ArticleMedical physics2015
Breast dose in mammography is about 30% lower when realistic heterogeneous glandular distributions are considered.
Article in Medical physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 76 citations in OpenAlex.
- Design and measurement of 3D-printed variable-morphology and variable-density breast phantoms for mammography and breast CT dose assessment.3D printing in medicine · 2026Article
- Scatter correction for contrast-enhanced digital breast tomosynthesis with a dual-layer detector.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Radiation doses received in the UK breast screening programmes 2019-2023.The British journal of radiology · 2024Article
- Digital Breast Tomosynthesis: Three-Dimensional Measurement of Breast-Absorbed Dose Distribution.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Dedicated cone-beam breast CT: Data acquisition strategies based on projection angle-dependent normalized glandular dose coefficients.Medical physics · 2023Article
- Utilization of three-layers heterogeneous mammographic phantom through MCNPX code for breast and chest radiation dose levels at different diagnostic X-ray energies: A Monte Carlo simulation study.Frontiers in public health · 2023Article
- Patient-derived heterogeneous breast phantoms for advanced dosimetry in mammography and tomosynthesis.Medical physics · 2022Article
- Radiation doses in the United Kingdom breast screening programmes 2016-2019.The British journal of radiology · 2022Article
- Fibroglandular tissue distribution in the breast during mammography and tomosynthesis based on breast CT data: A patient-based characterization of the breast parenchyma.Medical physics · 2021Article
- Three-layer heterogeneous mammographic phantoms for Monte Carlo simulation of normalized glandular dose coefficients in mammography.Scientific reports · 2020Article
- Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum-likelihood polynomial fitting approach.Medical physics · 2019Article
- Monte Carlo study on optimal breast voxel resolution for dosimetry estimates in digital breast tomosynthesis.Physics in medicine and biology · 2018Article
- Internal breast dosimetry in mammography: Monte Carlo validation in homogeneous and anthropomorphic breast phantoms with a clinical mammography system.Medical physics · 2018Article
- Average glandular dose coefficients for pendant-geometry breast CT using realistic breast phantoms.Medical physics · 2017Article
- A Monte Carlo model for mean glandular dose evaluation in spot compression mammography.Medical physics · 2017Article
- Monte Carlo Basics for Radiation Dose Assessment in Diagnostic Radiology.Journal of the American College of Radiology : JACR · 2017Article
- Generation and analysis of clinically relevant breast imaging x-ray spectra.Medical physics · 2017Article
- Two-dimensional breast dosimetry improved using three-dimensional breast image data.Radiological physics and technology · 2017Review
- Dosimetry in x-ray-based breast imaging.Physics in medicine and biology · 2016Article
- Radiation doses received in the United Kingdom breast screening programme in 2010 to 2012.The British journal of radiology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
purposeCurrent dosimetry methods in mammography assume that the breast is comprised of a homogeneous mixture of glandular and adipose tissues. Three-dimensional (3D) dedicated breast CT (bCT) data sets were used previously to assess the complex anatomical structure within the breast, characterizing the statistical distribution of glandular tissue in the breast. The purpose of this work was to investigate the effect of bCT-derived heterogeneous glandular distributions on dosimetry in mammography.
methodsbCT-derived breast diameters, volumes, and 3D fibroglandular distributions were used to design realistic compressed breast models comprised of heterogeneous distributions of glandular tissue. The bCT-derived glandular distributions were fit to biGaussian functions and used as probability density maps to assign the density distributions within compressed breast models. The MCNPX 2.6.0 Monte Carlo code was used to estimate monoenergetic normalized mean glandular dose "DgN(E)" values in mammography geometry. The DgN(E) values were then weighted by typical mammography x-ray spectra to determine polyenergetic DgN (pDgN) coefficients for heterogeneous (pDgNhetero) and homogeneous (pDgNhomo) cases. The dependence of estimated pDgN values on phantom size, volumetric glandular fraction (VGF), x-ray technique factors, and location of the heterogeneous glandular distributions was investigated.
resultsThe pDgNhetero coefficients were on average 35.3% (SD, 4.1) and 24.2% (SD, 3.0) lower than the pDgNhomo coefficients for the Mo-Mo and W-Rh x-ray spectra, respectively, across all phantom sizes and VGFs when the glandular distributions were centered within the breast phantom in the coronal plane. At constant breast size, increasing VGF from 7.3% to 19.1% lead to a reduction in pDgNhetero relative to pDgNhomo of 23.6%-27.4% for a W-Rh spectrum. Displacement of the glandular distribution, at a distance equal to 10% of the compressed breast width in the superior and inferior directions, resulted in a 37.3% and a -26.6% change in the pDgNhetero coefficient, respectively, relative to the centered distribution for the Mo-Mo spectrum. Lateral displacement of the glandular distribution, at a distance equal to 10% of the compressed breast width, resulted in a 1.5% change in the pDgNhetero coefficient relative to the centered distribution for the W-Rh spectrum.
conclusionsIntroducing bCT-derived heterogeneous glandular distributions into mammography phantom design resulted in decreased glandular dose relative to the widely used homogeneous assumption. A homogeneous distribution overestimates the amount of glandular tissue near the entrant surface of the breast, where dose deposition is exponentially higher. While these findings are based on clinically measured distributions of glandular tissue using a large cohort of women, future work is required to improve the classification of glandular distributions based on breast size and overall glandular fraction.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.