The bright appearance of long-T2 tissues in DWI, termed “T2-shinethrough”, reduces the contrast between healthy tissue and cancer and is prominent in spin-echo based DWI acquisitions. In prostate DWI, the need to avoid T2-shinethrough has led to the acquisition of very high b-values in clinical practice, which may result in low SNR and other image artifacts. In this work, we have assessed the ability of stimulated-echo DWI to provide high contrast between PCa and healthy peripheral zone, without the need for high b-values. Preliminary results in 19 patients show reduced T2-shinethrough effects in stimulated-echo DWI compared with spin-echo DWI.
Simulation: Both diffusion-weighted SE and STE signals were simulated in Matlab with T2=80ms for PCa and T2=130ms for healthy peripheral zone (PZ). The ADC values for PCa and healthy PZ were 1.00mm2/s and 1.50mm2/s, respectively.6-7 Other relevant parameters were Gmax = 50mT/m, SRmax = 100T/m/s, T_90=5.3ms, T_180=6ms and readout-to-echo time=11ms. Different maximum b-values were simulated with TE minimized for each b-value. Different mixing times (TM) were also used for STE sequences. Ignoring T1 relaxation effects (T1 times are generally larger than one second in the prostate8), SE and STE signals are calculated by $$S_{SE}=Ae^{-\frac{TE}{T2}}e^{-bADC}$$ and $$S_{STE}=\frac{1}{2}Ae^{-\frac{TE}{T2}}e^{-bADC}$$.
Signal-to-Noise Ratio (SNR) of the healthy PZ and Contrast-to-Noise Ratio (CNR) between PCa and healthy PZ were calculated for each simulated DWI signal.
Evaluation in patients: 19 patients with suspected prostatic disease were recruited after IRB approval and informed written consent, and each patient was scanned on one of two different 3T scanners. In each exam, two SE-DWI series with b=[100, 800]s/mm2 and b=[100,1500]s/mm2, respectively, were acquired as reference DWI sequences. A STE-DWI series was performed with b=[100, 800]s/mm2. Detailed imaging parameters are shown in Table 1. A reader study including two radiologists was conducted. Readers were assigned three reading sessions; in each session, T2-weighted images, one DWI series (blinded) and its ADC maps were provided to each reader with patients listed in a randomized order. SNR, CNR and overall image quality were evaluated based on a 5-point score. The Wilcoxon signed rank test was performed on the readers' scores to evaluate the differences among sequences. ROI measurements of SNR, CNR and ADC were performed in the PCa and adjacent healthy PZ (ROIs were drawn based on the readers’ annotations). Ratio t-test was used for pair-wise comparison of the SNR and CNR measurements between sequences; two-sample t-test was conducted for ADC between PCa and healthy PZ.
Fig.1(a-b) illustrates the change of TE over b-values and the signal decay curves for both SE- and STE-DWI in the simulation. The double-head arrows with the same length in Fig.1(b) point to signal difference between PCa and healthy PZ tissues, indicating the same contrast can be expected with STE b=800s/mm2 as with SE b=1500s/mm2. Fig.1(c-d) presents the comparison of SNR and CNR between SE and STE sequences, where STE can reach similar CNR at around b=800s/mm2 as SE b=1500s/mm2, but STE provides higher SNR. Fig.1(e) shows that the CNR of STE-DWI is increasing over TM in tissues with long T1.
An example patient case is shown in Fig.2 with prostate cancer in the PZ. Preliminary results from the reader study in Table 2 did not show significant difference between different sequences except for SNR. Figure 3 shows the ROI measurements of SNR, CNR and ADC. The SNR of STE b=800s/mm2 is significantly higher than SE b=1500s/mm2 while the CNR is significantly higher than both SE b=800s/mm2 and 1500s/mm2 (although the averaged difference in CNR between STE b=800s/mm2 and SE 1500s/mm2 is small). As expected, the ADC of PCa is significantly lower than healthy PZ in all three sequences.
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