Literature DB >> 26562238

Optimizing Digital Mammographic Image Quality for Full-Field Digital Detectors: Artifacts Encountered during the QC Process.

Rashmi Jayadevan1, M Julie Armada1, Rola Shaheen1, Constance Mulcahy1, Priscilla J Slanetz1.   

Abstract

Early detection of breast cancer through routine mammographic screening has been shown to reduce mortality from breast cancer by up to 30% in multiple studies. However, this reduction of mortality is possible only with careful attention to image quality by the medical physicist, radiologic technologist, and interpreting radiologist. The accepted quality control (QC) processes for analog mammography are well established. However, now that use of digital units is widespread in both the United States and internationally, information regarding the necessary steps and the inherent challenges that might be encountered at each step needs to be elucidated. In this review, the essential steps of the QC process for digital mammography are reviewed, with special attention to the possible problems that can occur during the QC process, many of which can lead to image artifacts. For each of the daily, weekly, monthly, and semiannual QC tests, we review the steps and expected performance and provide examples of some of the common artifacts that may be encountered. Understanding the components of the QC process and recognizing problems that may result in a suboptimal image is critical to ensure optimal image quality in an effort to maximize early detection of breast cancer. (©)RSNA, 2015.

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Year:  2015        PMID: 26562238     DOI: 10.1148/rg.2015150036

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  2 in total

Review 1.  Detection of 14-3-3 sigma (σ) promoter methylation as a noninvasive biomarker using blood samples for breast cancer diagnosis.

Authors:  Meng Ye; Tao Huang; Ying Ying; Jinyun Li; Ping Yang; Chao Ni; Chongchang Zhou; Si Chen
Journal:  Oncotarget       Date:  2017-02-07

Review 2.  Artefacts in contrast enhanced digital mammography: how can they affect diagnostic image quality and confuse clinical diagnosis?

Authors:  Jacopo Nori; Maninderpal Kaur Gill; Chiara Vignoli; Giulia Bicchierai; Diego De Benedetto; Federica Di Naro; Ermanno Vanzi; Cecilia Boeri; Vittorio Miele
Journal:  Insights Imaging       Date:  2020-02-07
  2 in total

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