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Diffusion-weighted imaging of the sellar region: A comparison study of TGSE-BLADE and RESOLVE sequences
Hai Shi1, Hao Hu1, Kun Zhou2, Yi-Cheng Hsu3, and Fei-Yun Wu1
1Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China, 2Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, 3MR Research Collaboration Team, Siemens Healthineers Ltd., Shanghai, China

Synopsis

Keywords: DWI/DTI/DKI, New Trajectories & Spatial Encoding Methods

Motivation: We aim to investigate the potential of TGSE-BLADE diffusion-weighted imaging(DWI) in mitigating image artifacts and distortions within the sellar region.

Goal(s): Our study involves a comparative analysis of image quality between TGSE-BLADE diffusion-weighted imaging (DWI) and RESOLVE-DWI within the sellar region.

Approach: We compared qualitative (overall imaging quality, artifacts and distortions) and quantitative (signal-to-noise ratio [SNR] and apparent diffusion coefficient [ADC]) parameters between RESOLVE-DWI and TGSE-BLADE-DWI images.

Results: TGSE-BLADE-DWI exhibited higher imaging quality with less artifacts and distortions and a higher SNR than did RESOLVE-DWI (P<0.05). The tissue ADCs did not differ significantly between the groups (P>0.05).

Impact: TGSE-BLADE-DWI offers a solution to diffusion imaging distortion. Comparative analysis highlights its superiority in mitigating sellar region distortion, promising enhanced quality in challenging clinical applications.

Introduction

Several techniques have recently been developed that enable diffusion-weighted imaging (DWI) to overcome the distortion caused by magnetic susceptibility. These techniques include readout-segmented echo-planar imaging (RESOLVE-DWI)[1-3], zoomed echo-planar imaging[4], and periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER-DWI)[5-7]. Each technique has advantages and drawbacks that should be considered before application in clinical examinations8. RESOLVE-DWI reduces geometric distortion, T2* blurring, and susceptibility artifacts through segmented acquisition of k-space along the readout direction, reducing echo spacing and echo time[3, 8]. PROPELLER-DWI has a long acquisition time and high specific absorption rate preventing its clinical application[9, 10]. Thus, turbo gradient-echo and spin-echo (TGSE)-BLADE-DWI has been introduced to resolve these issues. TGSE-BLADE-DWI features multi-blade k-space filling and has a shorter acquisition time than that of conventional BLADE DWI[11]. Moreover, the use of gradient echoes and fewer refocusing radiofrequency pulses decrease the specific absorption rate. Additionally, placing gradient echoes and spin echoes into separate blades and removing off-resonance phases reduces off-resonance artifacts[9-11]. To our knowledge, no previous TGSE-BLADE-DWI study has compared distortion and artifacts among sellar regions in healthy volunteers. This study was conducted to compare the quality of TGSE-BLADE with RESOLVE images in healthy volunteers.

Methods

This study included 23 healthy volunteers who underwent magnetic resonance imaging, including morphological T1-weighted imaging, RESOLVE-DWI, and TGSE-BLADE-DWI on a 3T system (MAGNETOM Prisma, Siemens Healthcare, Erlangen, Germany). The detailed sequence scanning parameters of TGSE-BLADE and RESOLVE are summarized in Table 1.
Image quality was qualitatively assessed by visualization and classified from 1 (non-diagnostic image quality with severe artifacts and deformations) to 5 (excellent image quality with high-level anatomic details). Image quality was quantitatively assessed by calculating the signal-to-noise ratio (SNR) of the images acquired via TGSE-BLADE-DWI and RESOLVE-DWI. The apparent diffusion coefficients (ADCs) of the pituitary and white matter were also compared.
The Wilcoxon signed rank test was used to determine significant differences in qualitative parameters between TGSE-BLADE and RESOLVE images. Paired t-tests were used to determine significant differences in quantitative parameters between TGSE-BLADE and RESOLVE that conformed to a normal distribution. Interobserver reproducibility for assessing the qualitative parameters was assessed using weighted kappa analysis. P<0.05 was considered statistically significant.

Results

Qualitative assessment of image quality
Two independent observers found that TGSE-BLADE-DWI exhibited higher overall image quality with fewer artifacts and deformations than did RESOLVE-DWI (Table 2 and Fig. 1). Quality scores of the TGSE-BLADE-DWI and RESOLVE-DWI for the 23 healthy volunteers were sellar region = 4 (3,4) vs 3 (3,4; P<0.05); middle cranial fossa = 5 (5,5) vs 4 (4,4; P<0.001); and turbinate = 4 (3,4) vs 2 (1,2; P<0.001), respectively. Kappa values ranged from 0.9–0.943 with good interobserver reproducibility (Table 2).
Quantitative assessment of image quality
Table 3 shows the detailed quantitative assessment results of the image quality between the two sequence sets. TGSE-BLADE-DWI showed a significantly higher SNR than did RESOLVE-DWI: pituitary gland = 10.16±3.71 vs 6.99±2.66, respectively (P<0.001), and white matter = 12.62±4.39 vs 10.93±3.73, respectively (P<0.05). ADC values for the pituitary gland and white matter did not differ significantly between the two sets (pituitary gland = 1271.41±165.35 vs 1198.69±194.58, respectively; white matter = 939.92±62.45 vs 924.46±84.10, respectively; both P>0.05; Table 3).

Discussion

We compared the quality of TGSE-BLADE-DWI and RESOLVE-DWI in the sellar region, which contains many air-bone interfaces and has large changes in magnetic susceptibility. We adjusted the fields of view, slice thicknesses, gaps, and matrices of each DWI technique to be the same to allow qualitative and quantitative comparisons. The quality of the DWI images in the sellar region acquired via TGSE-BLADE was significantly higher than that acquired via RESOLVE. TGSE-BLADE substantially reduced image artifacts and distortion in the sellar region, with a clinically acceptable scan time.

Conclusion

Our preliminary study indicated the feasibility of TGSE-BLADE-DWI for assessing the sellar region. Compared with RESOLVE-DWI, TGSE-BLADE-DWI produced better image quality by reducing susceptibility artifacts and geometric distortion.

Acknowledgements

No acknowledgement found.

References

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[5] Wang FN, Huang TY, Lin FH, et al. PROPELLER EPI: an MRI technique suitable for diffusion tensor imaging at high field strength with reduced geometric distortions. Magn Reson Med. 2005. 54(5): 1232-40.

[6] Fries P, Runge VM, Kirchin MA, et al. Diffusion-weighted imaging in patients with acute brain ischemia at 3 T: current possibilities and future perspectives comparing conventional echoplanar diffusion-weighted imaging and fast spin echo diffusion-weighted imaging sequences using BLADE (PROPELLER). Invest Radiol. 2009. 44(6): 351-9.

[7] Forbes KP, Pipe JG, Karis JP, Heiserman JE. Improved image quality and detection of acute cerebral infarction with PROPELLER diffusion-weighted MR imaging. Radiology. 2002. 225(2): 551-5.

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Figures

DWI, diffusion-weighted imaging; TR, repetition time; TE, echo time; EPI, echo-planar imaging; FOV, field of view; TGSE, turbo gradient-echo and spin-echo.

TGSE, turbo gradient-echo and spin-echo; RESOLVE, readout-segmented echo-planar imaging. M (Q1,Q3) represents the median with first and third quartiles.

SNR, signal-to-noise ratio; ADC, apparent diffusion coefficient; TGSE, turbo gradient-echo and spin-echo; RESOLVE, readout-segmented echo-planar imaging. Values are given as means ± standard deviation.

Fig. 1. A 20-year-old female volunteer with a normal pituitary gland. All images are on the same layer. A) TGSE-BLADE-DWI images of b = 600; B) RESOLVE-DWI images of b = 600; C) coronal T1-weighted images. The TGSE-BLADE-DWI images showed clear structures of the pituitary gland and internal carotid arteries. TGSE-BLADE exhibited higher overall image quality and fewer artifacts and deformations in the images than did RESOLVE. Blue arrow: pituitary gland; yellow arrow: internal carotid arteries.

Proc. Intl. Soc. Mag. Reson. Med. 32 (2024)
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DOI: https://doi.org/10.58530/2024/2438