Evidence map›Paper›PMID 31106990›Full record

ArticleJournal of applied clinical medical physics2019

Quantitative evaluation of breast density using a dual-energy technique on a digital breast tomosynthesis system.

Kun-Mu Lu, Da-Ming Yeh, Bi-Hui Cao, Chia-Yi Lin, Chih-Yu Liang, Yu-Bo Zhou, Chia-Jung Tsai

Abstract readEvaluation Study
In one paragraph

Article in Journal of applied clinical medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. The emerging role of contrast-enhanced mammography.Quantitative imaging in medicine and surgery · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kun-Mu LuDepartment of Radiology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei City, Taiwan.
Da-Ming YehDepartment of Medical Imaging, Chung Shan Medical University Hospital, Taichung City, Taiwan.
Bi-Hui CaoDepartment of Radiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Chia-Yi LinDepartment of Medical Imaging, Chung Shan Medical University Hospital, Taichung City, Taiwan.
Chih-Yu LiangDepartment of Information Engineering, I-Shou University, Kaohsiung City, Taiwan.
Yu-Bo ZhouDepartment of Library, Guangzhou Medical University, Guangzhou, China.
Chia-Jung TsaiDepartment of Medical Imaging and Radiological Sciences, I-Shou University, Kaohsiung City, Taiwan.

Funding

Chung Shan Medical University Hospital CSH-2009-A-004Shin Kong Wu Ho-Su Memorial Hospital SKH-8302-103-0602
6 · The paper itself

Abstract

purposeAlthough breast density is considered a strong risk factor of breast cancer, its quantitative assessment is difficult. To investigate a quantitative method of measuring breast density using dual-energy mammographic imaging with central digital breast tomosynthesis in physically uniform and nonuniform phantoms. MATERIAL AND

methodsThe dual-energy imaging unit used a tungsten anode and silver filter with 30 kVp for high-energy images and 20 kVp for low-energy images. Uniform glandular-equivalent phantoms were used to calibrate a dual-energy based decomposition algorithm. The first study used uniform breast phantoms which ranged in thicknesses from 20 to 70 mm, in 10-mm increments, and which provided 30%, 50%, and 70% of breast density. The second study used uniform phantoms ranging from 10% to 90% of breast density. The third study used non-uniform phantoms (at an average density of 50%) with a thickness which ranged from 20 to 90 mm, in 10-mm increments.

resultsThe root mean square error of breast density measurements was 2.64-3.34% for the uniform, variable thickness phantoms, 4.17% for the uniform, variable density phantoms, and 4.49% for the nonuniform, variable thickness phantoms.

conclusionThe dual-energy technique could be used to measure breast density with a margin of error of < 10% using digital breast tomosynthesis.

Indexed as

Breast DensityPhantoms, ImagingAlgorithmsBreastBreast NeoplasmsCalibrationComputer SimulationFemaleHumansMammographyModels, BiologicalRadiographic Image EnhancementRadiographic Image Interpretation, Computer-Assistedbreast cancerbreast densitydigital breast tomosynthesisdual-energy

Identifiers

PMID31106990
PMCPMC6560244

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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.