Division of Radiology, Geneva University Hospitals, University of Geneva, Faculty of Medicine, Geneva, Switzerland.
Division of Nephrology, Geneva University Hospitals, University of Geneva, Faculty of Medicine, Geneva, Switzerland.
J Magn Reson Imaging. 2017 Dec;46(6):1631-1640. doi: 10.1002/jmri.25687. Epub 2017 Mar 10.
To compare readout-segmented echo-planar imaging (EPI) (RESOLVE) to single-shot EPI (ss-EPI) diffusion-weighted imaging (DWI) for the assessment of renal interstitial fibrosis.
A phantom, eight healthy volunteers (under 30 years to avoid age-fibrosis related) and 27 chronic kidney disease (CKD) patients (scheduled for kidney biopsy) were scanned (at 3T) with ss-EPI and 5-shot RESOLVE DWI (resolution: 2 × 2 × 5 mm , 10 b-values). The cortico-medullary difference for each DW parameter from a monoexponential fit (ΔADC) or, segmented biexponential fit (ΔD, ΔD*, ΔF ) were compared between both sequences. A fibrosis threshold of 40% was defined to separate all 35 subjects into low and high fibrosis groups. The linear relationship between DW parameters and percentage fibrosis (up to 80%) from Masson trichrome was assessed with the Pearson product-moment correlation coefficient. Fisher Z-transform was used for R correlation comparison.
A coefficient of variation between ADCs of 3% was measured between both sequences in the phantom. In healthy volunteers, no significant difference was measured for all DW parameters. Both sequences separated low to high level of fibrosis with a significant decrease of ΔADC (RESOLVE P = 3.1 × 10 , ss-EPI P = 0.003) and ΔD (RESOLVE P = 8.2 × 10 , ss-EPI P = 0.02) in the high level of fibrosis. However, RESOLVE ΔADC had a stronger negative correlation (P = 0.04 for R comparison) with fibrosis than ss-EPI ΔADC (RESOLVE R = 0.65, P = 5.9 × 10 , ss-EPI R = 0.29, P = 8.9 × 10 ). ΔD (RESOLVE) was correlated (moderately) with fibrosis (R = 0.29, P = 9.2 × 10 ); however, ΔD* and ΔF did not show, in our population, a significant correlation with interstitial fibrosis (0.01 < R < 0.08).
ΔADC derived from both sequences correlated with fibrosis. ΔADC from RESOLVE showed better correlation with fibrosis than ΔADC from ss-EPI and therefore has potential to monitor CKD.
1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:1631-1640.
比较读出分段回波平面成像(EPI)(RESOLVE)与单次激发 EPI(ss-EPI)扩散加权成像(DWI)在评估肾间质纤维化中的应用。
在 3T 扫描仪上对一个体模、8 名健康志愿者(年龄小于 30 岁,以避免与年龄相关的纤维化)和 27 名慢性肾脏病(CKD)患者(计划进行肾活检)进行了 ss-EPI 和 5 次激发 RESOLVE DWI 扫描(分辨率:2×2×5mm,10 个 b 值)。比较两种序列中每个单指数拟合(ΔADC)或分段双指数拟合(ΔD、ΔD*、ΔF)的皮质-髓质差异。将 40%的纤维化阈值定义为将所有 35 名受试者分为低纤维化组和高纤维化组。使用 Pearson 积矩相关系数评估 DWI 参数与 Masson 三色纤维化百分比(高达 80%)之间的线性关系。使用 Fisher Z 变换进行 R 相关比较。
在体模中,两种序列之间 ADC 的变异系数为 3%。在健康志愿者中,两种序列之间所有 DWI 参数均无显著差异。两种序列均能以显著降低的 ΔADC(RESOLVE P=3.1×10-8,ss-EPI P=0.003)和 ΔD(RESOLVE P=8.2×10-8,ss-EPI P=0.02)来区分低纤维化和高纤维化水平。然而,与 ss-EPI ΔADC 相比,RESOLVE ΔADC 与纤维化的负相关性更强(R 比较的 P 值=0.04)(RESOLVE R=0.65,P=5.9×10-8,ss-EPI R=0.29,P=8.9×10-8)。ΔD(RESOLVE)与纤维化呈中度相关(R=0.29,P=9.2×10-8);然而,在我们的人群中,ΔD*和 ΔF 与间质纤维化无显著相关性(0.01<R<0.08)。
两种序列的 ΔADC 与纤维化相关。与 ss-EPI 相比,RESOLVE 衍生的 ΔADC 与纤维化的相关性更好,因此具有监测 CKD 的潜力。
1 技术功效:第 2 阶段 J. Magn. Reson. Imaging 2017;46:1631-1640.