Comparison of single-shot and multi-shot diffusion-weighted imaging in brain disease diagnosis at 5.
Poster No:
1917
Submission Type:
Abstract Submission
Authors:
Hao Chen1, Runyu Tang2, Xiaopeng Song2, Ran Zong3, Kexue Deng4
Institutions:
1The First Affiliated Hospital of USTC, HeFei, AnHui, 2Central Research Institute, United Imaging Healthcare, Shanghai, 3Department of Radiology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medici, Hefei, Anhui, 4The First Affiliated Hospital of USTC, Hefei, Anhui
First Author:
Co-Author(s):
Ran Zong
Department of Radiology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medici
Hefei, Anhui
Department of Radiology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medici
Hefei, Anhui
Introduction:
Introduction
Brain diseases are one of the most common causes of death in humans(1). Early diagnosis of brain diseases has a substantial impact on prognosis and treatment. Diffusion-weighted imaging (DWI) plays an important role in the early detection of a variety of brain diseases, such as acute cerebral infarction, brain abscess, and intracranial tumors (2,3). In traditional methods, DWI uses a single-shot echo-planar imaging (ssEPI) sequence for data collection. In an ssEPI sequence, all lines of the k-space are acquired within one excitation, which has a high sampling efficacy and is insensitive to motion. However, ssEPI is susceptible to B0 inhomogeneity and eddy currents, which can cause severe distortions and susceptibility artifacts(4). (5). The msEPI technique collects k-space data in multiple excitations, which reduces distortion and blurring due to the short effective echo spacing and echo train length. The msEPI technique is sensitive to patient motion during the implementation of diffusion encoding gradients between shots, resulting in phase errors that can lead to severe artifacts (6,7) . To mitigate these motion effects, an additional navigator is typically added at the end of data acquisition in the msEPI sequence. Previous studies have shown that at 3 T, the image distortion is greatly improved by msEPI DWI as compared to ssEPI DWI (8-10). With the emergence of ultrahigh magnetic field strength MRI systems, the image quality of DWI has been further improved. Under ultrahigh magnetic field strength, the specific absorption rate (SAR) in the body increases (11), which may cause physical discomfort. Recently, the ability of 5-T MRI to provide neuroanatomical details with similar image quality to that of 7-T MRI has been demonstrated (12).. Under an intermediate field strength, a 5-T scanner can be used to image the entire body with good visualization and maintain a clinically acceptable SAR. This study thus compared the subjective image quality and quantitative indices of ssEPI DWI and msEPI DWI in a wide spectrum of brain lesions at 5 T and assessed the feasibility of msEPI in detecting specific diffusion abnormalities. We present this article in accordance with the STARD reporting checklist.
Brain diseases are one of the most common causes of death in humans(1). Early diagnosis of brain diseases has a substantial impact on prognosis and treatment. Diffusion-weighted imaging (DWI) plays an important role in the early detection of a variety of brain diseases, such as acute cerebral infarction, brain abscess, and intracranial tumors (2,3). In traditional methods, DWI uses a single-shot echo-planar imaging (ssEPI) sequence for data collection. In an ssEPI sequence, all lines of the k-space are acquired within one excitation, which has a high sampling efficacy and is insensitive to motion. However, ssEPI is susceptible to B0 inhomogeneity and eddy currents, which can cause severe distortions and susceptibility artifacts(4). (5). The msEPI technique collects k-space data in multiple excitations, which reduces distortion and blurring due to the short effective echo spacing and echo train length. The msEPI technique is sensitive to patient motion during the implementation of diffusion encoding gradients between shots, resulting in phase errors that can lead to severe artifacts (6,7) . To mitigate these motion effects, an additional navigator is typically added at the end of data acquisition in the msEPI sequence. Previous studies have shown that at 3 T, the image distortion is greatly improved by msEPI DWI as compared to ssEPI DWI (8-10). With the emergence of ultrahigh magnetic field strength MRI systems, the image quality of DWI has been further improved. Under ultrahigh magnetic field strength, the specific absorption rate (SAR) in the body increases (11), which may cause physical discomfort. Recently, the ability of 5-T MRI to provide neuroanatomical details with similar image quality to that of 7-T MRI has been demonstrated (12).. Under an intermediate field strength, a 5-T scanner can be used to image the entire body with good visualization and maintain a clinically acceptable SAR. This study thus compared the subjective image quality and quantitative indices of ssEPI DWI and msEPI DWI in a wide spectrum of brain lesions at 5 T and assessed the feasibility of msEPI in detecting specific diffusion abnormalities. We present this article in accordance with the STARD reporting checklist.
Methods:
Methods: This study retrospectively reviewed images of 107 consecutive patients with suspected brain diseases who underwent ssEPI- and msEPI-DWI at 5.0 T at the First Affiliated Hospital of University of Science and Technology of China from August 2023 to September 2023. Two radiologists independently graded image quality and measured the image distortion. Signal-to-noise ratio, contrast-to-noise ratio, and apparent diffusion coefficient (ADC) were calculated and compared between ssEPI- and msEPI-DWI. Image quality scores were compared using the Wilcoxon test and other continuous variables by the paired t test. The diagnostic accuracy of ADC values in distinguishing lesions from normal-appearing tissues was measured with the area under the curve (AUC).
Results:
Results: Image quality evaluation and distortion analysis revealed that msEPI-DWI significantly outperformed ssEPI-DWI. No significant difference was observed in signal-to-noise ratio, contrast-to-noise ratio, or ADC values between msEPI- and ssEPI-DWI. The ADC values of msEPI- and ssEPI-DWI showed strong correlations for both lesions (r=0.97) and contralateral normal tissues (r=0.91) (P<0.001). Compared to those of the contralateral white matter, ADC values of low-grade gliomas were significantly higher, while the ADC values of acute cerebral infarction lesions were significantly lower (P≤0.003). The AUCs for detecting low-grade gliomas were excellent for both ssEPI-DWI (AUC=0.934; 95% confidence interval 0.84–1.00) and msEPI-DWI (AUC=0.944; 95% confidence interval 0.86–1.00) .
Conclusions:
Conclusions: MsEPI DWI produced images with less distortions, improved contrast, and better lesion detectability than ssEPI DWI.
Modeling and Analysis Methods:
Diffusion MRI Modeling and Analysis 2
Motion Correction and Preprocessing
Novel Imaging Acquisition Methods:
Diffusion MRI 1
Imaging Methods Other
Keywords:
FUNCTIONAL MRI
HIGH FIELD MR
MRI
1|2Indicates the priority used for review
Abstract Information
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