目的为了提高脾脏炎性肌纤维母细胞瘤的诊断水平,探讨多模态影像学的价值。方法回顾分析本院1例成人脾炎性肌纤维母细胞瘤(inflammatory pseudotumor of spleen,SIMT)患者的影像资料,包括彩色超声、CT平扫及增强、MRI平扫,并复习文献。...目的为了提高脾脏炎性肌纤维母细胞瘤的诊断水平,探讨多模态影像学的价值。方法回顾分析本院1例成人脾炎性肌纤维母细胞瘤(inflammatory pseudotumor of spleen,SIMT)患者的影像资料,包括彩色超声、CT平扫及增强、MRI平扫,并复习文献。结果脾脏内数枚肿块,以低回声为主,回声不均,边界尚清,形态规整,内见少许血流信号。CT平扫为等密度,其内见小片状低密度区;增强后呈轻度至中度不均匀强化。MRI表现:T1WI上低或等信号,T2WI序列及T2WI抑脂序列为等及高信号,病灶周围见完整包膜,DWI图为等及高信号,信号不均匀。病理学及免疫组化结果为SIMT;EB病毒(+)。结论SIMT临床表现缺乏特异性,最终需病理学确诊。多模态影像学检查对脾炎性肌纤维母细胞瘤有很高的诊断和鉴别诊断价值。展开更多
This paper deals with the application of Acousto-ultrasonics,in con- junction with Pattern Recognition and Classification techniques,to the identification of residual impact properties of a class of polymeric material...This paper deals with the application of Acousto-ultrasonics,in con- junction with Pattern Recognition and Classification techniques,to the identification of residual impact properties of a class of polymeric material,namely,Polyvinylchlo- ride(PVC).PVC specimens of different low-energy repeated impact damage states are processed by Acousto-ultrasonics(AU)to retrieve AU signals in the form of dig- italized records.These AU signals are grouped as distinct classes,each pertaining to a known level of repeated impact damage.Describing features of these AU signals are used to build Pattern Recognition(PR)Classifiers.These classifiers are used to identify unknown damage states in other PVC specimens by classifying the re- trieved AU signals as belonging to one of the classes.The obtained results indicate that Acousto-ultrasonics in combination with Pattern Recognition and Classification techniques can be used for the quantitative non-destructive identification of damage states in PVC specimens of unknown low-energy repeated impact conditions.展开更多
文摘目的为了提高脾脏炎性肌纤维母细胞瘤的诊断水平,探讨多模态影像学的价值。方法回顾分析本院1例成人脾炎性肌纤维母细胞瘤(inflammatory pseudotumor of spleen,SIMT)患者的影像资料,包括彩色超声、CT平扫及增强、MRI平扫,并复习文献。结果脾脏内数枚肿块,以低回声为主,回声不均,边界尚清,形态规整,内见少许血流信号。CT平扫为等密度,其内见小片状低密度区;增强后呈轻度至中度不均匀强化。MRI表现:T1WI上低或等信号,T2WI序列及T2WI抑脂序列为等及高信号,病灶周围见完整包膜,DWI图为等及高信号,信号不均匀。病理学及免疫组化结果为SIMT;EB病毒(+)。结论SIMT临床表现缺乏特异性,最终需病理学确诊。多模态影像学检查对脾炎性肌纤维母细胞瘤有很高的诊断和鉴别诊断价值。
文摘This paper deals with the application of Acousto-ultrasonics,in con- junction with Pattern Recognition and Classification techniques,to the identification of residual impact properties of a class of polymeric material,namely,Polyvinylchlo- ride(PVC).PVC specimens of different low-energy repeated impact damage states are processed by Acousto-ultrasonics(AU)to retrieve AU signals in the form of dig- italized records.These AU signals are grouped as distinct classes,each pertaining to a known level of repeated impact damage.Describing features of these AU signals are used to build Pattern Recognition(PR)Classifiers.These classifiers are used to identify unknown damage states in other PVC specimens by classifying the re- trieved AU signals as belonging to one of the classes.The obtained results indicate that Acousto-ultrasonics in combination with Pattern Recognition and Classification techniques can be used for the quantitative non-destructive identification of damage states in PVC specimens of unknown low-energy repeated impact conditions.