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单指数模型双 b 值扩散加权成像与双指数或拉伸指数模型在婴儿肝 MRI 诊断胆道闭锁中的临床应用比较。

Clinical utility of mono-exponential model diffusion weighted imaging using two b-values compared to the bi- or stretched exponential model for the diagnosis of biliary atresia in infant liver MRI.

机构信息

Department of Radiology, Severance Hospital, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea.

Severance Pediatric Liver Disease Research Group, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.

出版信息

PLoS One. 2019 Dec 18;14(12):e0226627. doi: 10.1371/journal.pone.0226627. eCollection 2019.

Abstract

PURPOSE

To investigate the clinical utility of mono-exponential model diffusion weighted imaging (DWI) using two b-values compared to the bi- or stretched exponential model to differentiate biliary atresia (BA) from non-BA in pediatric liver magnetic resonance imaging (MRI).

METHODS

Patients who underwent liver MRI with DWI for suspected BA from November 2017 to September 2018 were retrospectively included and divided into BA and non-BA groups. Laboratory results including γ-glutamyl transferase (γGT) were compared between the two groups using the Mann-Whitney U test and Fisher's exact test. The hepatic apparent diffusion coefficient (ADC) 10 using ten b-values and ADC 2 using two b-values were obtained from the mono-exponential model. The slow diffusion coefficient (D), fast diffusion coefficient (D*), and perfusion fraction (f) were obtained from the bi-exponential model. The distributed diffusion coefficient (DDC) and heterogeneity index (α) were measured from the stretched exponential model. Parameters were compared between the two groups using a linear mixed model and diagnostic performance was assessed using the area under the curve (AUC) analysis.

RESULTS

For 12 patients in the BA and five patients in the non-BA group, the ADC 10 (median 0.985 ×10-3 mm2/s vs. 1.332 ×10-3 mm2/s, p = 0.008), ADC 2 (median 0.987 ×10-3 mm2/s vs. 1.335 ×10-3 mm2/s, p = 0.017), D* (median 33.2 ×10-3 mm2/s vs. 55.3 ×10-3 mm2/s, p = 0.021), f (median 13.4%, vs. 22.1%, p = 0.009), and DDC (median 0.889 ×10-3 mm2/s vs. 1.323 ×10-3 mm2/s, p = 0.009) values were lower and the γGT (median 368.0 IU/L vs. 93.5 IU/L, p = 0.02) and α (median 0.699 vs. 0.556, p = 0.023) values were higher in the BA group. The AUC values for γGT (AUC 0.867 95% confidence interval [CI] 0.616-0.984), ADC 10 (AUC 0.963, 95% CI 0.834-0.998), ADC 2 (AUC 0.925, 95% CI 0.781-0.987), f (AUC 0.850, 95% CI 0.686-0.949), and DDC (AUC 0.925, 95% CI 0.781-0.987) were not significantly different, except for the D* and α values.

CONCLUSION

Patients with BA had lower ADC 10, ADC 2, D*, f, and DDC values and higher γGT and α values than those in the non-BA group. The diagnostic performance of ADC 2 using only two b-values showed excellent diagnostic performance and was not significantly different from that of γGT, ADC 10, f, and DDC for diagnosing BA.

摘要

目的

研究单指数模型扩散加权成像(DWI)使用两个 b 值与双指数或拉伸指数模型相比,在儿科肝脏磁共振成像(MRI)中鉴别胆道闭锁(BA)与非 BA 的临床实用性。

方法

回顾性纳入 2017 年 11 月至 2018 年 9 月因疑似 BA 而行肝脏 MRI 加 DWI 的患者,并将其分为 BA 和非 BA 两组。使用 Mann-Whitney U 检验和 Fisher 确切概率法比较两组间的实验室结果,包括γ-谷氨酰转移酶(γGT)。从单指数模型获得 10 个 b 值的肝表观扩散系数(ADC)10 和 2 个 b 值的 ADC 2。从双指数模型获得慢扩散系数(D)、快扩散系数(D*)和灌注分数(f)。从拉伸指数模型测量分布扩散系数(DDC)和异质性指数(α)。使用线性混合模型比较两组间的参数,并使用曲线下面积(AUC)分析评估诊断性能。

结果

BA 组 12 例和非 BA 组 5 例患者中,ADC 10(中位数 0.985×10-3mm2/s 与 1.332×10-3mm2/s,p=0.008)、ADC 2(中位数 0.987×10-3mm2/s 与 1.335×10-3mm2/s,p=0.017)、D*(中位数 33.2×10-3mm2/s 与 55.3×10-3mm2/s,p=0.021)、f(中位数 13.4%与 22.1%,p=0.009)和 DDC(中位数 0.889×10-3mm2/s 与 1.323×10-3mm2/s,p=0.009)值较低,γGT(中位数 368.0IU/L 与 93.5IU/L,p=0.02)和α(中位数 0.699 与 0.556,p=0.023)值较高。γGT(AUC 0.867,95%CI 0.616-0.984)、ADC 10(AUC 0.963,95%CI 0.834-0.998)、ADC 2(AUC 0.925,95%CI 0.781-0.987)、f(AUC 0.850,95%CI 0.686-0.949)和 DDC(AUC 0.925,95%CI 0.781-0.987)的 AUC 值无显著差异,除 D*和α值外。

结论

BA 患者的 ADC 10、ADC 2、D*、f 和 DDC 值较低,γGT 和α值较高,与非 BA 组相比。仅使用两个 b 值的 ADC 2 的诊断性能表现出色,与γGT、ADC 10、f 和 DDC 诊断 BA 的诊断性能无显著差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a6/6920030/414c98af039a/pone.0226627.g001.jpg

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