摘要
目的:制备术后瘢痕组织病理模型,研究术后瘢痕组织病理模型的MRI表现。方法:20只新西兰大白兔用于制备术后瘢痕组织,在无菌环境下,钝性分离其后大腿的肌梭,植入折叠后大小约3 cm×3 cm的无菌纱布。术后两周取出植入的纱布。观察3周后行MRI扫描,扫描序列为SE序列T1WI、FRFSE序列T2WI、SE-EPI序列DWI和3D-FSPGR序列PWI。扫描结束后处死兔子,取瘢痕组织行常规病理学检查。结果:20只兔子术后瘢痕组织模型的制备均成功,制备的瘢痕组织的病理表现与增生性瘢痕的表现相似。MRI平扫T1WI上呈中等及稍高信号,T2WI呈高信号;在DWI上呈混杂高信号,瘢痕组织的ADC值小于正常肌肉组织;灌注成像(PWI)上其时间-信号强度曲线12例呈缓慢上升型,8例曲线升支较陡直、升至峰值后持续在较高水平。瘢痕组织和正常肌肉组织之间的Emax值和Es值存在明显差异。结论:钝性分离肌肉组织植入纱布刺激瘢痕组织增生是一种制备术后瘢痕组织模型的有效造模方法,瘢痕组织的MRI表现在一定程度上可以反映其病理学特点。
Objective：To prepare the postoperative scar models and to study their MRI appearances. Methods：20 New Zealand white rabbits were used to prepare post-operation scar models. Scar tissue was prepared by implanting folded gauze （3cm× 3cm in size） between muscle bellies by blunt dissection under sterile environment. The gauze was surgically removed 2 weeks later. MR1 scanning was performed after 3 weeks with the pulse sequences including T1WI of SE series,T2WI of FRFSE series;DWI and PWI of 3D-FSPGR series. The rabbits were sacrificed after MR scanning and the scar tissues were taken out for pathology examination. Results： All of the 20 rabbits had the postoperative scar models successfully prepared. The pathology appearances of the model were similar to that of hyperplastic scar showing moderate/hyper-intensity on T1WI,hyper-intensity on T2 WI of plain MRI and heterogeneous hyper-intensity on DWI. The mean ADC value was less than that of normal muscular tissue. The time-signal intensity curves of 12 models ascended slowly on perfusion weighted imaging （PWI） ,and swiftly in the other 8 models,which kept high level after reaching the peak value. The Emax and Es value of scar tissue and normal muscle showed obvious differences. Conclusion： Scar tissue prepared by packing folded gauze between the muscle bellies is an effective approach. The MRI appearances of postoperative scar tissue might reflect its pathology characteristics.
出处
《放射学实践》
北大核心
2010年第11期1186-1189,共4页
Radiologic Practice
关键词
瘢痕组织
模型
磁共振成像
动物实验
Scar tissue
Model
Magnetic resonance imaging
Animal experiment
