Department of Neuroradiology, Foundation Adolphe de Rothschild Hospital, Paris, France.
Department of Clinical Research, Foundation Adolphe de Rothschild Hospital, Paris, France.
PLoS One. 2021 Apr 22;16(4):e0247813. doi: 10.1371/journal.pone.0247813. eCollection 2021.
To compare 3D-Fast Gray Matter Acquisition with Phase Sensitive Inversion Recovery (3D-FGAPSIR) with conventional 3D-Short-Tau Inversion Recovery (3D-STIR) and sagittal T1-and T2-weighted MRI dataset at 3 Tesla when detecting MS spinal cord lesions.
This prospective single-center study was approved by an institutional review board and enrolled participants from December 2016 to August 2018. Two neuroradiologists blinded to all data, individually analyzed the 3D-FGAPSIR and the conventional datasets separately and in random order. Discrepancies were resolved by consensus by a third neuroradiologist. The primary judgment criterion was the number of MS spinal cord lesions. Secondary judgment criteria included lesion enhancement, lesion delineation, reader-reported confidence and lesion-to-cord-contrast-ratio. A Wilcoxon's test was used to compare the two datasets.
51 participants were included. 3D-FGAPSIR detected significantly more lesions than the conventional dataset (344 versus 171 respectively, p<0.001). Two participants had no detected lesion on the conventional dataset, whereas 3D-FGAPSIR detected at least one lesion. 3/51 participants had a single enhancing lesion detected by both datasets. Lesion delineation and reader-reported confidence were significantly higher with 3D-FGAPSIR: 4.5 (IQR 1) versus 2 (IQR 0.5), p<0.0001 and 4.5 (IQR 1) versus 2.5 (IQR 0.5), p<0.0001. Lesion-to-cord-contrast-ratio was significantly higher using 3D-FGAPSIR as opposed to 3D-STIR and T2: 1.4 (IQR 0,3) versus 0.4 (IQR 0,1) and 0.3 (IQR 0,1)(p = 0.04). Correlations with clinical data and inter- and intra-observer agreements were higher with 3D-FGAPSIR.
3D-FGAPSIR improved overall MS spinal cord lesion detection as compared to conventional set and detected all enhancing lesions.
在 3T 磁共振成像中,比较 3D-Fast Gray Matter Acquisition with Phase Sensitive Inversion Recovery(3D-FGAPSIR)与传统的 3D-Short-Tau Inversion Recovery(3D-STIR)和矢状位 T1 和 T2 加权 MRI 数据集在检测 MS 脊髓病变中的应用。
这项前瞻性单中心研究得到了机构审查委员会的批准,并于 2016 年 12 月至 2018 年 8 月期间招募了参与者。两位对所有数据均不知情的神经放射科医生分别独立地、随机地分析 3D-FGAPSIR 和传统数据集。由第三位神经放射科医生通过共识解决差异。主要判断标准是 MS 脊髓病变的数量。次要判断标准包括病变强化、病变描绘、读者报告的信心和病变与脊髓对比率。采用 Wilcoxon 检验比较两种数据集。
共纳入 51 名参与者。3D-FGAPSIR 检测到的病变明显多于传统数据集(分别为 344 个和 171 个,p<0.001)。在传统数据集上,有 2 名参与者未检测到病变,而 3D-FGAPSIR 则至少检测到 1 个病变。在 3/51 名参与者中,两种数据集均检测到单个强化病变。3D-FGAPSIR 病变描绘和读者报告的信心显著更高:4.5(IQR 1)与 2(IQR 0.5),p<0.0001 和 4.5(IQR 1)与 2.5(IQR 0.5),p<0.0001。与 3D-STIR 和 T2 相比,3D-FGAPSIR 的病变与脊髓对比率显著更高:1.4(IQR 0,3)与 0.4(IQR 0,1)和 0.3(IQR 0,1)(p = 0.04)。与临床数据的相关性和观察者间及观察者内的一致性均较高。
与传统数据集相比,3D-FGAPSIR 提高了 MS 脊髓病变的整体检测率,并可检测到所有强化病变。