Influence of residual fat signal on diffusion kurtosis MRI of suspicious mammography findings
| Autor: | Franziska König, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Heidi Daniel, Wolfgang Lederer, Stefan Delorme, Frederik Bernd Laun, Anna Mlynarska-Bujny, Mark E. Ladd, Sebastian Bickelhaupt |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Adult lcsh:Medicine Signal-To-Noise Ratio Residual Article 03 medical and health sciences 0302 clinical medicine Breast cancer Medical research Image Interpretation Computer-Assisted Image Processing Computer-Assisted Medicine Mammography Humans ddc:610 Diffusion (business) lcsh:Science Diffusion Kurtosis Imaging Retrospective Studies Multidisciplinary Receiver operating characteristic medicine.diagnostic_test business.industry lcsh:R Area under the curve Middle Aged Signal on 030104 developmental biology Diffusion Magnetic Resonance Imaging Adipose Tissue Kurtosis lcsh:Q Female business Nuclear medicine 030217 neurology & neurosurgery |
| Zdroj: | Scientific Reports Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020) |
| Popis: | 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 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. |
| Databáze: | OpenAIRE |
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