MRI Insights in Breast Imaging.

BI-RADS Breast cancer chemotherapy diffusion magnetic resonance imaging screening.

Journal

Current medical imaging
ISSN: 1573-4056
Titre abrégé: Curr Med Imaging
Pays: United Arab Emirates
ID NLM: 101762461

Informations de publication

Date de publication:
26 Feb 2024
Historique:
received: 26 09 2023
revised: 17 11 2023
accepted: 22 12 2023
medline: 28 2 2024
pubmed: 28 2 2024
entrez: 28 2 2024
Statut: aheadofprint

Résumé

In the world, breast cancer is the most commonly diagnosed cancer among women. Currently, MRI is the most sensitive breast imaging method for detecting breast cancer, although false positive rates are still an issue. To date, the accuracy of breast MRI is widely recognized across various clinical scenarios, in particular, staging of known cancer, screening for breast cancer in high-risk women, and evaluation of response to neoadjuvant chemotherapy. Since technical development and further clinical indications have expanded over recent years, dedicated breast radiologists need to constantly update their knowledge and expertise to remain confident and maintain high levels of diagnostic performance in breast MRI. This review aims to detail current and future applications of breast MRI, from technological requirements and advances to new multiparametric and abbreviated protocols, and ultrafast imaging, as well as current and future indications.

Identifiants

pubmed: 38415477
pii: CMIR-EPUB-138778
doi: 10.2174/0115734056274670240205090722
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Alessia Angela Maria Orlando (AAM)

Department of Biomedicine, Azienda Ospedaliera Universitaria Policlinico "Paolo Giaccone" di Palermo, Palermo, Italy.

Paola Clauser (P)

Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.

Calogero Zarcaro (C)

Department of Biomedicine, Azienda Ospedaliera Universitaria Policlinico "Paolo Giaccone" di Palermo, Palermo, Italy.

Fabiola Ferraro (F)

Department of Biomedicine, Azienda Ospedaliera Universitaria Policlinico "Paolo Giaccone" di Palermo, Palermo, Italy.

Calogero Curatolo (C)

Department of Biomedicine, Azienda Ospedaliera Universitaria Policlinico "Paolo Giaccone" di Palermo, Palermo, Italy.

Maria Adele Marino (MA)

Department of Biomedical Sciences and Morphologic and Functional Imaging, University of Messina, Messina, Italy.

Tommaso Vincenzo Bartolotta (TV)

Department of Biomedicine, Azienda Ospedaliera Universitaria Policlinico "Paolo Giaccone" di Palermo, Palermo, Italy.

Classifications MeSH