Citations 56

Contrast-Enhanced Mammography: A Scientific Review

Journal of Breast Imaging | December 12, 2019 | Volume: 2 | Issue: 1 | Pages: 7-15

10.1093/jbi/wbz074 | PMID 38424994

AbstractIn this paper we provide an overview of contrast-enhanced mammography (CEM) and a review of the published literature in order to provide a picture of the current state of the evidence on the performance of CEM. Clinical research was fairly sparse following the demonstration of the technique in research subjects about 18 years ago, but the number of publications rapidly increased following commercialization 9 years ago, and even more so in the last 5 years. Initial studies compared CEM with mammography, and clearly showed that CEM could detect cancers not visible on mammography. More recent studies have primarily focused on comparing the performance of CEM with contrast-enhanced magnetic resonance imaging (MRI) in selected cohorts. These studies have almost uniformly shown CEM and MRI to have similar sensitivities, with sensitivity and accuracy showing more variability from study to study. With increasing clinical use, a large number of retrospective reviews of CEM have appeared, showing utility of CEM in the diagnostic clinical setting. Most recently, a small number of papers have been published looking at CEM for high-risk and dense breast screening, two potentially large applications of the technique, showing it to outperform mammography in both populations. CEM has clearly been shown to have clinical utility, but more prospective studies, including screening studies, are needed to further evaluate its performance, especially in comparison with MRI.
Patient-Awareness Survey: Do Breast Implants Affect the Acquisition and Accuracy of Screening Mammography?

Journal of Breast Imaging | October 18, 2019 | Volume: 1 | Issue: 4 | Pages: 297-302

10.1093/jbi/wbz062 | PMID 38424806

Abstract Objective Breast implant augmentation is the most common cosmetic surgical procedure performed in the United States. The purpose of this study was to determine if patients with breast augmentation surgery are aware of the effect of breast implants on the mammographic detection of cancer. Methods An institutional review board exempt patient awareness survey was distributed at a single breast imaging facility to women undergoing screening mammography. Comparative statistical analyses were performed between patients with and without breast implants. Results The respondents were divided into three groups: no prior breast surgery (74%; 524/711), breast surgery with implants (21%; 152/711), and breast surgery without implants (5%; 35/711). Patients with breast implants were more aware that implants decrease the amount of breast tissue seen on a mammogram (75%; 105/141) and that implants result in the need for more mammogram views (70%; 103/147), as compared with patients with no surgery (46%; 221/484 and 31%; 147/478, respectively) (P < 0.001). More women with breast implants reported learning from breast imaging staff rather than from their surgeon that implants decrease the amount of breast tissue seen on a mammogram (46%; 49/106 vs. 38%; 40/106). Of 137 respondents, 35% (n = 48) reported that the effect of implants on their mammogram was discussed preoperatively. Of those who did not recall a preoperative discussion, 42% (16/38) indicated this knowledge would have factored into their decision to get breast implants. Conclusion This study highlights an opportunity for providers to engage in more education and shared decision-making with patients considering breast augmentation surgery to ensure preoperative counseling includes discussion of the effect of implants on mammography.
Personalized circulating tumor DNA analysis to detect residual disease after neoadjuvant therapy in breast cancer

Science Translational Medicine | August 7, 2019 | Volume: 11 | Issue: 504 | Pages: No page available

10.1126/scitranslmed.aax7392 | PMID 31391323

A robust personalized ctDNA test, TARDIS, achieves high accuracy for residual disease after completion of neoadjuvant therapy.
A dual-mode deep transfer learning (D2TL) system for breast cancer detection using contrast enhanced digital mammograms

IISE Transactions on Healthcare Systems Engineering | June 8, 2019 | Volume: 9 | Issue: 4 | Pages: 357-370

10.1080/24725579.2019.1628133

Breast Cancer Screening: Women's Attitudes and Beliefs in Light of Updated United States Preventive Services Task Force and American Cancer Society Guidelines

Journal of Women's Health | September 11, 2018 | Volume: 28 | Issue: 3 | Pages: 302-313

10.1089/jwh.2017.6885 | PMID 30204537

Nipple Discharge: Imaging Variability Among U.S. Radiologists

American Journal of Roentgenology | September 7, 2018 | Volume: 211 | Issue: 4 | Pages: 920-925

10.2214/ajr.18.19622 | PMID 30106616

Breast MRI phenotype and background parenchymal enhancement may predict tumor response to neoadjuvant endocrine therapy

The Breast Journal | August 1, 2018 | Volume: 24 | Issue: 6 | Pages: 1010-1014

10.1111/tbj.13101 | PMID 30066421

Initial Experience of Tomosynthesis-Guided Vacuum-Assisted Biopsies of Tomosynthesis-Detected (2D Mammography and Ultrasound Occult) Architectural Distortions

American Journal of Roentgenology | March 23, 2018 | Volume: 210 | Issue: 6 | Pages: 1395-1400

10.2214/ajr.17.18802 | PMID 29570367

The Future of Contrast-Enhanced Mammography

American Journal of Roentgenology | October 24, 2017 | Volume: 210 | Issue: 2 | Pages: 292-300

10.2214/ajr.17.18749 | PMID 29064748

Variability of Postsurgical Imaging Surveillance of Breast Cancer Patients: A Nationwide Survey Study

American Journal of Roentgenology | October 24, 2017 | Volume: 210 | Issue: 1 | Pages: 222-227

10.2214/ajr.17.17923 | PMID 29064749