University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Abdom Radiol (NY). 2021 Oct;46(10):4567-4575. doi: 10.1007/s00261-021-03092-x. Epub 2021 Apr 24.
Compressed SENSE (C-SENSE) allows more rapid MRI acquisition through incoherent, pseudorandom k-space undersampling. The purpose of our study was to compare conventional sensitivity encoded imaging (SENSE) quantitative MR images to those obtained using C-SENSE for measurement of liver proton density fat fraction (PDFF), T2*, and stiffness.
Clinical liver MRI examinations that included SENSE and C-SENSE quantitative MRI sequences were retrospectively identified. Patient age, gender, liver PDFF (%), T2* (ms), and stiffness (kPa) were recorded. Spearman's rank-order correlation (r) was used to evaluate association between methods, and Bland-Altman analysis was used to determine the mean bias and 95% limits of agreement.
Clinical liver MRI examinations that included SENSE and C-SENSE quantitative MRI sequences were retrospectively identified. Patient age, gender, liver PDFF (%), T2* (ms), and stiffness (kPa) were recorded. Spearman's rank-order correlation (r) was used to evaluate association between methods, and Bland-Altman analysis was used to determine the mean bias and 95% limits of agreement. Thirty-six examinations met the inclusion criteria. Mean patient age was 15.7 ± 7.7 years; twelve exams (33%) were in female patients. Liver PDFF showed very strong positive correlation (r = 0.98) between sequences, with a mean bias of 0.28% (95% LOA: -0.85, 1.41%). T2* showed moderate positive correlation (r = 0.53), with a mean bias of - 3.0 ms (95% LOA: - 12.0, 6.0 ms). Stiffness showed very strong positive correlation (r = 0.97), with a mean bias of 0.13 kPa (95% LOA: - 0.37, 0.63 kPa) that increased with increasing liver stiffness.
There were strong positive correlations between SENSE and C-SENSE MRI measurements of liver PDFF and stiffness, with no to minimal bias. However, there was moderate correlation and greater negative mean bias between T2* measurements. Our results demonstrate the potential of compressed sensing to reliably measure PDFF and stiffness in the clinic.
压缩感应（C-SENSE）通过非相干、伪随机的欠采 k 空间实现更快的 MRI 采集。本研究的目的是比较传统的敏感编码成像（SENSE）定量 MRI 图像与使用 C-SENSE 获得的图像，以测量肝脏质子密度脂肪分数（PDFF）、T2*和硬度。
回顾性确定了包括 SENSE 和 C-SENSE 定量 MRI 序列的临床肝脏 MRI 检查。记录患者年龄、性别、肝脏 PDFF（%）、T2*（ms）和硬度（kPa）。采用 Spearman 秩相关（r）评估方法间的相关性，采用 Bland-Altman 分析确定平均偏差和 95%一致性界限。
回顾性确定了包括 SENSE 和 C-SENSE 定量 MRI 序列的临床肝脏 MRI 检查。记录患者年龄、性别、肝脏 PDFF（%）、T2*（ms）和硬度（kPa）。采用 Spearman 秩相关（r）评估方法间的相关性，采用 Bland-Altman 分析确定平均偏差和 95%一致性界限。36 例检查符合纳入标准。患者平均年龄为 15.7±7.7 岁；12 例（33%）为女性患者。肝脏 PDFF 在两种序列之间显示出非常强的正相关性（r=0.98），平均偏差为 0.28%（95% LOA：-0.85，1.41%）。T2*显示出中度正相关（r=0.53），平均偏差为-3.0ms（95% LOA：-12.0，6.0ms）。硬度显示出非常强的正相关性（r=0.97），平均偏差为 0.13kPa（95% LOA：-0.37，0.63kPa），随着肝硬度的增加而增加。
SENSE 和 C-SENSE MRI 测量肝脏 PDFF 和硬度之间存在很强的正相关性，偏差很小或没有。然而，T2*测量之间存在中度相关性和更大的负平均偏差。我们的结果表明，压缩感知具有可靠测量临床 PDFF 和硬度的潜力。
