Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting.
Publication/Presentation Date
11-27-2021
Abstract
BACKGROUND: The purpose of this study was to determine whether advanced quantitative magnetic resonance imaging (MRI) can be deployed outside of large, research-oriented academic hospitals and into community care settings to predict eventual pathological complete response (pCR) to neoadjuvant therapy (NAT) in patients with locally advanced breast cancer.
METHODS: Patients with stage II/III breast cancer (N = 28) were enrolled in a multicenter study performed in community radiology settings. Dynamic contrast-enhanced (DCE) and diffusion-weighted (DW)-MRI data were acquired at four time points during the course of NAT. Estimates of the vascular perfusion and permeability, as assessed by the volume transfer rate (K
RESULTS: Tumor size and quantitative MRI parameters were similar at baseline between groups that achieved pCR (n = 8) and those that did not (n = 20). Patients achieving a pCR had a larger decline in volume and cellularity than those who did not achieve pCR after one cycle of NAT (p < 0.05). At the third and fourth MRI, changes in tumor volume, K
CONCLUSIONS: Quantitative analysis of DCE-MRI and DW-MRI can be implemented in the community care setting to accurately predict the response of breast cancer to NAT. Dissemination of quantitative MRI into the community setting allows for the incorporation of these parameters into the standard of care and increases the number of clinical community sites able to participate in novel drug trials that require quantitative MRI.
Volume
23
Issue
1
First Page
110
Last Page
110
ISSN
1465-542X
Published In/Presented At
Virostko, J., Sorace, A. G., Slavkova, K. P., Kazerouni, A. S., Jarrett, A. M., DiCarlo, J. C., Woodard, S., Avery, S., Goodgame, B., Patt, D., & Yankeelov, T. E. (2021). Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting. Breast cancer research : BCR, 23(1), 110. https://doi.org/10.1186/s13058-021-01489-6
Disciplines
Diagnosis | Medicine and Health Sciences | Other Analytical, Diagnostic and Therapeutic Techniques and Equipment | Radiology
PubMedID
34838096
Department(s)
Department of Radiology and Diagnostic Medical Imaging
Document Type
Article