Pearls and Pitfalls of Contrast-Enhanced Mammography.

CEDM CESM breast imaging contrast-enhanced mammography

Journal

Journal of breast imaging
ISSN: 2631-6129
Titre abrégé: J Breast Imaging
Pays: United States
ID NLM: 101752190

Informations de publication

Date de publication:
13 Mar 2019
Historique:
medline: 13 3 2019
pubmed: 13 3 2019
entrez: 1 3 2024
Statut: ppublish

Résumé

Contrast-enhanced mammography (CEM) is a promising new imaging modality that uses a dual-energy acquisition to provide both morphologic and vascular assessment of breast lesions. Although no official BI-RADS lexicon exists, interpretation entails using the mammographic BI-RADS lexicon in combination with that for breast MRI. CEM has comparable performance to breast MRI, with sensitivity of 93-100% and specificity of 80-94%. Currently FDA approved for diagnostic imaging, this technology can be helpful in determining disease extent in patients with newly diagnosed breast malignancy, monitoring response to neoadjuvant therapy, identifying mammographically occult malignancies, and diagnostic problem-solving. Studies are ongoing about its role in screening, especially in women with dense breasts or at elevated risk. There are some challenges to successful implementation into practice, but overall, patients tolerate the study well, and exam times are less than the full breast MRI protocol.

Identifiants

pubmed: 38424880
pii: 5379202
doi: 10.1093/jbi/wby013
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

64-72

Informations de copyright

© Society of Breast Imaging 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Jordana Phillips (J)

Beth Israel Deaconess Medical Center, Department of Diagnostic Radiology, Boston, MA.

Valerie J Fein-Zachary (VJ)

Beth Israel Deaconess Medical Center, Department of Diagnostic Radiology, Boston, MA.

Priscilla J Slanetz (PJ)

Beth Israel Deaconess Medical Center, Department of Diagnostic Radiology, Boston, MA.

Classifications MeSH