Literature DB >> 27696576

Contrast-enhanced Digital Mammography: A Single-Institution Experience of the First 208 Cases.

Tiffany C Lewis1, Victor J Pizzitola1, Marina E Giurescu1, William G Eversman1, Roxanne Lorans1, Kristin A Robinson1, Bhavika K Patel1.   

Abstract

Contrast-enhanced digital mammography (CEDM) is the only imaging modality that provides both (a) a high-resolution, low-energy image comparable to that of digital mammography and (b) a contrast-enhanced image similar to that of magnetic resonance imaging. We report the initial 208 CEDM examinations performed for various clinical indications and provide illustrative case examples. Given its success in recent studies and our experience of CEDM primarily as a diagnostic adjunct, CEDM can potentially improve breast cancer detection by combining the low-cost conclusions of screening mammography with the high sensitivity of magnetic resonance imaging.
© 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  breast imaging; contrast-enhanced breast imaging; dual-energy mammography; mammography

Mesh:

Substances:

Year:  2016        PMID: 27696576     DOI: 10.1111/tbj.12681

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  7 in total

1.  Diagnostic performance of contrast-enhanced dual-energy spectral mammography (CESM): a retrospective study involving 644 breast lesions.

Authors:  María Del Mar Travieso-Aja; Daniel Maldonado-Saluzzi; Pedro Naranjo-Santana; Claudia Fernández-Ruiz; Wilsa Severino-Rondón; Mario Rodríguez Rodríguez; Víctor Vega Benítez; Octavio Pérez-Luzardo
Journal:  Radiol Med       Date:  2019-06-27       Impact factor: 3.469

2.  A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI.

Authors:  Natascha C D'Amico; Enzo Grossi; Giovanni Valbusa; Francesca Rigiroli; Bernardo Colombo; Massimo Buscema; Deborah Fazzini; Marco Ali; Ala Malasevschi; Gianpaolo Cornalba; Sergio Papa
Journal:  Eur Radiol Exp       Date:  2020-01-28

3.  The diagnostic value of contrast-enhanced 2D mammography in everyday clinical use.

Authors:  L M F H Neeter; H P J Raat; S D Meens-Koreman; R S A van Stiphout; S M E C Timmermans; K M Duvivier; M L Smidt; J E Wildberger; P J Nelemans; M B I Lobbes
Journal:  Sci Rep       Date:  2021-11-15       Impact factor: 4.379

4.  Effective Image Processing and Segmentation-Based Machine Learning Techniques for Diagnosis of Breast Cancer.

Authors:  Sushovan Chaudhury; Alla Naveen Krishna; Suneet Gupta; K Sakthidasan Sankaran; Samiullah Khan; Kartik Sau; Abhishek Raghuvanshi; F Sammy
Journal:  Comput Math Methods Med       Date:  2022-04-08       Impact factor: 2.809

Review 5.  Nano-Based Theranostic Platforms for Breast Cancer: A Review of Latest Advancements.

Authors:  Rabia Arshad; Maria Hassan Kiani; Abbas Rahdar; Saman Sargazi; Mahmood Barani; Shirin Shojaei; Muhammad Bilal; Deepak Kumar; Sadanand Pandey
Journal:  Bioengineering (Basel)       Date:  2022-07-15

Review 6.  Early Diagnosis of Breast Cancer.

Authors:  Lulu Wang
Journal:  Sensors (Basel)       Date:  2017-07-05       Impact factor: 3.576

7.  Correlation Between Enhancement Intensity in Contrast Enhancement Spectral Mammography and Types of Kinetic Curves in Magnetic Resonance Imaging.

Authors:  Wojciech Rudnicki; Sylwia Heinze; Tomasz Piegza; Marta Pawlak; Zbigniew Kojs; Elżbieta Łuczyńska
Journal:  Med Sci Monit       Date:  2020-03-04
  7 in total

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