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Utility of synthetic MRI in predicting pathological complete response of various breast cancer subtypes prior to neoadjuvant chemotherapy.

Authors :
Matsuda M
Fukuyama N
Matsuda T
Kikuchi S
Shiraishi Y
Takimoto Y
Kamei Y
Kurata M
Kitazawa R
Kido T
Source :
Clinical radiology [Clin Radiol] 2022 Nov; Vol. 77 (11), pp. 855-863. Date of Electronic Publication: 2022 Aug 30.
Publication Year :
2022

Abstract

Aim: To evaluate the usefulness of synthetic magnetic resonance imaging (MRI) performed before the initiation of neoadjuvant chemotherapy (NAC) in predicting whether breast cancers can achieve a pathological complete response (pCR) after the completion of NAC.<br />Materials and Methods: This retrospective study investigated 37 consecutive patients with 39 breast cancers (pCR: 14, and non-pCR: 25) who underwent dynamic contrast-enhanced (DCE)-MRI and synthetic MRI before the initiation of NAC. Using synthetic MRI images, quantitative values (T1 and T2 relaxation times, proton density [PD] and their standard deviations [SD]) were obtained in breast lesions, before (Pre-T1, Pre-T2, Pre-PD, SD of Pre-T1, SD of Pre-T2, SD of Pre-PD) and after (Gd-T1, Gd-T2, Gd-PD, SD of Gd-T1, SD of Gd-T2, SD of Gd-PD) contrast agent injection. The aforementioned quantitative values and several morphological features that were identified on DCE-MRI were compared between pCR and non-pCR.<br />Results: Multivariate analyses revealed that the SD of Pre-T2 (p=0.038) was significant and was an independent predictor of pCR, with an area under the receiver operating characteristics curve of 0.829. The sensitivity, specificity, and accuracy of the SD of Pre-T2 with an optimal cut-off value of 11.5 were 71.4%, 80%, and 76.3%, respectively.<br />Conclusions: The SD of Pre-T2 obtained from synthetic MRI was used successfully to predict those breast cancers that would achieve a pCR after the completion of NAC; however, these results are preliminary and need to be verified by further studies.<br /> (Copyright © 2022 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1365-229X
Volume :
77
Issue :
11
Database :
MEDLINE
Journal :
Clinical radiology
Publication Type :
Academic Journal
Accession number :
36055826
Full Text :
https://doi.org/10.1016/j.crad.2022.06.019