ArticleJournal of digital imaging2017
Optimization of Image Quality and Dose in Digital Mammography.
Article in Journal of digital imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- From Standard Establishment to Precision Intelligence: Research Progress in Quality Control of Mammography.Diagnostics (Basel, Switzerland) · 2026Review
- Influence of the number of images on threshold image contrast measurements with a phantom with gold disks in digital mammography.Radiological physics and technology · 2025Article
- Addressing Global Gaps in Mammography Screening for Improved Breast Cancer Detection: A Review of the Literature.Cureus · 2024Review
- Phantom-based analysis of variations in automatic exposure control across three mammography systems: implications for radiation dose and image quality in mammography, DBT, and CEM.European radiology experimental · 2024Article
- Estimating Local Diagnostic Reference Levels for Mammography in Dubai.Diagnostics (Basel, Switzerland) · 2023Article
- Influence of mammographic density and compressed breast thickness on true mammographic sensitivity: a cohort study.Scientific reports · 2023Article
- An investigation into the validity of utilising the CDRAD 2.0 phantom for optimisation studies in digital radiography.The British journal of radiology · 2018Article
- Imaging and Dosimetric Study on Direct Flat-Panel Detector-Based Digital Mammography System.Journal of medical physicsArticle
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nowadays, the optimization in digital mammography is one of the most important challenges in diagnostic radiology. The new digital technology has introduced additional elements to be considered in this scenario. A major goal of mammography is related to the detection of structures on the order of micrometers (μm) and the need to distinguish the different types of tissues, with very close density values. The diagnosis in mammography faces the difficulty that the breast tissues and pathological findings have very close linear attenuation coefficients within the energy range used in mammography. The aim of this study was to develop a methodology for optimizing exposure parameters of digital mammography based on a new Figure of Merit: FOM ≡ (IQF
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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.