Suppr超能文献

拉伸指数扩散加权成像模型在非酒精性脂肪性肝病定量诊断中的应用:兔模型研究

[Application of stretched exponential diffusion-weighted imaging model in quantitative diagnosis of nonalcoholic fatty liver disease: in a rabbit model].

作者信息

Li C, Wang Y N, Wang M, Peng Y, Wu J T, Luo X F

机构信息

Xiangya School of Medicine, Central South University, Changsha 410013, China.

Department of Radiology, Northern Jiangsu People's Hospital, Clinical Medical School of Yangzhou University, Yangzhou 225001, China.

出版信息

Zhonghua Yi Xue Za Zhi. 2019 Feb 19;99(7):500-504. doi: 10.3760/cma.j.issn.0376-2491.2019.07.005.

Abstract

To evaluate the feasibility of diffusion parameters obtained from mono-exponential and stretched exponential diffusion-weighted imaging models in staging of nonalcoholic fatty liver disease and compare the diagnosis ability of nonalcoholic steatohepatitis. Thirty-two 12 -week-old male New Zealand rabbits, about 2.5 kg of each, were randomly divided into five groups. To obtained different severity groups of NAFLD, a variety of diet (from standard to high-fat, high cholesterol chow) were feed for different periods before liver diffusion imaging was performed by using 3.0 T MR imaging system (Discovery 750W GE health care), the value of ADC, stretched exponential model parameters distributed diffusion coefficient (DDC) and α (water molecular diffusion heterogeneity index) were measured. Liver specimens were obtained for pathological grading (NAFLD activity scoring system). The diffusion parameters of each group of NAFLD were compared by , - test was utilized to pairwise comparison between different grades of NAFLD. rank correlation analysis was used to evaluate the correlation between ADC, DDC, α and different severity groups of NAFLD. ROC curve was compared to evaluate the diagnostic efficiency of MR parameters for NASH. α was significant different between borderline and NASH groups (0.65±0.05 vs 0.72±0.07; 0.05); ADC and DDC showed no statistical difference between borderline and NASH groups (ADC:(1.09±0.14)×10(-3) vs (1.04±0.24)×10(-3) mm(2)/s; DDC: (0.73±0.08)×10(-3) vs (0.66±0.19)×10(-3) mm(2)/s; 0.05); ADC and DDC were negatively correlated with NAFLD, and the correlation coefficients were -0.552, -0.596, respectively (0.05). α was found to be positively correlated with advancement of NAFLD, the correlation coefficient was 0.729 (0.05).In terms of the diagnostic efficiency of NASH, the AUC of ADC, DDC and α were 0.736, 0.784, 0.900, respectively, α was significantly greater than ADC in diagnosis of NASH (0.05). Stretched exponential model parameter α (water molecular diffusion heterogeneity index) could be utilized to identify NAFLD. α may provide more information and improve the staging of NASH compared with conventional diffusion parameters.

摘要

评估从单指数和拉伸指数扩散加权成像模型获得的扩散参数在非酒精性脂肪性肝病分期中的可行性,并比较非酒精性脂肪性肝炎的诊断能力。将32只12周龄雄性新西兰兔,每只约2.5 kg,随机分为五组。为获得不同严重程度的非酒精性脂肪性肝病组,在使用3.0 T MR成像系统(GE医疗保健公司的Discovery 750W)进行肝脏扩散成像之前,用多种饮食(从标准饮食到高脂、高胆固醇食物)喂养不同时间段,测量表观扩散系数(ADC)、拉伸指数模型参数分布扩散系数(DDC)和α(水分子扩散异质性指数)值。获取肝脏标本进行病理分级(非酒精性脂肪性肝病活动评分系统)。通过t检验比较每组非酒精性脂肪性肝病的扩散参数,用于非酒精性脂肪性肝病不同分级之间的两两比较。采用秩相关分析评估ADC、DDC、α与非酒精性脂肪性肝病不同严重程度组之间的相关性。比较ROC曲线以评估MR参数对非酒精性脂肪性肝炎(NASH)的诊断效率。临界组和NASH组之间α有显著差异(0.65±0.05对0.72±0.07;P<0.05);临界组和NASH组之间ADC和DDC无统计学差异(ADC:(1.09±0.14)×10⁻³对(1.04±0.24)×10⁻³mm²/s;DDC:(0.73±0.08)×10⁻³对(0.66±0.19)×10⁻³mm²/s;P>0.05);ADC和DDC与非酒精性脂肪性肝病呈负相关,相关系数分别为-0.552、-0.596(P<0.05)。发现α与非酒精性脂肪性肝病的进展呈正相关,相关系数为0.729(P<着0.05)。就NASH的诊断效率而言,ADC、DDC和α的曲线下面积(AUC)分别为0.736、0.784、0.900,α在诊断NASH方面显著大于ADC(P<0.05)。拉伸指数模型参数α(水分子扩散异质性指数)可用于识别非酒精性脂肪性肝病。与传统扩散参数相比,α可能提供更多信息并改善非酒精性脂肪性肝炎的分期。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验