Keywords: Simulation/Validation, Diffusion/other diffusion imaging techniques, Fat suppression
Motivation: Fat signal suppression is essential for breast DWI as the very low diffusion coefficient of fat tends to decrease ADC values. STIR is a popular method, but signal suppression/attenuation is not specific to fat.
Goal(s): To show how ADC values obtained with STIR DWI may be biased toward tissue components with long T1s.
Approach: Results were obtained from simulations and data acquired in a dedicated breast DWI phantom made of vials with water and various concentration of PVP.
Results: ADC values obtained with STIR fat suppression may be over/under estimated depending on the T1 and ADC profile within tissues.
Impact: Fat suppression is essential for DWI. Among techniques STIR leads to low SNR and ADC misestimation depending on the tissues T1/ADC content, as STIR signal attenuation is not specific to fat. Other methods should be preferred, such as SPAIR.
1-Chen Lin et al. Fat suppression techniques in breast magnetic resonance imaging: a critical comparison and state of the art. Reports in Medical Imaging (2015) 8 37-49
2-Brandão, Sofia, Luísa Nogueira, Eduarda Matos, Rita Gouveia Nunes, Hugo Alexandre Ferreira, Joana Loureiro, and Isabel Ramos. Fat Suppression Techniques (STIR vs. SPAIR) on Diffusion-Weighted Imaging of Breast Lesions at 3.0 T: Preliminary Experience. La Radiologia Medica (2015) 120 (8): 705–13. .
3-Nogueira, Luisa, Sofia Brandão, Rita G. Nunes, Hugo Alexandre Ferreira, Joana Loureiro, and Isabel Ramos. Breast DWI at 3 T: Influence of the Fat-Suppression Technique on Image Quality and Diagnostic Performance. Clinical Radiology (2015) 70 (3): 286–94.
4- Iima M, Le Bihan D. Clinical Intravoxel Incoherent Motion and Diffusion MR Imaging: Past, Present, and Future. Radiology (2016) 278:13–32
5-Keenan, Kathryn E., Lisa J. Wilmes, Sheye O. Aliu, David C. Newitt, Ella F. Jones, Michael A. Boss, Karl F. Stupic, Stephen E. Russek, and Nola M. Hylton. Design of a Breast Phantom for Quantitative MRI. Journal of Magnetic Resonance Imaging: JMRI (2016) 44 (3): 610–19.
6-Newitt, D. C., Z. Zhang, J. E. Gibbs, S. C. Partridge, T. L. Chenevert, M. A. Rosen, P. J. Bolan, et al. Test-Retest Repeatability and Reproducibility of ADC Measures by Breast DWI: Results from the ACRIN 6698 Trial. Journal of Magnetic Resonance Imaging: JMRI (2019) 49 (6): 1617–28.
7-Takahara T, et al. Diffusion weighted whole body imaging with background body signal suppression (DWIBS): technical improvement using free breathing, STIR and high resolution 3D display. Radiat Med. (2004) 22(4):275-82.
8-Baltzer, Pascal, Ritse M. Mann, Mami Iima, Eric E. Sigmund, Paola Clauser, Fiona J. Gilbert, Laura Martincich, et al. Diffusion-Weighted Imaging of the Breast-a Consensus and Mission Statement from the EUSOBI International Breast Diffusion-Weighted Imaging Working Group. European Radiology (2020) 30 (3): 1436–50.
9-QIBA DWI Profile. https://qibawiki.rsna.org/images/1/1d/QIBADWIProfilev1.45_20170427_v5_accepted.pdf
10-Lee, Su Hyun, Hee Jung Shin, and Woo Kyung Moon. Diffusion-Weighted Magnetic Resonance Imaging of the Breast: Standardization of Image Acquisition and Interpretation. Korean Journal of Radiology. (2020) https://doi.org/10.3348/kjr.2020.0093
Figure 1: Remaining signal after the 180° RF inversion pulse of the STIR sequence.
Raw signal levels (b=0) were simulated for the PVP phantom vials (Table 1 in Fig.3) using 2 TI values to illustrate the respective effects of the inversion time (TI) and T1. Taking T1fat=280ms as an example, the optimal TI for fat suppression is 200ms. With TI=200ms the residual signals are 47.4%, 72.5% and 82.2%, respectively, for PVP40%, PVP25% and PVP10%.
Figure 2: Left: STIR and SPAIR signals over FGT (b=800s/mm²); right: ADC error for STIR compared to ground truth and SPAIR ADC.
Left: Lesions with low ADC appear brighter (more visible) over background FGT with STIR if T1 is long, but brighter with SPAIR if T1 is short. Lesions with high ADC will appear darker than FGT. Right: the resulting ADC of a heterogeneous lesion with low ADC including 50% FGT is overestimated for lesions with short T1 and underestimated for lesions with long T1.
Figure 3 (Table 1): Measured phantom ADC values.
Left: DWI breast phantom from CaliberMRI, Inc
Right: The T1 values are from the manufacturer model documentation. The simulated ADC values were calculated from simulated signals using the vials T1 and ADC values, each vial contributing equally (e.g, 50% fraction each for PVP10 and PVP40 for the PVP10/40 mix, 25% each for PVP10, PVP25 and 50% for PVP40 for the PVP10/25/2x40 mix).
Figure 4: Phantom ADC maps obtained using SPAIR and STIR (TI=200ms).
In homogeneous vials ADC values obtained with SPAIR and STIR are comparable. However, when vial contents are mixed ADC values become overestimated with STIR, depending on the respective T1 and ADC values of mixed vials. In tissues where low ADC values would be associated long T1s the STIR ADC values would be underestimated.
Figure 5: Left: Signal level at b=0; Right: SPAIR and STIR DWI images at b=800s/mm² (same scale).
Left: The residual signal with STIR is deeply reduced compared to SPAIR according to the TI/T1 ratio of the vials. Right: At b=800s/mm² the contrast between vials is flattened out because of the combined effect of T1 (reduced signal for short T1 components) and diffusion (reduced signal for high diffusion). Note that in a breast malignant lesion (long T1 and reduced diffusion and long T1) the aspect will be opposite, the lesion appearing as brighter.