非高斯扩散模型与T rho定量评估大鼠肝窦阻塞综合征

Non-Gaussian Diffusion Models and T rho Quantification in the Assessment of Hepatic Sinusoidal Obstruction Syndrome in Rats.

作者信息

Lyu Jian, Yang Guixiang, Mei Yingjie, Guo Li, Guo Yihao, Zhang Xinyuan, Xu Yikai, Feng Yanqiu

机构信息

School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, China.

Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China.

出版信息

J Magn Reson Imaging. 2020 Oct;52(4):1110-1121. doi: 10.1002/jmri.27156. Epub 2020 Apr 4.

DOI:10.1002/jmri.27156

PMID:32246796

Abstract

BACKGROUND

Non-Gaussian diffusion models and T rho quantification may reflect the changes in tissue heterogeneity in hepatic sinusoidal obstruction syndrome (SOS).

PURPOSE

To investigate the feasibility of diffusion kurtosis imaging (DKI), stretched exponential model (SEM), and T rho quantification in detecting and staging SOS in a monocrotaline (MCT)-induced rat model.

STUDY TYPE

Animal study.

POPULATION

Thirty male Sprague-Dawley rats gavaged with MCT to induce hepatic SOS and six male rats without any intervention.

FIELD STRENGTH/SEQUENCE: 3.0T, DWI with five b-values (0-2000 s/mm ) and T rho with five spin lock times (1-60 msec).

ASSESSMENT

MRI was performed 1 day before and 1, 3, 5, 7, and 10 days after MCT administration. The corrected apparent diffusion coefficient (D ), kurtosis coefficient (K ), distributed diffusion coefficient (DDC), and intravoxel water molecular diffusion heterogeneity (α) were calculated from the corresponding non-Gaussian diffusion model. The T rho value was calculated using a monoexponential model. Specimens obtained from the six timepoints were categorized into normal liver (n = 6), early-stage (n = 16), and late-stage (n = 14) SOS in accordance with the pathological score.

STATISTICAL TESTS

Parametric statistical methods and receiver operating characteristic (ROC) curves were employed to determine diagnostic accuracy.

RESULTS

The D , K , DDC, α, and T rho values were correlated with pathological score with r values of -0.821, 0.726, -0.828, -0.739, and 0.714 (all P < 0.001), respectively. DKI (combined D and K ) and SEM (combined DDC and α) were better than T rho for staging SOS. The areas under the ROC curve of DKI, SEM, and T rho for differentiating normal liver and early-stage SOS were 0.97, 1.00, and 0.79, whereas those of DKI, SEM, and T rho for differentiating early-stage and late-stage SOS were 1.00, 0.97, and 0.92, respectively.

DATA CONCLUSION

DKI, SEM, and T rho may be helpful in staging SOS.

LEVEL OF EVIDENCE

2 TECHNICAL EFFICACY STAGE: 2 J. Magn. Reson. Imaging 2020;52:1110-1121.

摘要

背景

非高斯扩散模型和T rho定量分析可能反映肝窦阻塞综合征（SOS）中组织异质性的变化。

目的

探讨扩散峰度成像（DKI）、拉伸指数模型（SEM）和T rho定量分析在检测和分期由野百合碱（MCT）诱导的大鼠SOS模型中的可行性。

研究类型

动物研究。

研究对象

30只雄性Sprague-Dawley大鼠经灌胃给予MCT以诱导肝SOS，6只雄性大鼠未进行任何干预。

场强/序列：3.0T，具有五个b值（0 - 2000 s/mm²）的扩散加权成像（DWI）以及具有五个自旋锁定时间（1 - 60毫秒）的T rho成像。

评估

在给予MCT前1天以及给药后1、3、5、7和10天进行磁共振成像（MRI）检查。根据相应的非高斯扩散模型计算校正后的表观扩散系数（D）、峰度系数（K）、分布扩散系数（DDC）和体素内水分子扩散异质性（α）。使用单指数模型计算T rho值。根据病理评分，将从六个时间点获取的标本分为正常肝脏（n = 6）、早期（n = 16）和晚期（n = 14）SOS。

统计检验

采用参数统计方法和受试者操作特征（ROC）曲线来确定诊断准确性。

结果

D、K、DDC、α和T rho值与病理评分相关，r值分别为 - 0.821、0.726、 - 0.828、 - 0.739和0.714（均P < 0.001）。对于SOS分期，DKI（结合D和K）和SEM（结合DDC和α）比T rho表现更好。区分正常肝脏和早期SOS时，DKI、SEM和T rho的ROC曲线下面积分别为0.97、1.00和0.79；区分早期和晚期SOS时，DKI、SEM和T rho的ROC曲线下面积分别为1.00、0.97和0.92。