Journal Article

DKFZ-2020-01619

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Influence of residual fat signal on diffusion kurtosis MRI of suspicious mammography findings.

Mlynarska-Bujny, A. (First author)DKFZ* ; Bickelhaupt, S.DKFZ* ; Laun, F. B. ; König, F.DKFZ* ; Lederer, W. ; Daniel, H. ; Ladd, M. E.DKFZ* ; Schlemmer, H.-P.DKFZ* ; Delorme, S.DKFZ* ; Kuder, T. A. (Last author)DKFZ*

2020
Macmillan Publishers Limited, part of Springer Nature [London]

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Please use a persistent id in citations: doi:10.1038/s41598-020-70154-3

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.

Note: #EA:E010#LA:E020#

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Contributing Institute(s):

1. E010 Radiologie (E010)
2. E020 Med. Physik in der Radiologie (E020)
3. NWG Med. Bildgebung und Radiologie (E250)

Research Program(s):

1. 315 - Imaging and radiooncology (POF3-315) (POF3-315)

Appears in the scientific report 2020

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