Influence of residual fat signal on diffusion kurtosis MRI of suspicious mammography findings

Language
en
Document Type
Article
Issue Date
2023-05-22
First published
2020-08-06
Issue Year
2020
Authors
Mlynarska-Bujny, Anna
Bickelhaupt, Sebastian
Laun, Frederik Bernd
König, Franziska
Lederer, Wolfgang
Daniel, Heidi
Ladd, Mark Edward
Schlemmer, Heinz-Peter
Delorme, Stefan
Kuder, Tristan Anselm
Editor
Publisher
Nature Publishing Group UK
Abstract

Abstract Recent studies showed the potential of diffusion kurtosis imaging (DKI) as a tool for improved classification of suspicious breast lesions. However, in diffusion-weighted imaging of the female breast, sufficient fat suppression is one of the main factors determining the success. In this study, the data of 198 patients examined in two study centres was analysed using standard diffusion and kurtosis evaluation methods and three DKI fitting approaches accounting phenomenologically for fat-related signal contamination of the lesions. Receiver operating characteristic curve analysis showed the highest area under the curve (AUC) for the method including fat correction terms (AUC = 0.85, p < 0.015) in comparison to the values obtained with the standard diffusion (AUC = 0.77) and kurtosis approach (AUC = 0.79). Comparing the two study centres, the AUC value improved from 0.77 to 0.86 (p = 0.036) using a fat correction term for the first centre, while no significant difference with no adverse effects was observed for the second centre (AUC 0.89 vs. 0.90, p = 0.95). Contamination of the signal in breast lesions with unsuppressed fat causing a reduction of diagnostic performance of diffusion kurtosis imaging may potentially be counteracted by proposed adapted evaluation methods.

Journal Title
Scientific Reports
Volume
10
Issue
1
Citation
Scientific Reports 10.1 (2020): 13286. <https://www.nature.com/articles/s41598-020-70154-3>
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