing individualized screening mammography.

Entities:  

Year:  2021        PMID: 33411847      PMCID: PMC7790234          DOI: 10.1371/journal.pone.0245060

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  37 in total

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2.  Prediction of glandularity and breast radiation dose from mammography results in Japanese women.

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Review 7.  Risk-based Breast Cancer Screening: Implications of Breast Density.

Authors:  Christoph I Lee; Linda E Chen; Joann G Elmore
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9.  Mammographic breast density: How it affects performance indicators in screening programmes?

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10.  The Effect of California's Breast Density Notification Legislation on Breast Cancer Screening.

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