Intestinal microflora is an important part of the organ-ism, promoting digestion and absorption of nutrients, maintaining intestinal normal physiological function, regulating immune sys-tem. Intestinal microflora maintains steady state under normal conditions, but intestinal microbiota dysbiosis occurs when surrounding environment c hanges, such as age, diet, obesity and other metabolic diseases as well as antibiotics. Many recent studies have found intestinal flora could cause a variety of disea-ses, and colon cancer is closely related with intestinal microbiota dysbiosis. Some researches suggest improving the intestinal flora dysbiosis can reduce the incidence of colon cancer and inhibit the growth and the worsening of colon cancer. However, under-lying mechanisms remain unknown. So this article summarizes the research progress on the development of colon cancer and in-testinal microbiota dysbiosis, in order to provide reference for re-search on intestinal flora and colon cancer treatment.

Objective:To investigate the effect of serum cystatin C level on the occurrence and its long-term prognosis of contrast agent-induced acute kidney injury(CI-AKI)after percutaneous coronary intervention(PCI)in elderly patients.Methods:A total of 848 elderly patients(≥60 years)undergoing PCI in our department between Mar 2015 and Dec 2017 were enrolled in a prospective cohort.The CI-AKI was defined as the increase of serum creatinine ≥44.2 μmol/L within 48-72 h after using iodine contrast agent or more than 25 % higher than base level within 48-72 h after PCI.A receiver operating characteristic curve was used to analyze the optimal cut-off value of Cystatin C for predicting CI-AKI after PCI.Patients were divided into 2 groups based on the optimal cut-off value of Cystatin C: the high Cystatin C group(Cystatin C ≥1.3 mg/L, n=178)and the control group(Cystatin C<1.3 mg/L, n=670). The differences in the incidence of CI-AKI after PCI and major adverse cardiac events(MACE)at 1 year follow-up were compared between the two groups.The Cox regression model was further used to analyze the predictors of the long-term prognosis after PCI.Results:Of 848 patients receiving PCI, the incidence of CI-AKI was 9.4%.The incidence of MACE at 1 year after PCI was higher in the high Cystatin C group than in the control group(15.7% vs.9.3%, χ2=6.524, P=0.011). Cox regression analysis confirmed that the high baseline level of Cystatin C was the most independent predictive factor for MACE at 1 year of follow-up( HR=16.244, P<0.001). Conclusions:The high baseline level of Cystatin C(≥1.3 mg/L)is an independent risk factor for CI-AKI and is also the most important predictor for the occurrence of long-term MACE in elderly patients undergoing PCI.

Objective: To evaluate the efficacy of Tuina (Chinese therapeutic massage) manipulation plus horse-riding squat exercise in treating knee osteoarthritis (KOA) and optimize the combining protocol. Methods: Based on a 2×2 factorial design, 120 eligible KOA patients were randomized into a manipulation group (group A1B2), a manipulation plus horse-riding squat group (group A1B1), a sitting knee-adjustment group (group A2B2 group), and a sitting knee-adjustment plus horse-riding squat group (group A2B1), with 30 cases in each group. The intervention was conducted three times a week, lasting for four weeks. The Western Ontario and McMaster Universities osteoarthritis index (WOMAC) was taken as the major measure for efficacy evaluation (including three component scores, pain, stiffness, and daily function, and total score). Results: The three component scores (pain, stiffness, and daily function) and the total score of WOMAC showed significant differences after the intervention in the four groups (P<0.05). There were significant inter-group differences in the WOMAC stiffness score amongst the four groups after the intervention (P<0.05). In group A1B1, the step length, stride, walking speed, and knee joint flexion angle changed significantly after treatment (P<0.05). After the intervention, the step length changed significantly in group A1B2 (P<0.05), and the walking speed changed significantly in group A2B1 (P<0.05). There were no significant differences in the step length, stride, walking speed, or knee joint flexion angle among the four groups (P>0.05). The extensor peak torque at 180 °/s changed significantly in group A1B2 after treatment (P<0.05). Neither the intra-group nor the inter-group comparisons of the four groups revealed significant differences in the other isokinetic muscle strength parameters (P>0.05). The main effect of manipulation showed significant in affecting the WOMAC pain and total scores (P<0.05). The main effect of horse-riding squat exercise showed significant in affecting the WOMAC pain and stiffness scores (P<0.05). Conclusion: The four treatment protocols all can improve the symptoms of KOA, for instance, relieving pain and stiffness, and enhancing daily function. Group A2B1 produces the most eminent effect in relieving joint stiffness. The main effects of both manipulation and horse-riding squat exercise are significant in reducing pain. Besides, the main effect of horse-riding squat exercise is significant in relieving joint stiffness.

Objective: To compare the setup accuracy between Catalyst HD and skin markers in stereotactic body radiotherapy (SBRT) of lung cancer. Methods: A total of 24 cases treated with SBRT were selected and all patients were fixed with vacuum pad in the supine position. Patients in group A were positioned by Catalyst HD and those in group B were positioned by shin markers. All patients were matched with the CT images after CBCT scan by rigid registration and the setup errors in six directions (x-, y-, z-axis, Rtn, Pitch and Roll) were obtained. Results: The mean±SD in group A and B in the six directions were as follows: (0.13±0.12) cm, (0.25± 0.19) cm; (0.26±0.15) cm, (0.13±0.11) cm; (0.23±0.19) cm, (0.35±0.29) cm; (0.43°±0.40°), (0.80°±0.69°); (0.48°±0.47°), (0.79°±0.64°); (0.62°±0.60°) and (0.88°±0.70°), respectively. Except the x-axis data in group B, all the data in the six directions were not normally distributed. The obtained data significantly differed between two groups (all P<0.05). The out-of-tolerance errors (>0.5 cm/2°) also significantly differed between two groups (P<0.05). Conclusions The setup errors of Catalyst HD are less than those of the skin markers (except the y-axis). The setup accuracy of Catalyst HD is superior to that of traditional skin markers, which is worthy of application in clinical practice.

As a new industrial technology with characteristics of high precision and accuracy,the application of three-dimensional bioprinting technology is increasingly wide in the field of medical research.Collagen is one of the most common ingredients in tissue,and it has good biological material properties.There are many reports of using collagen as main composition of " ink" of three-dimensional bioprinting technology.However,the applied collagen is mainly from heterogeneous sources,which may cause some problems in application.Recombinant human source collagen can be obtained from microorganism fermentation by transgenic technology,but more research should be done to confirm its property.This article reviews the advances in the research of collagen and its biological application in three-dimensional bioprinting.

Objective This study aims to develop and validate a dynamic web-based nomogram for predicting kinetophobia in patients following percutaneous coronary intervention(PCI).Methods A prospective design was employed to selectively enroll 330 PCI patients admitted to a hospital in Hangzhou from December 2022 to July 2023.Single-factor analysis and Lasso regression were utilized to identify independent risk factors for kinesophobia post-PCI.Logistic regression was performed using R software,and a nomogram was constructed.The model was assessed through the area under the receiver operating characteristic curve(AUC)and Hosmer-Lemeshow tests.Results There were 206 cases of kinesiophobia in 330 patients after PCI,and the incidence was 62.4％.Logistic regression analysis identified combined heart failure,emergency surgery,NYHA cardiac function grade,ADL level,sedentary behavior,Chinese version of PROMIS Physical Function Summary Table score,and Chinese version of Perceptive Social Support Scale score as independent influencing factors for kinesophobia after PCI(P＜0.05).The AUC value of the model was 0.821,with a sensitivity of 70.4％and specificity of 82.0％.The Hosmer-Lemeshow fit test yielded a non-significant result(x2=9.350,P=0.314).Calibration and decision curves demonstrated the model's favorable calibration and clinical practicability.The C-index of the nomogram prediction model was 0.778,0.774,and 0.800,respectively,by 5-fold cross-validation,10-fold cross-validation,and the Bootstrap method.Conclusion The dynamic nomogram model developed in this study effectively predicts kinesophobia in patients after PCI.It provides valuable references and support for clinical staff in early identification of high-risk patients,enabling the formulation of individualized health education strategies and exercise rehabilitation plans.

Objective:To retrospectively identify the risk factors for postoperative nausea and vomiting (PONV)in the obese patients undergoing laparoscopic sleeve gastrectomy(LSG).Methods:The medical records from the obese patients who underwent elective laparoscopic sleeve gastrectomy from January 2018 to July 2022 were retrospectively collected. PONV was defined according to the use of remedial antiemetics in the nursing record sheet, and the patients were divided into PONV group and non-PONV group according to the occurrence of PONV that required treatment. The logistic regression analysis was used to identify the risk factors for PONV after LSG.Results:A total of 1 264 obese patients were included in this study, and there were 263 patients in PONV group, and the incidence of PONV was 20.81%. According to the results of multifactorial logistic regression analysis, female( OR=1.533, 95% CI 1.007-2.334, P=0.046), higher level of serum alanine aminotransferase concentrations ( OR=1.006, 95% CI 1.002-1.009, P=0.001), higher level of C-reactive protein ( OR=1.013, 95% CI 1.005-1.022, P=0.001), general anesthesia combined with nerve block (general anesthesia combined with TAPB: OR=2.737, 95% CI 1.817-4.121, P<0.001; general anesthesia combined with other nerve block: OR=1.899, 95% CI 1.249-2.889, P=0.003) and intraoperative use of sufentanil ( OR=2.114, 95% CI 1.308-3.415, P=0.002) were independent risk factors for PONV( P<0.05). However, the higher level of serum follicle-stimulating hormone concentrations ( OR=0.941, 95% CI 0.895-0.988, P=0.015), intraoperative use of dexmedetomidine ( OR=0.640, 95% CI 0.417-0.982, P=0.041), and administration of prophylactic antiemetic medication (antiemetic drugs during operation OR=0.669, 95% CI 0.469-0.955, P=0.027; antiemetic drugs after operation OR=0.303, 95% CI 0.182-0.503, P<0.001; antiemetic drugs during and after operation OR=0.215, 95% CI 0.107-0.434, P<0.001) were protective factors for PONV. Conclusions:Female, higher levels of serum alanine aminotransferase and C-reactive protein, general anesthesia combined with nerve block and intraoperative use of sufentanil are independent risk factors for PONV, while higher levels of follicle-stimulating hormone, intraoperative use of dexmedetomidine and administration of prophylactic antiemetic medication are protective factors for PONV among obese patients undergoing LSG.

In magnetic resonance examination,the interaction between implants and the radio frequency(RF)fields induces heating in human tissue and may cause tissue damage.To assess the RF-induced heating of implants,three steps should be executed,including electromagnetic model construction,electromagnetic model validation,and virtual human body simulations.The crucial step of assessing RF-induced heating involves the construction of a test environment for electromagnetic model validation.In this study,a hardware environment,comprised of a RF generation system,electromagnetic field measurement system,and a robotic arm positioning system,was established.Furthermore,an automated control software environment was developed using a Python-based software development platform to enable the creation of a high-precision automated integrated test environment.The results indicate that the electric field generated in this test environment aligns well with the simulated electric field,making it suitable for assessing the RF-induced heating effects of implants.

To explore the feasibility of CT-based image radiomics signature in identification of primary gastric lymphoma and Borrmann type IV gastric cancer.
 Methods: A retrospective analysis of 71 patients with primary gastric lymphoma or Borrmann type IV gastric cancer confirmed by pathology in our Hospital from January 2009 to April 2017 was performed. There were 28 patients with primary gastric lymphoma and 43 patients with Borrmann type IV gastric cancer. The feature extraction algorithm based on Matlab 2017a software was used to extract the features of image, and the logistic regression model was used to screen the features to establish radiomics signature. The CT sign diagnosis model was established, which included the periplasmic fat infiltration, softness of the stomach wall, abdominal lymph node and peripheral organ metastasis, ascites, mucosal white line sign and lesion thickness. The classification of the two models was evaluated by receiver operating characteristic curve.
 Results: A total of 32 3D features were extracted from CT image for each patients. Two features were found to be the most important differential diagnosis factors, and the radiomics signature was established. The CT sign diagnosis model consisted of ascites, periplasmic fat infiltration, stomach wall softness and mucosal white line. For the radiomics signature and the CT subjective finding model, the AUCs were 0.964 and 0.867 with the accuracy at 94.4% and 80.2%, the sensitivity at 93.0% and 74.4%, the specificity at 96.4% and 89.3%, respectively. After Delong test, the diagnostic efficacy of the radiomics signature was higher than the CT sign diagnosis model (P<0.001).
 Conclusion: CT-based image radiomics signature can accurately identify primary gastric lymphoma and Borrmann type IV gastric cancer, and can potentially provide important assistance in clinical diagnosis for the two diseases.
Humans ; Lymphoma, Non-Hodgkin ; Neoplasm Staging ; Retrospective Studies ; Stomach Neoplasms ; Tomography, X-Ray Computed