ArticleMedical physics2012
Characterization of the homogeneous tissue mixture approximation in breast imaging dosimetry.
Article in Medical physics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 80 citations in OpenAlex.
- Development and performance evaluation of an upright dedicated cone-beam breast CT system.Medical physics · 2026Article
- 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
- Characterization of a new radiochromic film (LD-V1) using mammographic beam qualities.Zeitschrift fur medizinische Physik · 2025Article
- Simultaneous reduction of radiation dose and scatter-to-primary ratio using a truncated detector and advanced algorithms for dedicated cone-beam breast CT.Biomedical physics & engineering express · 2025Article
- Dedicated cone-beam breast CT: Data acquisition strategies based on projection angle-dependent normalized glandular dose coefficients.Medical physics · 2023Article
- Digital Breast Tomosynthesis: Three-Dimensional Measurement of Breast-Absorbed Dose Distribution.Asian Pacific journal of cancer prevention : APJCP · 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
- 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
- Radiation dosimetry of a clinical prototype dedicated cone-beam breast CT system with offset detector.Medical physics · 2021Article
- Effects of kV, filtration, dose, and object size on soft tissue and iodine contrast in dedicated breast CT.Medical physics · 2020Article
- 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
- The compressed breast during mammography and breast tomosynthesis: in vivo shape characterization and modeling.Physics in medicine and biology · 2017Article
- A Monte Carlo model for mean glandular dose evaluation in spot compression mammography.Medical physics · 2017Article
- Two-dimensional breast dosimetry improved using three-dimensional breast image data.Radiological physics and technology · 2017Review
- Improvements of an objective model of compressed breasts undergoing mammography: Generation and characterization of breast shapes.Medical physics · 2017Article
- Dosimetry in x-ray-based breast imaging.Physics in medicine and biology · 2016Article
- Breast dose in mammography is about 30% lower when realistic heterogeneous glandular distributions are considered.Medical physics · 2015Article
- Register cardiac fiber orientations from 3D DTI volume to 2D ultrasound image of rat hearts.Proceedings of SPIE--the International Society for Optical Engineering · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeTo compare the estimate of normalized glandular dose in mammography and breast CT imaging obtained using the actual glandular tissue distribution in the breast to that obtained using the homogeneous tissue mixture approximation.
methodsTwenty volumetric images of patient breasts were acquired with a dedicated breast CT prototype system and the voxels in the breast CT images were automatically classified into skin, adipose, and glandular tissue. The breasts in the classified images underwent simulated mechanical compression to mimic the conditions present during mammographic acquisition. The compressed thickness for each breast was set to that achieved during each patient's last screening cranio-caudal (CC) acquisition. The volumetric glandular density of each breast was computed using both the compressed and uncompressed classified images, and additional images were created in which all voxels representing adipose and glandular tissue were replaced by a homogeneous mixture of these two tissues in a proportion corresponding to each breast's volumetric glandular density. All four breast images (compressed and uncompressed; heterogeneous and homogeneous tissue) were input into Monte Carlo simulations to estimate the normalized glandular dose during mammography (compressed breasts) and dedicated breast CT (uncompressed breasts). For the mammography simulations the x-ray spectra used was that used during each patient's last screening CC acquisition. For the breast CT simulations, two x-ray spectra were used, corresponding to the x-ray spectra with the lowest and highest energies currently being used in dedicated breast CT prototype systems under clinical investigation. The resulting normalized glandular dose for the heterogeneous and homogeneous versions of each breast for each modality was compared.
resultsFor mammography, the normalized glandular dose based on the homogeneous tissue approximation was, on average, 27% higher than that estimated using the true heterogeneous glandular tissue distribution (Wilcoxon Signed Rank Test p = 0.00046). For dedicated breast CT, the overestimation of normalized glandular dose was, on average, 8% (49 kVp spectrum, p = 0.00045) and 4% (80 kVp spectrum, p = 0.000089). Only two cases in mammography and two cases in dedicated breast CT with a tube voltage of 49 kVp resulted in lower dose estimates for the homogeneous tissue approximation compared to the heterogeneous tissue distribution.
conclusionsThe normalized glandular dose based on the homogeneous tissue mixture approximation results in a significant overestimation of dose to the imaged breast. This overestimation impacts the use of dose estimates in absolute terms, such as for risk estimates, and may impact some comparative studies, such as when modalities or techniques with different x-ray energies are used. The error introduced by the homogeneous tissue mixture approximation in higher energy x-ray modalities, such as dedicated breast CT, although statistically significant, may not be of clinical concern. Further work is required to better characterize this overestimation and potentially develop new metrics or correction factors to better estimate the true glandular dose to breasts undergoing imaging with ionizing radiation.
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.