Objective To investigate the association and mechanism between glutathione S-transferase P1(GSTP1) and radiation-induced lung injury.Methods Two effective GSTP1 siRNAs were designed and synthesized.The normal lung epithelial cell line BEAS-2B cells were transfected with GSTP1 siRNA (experimental group,siRNA-1,siRNA-2) and negative control siRNA (negative control group,NC).Western blot was performed to detect the expression levels of GSTP1 protein and EMT-related proteins.CDNB was adopted to evaluate the activity of GSTs.DCFH-DA probe was used for incubation.Flow cytometry was conducted to detect the median fluorescence intensity (MFI) and cellular apoptosis.Annexin-v/PI staining was utilized for incubation.MTT assay was performed to measure the proliferation of BEAS-2B,and the growth curve was drawn based on the results.Results After radiation,compared with the NC group,the ROS level and MFI were significantly higher in experimental group (6774.66±399.60 vs.8759.00±256.96 vs.9967.67±735.11,P＜0.05).In the experimental group,the percentage of cellular apoptosis was remarkably higher than that in the NC group (12.3± 1.16 vs.17.38± 1.65 vs.22.88± 1.20,P＜0.05).MTT assay demonstrated that the OD values in the experimental group were significantly lower than that in the NC group everyday.Further more,the level of EMT process is higher in the experimental group.Conclusions Interfering with the GSTP1 expression in lung epithelial cells can increase the intracellular ROS level,increase the percentage of cellular apoptosis,and reduce the cell proliferation rate following γ-radiation.Besides,it can also promote the epithelial mesenchymal transition in lung epithelial cells.The down-regulation of GSTP1 protein expression level probably aggravates the radiationinduced lung cell injury and promotes the epithelial mesenchymal transition.

Objective To investigate the value of radiological and clinical features in predicting preoperatively spread through air spaces(STAS)in early-stage lung adenocarcinoma,and to provide patients with early-stage lung adenocarcinoma the reference in choice of the operation method.Methods The radiological and clinical data of 264 patients with resection of the pulmonary nodules were analyzed retrospectively,and the spicule sign,pleural indentation sign,vessel convergence sign,lobulated sign,vacuole sign,consolidation-to-tumor ratio(CTR)and general clinical data were analyzed.Results There were 110 cases with STAS positive and 154 cases with STAS negative.There were significant differences in smoking history,spicule sign,pleural indentation sign,and CTR between STAS positive and STAS negative(P＜0.05).CTR≥18.2％was an independent risk factor by logistic analysis.Conclusion CTR≥18.2％is an independent risk factor of STAS positive,while pulmonary nodules with spicule sign,pleural indentation sign and CTR≥18.2％are highly suspected STAS positive in smoking history patients,providing evidence in surgical method choice for patients with early-stage lung adenocarcinoma.

Intelligent medical image segmentation methods have been rapidly developed and applied, while a significant challenge is domain shift. That is, the segmentation performance degrades due to distribution differences between the source domain and the target domain. This paper proposed an unsupervised end-to-end domain adaptation medical image segmentation method based on the generative adversarial network (GAN). A network training and adjustment model was designed, including segmentation and discriminant networks. In the segmentation network, the residual module was used as the basic module to increase feature reusability and reduce model optimization difficulty. Further, it learned cross-domain features at the image feature level with the help of the discriminant network and a combination of segmentation loss with adversarial loss. The discriminant network took the convolutional neural network and used the labels from the source domain, to distinguish whether the segmentation result of the generated network is from the source domain or the target domain. The whole training process was unsupervised. The proposed method was tested with experiments on a public dataset of knee magnetic resonance (MR) images and the clinical dataset from our cooperative hospital. With our method, the mean Dice similarity coefficient (DSC) of segmentation results increased by 2.52% and 6.10% to the classical feature level and image level domain adaptive method. The proposed method effectively improves the domain adaptive ability of the segmentation method, significantly improves the segmentation accuracy of the tibia and femur, and can better solve the domain transfer problem in MR image segmentation.
Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Magnetic Resonance Imaging ; Knee ; Knee Joint

OBJECTIVE To explore the genetic basis for a family affected with Peutz-Jeghers syndrome (PJS). METHODS Genomic DNA was extracted from peripheral blood and oral swab samples from the patient and her relatives. Next-generation sequencing (NGS) was used to analyze 106 target genes by capturing the exons and adjacent intronic regions. Suspected pathogenic mutation was verified by NGS. RESULTS A missense STK11 mutation was detected in the proband, which was not reported previously. The mutation has caused substitution of Leucine by Proline. NGS has detected the same mutation in the mother but not among other relatives. CONCLUSION This hereditary case of PJS may be attributed to the missense mutation of the STK11 gene.

Humans ; Arthroplasty, Replacement, Knee ; Follow-Up Studies ; Cohort Studies ; Treatment Outcome ; Minimally Invasive Surgical Procedures ; Knee Joint/surgery* ; Knee Prosthesis ; Osteoarthritis, Knee/surgery*