Objective Definition Chiasm of crus penis and discuss its possible role in penile erection. Methods Penile samples were acquired from 15 formalin preserved corpses.The structure located among crus penises were observed.The information about the structure located in crus penises with the nerve and blood vessel structure were recorded and analyzed. Results There was a structure of muscle fiber of ischiocavernosus among the crus penises.These muscle fiber through muscle bundle and tendon reach albuginea of cavernous body of the penis.There was long muscle fiber in the lateral surface of crus penises.While the muscle bundles were interlaced with each other with opposite side homonymous muscle and were encased with connective tissue when it reach to the back side of cavernous body of the penis.There were nerves and blood vessels observed in and out of the cavernous body of the penis and through the above structure in the crus penises. Conclusions Chiasm of crus penis was named as a structure of muscle fiber coming from two sides of the ischiocavernosus in crus penises.The structure of Chiasm of crus penis may provide an internal connection for the role of controlling the erection of the penis.

Radiocarpal fracture-dislocation (RFD) is a rare injury normally associated with the destruction of bones, joints and ligaments. The improper diagnosis and treatment of RFD will cause severe complications and affect the long-term function of wrist joints. The difficulties of clinical diagnosis and treatment lie in the accurate diagnosis, identification and reconstruction of the structure of specific injury. As the foreign and domestic literatures are mainly case analyses or systemic case reports rather than large-scale reports, there still lacks a systemic knowledge of the standard diagnosis and treatment of RFD clinically, thus leading to problems such as missed diagnosed or misdiagnosed, improper application of treatment methods and incomplete reconstruction. Therefore, the authors reviewed relevant literatures about the features, diagnosis and treatment of RFD, in order to provide references for the clinical diagnosis and treatment of RFD.

It is of great clinical significance in the differential diagnosis of primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM) because there are enormous differences between them in terms of therapeutic regimens. In this paper, we propose a system based on sparse representation for automatic classification of PCNSL and GBM. The proposed system distinguishes the two tumors by using of the different texture detail information of the two tumors on T1 contrast magnetic resonance imaging (MRI) images. First, inspired by the process of radiomics, we designed a dictionary learning and sparse representation-based method to extract texture information, and with this approach, the tumors with different volume and shape were transformed into 968 quantitative texture features. Next, aiming at the problem of the redundancy in the extracted features, feature selection based on iterative sparse representation was set up to select some key texture features with high stability and discrimination. Finally, the selected key features are used for differentiation based on sparse representation classification (SRC) method. By using ten-fold cross-validation method, the differentiation based on the proposed approach presents accuracy of 96.36%, sensitivity 96.30%, and specificity 96.43%. Experimental results show that our approach not only effectively distinguish the two tumors but also has strong robustness in practical application since it avoids the process of parameter extraction on advanced MRI images.

Humans ; Data Warehousing ; East Asian People ; Intracranial Hemorrhages/diagnostic imaging* ; Asian People ; Cerebral Hemorrhage/diagnostic imaging*