How to optimize breast MRI protocol? The value of combined analysis of ultrafast and diffusion-weighted MRI sequences.
BI-RADS
Breast cancer
Diffusion magnetic resonance imaging
Magnetic resonance imaging
Journal
Diagnostic and interventional imaging
ISSN: 2211-5684
Titre abrégé: Diagn Interv Imaging
Pays: France
ID NLM: 101568499
Informations de publication
Date de publication:
Jun 2023
Jun 2023
Historique:
received:
21
11
2022
revised:
27
01
2023
accepted:
30
01
2023
medline:
29
5
2023
pubmed:
22
2
2023
entrez:
21
2
2023
Statut:
ppublish
Résumé
The purpose of this retrospective study was to demonstrate the validity of early enhancement criteria on ultrafast magnetic resonance imaging (MRI) sequence to predict malignancy in a large population, and the benefit of diffusion-weighted imaging (DWI) to improve the performance of breast MRI. Women who underwent breast MRI examination between April 2018 and September 2020 and further breast biopsy were retrospectively included. Two readers quoted the different conventional features and classified the lesion according to the BI-RADS classification based on the conventional protocol. Then, the readers checked for the presence of early enhancement (≤ 30 s) on ultrafast sequence and the presence of an apparent diffusion coefficient (ADC) ≥ 1.5 × 10 Two hundred fifty-seven women (median age: 51 years; range: 16-92 years) with 436 lesions (157 benign, 11 borderline and 268 malignant) were included. A MRI protocol plus two simple functional features, early enhancement (≤ 30 s) and an ADC value ≥ 1.5 × 10 BI-RADS analysis based on a simple short MRI protocol plus early enhancement on ultrafast sequence and ADC value has a greaterr diagnostic accuracy than a conventional protocol and may avoid unnecessary biopsy.
Identifiants
pubmed: 36801096
pii: S2211-5684(23)00022-0
doi: 10.1016/j.diii.2023.01.010
pii:
doi:
Substances chimiques
Contrast Media
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
284-291Informations de copyright
Copyright © 2023 Société française de radiologie. Published by Elsevier Masson SAS. All rights reserved.
Déclaration de conflit d'intérêts
Disclosure of interest Isabelle Thomassin-Nagarra is consultant for General Electric Healthcare, Hologic, Canon Medical, Incepto, iCAD, Fujifilm, Guerbet, Bayer Healthcare, Siemens Healthcare, Bracco and Bard.