背景:与传统的全视场(fFOV)DWI相比,MRI中降低的视场(rFOV)扩散加权成像(DWI)显示出增强图像质量的潜力。评估rFOVDWI对图像质量的影响对于临床采用很重要。
目的:评估rFOVDWI在改善图像质量方面的功效,专注于减少伪影,信噪比(SNR)改善,和病变可检测性。
方法:Meta分析。
方法:在PubMed,Embase,Cochrane图书馆,WebofScience将于2024年1月结束。分析了13项研究,765名参与者使用rFOV关注DWI质量。
■SS-EPI,Rtr-SS-EPI,2D-SS-EPI在3.0T
结果:两名研究者进行了数据提取。QUADAS-2评估偏倚。比较了rFOV和fFOVDWI的图像质量评估。
方法:使用标准化平均差(SMD)来评估和标准化MRI图像质量。使用I2统计量评估异质性,使用Egger检验评估发表偏倚。
结果:QUADAS-2分析显示,大多数研究显示偏倚风险低,对适用性的担忧最小。统计分析表明,与fFOVDWI相比,rFOVDWI产生了更高的主观图像质量评分(SMD=0.535,95%CI:0.339,0.731,I2=45.7%),并且在减少伪影方面(SMD=0.44,95%CI:0.672,I2=42.3%)比fFOVDWI更有效。然而,rFOVDWI显示SNR下降(SMD=-0.670,95%CI:-1.187~-0.152,I2=87.9%).此外,rFOVDWI显示病变可见性(SMD=0.432,95%CI:-1.187,-0.152,I2=53.1%)和解剖细节(SMD=0.598,95%CI:0.121,1.075,I2=90.8%)增强。
结论:rFOVDWI通过减少伪影和改善病灶可见性并权衡SNR来提高MRI图像质量。
方法:3技术效果:第一阶段。
BACKGROUND: Reduced field of view (rFOV) diffusion-weighted imaging (DWI) in MRI shows potential for enhanced image quality compared with traditional full field of view (fFOV) DWI. Evaluating rFOV DWI\'s impact on image quality is important for clinical adoption.
OBJECTIVE: To assess the efficacy of rFOV DWI in improving image quality, focusing on artifact reduction, signal-to-noise ratio (SNR) improvement, and lesion detectability.
METHODS: Meta-analysis.
METHODS: Systematic literature search was conducted in PubMed, Embase, the Cochrane Library, and Web of Science ending in January 2024. Thirteen studies with 765 participants focusing on DWI quality using rFOV was analyzed.
UNASSIGNED: SS-EPI, Rtr-SS-EPI, 2D-SS-EPI at 3.0 T.
RESULTS: Two investigators performed the data extraction. QUADAS-2 assessed bias. The image quality assessment of rFOV and fFOV DWI were compared.
METHODS: Standardized mean difference (SMD) was utilized to evaluate and standardize MRI image quality. Heterogeneity was assessed using the I2 statistic and publication bias was evaluated with Egger\'s test.
RESULTS: The QUADAS-2 analysis revealed that most studies exhibited a low risk of bias and minimal concerns regarding applicability. Statistical analysis indicated that rFOV DWI yielded higher subjective image quality scores (SMD = 0.535, 95% CI: 0.339, 0.731, I2 = 45.7%) compared with fFOV DWI and was more effective in reducing artifacts (SMD = 0.44, 95% CI: 0.209, 0.672, I2 = 42.3%) than fFOV DWI. However, a decrease in SNR was noted with rFOV DWI (SMD = -0.670, 95% CI: -1.187 to -0.152, I2 = 87.9%). Additionally, rFOV DWI demonstrated enhancements in lesion visibility (SMD = 0.432, 95% CI: -1.187, -0.152, I2 = 53.1%) and anatomical details (SMD = 0.598, 95% CI: 0.121, 1.075, I2 = 90.8%).
CONCLUSIONS: rFOV DWI enhances MRI image quality by reducing artifacts and improving lesion visibility with a SNR trade-off.
METHODS: 3 TECHNICAL EFFICACY: Stage 1.