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  4. Feasibility study of 2D Dixon-Magnetic Resonance Fingerprinting (MRF) of breast cancer
 
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2022
Journal Article
Title

Feasibility study of 2D Dixon-Magnetic Resonance Fingerprinting (MRF) of breast cancer

Abstract
Purpose: Application of MRF to evaluate the feasibility of 2D Dixon blurring-corrected MRF (2DDb-cMRF) to differentiate breast cancer (BC) from normal fibroglandular tissue (FGT). Methods: Prospective study on 14 patients with unilateral BC on 1.5 T system/axial T2w-TSE sequence, 2DDb-cMRF, B1 map, dynamic contrast-enhanced (DCE) T1-w GE-series. Mean T1 and T2 values and standard deviations were computed in the BC-/FGT-ROI on pre-/post-contrast MRF-maps and their differences were tested by two-tailed student t-test. Accuracy and repeatability of MRF were evaluated in a phantom experiment with gelatin with Primovist surrounded by fat. The T1 reduction between pre-/post-contrast MRF-maps was correlated to DCE signal enhancement in the last image post-contrast through the Pearson´s correlation coefficient (r) and for the phantom validation experiment through the Lin's concordance correlation coefficient (CCC). Visual evaluation of cancers on MRF-Maps was performed by rating each MRF-Map by 3 radiologists. Results: T1- and T2-MRF values of BC vs. FGT were for T1 and T2 pre-contrast respectively: 1147 ± 1 ms vs. 1052 ± 9 ms (p = 0.007) and 83 ± 1 ms vs. 73 ± 1 ms (p = 0.03); post-contrast respectively: 367.3 ± 121.5 ms vs. 690.3 ± 200.3 ms (p = 0.0005) and 76.9 ± 11.5 ms vs. 69.8 ± 15.2 ms (p = 0.12). r was positive (FGT r = 0.7; BC r = 0.6). CCC was 0.999 for T1 and 0.994 for T2. In the T1- and T2-MRF-Maps before contrast respectively (7,7,8)/14 and (5,9,8)/14 cancers were visible to the readers; afterwards, (11,12,12)/14 and (5,6,11)/14. Conclusions: MRF is promising for distinction between BC and FGT as well as for analyzing pre-/post-contrast T1 changes. However, its potential for differential diagnosis warrants further studies.
Author(s)
Zanderigo, Eloisa
Huck, Luisa Charlotte
Distelmaier, Martina Susanne
Dethlefsen, Ebba
Maywald, Mirjam
Truhn, Daniel
Dirrichs, Timm
Doneva, Mariya
Schulz, Volkmar
Fraunhofer-Institut für Digitale Medizin MEVIS  
Kuhl, Christiane K.
Nolte, Teresa
Journal
European journal of radiology open  
Project(s)
Digital Hybrid Breast PET/MRI for Enhanced Diagnosis of Breast Cancer  
Funding(s)
H2020-EU.3.1.  
Funder
European Commission  
Open Access
DOI
10.1016/j.ejro.2022.100453
Additional link
Full text
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
Keyword(s)
  • Breast cancer

  • Breast diagnostic

  • Magnetic Resonance Fingerprinting

  • Magnetic resonance imaging

  • Quantitative MRI

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