Department of Radiology, Rennes University Hospital, 2 Rue H. Le Guilloux, 35033, Rennes, France.
NUMECAN, INSERM U1099, Rennes University Hospital, 2 Rue H. Le Guilloux, 35033, Rennes, France.
Eur Radiol. 2023 Dec;33(12):8999-9009. doi: 10.1007/s00330-023-09798-4. Epub 2023 Jul 4.
To validate the proton density fat fraction (PDFF) obtained by the MRQuantif software from 2D chemical shift encoded MR (CSE-MR) data in comparison with the histological steatosis data.
This study, pooling data from 3 prospective studies spread over time between January 2007 and July 2020, analyzed 445 patients who underwent 2D CSE-MR and liver biopsy. MR derived liver iron concentration (MR-LIC) and PDFF was calculated using the MRQuantif software. The histological standard steatosis score (SS) served as reference. In order to get a value more comparable to PDFF, histomorphometry fat fraction (HFF) were centrally determined for 281 patients. Spearman correlation and the Bland and Altman method were used for comparison.
Strong correlations were found between PDFF and SS (r = 0.84, p < 0.001) or HFF (r = 0.87, p < 0.001). Spearman's coefficients increased to 0.88 (n = 324) and 0.94 (n = 202) when selecting only the patients without liver iron overload. The Bland and Altman analysis between PDFF and HFF found a mean bias of 5.4% ± 5.7 [95% CI 4.7, 6.1]. The mean bias was 4.7% ± 3.7 [95% CI 4.2, 5.3] and 7.1% ± 8.8 [95% CI 5.2, 9.0] for the patients without and with liver iron overload, respectively.
The PDFF obtained by MRQuantif from a 2D CSE-MR sequence is highly correlated with the steatosis score and very close to the fat fraction estimated by histomorphometry. Liver iron overload reduced the performance of steatosis quantification and joint quantification is recommended. This device-independent method can be particularly useful for multicenter studies.
The quantification of liver steatosis using a vendor-neutral 2D chemical-shift MR sequence, processed by MRQuantif, is well correlated to steatosis score and histomorphometric fat fraction obtained from biopsy, whatever the magnetic field and the MR device used.
• The PDFF measured by MRQuantif from 2D CSE-MR sequence data is highly correlated to hepatic steatosis. • Steatosis quantification performance is reduced in case of significant hepatic iron overload. • This vendor-neutral method may allow consistent estimation of PDFF in multicenter studies.
通过与组织学脂肪变性数据比较，验证 2 维化学位移编码磁共振（CSE-MR）数据的 MRQuantif 软件获得的质子密度脂肪分数（PDFF）。
本研究汇集了 2007 年 1 月至 2020 年 7 月期间 3 项前瞻性研究的数据，分析了 445 例接受 2 维 CSE-MR 和肝活检的患者。使用 MRQuantif 软件计算肝铁浓度（MR-LIC）和 PDFF。组织学标准脂肪变性评分（SS）作为参考。为了获得更接近 PDFF 的值，对 281 例患者进行了中央形态计量脂肪分数（HFF）的测定。使用 Spearman 相关和 Bland 和 Altman 方法进行比较。
PDFF 与 SS（r=0.84，p<0.001）或 HFF（r=0.87，p<0.001）之间存在较强的相关性。当仅选择无肝铁过载的患者时，Spearman 系数增加至 0.88（n=324）和 0.94（n=202）。PDFF 和 HFF 之间的 Bland 和 Altman 分析发现平均偏差为 5.4%±5.7 [95%CI 4.7, 6.1]。无肝铁过载患者的平均偏差为 4.7%±3.7 [95%CI 4.2, 5.3]，有肝铁过载患者的平均偏差为 7.1%±8.8 [95%CI 5.2, 9.0]。
MRQuantif 从 2 维 CSE-MR 序列获得的 PDFF 与脂肪变性评分高度相关，与组织学形态计量脂肪分数非常接近。肝铁过载降低了脂肪变性定量的性能，建议进行联合定量。这种与设备无关的方法对于多中心研究特别有用。
使用供应商中立的 2 维化学位移 MR 序列并由 MRQuantif 处理，从 2 维 CSE-MR 序列数据中测量的 PDFF 与肝脂肪变性高度相关。
• 从 2 维 CSE-MR 序列数据的 MRQuantif 测量的 PDFF 与肝脂肪变性高度相关。• 在存在显著肝铁过载的情况下，脂肪变性定量性能降低。• 这种与供应商无关的方法可能允许在多中心研究中一致估计 PDFF。
