MRI in the Setting of Neoadjuvant Treatment of Breast Cancer.

MRI breast cancer neoadjuvant chemotherapy

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:
07 Jun 2022
Historique:
received: 21 12 2020
medline: 7 6 2022
pubmed: 7 6 2022
entrez: 29 2 2024
Statut: ppublish

Résumé

Neoadjuvant therapy may reduce tumor burden preoperatively, allowing breast conservation treatment for tumors previously unresectable or requiring mastectomy without reducing disease-free survival. Oncologists can also use the response of the tumor to neoadjuvant chemotherapy (NAC) to identify treatment likely to be successful against any unknown potential distant metastasis. Accurate preoperative estimations of tumor size are necessary to guide appropriate treatment with minimal delays and can provide prognostic information. Clinical breast examination and mammography are inaccurate methods for measuring tumor size after NAC and can over- and underestimate residual disease. While US is commonly used to measure changes in tumor size during NAC due to its availability and low cost, MRI remains more accurate and simultaneously images the entire breast and axilla. No method is sufficiently accurate at predicting complete pathological response that would obviate the need for surgery. Diffusion-weighted MRI, MR spectroscopy, and MRI-based radiomics are emerging fields that potentially increase the predictive accuracy of tumor response to NAC.

Identifiants

pubmed: 38422421
pii: 6410205
doi: 10.1093/jbi/wbab059
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

320-330

Informations de copyright

© Society of Breast Imaging 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Cecilia Mercado (C)

NYU Grossman School of Medicine, Department of Radiology, New York, NY, USA.

Chloe Chhor (C)

NYU Grossman School of Medicine, Department of Radiology, New York, NY, USA.

John R Scheel (JR)

University of Washington, Department of Radiology, Seattle, WA, USA.

Classifications MeSH