University of Maryland School of Medicine, Baltimore, MD, USA.
Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Acta Radiol. 2023 May;64(5):1880-1885. doi: 10.1177/02841851221139597. Epub 2022 Nov 24.
A recent report suggests that semi-quantitative two-dimensional Goutallier grade (2D-GG) correlates poorly with quantitative three-dimensional Dixon fat fraction (3D-Dixon-FF) on magnetic resonance imaging (MRI).
To determine whether the finding of poor correlation of supraspinatus 3D-Dixon-FF with 2D-GG is reproducible, and to determine the strength of the correlation of 3D-Dixon-FF with quantitative 2D Dixon fat fraction (2D-Dixon-FF).
Ten adults aged ≥60 years were recruited prospectively received shoulder MRI. 2D-Dixon-FF and 3D-Dixon-FF were measured on 6-point Dixon fat fraction maps. 2D-GG was rated on T1-weighted images.
The mean age of participants was 70.7 ± 3.7 years. The mean 3D-Dixon-FF was 8.3% ± 5.7%; the mean 2D-Dixon-FF was 7.3% ± 4.4%; and the mean 2D-GG was 0.9 ± 0.7. There was a strong correlation for 3D-Dixon-FF with 2D-Dixon-FF (rho = 0.90; < 0.001) and with 2D-GG (rho = 0.73; = 0.017). Excellent inter-observer reliability was found for Dixon fat fraction (intraclass correlation coefficient = 0.946), which was good for Goutallier grade (weighted kappa = 0.634).
Supraspinatus 3D-Dixon-FF had a strong correlation with 2D-Dixon-FF and 2D-GG in our study population.
最近的一份报告表明,磁共振成像(MRI)上的半定量二维戈特利尔分级(2D-GG)与定量三维狄克逊脂肪分数(3D-Dixon-FF)相关性较差。
确定冈上肌 3D-Dixon-FF 与 2D-GG 相关性差是否具有可重复性,并确定 3D-Dixon-FF 与定量 2D 狄克逊脂肪分数(2D-Dixon-FF)的相关性强度。
前瞻性招募了 10 名年龄≥60 岁的成年人进行肩部 MRI 检查。在 6 点狄克逊脂肪分数图上测量 2D-Dixon-FF 和 3D-Dixon-FF。在 T1 加权图像上评定 2D-GG。
参与者的平均年龄为 70.7±3.7 岁。平均 3D-Dixon-FF 为 8.3%±5.7%;平均 2D-Dixon-FF 为 7.3%±4.4%;平均 2D-GG 为 0.9±0.7。3D-Dixon-FF 与 2D-Dixon-FF(rho=0.90;<0.001)和 2D-GG(rho=0.73;=0.017)具有很强的相关性。狄克逊脂肪分数的观察者间可靠性极好(组内相关系数=0.946),戈特利尔分级的可靠性良好(加权kappa=0.634)。
在我们的研究人群中,冈上肌 3D-Dixon-FF 与 2D-Dixon-FF 和 2D-GG 具有很强的相关性。