Objective To investigate the effect of Biglycan and FAK signal pathway on the proliferation of colon cancer cells in vitro and its possible mechanisms.Methods Biglycan expression vector was constructed and transfected into the colon cancer cell line HCT116.FAK inhibitor was used for cell treatment as well.Cells were divided into 5 groups:control group(HCT116),control group transfected with empty plasmid(Vector),con-trol group with empty plasmid transfected and inhibitor treatment(Vector+PF-562271),group transfected with Biglycan expression vector(Biglycan),group with Biglycan expression vector transfected and inhibitor treatment ( Biglycan+PF-562271) .Treatment duration was 24 hours.The expressions of FAK,p-FAK,PCNA and p53 were detected by Western Blot.The proliferation of cells was detected by MTT.Results The overexpression of Biglycan significantly promoted the proliferation of HCT116 and the phosphorylation of FAK(P<0.01).It signif-icantly up-regulated PCNA and down-regulated p53(P<0.01).The FAK inhibitor PF-562271 treatment could obviously inhibit the proliferation of HCT116,and the regulation of Biglycan on the expression of p-FAK, PCNA.p53 proteins was reversed(P<0.01).Conclusion Biglycan regulates the proliferation of colon cancer cells by promoting the activation of FAK signal pathway.

Objective To observe the influence of Biglycan on the focal adhesion kinase( FAK) activa-tion and to explore whether it regulates the invasion and metastasis of colon cancer through FAK signaling path-way.Methods The overexpressive plasmid of Biglycan was constructed and then transfected into the colon canc-er cell line HCT116.Meanwhile,FAK inhibitor was used to treat cells.Control group(HCT116),empty plasmid group(Vector),empty plasmid and inhibitor treatment group(Vector +PF -562271),Biglycan overexpression group( Biglycan) ,Biglycan overexpression and inhibitor treatment group( Biglycan+PF-562271) were set.Twen-ty four hours after exposure to inhibitor,the expression of FAK and p-FAK in each group was detected by West-ern Blot.The invasion and metastasis of colon cancer cells was detected by transwell assay.Results Overexpres-sion of Biglycan significantly enhanced the phosphorylation level of FAK and promoted the invasion and metastasis of HCT116(P<0.01).The inhibitor of FAK PF-562271 could significantly reduce the expression of p-FAK and reverse the effect of Biglycan on the invasion and metastasis of colon cancer cells.Conclusion Biglycan reg-ulates the invasion and metastasis of colon cancer cells through activation FAK signaling pathway.

Incised wounds were made in rabbits, and some of the wounds were dressed with chitosan, and others with gauze. After bleeding stopped, hemoglobin in dressings was measured to determine the hemostaic effect. Wounds were redressed, and healing process was studied histologically. The results showed that less Hb was detected in chitosandressing than in gauze. On day 9 after wounding, the content of granulation tissue and collagen formation in the chitosan dressed wounds was more than that in Vaseline gauze dressed group. It suggests that chitosan dressing is effective in hemostasis for incised wounds and may be helpful in wound healing process.

Objective To evaluate the efficacy and safety profile of a recombinant human tumor necrosis factor receptor: Fc fusion protein in ankylosing spondylitis (AS). Methods This was a multicenter,randomized, double-blind, placebo-controlled trial in the first 6 weeks and then followed by an open-labeled trial in the next 6 weeks. One hundred and forty-three patients of active AS were randomly assigned to receive 25 mg twice-weekly subcutaneous injections of rhTNFR:Fc or placebo for 6 weeks. The primary endpoint was proportion of ASAS20 responders at week 6. The secondary endpoints were the proportion of subjects achieving a BASDAI 20%, BASDAI 50% and BASDAI 70% improvement at week 6. Other secondary endpoints, related to reducing signs and symptoms of AS and improving range of motion and physical function, were evaluated.Results Treatment with rhTNFR:Fc resulted in significant improvement. At 6 weeks, 68% of the 71 patients in the rhTNFR: Fc group had a treatment response, as compared with 28% of those in the placebo group(P＜0.01). Improvements over base-line values for other measures of disease activity were significantly greater in the rhTNFR:Fc group, rhTNFR:Fc was well tolerated, The most frequently treatment related adverse event was injection site reaction. Conclusion rhTNFR:Fc has demonstrated consistent evidence of efficacy and is well tolerated in the treatment of active AS.

Objective To evaluate the CT and pathological features of head and neck pilomatricoma.Methods We retrospectively analyzed the CT findings of 13 patients with head and neck pilomatricoma which were pathologically confirmed.Of them 7 patients received plain CT,2 patients received contrast-enhancement,and 4 patients received plain CT plus contrast-enhancement.Results All the patients presented with solitary tumors,9 of them occurred in the parotid gland region,one in the left occipital,one in the right forehead,one in the right parietal,and another one in the left eyelid.The maximal diameter of the tumors ranged from 0.6 to 2.3 cm with a mean of 1.5 cm.All lesions were well-circumscribed,with partial attachment to the overlying skin.Most of lesions were isodense relative to adjacent skeletal muscle on nonenhanced CT scans,sand-like or nodular calcifications within the masses were showed in 8 cases,and no cystic degeneration was found.On contrast-enhanced imaging,mild to moderate homogenous enhancement was showed in 3 cases,heterogeneous moderate enhancement with patchy nonenhancing necrosis area in one case,marked enhancement in one case,and complete calcification with no enhancement in one case.Conclusion Head and neck pilomatricoma presents with certain characteristics on CT,which are useful in the clinical diagnosis and differential diagnosis.

Objective To obtain the range of anatomical parameters of healthy knee joints in Chinese males and validate a statistical shape model(SSM)based on the geometric shape of a healthy knee to provide references for the design of knee SSM-based prostheses.Methods Computed tomography(CT)images of knee joints from 112 healthy males were acquired to build three-dimensional(3D)knee joint models.Each model was the target model separately,and the remaining models were used as the training set for principal component analysis(PCA).The obtained knee SSM was fitted to the target model to predict the SSM.The exact anatomical measurement points were marked on the sample and SSM prediction models,and 17 linear and 3 angular parameters were derived.The values of the anatomical parameters were statistically tested using an independent samples t-test and Mann-Whitney U-test,and the validity of the SSM in terms of geometric shape was demonstrated if the resulting P-values were all greater than 0.05.Results Qualitative and quantitative comparative analyses of anatomical parameters showed that the mean deviation of linear parameters was less than 6 mm,and that of angular parameters was less than 2.5°.The results of statistical tests showed P＞0.05 for all anatomical parameters,proving that the knee SSM prediction model was not statistically different from the true healthy model in terms of geometric shape.Conclusions This study derived a reference range of anatomical parameters for a healthy knee and demonstrated that the knee SSM model was consistent with the real healthy model in terms of shape.The results provide a reference for the design of knee SSM-based prostheses.

Objective:To compare the preliminary clinical effect of mitral valve replacement and mitral valvuloplasty on hypertrophic obstructive cardiomyopathy with mitral regurgitation.Methods:From January 2010 to December 2013, the patients undergoing cardiac surgery at Bakulev Cardiovascular Surgery Research Center in Russia were randomly divided into two groups: Forty-one patients received left ventricular outflow tract hypertrophy myocardial resection (Morrow operation) combined with mitral valve replacement (MVR) as MVR group; Forty-seven patients received Morrow surgery combined with mitral valve repair (MVr) as MVr group.The primary end point: death, secondary end point: thrombosis complications (cerebral infarction, peripheral arterial embolism), recurrence of mitral regurgitation and left ventricular outflow tract pressure difference were compared between the two groups.Results:In the MVr group, 6 cases were converted to MVR and were excluded from the study.The survival rates of MVR group and MVR group were 78.9% and 96.6%, respectively , and the thromboembolic free survival rates of MVR group and MVr group were 83.2% and 100%, respectively. The differences were statistically significant( P=0.034, 0.026, respectively). There was no significant difference in mitral regurgitation and left ventricular outflow tract pressure difference between MVR group and MVR group 24 months after operation( P=1.000, 0.934, respectively). Conclusion:Operation combined with MVR or MVr is an effective method to relieve left ventricular outflow tract obstruction and mitral regurgitation. Morrow operation combined with MVr can improve survival rate and reduce thrombosis complications.

Purpose To investigate the clinical value of artificial intelligence(AI)quantitative parameters in predicting the invasion degree of lung adenocarcinoma with diameter≤2 cm of ground-glass density.Materials and Methods A total of 80 patients with lung adenocarcinoma with diameter≤2 cm ground-glass density confirmed by pathology from March 2019 to April 2022 were retrospectively analyzed.A total of 90 nodules were rerolled,including 8 adenocarcinomas in situ(AIS),34 minimally invasive adenocarcinomas(MIA)and 48 invasive adenocarcinomas(IAC).They were divided into the experimental group(IAC)and the control group(AIS and MIA).The differences of the AI quantitative parameters such as volume,three-dimensional length diameter,maximum area,maximum CT value,minimum CT value and average CT value were compared between two groups,and the predictive values of AI quantitative parameters for the invasion degree of lung adenocarcinoma was evaluated.Results There were statistically significant differences with age,volume,three-dimensional length diameter,maximum area,maximum CT value and average CT value between the two groups(all P<0.05),but no statistically significant differences in gender and minimum CT value(both P>0.05).Binary Logistic regression analysis showed that the three-dimensional length diameter(odd ratio=2.020,P=0.034)and the maximum CT value(odd ratio=1.008,P=0.013)were independent predictors for lung adenocarcinoma with diameter≤2 cm of ground-glass density.The regression model based on the three-dimensional length diameter and the maximum CT value had the best predictive performance,and its AUC was 0.901.When the critical value was 2.432,its sensitivity and specificity were 93.75%and 71.43%,respectively.Conclusion AI quantitative parameters have a high value in predicting the degree of invasion of lung adenocarcinoma with diameter≤2 cm of ground-glass density,and the combined model with three dimensional long diameter and maximum CT value has the highest diagnostic efficiency.

Objective To observe the value of artificial intelligence(AI)knowledge graph and image classification for quality control(QC)of chest posterior-anterior position X-ray radiograph(abbreviated as chest film).Methods Totally 9 236 chest films from 595 medical institutions in Anhui province imaging cloud platform were retrospectively enrolled.QC knowledge graph containing 21 classification labels were constructed.Firstly,QC of chest films based on the above knowledge graph were performed by 10 technicians for 2 rounds of single person and 1 round of multi person,and the results were recorded as A,B and C,respectively.Then AI algorithms were used to classify and evaluate based on knowledge graph,and the result was recorded as D.Finally,a QC expert reviewed results C and D to determine the final QC results and taken those as references to analyze the efficiency of the above 4 QC.Results The area under the curve(AUC)of AI algorithm for QC of chest films were all ≥0.780,with an average value of 0.939.The average precision of QC for chest films of A,B,C and D was 81.15％,85.47％,91.65％and 92.21％,respectively.Conclusion AI knowledge graph and image classification technology could be effectively used for QC of chest posterior-anterior position X-ray radiograph.

We use a dense and fully connected convolutional network with good feature learning in small samples, to automatically pre-deline CTV of cervical cancer patients based on CT images and evaluate the effect. The CT data of stage IB and IIA postoperative cervical cancer with similar delineation scope were selected to be used to evaluate the pre-sketching accuracy from three aspects:sketching similarity, sketching offset and sketching volume difference. It has been proved that the 8 most representative parameters are superior to those with single network and reported internationally before. Dense V-Net can accurately predict CTV pre-delineation of cervical cancer patients, which can be used clinically after simple modification by doctors.
Automation ; Female ; Humans ; Machine Learning ; Patients ; Tomography, X-Ray Computed ; Uterine Cervical Neoplasms/diagnostic imaging*