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04-09-2023 | Breast Cancer | Commentary

Contrast-enhanced mammography: better with AI?

Authors: Tianyu Zhang, Ritse M. Mann

Published in: European Radiology | Issue 2/2024

Excerpt

Breast cancer is the most common cancer and also the most frequent cause of cancer-related mortality in women [1]. Population-based breast cancer screening provides the possibility for early detection of breast cancer. Early detection and subsequent precision treatment are important to improve outcomes. Currently, full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) fulfill a crucial role in breast cancer screening and evaluation. They rely on changes in breast morphology caused by breast cancer. Unfortunately, especially for women with dense breasts, this has limited accuracy [2, 3]. Contrast-enhanced breast magnetic resonance imaging (MRI) is considered the best imaging technique for breast cancer detection, but MRI may not be suitable for every patient, and is associated with relatively high costs of the test, limited availability of scanners, and long waiting times [3, 4]. …

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Title: Contrast-enhanced mammography: better with AI?
Authors: Tianyu Zhang
Ritse M. Mann
Publication date: 04-09-2023
Publisher: Springer Berlin Heidelberg
Keywords: Breast Cancer
Breast Cancer
Mammography
Mammography
Artificial Intelligence
Published in: European Radiology / Issue 2/2024
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-023-10190-5

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Contrast-enhanced mammography: better with AI?

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