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The aim of this study is designed an improved ResNet 50 network to achieve automatic classification model for pain expressions by elderly patients with hip fractures. This study built a dataset by combining the advantages of deep learning in image recognition, using a hybrid of the Multi-Task Cascaded Convolutional Neural Networks (MTCNN). Based on ResNet50 network framework utilized transfer learning to implement model function. This study performed the hyperparameters by Bayesian optimization in the learning process. This study calculated intraclass correlation between visual analog scale scores provided by clinicians independently and those provided by pain expression evaluation assistant(PEEA). The automatic pain expression recognition model in elderly patients with hip fractures, which constructed using the algorithm. The accuracy achieved 99.6% on the training set, 98.7% on the validation set, and 98.2% on the test set. The substantial kappa coefficient of 0.683 confirmed the efficacy of PEEA in clinic. This study demonstrates that the improved ResNet50 network can be used to construct an automatic pain expression recognition model for elderly patients with hip fractures, which has higher accuracy.
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Autophagy is a lysosome-mediated catabolic process that captures and degrades dysfunctional organelles and useless proteins during cellular stress process， which plays a dual role in cervical cancer. In the early stage of cervical cancer， autophagy inhibits the occurrence and development of cervical cancer by prohibiting the accumulation of oncogenic p62 protein. In the advanced stage of cervical cancer， inhibition of autophagy of cancer cells enhances the sensitivity of cancer cells to chemotherapeutic drugs， thus inhibiting their proliferation. In recent years， the research on Chinese medicine monomers regulating autophagy in the treatment of cervical cancer has attracted extensive attention from scholars at home and abroad. Chinese medicine monomers regulate the autophagy of cervical cancer cells through multiple pathways and multiple targets， so as to increase the apoptosis rate and reduce the resistance of cancer cells to chemotherapeutic drugs. Therefore， this paper reviewed the mechanism of Chinese medicine monomers in inhibiting cervical cancer through autophagy， expecting to find new breakthroughs in the discovery and development of preventive and therapeutic drugs for cervical cancer. By reviewing the literature， it was found that in the early stage of cervical cancer， Chinese medicine monomers activated autophagy to promote apoptosis of cancer cells， and the main mechanism was to increase lysosomal membrane permeability and chemotherapeutic sensitivity and activate intact autophagy flow. In the advanced stage of cervical cancer， inhibition of autophagy reduced the sensitivity of cancer cells to chemotherapy drugs by inhibiting the formation of autophagosomes and autolysosomes. The treatment of cervical cancer by Chinese medicine monomers regulating autophagy has achieved certain effect， but there are few clinical experimental studies and lack of reliable clinical theoretical basis. Therefore， it is essential to carry out more clinical experimental studies on Chinese medicine monomers regulating autophagy to treat cervical cancer， thus finding more reliable theoretical basis for the treatment of tumors.
RESUMO
Autophagy is a lysosome-mediated catabolic process that captures and degrades dysfunctional organelles and useless proteins during cellular stress process， which plays a dual role in cervical cancer. In the early stage of cervical cancer， autophagy inhibits the occurrence and development of cervical cancer by prohibiting the accumulation of oncogenic p62 protein. In the advanced stage of cervical cancer， inhibition of autophagy of cancer cells enhances the sensitivity of cancer cells to chemotherapeutic drugs， thus inhibiting their proliferation. In recent years， the research on Chinese medicine monomers regulating autophagy in the treatment of cervical cancer has attracted extensive attention from scholars at home and abroad. Chinese medicine monomers regulate the autophagy of cervical cancer cells through multiple pathways and multiple targets， so as to increase the apoptosis rate and reduce the resistance of cancer cells to chemotherapeutic drugs. Therefore， this paper reviewed the mechanism of Chinese medicine monomers in inhibiting cervical cancer through autophagy， expecting to find new breakthroughs in the discovery and development of preventive and therapeutic drugs for cervical cancer. By reviewing the literature， it was found that in the early stage of cervical cancer， Chinese medicine monomers activated autophagy to promote apoptosis of cancer cells， and the main mechanism was to increase lysosomal membrane permeability and chemotherapeutic sensitivity and activate intact autophagy flow. In the advanced stage of cervical cancer， inhibition of autophagy reduced the sensitivity of cancer cells to chemotherapy drugs by inhibiting the formation of autophagosomes and autolysosomes. The treatment of cervical cancer by Chinese medicine monomers regulating autophagy has achieved certain effect， but there are few clinical experimental studies and lack of reliable clinical theoretical basis. Therefore， it is essential to carry out more clinical experimental studies on Chinese medicine monomers regulating autophagy to treat cervical cancer， thus finding more reliable theoretical basis for the treatment of tumors.
RESUMO
Objective To study the changes of CDH1 gene promoter CpG island methylation and its clinical significance in patients with esophagus and stomach double primary carcinoma(ESDC).Methods The expression of CDH1 gene methylation in cancerous tissues and adjacent cancerous tissues in 18 cases of ESDC were detected using methylation-specific PCR method. Results Eighteen patients were endoscopically diagnosed as ESDC between Jan. 2007 and Sep. 2009 in the 4th Hospital Affiliated to Hebei Medical University. The positive methylation of CDH1 gene in tissues of esophageal squamous cell carcinoma (ESCC)and adjacent cancer were 66.7% and 33. 3%, respectively, with significant difference (χ2= 4. 167, P = 0. 031). Whereas the positive methylation of CDH1 gene in tissues of gastric carcinoma (GA) and adjacent cancer were 77.8% and 44.4%, respectively, without statistical difference (χ2=1.786, P= 0. 180). There was no significant difference (P=0. 500) in positive rate of CDH1 gene methylation between ESCC tissues and GA tissues in same individual with ESDC. For 18 patients with ESDC, consistent change of CDH1 methylation in tissues of two kinds of cancers was found in 16 patients with a total agreement of 88.9 % (positive agreement of 66.7 % and negative agreement of 22. 2%). Statistical analysis showed a significant correlation between two groups (P = 0. 005). Conclusion In patients with ESDC, there is a high consistency of CDH1 methylation change, between ESCC and GA,which suggests that two kinds of cancer may have similar risk factors and molecular mechanisms.
