Objective To evaluate the molluscicidal effect of spraying 5% niclosamide ethanolamine salt granules with drones against of Oncomelania hupensis snails in snail habitats in marshland areas. Methods From September to October, 2022, marshlands were sampled from Dantu District, Zhenjiang City, Jiangsu Province as study areas, and assigned into four groups, of approximately 3 000 m² per group. In Group A, environmental cleaning was performed, followed by spraying 5% niclosamide ethanolamine salt granules with knapsack sprayers at a dose of 40 g/m², and in Group B, 5% niclosamide ethanolamine salt granules were sprayed with knapsack sprayers at a dose of 40 g/m² without environmental cleaning, while in Group C, environmental cleaning was conducted, followed by spraying 5% niclosamide ethanolamine salt granules with drones at a dose of 40 g/m², and in Group D, 5% niclosamide ethanolamine salt granules were sprayed with drones at a dose of 40 g/m² without environmental cleaning. Then, the study areas in each group were equally divided into six blocks, with Block 1 for baseline surveys and blocks 2 to 6 for snail surveys 1, 3, 5, 7, 14 days following chemical treatment. The mortality of snails and the reduction of the density of living snails were calculated. Results A total of 132 frames were surveyed during the period from September to October 2022, and the occurrence of frames with living snails and means density of living snails were 61.36% (81/132) and 1.58 snails/0.1 m², respectively. The overall mortality rates of snails were 43.02% (77/179), 38.69% (77/199), 47.78% (86/180) and 31.02% (58/187) 14 days following chemical treatment in groups A, B, C and D, respectively (χ² = 11.646, P < 0.05), and there were differences detected in the snail mortality between group A and D, and between groups C and D (both P_adjusted values < 0.05). The adjusted mortality rates of snails were 37.42%, 36.07%, 38.85% and 40.40% in groups A, B, C and D 14 days post-treatment, and the density of living snails decreased by 48.10%, 63.29%, 67.09% and 69.62% 14 days post-treatment relative to pre-treatment, respectively. Conclusions Chemical treatment with drones is feasible for O. hupensis snail control in marshland areas; however, the molluscicidal effect of spraying 5% niclosamide ethanolamine salt granules with drones is comparable to spraying chemicals manually in marshland areas regardless of environmental cleaning.

Objective:To evaluate inflammation early in the infarct zone and its dynamic changes after acute myocardial infarction (AMI) using 18F-FDG PET imaging, and analyze its relationship with left ventricular remodeling progression (LVRP). Methods:Sixteen Bama miniature pigs (4-6 months old, 8 females) were selected. AMI models were established by balloon occlusion of the left anterior descending artery. 18F-FDG PET imaging was performed before AMI and at days 1, 5, 8, and 14 post-AMI to evaluate the regional inflammation response. 18F-FDG SUV ratio (SUVR) and the percentage of uptake area of left ventricle (F-extent) in the infarct zone, and the SUVRs of the spleen and bone marrow, were measured. Echocardiography and 99Tc m-methoxyisobutylisonitrile(MIBI) SPECT myocardial perfusion imaging (MPI) were performed at the above time points and on day 28 post-AMI to assess left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), left ventricular ejection fraction (LVEF), and myocardial perfusion defect extent. The degree of LVRP at day 28 post-AMI was defined as ΔLVESV(%)=(LVESV AMI 28 d-LVESV AMI 1 d)/LVESV AMI 1 d×100%. Data were analyzed using repeated measures analysis of variance, Kruskal-Wallis rank sum test and Pearson correlation analysis. Results:Twelve pigs were successfully modeled and completed the study. Inflammation in the infarct zone persisted until day 14 post-AMI. The SUVR of the infarct zone pre-AMI and at days 1, 5, 8, and 14 post-AMI were 1.03±0.08, 3.49±1.06, 2.93±0.90, 2.38±0.76, and 1.63±0.62, respectively ( F=49.31, P<0.001). The F-extent values in the infarct zone pre-AMI and at days 1, 5, 8, and 14 post-AMI were 0, (40.08±12.46)%, (40.00±12.76)%, (31.08±12.82)%, and 16.50%(7.25%, 22.00%), respectively ( H=37.61, P=0.001). There were no significant differences in the SUVRs of bone marrow and spleen before and after AMI ( F values: 0.69 and 0.77, both P>0.05). At day 1 post-AMI, both SUVR and F-extent in the infarct zone were significantly correlated with LVRP ( r values: 0.82 and 0.70, P values: 0.001 and 0.035). Conclusions:18F-FDG PET imaging can be used to evaluate inflammation in the infarct area and its dynamic changes after AMI. Inflammation in the infarct area is severe at day 1, and then gradually decreases. The extent and severity of inflammation visible on 18F-FDG PET imaging 1 d after AMI are closely related to LVRP.

Objective:To analyze the relevant factors of knee joint cartilage injury in patients with anterior cruciate ligament rupture and construct a nomogram prediction model.Methods:The clinical data of 160 patients with unilateral anterior cruciate ligament rupture who underwent surgical treatment from March 2020 to February 2023 at Tianjin 272 Hospital and the Ninety-Eighty-Third Hospital of the People′s Liberation Army Joint Logistics Support Force were retrospectively analyzed. The patients were divided into injured group (97 cases) and non injured group (63 cases) based on whether there was concurrent knee joint cartilage injury. The optimal cutoff values of each factor were analyzed by the receiver operating characteristic (ROC) curve. Using a multiple Logistic regression model to analyze the independent risk factors of knee joint cartilage injury in patients with anterior cruciate ligament rupture; construct a nomogram model for predicting knee joint cartilage injury in patients with anterior cruciate ligament rupture. The internal validation of the nomogram model was validated using calibration curves, and the predictive performance of the nomogram model is evaluated using decision curves.Results:The body mass index (BMI), rate of meniscus injury, number of sprains and injury time in injured group were significantly higher than those in non injured group: (24.15 ± 2.52) kg/m 2 vs. (22.84 ± 3.13) kg/m 2, 77.32% (75/97) vs. 17.46% (11/63), (2.64 ± 0.90) times vs. (1.17 ± 0.64) times, (19.15 ± 3.77) d vs. (12.92 ± 3.14) d, and there were statistical differences ( P<0.05). The ROC curve analysis results show that the optimal cutoff values for BMI, number of sprains and injury time were 22.9 kg/m 2, once and 16 d, respectively. BMI (>22.9 kg/m 2), meniscus injury (with), number of sprains (>1 time) and injury time (>16 d) were independent risk factors for knee joint cartilage injury in patients with anterior cruciate ligament rupture, and they were also predictive factors for building nomogram model. The internal validation results show that the nomogram model predicts a C-index of 0.819 (95% CI 0.715 to 0.883) for patients with anterior cruciate ligament rupture complicated by knee cartilage injury. The consistency between the observed values and the predicted values was good. The nomogram model predicts a threshold of over 0.14 for knee joint cartilage injury in patients with anterior cruciate ligament rupture, and the clinical net benefits provided by the column chart model were higher than BMI, meniscus injury, number of sprains and injury time. Conclusions:This study constructs a nomogram model based on BMI, meniscus injury, number of sprains, and injury time to predict knee joint cartilage injury in patients with anterior cruciate ligament rupture. The model has good predictive value for knee joint cartilage injury in patients with anterior cruciate ligament rupture, and can be used to identify high-risk patients who are prone to knee joint cartilage injury in patients with anterior cruciate ligament rupture.

Objective:To investigate the cerebral blood flow autoregulation and cerebrovascular reactivity in patients with cerebral small vessel disease (SVD) and depression.Methods:Eighty patients who were treated in Dalian Municipal Central Hospital Affiliated with Dalian University of Technology from May 2020 to may 2021 were selected and divided into observation group and control group according to the existence of depression. Transcranial Doppler sonography combined with standing and lying position test, breath holding test and breath exchange test were used to observe the "w" wave slope, the "w" wave slope, the "w" wave velocity and the "w" wave velocity cerebral blood flow velocity difference, breath holding index, pulsation index (PI) change rate before and after breath holding, resistance index (RI) change rate before and after breath holding, mean velocity (Vm), PI, RI change rate before and after breath exchange. The correlation between depression score and blood flow index was analyzed.Results:There were 38 and 29 patients occurred "w" wave in the control group and observation group respectively, and the rate were 95.0% (38/40) and 72.5% (29/40) respectively ( χ2 = 7.44, P = 0.006). The slope of "w" descending branch of Vm and the slope of "w" ascending branch of Vm in the observation group were smaller than those of the control group respectively: (1.26 ± 0.23) cm/s vs. (2.45 ± 1.00) cm/s, (1.38 ± 0.71) cm/s vs. (2.56 ± 0.77) cm/s, the difference of which had statistical meanings ( P<0.05). The difference of cerebral blood flow velocity of Vm after different positions in the observation group was higher than that in the control group significantly: (7.20 ± 3.07) cm/s vs. (2.93 ± 1.46) cm/s ( P<0.05). The breath holding index PI change rate, RI change rate before and after breath holding test in the observation group were lower than those in the control group statistically: (0.88 ± 0.33)% vs. (1.49 ± 0.27)%, (14.42 ± 9.31)% vs. (21.51 ± 8.79)%, (11.07 ± 1.70)% vs. (15.31 ± 6.73)% ( P<0.05). The change rates of Vm, PI and RI in the observation group before and after ventilation were lower than those in the control group ( P<0.05). There was a negative correlation between depression score and "w" wave slope (Vm), breath holding index, Vm change rate before and after ventilation, and a positive correlation between depression score and cerebral blood flow velocity difference (Vm) in supine and upright position with statistical meanings ( P<0.05). Conclusions:Depression could lead to the decline of cerebral blood flow autoregulation and cerebrovascular reactivity in patients with SVD. And with the aggravation of depression, the decline of cerebral blood flow autoregulation and cerebrovascular reactivity in patients with SVD is more serious.

Objective To explore the clinical value of transient elastography(TE)combined with serological markers to distinguish early hepatic fibrosis of chronic hepatitis B(CHB).Methods Clinical data of 176 CHB patients admitted to Hangzhou Xixi Hospital Affiliated to Zhejiang Chinese Medical University from January 2020 to November 2022 were retrospectively analyzed,and the included patients were divided into training group(n=123)and test group(n=53).Based on the data of the training group,the clinical features were screened by the least absolute shrinkage and selection operator algorithm,and the early liver fibrosis model was constructed by multivariate Logistic regression.The performance of the model was evaluated using test group data and receiver operating characteristic(ROC)curve.Finally,the stability and clinical efficacy of the model were evaluated using calibration curve and decision curve,respectively.Results The prediction model was constructed based on liver stiffness measurement,fat attenuation index,red blood cells and glutamic-oxaloacetic transaminase.The area under the curve of the model in training group and test group was 0.824 and 0.819,the sensitivity was 82.1%and 80.6%,and the specificity was 71.8%and 68.8%,respectively.The calibration curve showed good calibration performance in training group and test group,and the decision curve showed good clinical efficacy of the model in training group and test group.Conclusion A hybrid model of TE technology combined with serological markers provides a potential new way to identify early liver fibrosis in patients with CHB,which could aid in clinical monitoring and treatment.

Objective:To build a predictive model for symptomatic radiation pneumonitis(RP) using the pretreatment CT radiomics features, clinical and dosimetric data of lung cancer patients by using machine learning method.Methods:A retrospective analysis of 103 lung cancer patients who underwent radiotherapy in the Affiliated Hospital of Jiangnan University from November 2018 to April 2020 was performed. Total normal lung tissues were segmented as an interested volume in pretreatment CT images, and then 250 radiomics features were extracted. The correlations of RP and clinical or dosimetric features were firstly investigated with univariate analysis. Then all clinical data, dosimetric data and CT radiomics features were collected and considered as predictors for modeling of RP grade ≥ 2. Features were selected through LASSO machine learning method, and the predictive model was built. Finally, nomogram for risk of RP were obtained according to the selected features.Results:The result of univariate analysis showed that symptomatic RP was significantly correlated with lung dosimetric parameters including mean lung dose (MLD), V20 Gy and V30 Gy( t=2.20, 2.34 and 2.93, P<0.05). Four features, including lung dose volume percentage V30 Gyand three radiomics features, entropy feature of GLCM, mean and median feature of wavelet histogram were selected among all clinical, dosimetric features and radiomics features. AUC of the predicted model obtained from selected features reached 0.757. For convenient clinical use, the nomogram were obtained, and then personalized RP risk prediction and early intervention could be performed according to this nomogram. Conclusions:Pretreatment CT radiomics and dosimetric features can be used in predicting symptomatic RP, which will be useful for advanced intervention treatment.

Objective:To evaluate the left ventricular diastolic dyssynchrony (LVDD) and its influencing factors early after acute myocardial infarction (AMI) using phase analysis of SPECT gated myocardial perfusion imaging (GMPI).Methods:Bama miniature swines ( n=16) were subjected to establish AMI models. GMPI was performed before and 1 d after AMI to obtain the extent of myocardial perfusion defect (Extent, %) and left ventricular systolic dyssynchrony (LVSD)/LVDD parameters, namely the phase histogram bandwidth (PBW) and phase standard deviation (PSD). Meanwhile, left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), left ventricular ejection fraction (LVEF), and the ratio of early to late peak mitral diastolic flow (E/A) were obtained by echocardiography. Independent-sample t test, paired t test and Pearson correlation analysis were used to analyze the data. Results:Sixteen AMI swines were successfully created. Compared to baseline, Extent, LVEDV and LVESV significantly increased on 1 d after AMI ( t values: -11.14, -4.55, -6.12, all P<0.001), while LVEF and E/A significantly decreased ( t values: 10.16, 2.18, P<0.001, P=0.046). GMPI showed that the LVDD parameters PBW and PSD increased significantly on 1 d after AMI when compared to those at baseline((142.25±72.06)° vs (33.06±8.98)°, (56.15±26.71)° vs (12.51±5.13)°; t values: -6.11, -6.60, both P<0.001). There were significant differences between LVSD parameters and LVDD parameters (PBW: (109.06±62.40)° vs (142.25±72.06)°, PSD: (44.40±25.61)° vs (56.15±26.71)°; t values: -2.73, -2.20, P values: 0.016, 0.044). LVDD parameters PBW, PSD were negatively correlated with E/A after AMI ( r values: -0.569, -0.566, P values: 0.021, 0.022), and positively correlated with the Extent ( r values: 0.717, 0.634, P values: 0.002, 0.008). The phase analysis of SPECT GMPI to evaluate LVDD showed good intra-observer and inter-observe reproducibility (intraclass correlation coefficient (ICC): 0.953-0.984, all P<0.001). Conclusions:LVDD occurs early on 1 d after AMI, and can reflect left ventricular diastolic dysfunction. The Extent is correlated with LVDD significantly. Phase analysis of SPECT GMPI is an accurate method to evaluate LVDD and left ventricular diastolic function.

Objective:To investigate the predictive value of 18F-fluorodeoxyglucose (FDG) PET/CT metabolic parameters for occult lymph node metastasis (OLM) in non-small cell lung cancer (NSCLC). Methods:A total of 183 patients (72 males, 111 females; age (61.5±8.4) years) who underwent 18F-FDG PET/CT and preoperatively diagnosed with clinical N0 stage (cN0) in Third Affiliated Hospital of Soochow University from January 2013 to December 2018 were retrospectively enrolled. All patients underwent anatomical pulmonary resection with systematic lymph node dissections within 3 weeks after 18F-FDG PET/CT examinations. According to the presence or absence of lymph node metastasis, patients were divided into OLM positive (OLM+ ) group and OLM negative (OLM-) group. Parameters of primary lesions, such as the maximum diameter (D max), tumor sites, morphological features, maximum standardized uptake value (SUV max), mean standardized uptake value (SUV mean), metabolic total volume (MTV), total lesion glycolysis (TLG), tumor SUV max to liver SUV mean (TLR max), tumor TLG to liver SUV mean (TLR TLG) were analyzed. Mann-Whitney U test and χ2 test were used to compare the parameters between groups. Multivariable logistic regression was used to analyze the independent risk factors for OLM. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic value of different parameters. Results:Among 183 patients, 25 (13.7%, 25/183) of them were diagnosed as OLM. In OLM+ group, 46 lymph nodes were pathologically positive for metastasis, including 15 N1 disease and 31 N2 disease. D max (2.9(2.3, 3.7) vs 2.3(1.7, 2.8) cm), lobulation ((76.0%(19/25) vs 37.3%(59/158)), SUV max (11.1(7.9, 17.7) vs 4.7(2.3, 9.2)), TLG (41.5(10.2, 91.1) vs 15.6(6.5, 23.8) ml), TLR max (4.7(3.5, 7.6) vs 2.1(0.9, 4.0)) and TLR TLG (18.1(5.0, 44.3) vs 6.1(3.0, 11.4) ml) of the primary lesions in OLM+ group were significantly higher than those in OLM-group ( z values: from -4.709 to -3.247, χ2=13.190, all P<0.05). Multivariable logistic regression analysis showed that TLR max (odds ratio ( OR)=15.145, 95% CI: 3.381-67.830, P<0.001) and D max ( OR=3.220, 95% CI: 1.192-8.701, P=0.021) were independent risk factors for OLM. TLR max yielded the highest area under curve (AUC; AUC=0.794) with the threshold of 3.12, and the sensitivity, specificity, accuracy, positive predictive value and negative predictive value for predicting OLM were 92.0%(23/25), 63.3%(100/158), 67.2%(123/183), 28.4%(23/81) and 98.0%(100/102), respectively. Conclusions:TLR max of tumor is the independent risk factor for OLM in NSCLC patients. TLR max can sensitively predict OLM preoperatively in patients with NSCLC.

Objective:To investigate the diagnostic value of SpyGlass endoscopy system (short for SpyGlass) for indeterminate bile duct stricture.Methods:Data of patients who underwent SpyGlass examination for indeterminate bile duct stricture at Hangzhou First People′s Hospital from September 2012 to August 2017 were reviewed. The diagnostic value of SpyGlass for indeterminate bile duct stricture was analyzed.Results:A total of 88 patients with indeterminate biliary stricture were diagnosed with SpyGlass. The procedure success rate was 97.7% (86/88). The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of SpyGlass for indeterminate bile duct stricture were 98.1%(52/53), 96.9% (31/32), 97.6% (83/85), 98.1% (52/53)and 96.9% (31/32), respectively. Three patients (3.5%, 3/86) had postoperative complications and were cured by conservative treatment.Conclusion:SpyGlass is safe and effective for indeterminate biliary stricture with high sensitivity and accuracy and low incidence of complications.