Literature DB >> 33835871

Contrast-enhanced Mammography: How Does It Work?

William F Sensakovic1, Molly B Carnahan1, Christopher D Czaplicki1, Samuel Fahrenholtz1, Anshuman Panda1, Yuxiang Zhou1, William Pavlicek1, Bhavika Patel1.   

Abstract

Contrast-enhanced mammography (CEM) is an imaging technique that uses iodinated contrast medium to improve visualization of breast lesions and assessment of tumor neovascularity. Through modifications in x-ray energy, high- and low-energy images of the breast are combined to highlight areas of contrast medium pooling. The use of contrast material introduces different workflows, artifacts, and risks related to the contrast medium dose. In addition, the need to acquire multiple images in each view introduces different workflows, artifacts, and risks associated with the radiation dose. Although CEM and conventional mammography share many underlying principles, it is important to understand how these two mammographic examinations differ and the mechanisms that facilitate image contrast at CEM. ©RSNA, 2021.

Entities:  

Year:  2021        PMID: 33835871     DOI: 10.1148/rg.2021200167

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


  5 in total

1.  Contrast-enhanced mammography for the assessment of screening recalls: a two-centre study.

Authors:  Andrea Cozzi; Simone Schiaffino; Marianna Fanizza; Veronica Magni; Laura Menicagli; Cristian Giuseppe Monaco; Adrienn Benedek; Diana Spinelli; Giovanni Di Leo; Giuseppe Di Giulio; Francesco Sardanelli
Journal:  Eur Radiol       Date:  2022-06-01       Impact factor: 7.034

2.  Radiation Dose of Contrast-Enhanced Mammography: A Two-Center Prospective Comparison.

Authors:  Gisella Gennaro; Andrea Cozzi; Simone Schiaffino; Francesco Sardanelli; Francesca Caumo
Journal:  Cancers (Basel)       Date:  2022-03-31       Impact factor: 6.639

3.  Artifact reduction in contrast-enhanced mammography.

Authors:  Gisella Gennaro; Enrica Baldan; Elisabetta Bezzon; Francesca Caumo
Journal:  Insights Imaging       Date:  2022-05-13

4.  Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images.

Authors:  Yuqi Sun; Simin Wang; Ziang Liu; Chao You; Ruimin Li; Ning Mao; Shaofeng Duan; Henry S Lynn; Yajia Gu
Journal:  Cancer Imaging       Date:  2022-05-12       Impact factor: 5.605

5.  Contrast-enhanced mammography predicts pathological response after neoadjuvant chemotherapy in locally advanced breast cancer.

Authors:  Daniel Canteros; Benjamin Walbaum; Miguel Córdova-Delgado; Andrés Torrealba; Constanza Reyes; María Elena Navarro; Dravna Razmilic; Mauricio Camus; Francisco Dominguez; Orieta Navarrete; Mauricio P Pinto; Gonzalo Pizarro; Francisco Acevedo; César Sánchez
Journal:  Ecancermedicalscience       Date:  2022-05-23
  5 in total

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