Department of Radiology and Imaging, Hospital for Special Surgery, 535 East 70th Street, New York, NY, 10021, USA.
GE Healthcare, Waukesha, WI, USA.
Eur Radiol. 2022 Sep;32(9):6167-6177. doi: 10.1007/s00330-022-08708-4. Epub 2022 Mar 24.
To compare interobserver agreement and image quality of 3D T2-weighted fast spin echo (T2w-FSE) L-spine MRI images processed with a deep learning reconstruction (DLRecon) against standard-of-care (SOC) reconstruction, as well as against 2D T2w-FSE images. The hypothesis was that DLRecon 3D T2w-FSE would afford improved image quality and similar interobserver agreement compared to both SOC 3D and 2D T2w-FSE.
Under IRB approval, patients who underwent routine 3-T lumbar spine (L-spine) MRI from August 17 to September 17, 2020, with both isotropic 3D and 2D T2w-FSE sequences, were retrospectively included. A DLRecon algorithm, with denoising and sharpening properties was applied to SOC 3D k-space to generate 3D DLRecon images. Four musculoskeletal radiologists blinded to reconstruction status evaluated randomized images for motion artifact, image quality, central/foraminal stenosis, disc degeneration, annular fissure, disc herniation, and presence of facet joint cysts. Inter-rater agreement for each graded variable was evaluated using Conger's kappa (κ).
Thirty-five patients (mean age 58 ± 19, 26 female) were evaluated. 3D DLRecon demonstrated statistically significant higher median image quality score (2.0/2) when compared to SOC 3D (1.0/2, p < 0.001), 2D axial (1.0/2, p < 0.001), and 2D sagittal sequences (1.0/2, p value < 0.001). κ ranges (and 95% CI) for foraminal stenosis were 0.55-0.76 (0.32-0.86) for 3D DLRecon, 0.56-0.73 (0.35-0.84) for SOC 3D, and 0.58-0.71 (0.33-0.84) for 2D. Mean κ (and 95% CI) for central stenosis at L4-5 were 0.98 (0.96-0.99), 0.97 (0.95-0.99), and 0.98 (0.96-0.99) for 3D DLRecon, 3D SOC and 2D, respectively.
DLRecon 3D T2w-FSE L-spine MRI demonstrated higher image quality and similar interobserver agreement for graded variables of interest when compared to 3D SOC and 2D imaging.
• 3D DLRecon T2w-FSE isotropic lumbar spine MRI provides improved image quality when compared to 2D MRI, with similar interobserver agreement for clinical evaluation of pathology. • 3D DLRecon images demonstrated better image quality score (2.0/2) when compared to standard-of-care (SOC) 3D (1.0/2), p value < 0.001; 2D axial (1.0/2), p value < 0.001; and 2D sagittal sequences (1.0/2), p value < 0.001. • Interobserver agreement for major variables of interest was similar among all sequences and reconstruction types. For foraminal stenosis, κ ranged from 0.55 to 0.76 (95% CI 0.32-0.86) for 3D DLRecon, 0.56-0.73 (95% CI 0.35-0.84) for standard-of-care (SOC) 3D, and 0.58-0.71 (95% CI 0.33-0.84) for 2D.
比较深度学习重建(DLRecon)与标准护理(SOC)重建以及二维(2D)T2 加权快速自旋回波(T2w-FSE)相比,3D T2w-FSE L 脊柱 MRI 图像的观察者间一致性和图像质量。假设是 DLRecon 3D T2w-FSE 与 SOC 3D 和 2D T2w-FSE 相比,将提供更好的图像质量和相似的观察者间一致性。
在机构审查委员会(IRB)批准下,回顾性纳入 2020 年 8 月 17 日至 9 月 17 日期间接受常规 3T 腰椎(L 脊柱)MRI 检查的患者,这些患者具有各向同性 3D 和 2D T2w-FSE 序列。应用具有去噪和锐化特性的 DLRecon 算法对 SOC 3D k 空间进行处理,生成 3D DLRecon 图像。四名肌肉骨骼放射科医生在不知道重建状态的情况下,对随机图像进行了运动伪影、图像质量、中央/椎间孔狭窄、椎间盘退变、环形裂隙、椎间盘突出和关节突关节囊肿的评估。使用 Conger's kappa(κ)评估每个分级变量的组内一致性。
共评估了 35 名患者(平均年龄 58±19 岁,26 名女性)。与 SOC 3D(1.0/2,p<0.001)、2D 轴向(1.0/2,p<0.001)和 2D 矢状序列(1.0/2,p 值<0.001)相比,3D DLRecon 显示出统计学上更高的中位数图像质量评分(2.0/2)。3D DLRecon 椎间孔狭窄的κ 范围(95%CI)为 0.55-0.76(0.32-0.86),SOC 3D 为 0.56-0.73(0.35-0.84),2D 为 0.58-0.71(0.33-0.84)。L4-5 中央狭窄的平均κ(95%CI)分别为 0.98(0.96-0.99)、0.97(0.95-0.99)和 0.98(0.96-0.99),分别为 3D DLRecon、3D SOC 和 2D。
与 3D SOC 和 2D 成像相比,DLRecon 3D T2w-FSE L 脊柱 MRI 显示出更高的图像质量和相似的观察者间一致性,用于对病变的临床评估。
3D DLRecon T2w-FSE 各向同性腰椎 MRI 与 2D MRI 相比提供了更高的图像质量,并且在对病理学的临床评估中具有相似的观察者间一致性。
与标准护理(SOC)3D(1.0/2)相比,3D DLRecon 图像质量评分(2.0/2)更好,p 值<0.001;与 2D 轴向(1.0/2)相比,p 值<0.001;与 2D 矢状序列(1.0/2)相比,p 值<0.001。
所有序列和重建类型的主要观察变量的观察者间一致性相似。对于椎间孔狭窄,3D DLRecon 的κ 值范围为 0.55-0.76(95%CI 0.32-0.86),SOC 3D 为 0.56-0.73(95%CI 0.35-0.84),2D 为 0.58-0.71(95%CI 0.33-0.84)。