Objective:To investigate the application value of dual-energy computer tomo-graphy (CT) multi-parameter imaging in predicting the pathological grade of pancreatic ductal adeno-carcinoma (PDAC).Methods:The retrospective cohort study was conducted. The clinicopatholo-gical data of 147 patients with PDAC who were admitted to The Fifth Affiliated Hospital of Wenzhou Medical University from January 2017 to August 2023 were collected. There were 102 males and 45 females, aged (59±10)years. All patients underwent preoperative dual-energy CT examination and postoperative histopathological examination. The 147 patients were divided into a training set of 103 cases and a test set of 44 cases by stratified random sampling at a ratio of 7∶3. The training set was used to construct the prediction model, and the test set was used to verify the effectiveness of prediction model. Observation indicators: (1) analysis of factors affecting the pathological grade of PDAC patients in the training set; (2) construction and evaluation of the fusion prediction model for pathological grade of PDAC. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Univariate and multivariate analyses were conducted using the Logistic regression model. The performance of the model was evaluated by receiver operating characteristic (ROC) curve, and the area under the curve (AUC), accuracy, sensitivity and specificity were calculated. The Delong test was used to analyze the effec-tiveness of model. The calibration curve and decision curve of Hosmer-Lemeshow test were used to evaluate the consistency and clinical application value of the nomogram, respectively. Results:(1) Analysis of factors affecting the pathological grade of PDAC patients in the training set. Results of multivariate analysis showed that tumor cystic necrosis, vascular invasion, standardized iodine concentration (NIC) in venous phase, effective atomic number (Zeff) in venous phase, and energy spectrum curve slope (λ HU) in venous phase were all independent factors affecting the pathological grade of PDAC patients in the training set ( odds ratio=4.326, 3.887, 4.155, 5.389, 3.164, 95% confidence interval as 1.167-16.033, 1.111-13.592, 1.707-10.113, 1.284-22.613, 1.247-8.028, P<0.05). (2) Construction and evaluation of the fusion prediction model for pathological grade of PDAC. Accor-ding to the results of multivariate analysis, tumor cystic necrosis, vascular invasion, NIC in venous phase, Zeff in venous phase and λ HU in venous phase were all included to construct the clinical-imaging fusion prediction nomogram model. The AUC, accuracy, sensitivity and specificity of the fusion prediction model in the training set were 0.938 (95% confidence interval as 0.896-0.981), 87.38%, 89.74% and 85.94%, respectively. The above indicators of the fusion prediction model in the test set were 0.893 (95% confidence interval as 0.802-0.985), 84.09%, 82.35% and 85.19%, respectively. Results of Delong test showed that there was no significant difference in AUC between the training set and the test set ( Z=0.343, P>0.05). Results of Hosmer-Lemeshow test showed that the fusion prediction model had a good fit in the training set and the test set ( χ2=3.042, 7.545, P>0.05). Results of calibration curve showed that the predictive ability of the fusion prediction model was good. Conclusions:Multiple parameters in venous phase of the dual-energy CT can be used as imaging markers for preoperative evaluation of the pathological grade of patients with PDAC. Establishing a clinical-imaging fusion prediction model can effectively predict the pathological grade of PDAC.

Objective:To investigate the application value of dual-energy computer tomo-graphy (CT) multi-parameter imaging in predicting the pathological grade of pancreatic ductal adeno-carcinoma (PDAC).Methods:The retrospective cohort study was conducted. The clinicopatholo-gical data of 147 patients with PDAC who were admitted to The Fifth Affiliated Hospital of Wenzhou Medical University from January 2017 to August 2023 were collected. There were 102 males and 45 females, aged (59±10)years. All patients underwent preoperative dual-energy CT examination and postoperative histopathological examination. The 147 patients were divided into a training set of 103 cases and a test set of 44 cases by stratified random sampling at a ratio of 7∶3. The training set was used to construct the prediction model, and the test set was used to verify the effectiveness of prediction model. Observation indicators: (1) analysis of factors affecting the pathological grade of PDAC patients in the training set; (2) construction and evaluation of the fusion prediction model for pathological grade of PDAC. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Univariate and multivariate analyses were conducted using the Logistic regression model. The performance of the model was evaluated by receiver operating characteristic (ROC) curve, and the area under the curve (AUC), accuracy, sensitivity and specificity were calculated. The Delong test was used to analyze the effec-tiveness of model. The calibration curve and decision curve of Hosmer-Lemeshow test were used to evaluate the consistency and clinical application value of the nomogram, respectively. Results:(1) Analysis of factors affecting the pathological grade of PDAC patients in the training set. Results of multivariate analysis showed that tumor cystic necrosis, vascular invasion, standardized iodine concentration (NIC) in venous phase, effective atomic number (Zeff) in venous phase, and energy spectrum curve slope (λ HU) in venous phase were all independent factors affecting the pathological grade of PDAC patients in the training set ( odds ratio=4.326, 3.887, 4.155, 5.389, 3.164, 95% confidence interval as 1.167-16.033, 1.111-13.592, 1.707-10.113, 1.284-22.613, 1.247-8.028, P<0.05). (2) Construction and evaluation of the fusion prediction model for pathological grade of PDAC. Accor-ding to the results of multivariate analysis, tumor cystic necrosis, vascular invasion, NIC in venous phase, Zeff in venous phase and λ HU in venous phase were all included to construct the clinical-imaging fusion prediction nomogram model. The AUC, accuracy, sensitivity and specificity of the fusion prediction model in the training set were 0.938 (95% confidence interval as 0.896-0.981), 87.38%, 89.74% and 85.94%, respectively. The above indicators of the fusion prediction model in the test set were 0.893 (95% confidence interval as 0.802-0.985), 84.09%, 82.35% and 85.19%, respectively. Results of Delong test showed that there was no significant difference in AUC between the training set and the test set ( Z=0.343, P>0.05). Results of Hosmer-Lemeshow test showed that the fusion prediction model had a good fit in the training set and the test set ( χ2=3.042, 7.545, P>0.05). Results of calibration curve showed that the predictive ability of the fusion prediction model was good. Conclusions:Multiple parameters in venous phase of the dual-energy CT can be used as imaging markers for preoperative evaluation of the pathological grade of patients with PDAC. Establishing a clinical-imaging fusion prediction model can effectively predict the pathological grade of PDAC.

Objective:To calculate the yield and relative biological effectiveness (RBE) of proton radiation-induced DNA damage to C. elegans germ cells using the Geant4-DNA toolkit in order to explore the biological effects of proton radiation on Caenorhabditis elegans. Methods:A DNA model for a 20-μm-diameter C. elegans germ cell was built using Hilbert curves within the Geant4-DNA toolkit. By simulating DNA damage induced by proton radiation at varying energy levels (100, 50, 20, 5 and 2 MeV), the correlations between DNA double-strand break yields (YDSBs) and different parameters such as physics constructors, energy threshold (ET) models, and free radical scavenging distances were explored, and the result were compared with biological experimental data (20 MeV proton). The DNA damage types from varying energy levels of protons were defined, and the relative biological effectiveness of DNA double-strand breaks (RBE DSB) values were calculated using the RBE DSB mathematical model. Results:The analysis of proton radiation-induced DNA damage under varying physics constructors, ET models, and free radical scavenging distances indicated that the proton radiation-induced YDSBs were the lowest when physics constructor 2 was utilized, while the YDSBs under physics constructors 4 and 6 differed slightly. The proton radiation-induced YDSBs gradually decreased with a rise in both the single ET and free radical scavenging distance. The comparison revealed that the simulation result were the closest to biological experimental data under physics constructor 4, a single ET model of 21.25 eV, and a radical scavenging distance of 9 nm, with disparities approximating 8.3%. Calculated RBE DSB values for protons spanned 1.02 to 1.85, with a lower proton energy corresponding to higher RBE DSB values. Conclusions:Proton radiation-induced YDSBs in C. elegans derived using Geant4-DNA simulations align well with relevant assessments using molecular biology. This study provides a vital means for understanding and predicting the biological effects stemming from proton radiation

Brain metastasis is a common and serious complication of breast cancer, which is commonly associated with poor survival and prognosis. In particular, the treatment of brain metastasis from triple-negative breast cancer (BM-TNBC) has to face the distinct therapeutic challenges from tumor heterogeneity, circulating tumor cells (CTCs), blood-brain barrier (BBB) and blood-tumor barrier (BTB), which is in unmet clinical needs. Herein, combining with the advantages of synthetic and natural targeting moieties, we develop a "Y-shaped" peptide pVAP-decorated platelet-hybrid liposome drug delivery system to address the all-stage targeted drug delivery for the whole progression of BM-TNBC. Inherited from the activated platelet, the hybrid liposomes still retain the native affinity toward CTCs. Further, the peptide-mediated targeting to breast cancer cells and transport across BBB/BTB are demonstrated in vitro and in vivo. The resultant delivery platform significantly improves the drug accumulation both in orthotopic breast tumors and brain metastatic lesions, and eventually exhibits an outperformance in the inhibition of BM-TNBC compared with the free drug. Overall, this work provides a promising prospect for the comprehensive treatment of BM-TNBC, which could be generalized to other cell types or used in imaging platforms in the future.

Ninety eight patients with chronic hepatitis B (CHB) admitted to Department of Infectious Diseases, Yongkang First People′s Hospital from January 2017 to June 2018 were randomly divided into two groups. On the basis of entecavir+dicyclool treatment, patients in control group (48 cases) received health education and weekly telephone follow-up from the nurses, while patients in intervention group (50 cases) received health guidance from doctors and psychological counseling and communication from the nurses. All patients were followed up for 8 weeks. The illness perception, negative emotions, quality of life, and medication compliance were evaluated with the Revised Illness Perception Questionnaire (IPQ-R), Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), SF-36 and Morisky Medication Adherence Scale (MMAS-8) in two groups, respectively. The results showed that, after 8 weeks, the disease identity, serious consequences, treatment control and disease correlation; SAS and SDS scores; physiological function, emotional function, energy and social function were significantly improved in control group( t=2.30, 3.45, 2.35, 2.23, 5.04, 6.03, 2.03, 2.79, 2.02, 2.34, all P<0.05). All dimension of illness perception; SAS and SDS scores; physiological function, physiological function, emotional function, energy, mental health, social function and general health were also improved significantly in intervention group ( t=4.06, 5.44, 6.91, 8.53, 5.65, 8.77, 7.25, 6.06; 12.71, 11.91, 2.27, 2.60, 4.48, 2.82, 3.65, 3.461, 2.82,all P<0.05). And the personal control, disease correlation and emotional expression; SAS and SDS scores; emotional function and mental health in intervention group were better than those in control group ( t=1.49, 2.74, 2.60, 5.02, 5.18, 5.56, 13.72, all P<0.05). In addition, the medication compliance of patients in both groups was significant improved ( Z=5.56, 13.72, all P<0.01), and the improvement was more marked in the intervention group ( Z=3.22, P<0.01). The study indicates that the comprehensive psychotherapy can more significantly improve the degree of illness perception, negative emotions, quality of life and medication compliance in patients with chronic hepatitis B.

Objective To explore the value of pretargeting technology in vitro MRI of L5 peptide guided streptavidin-conjugated and polyethylene glycol modification protected ultra-small superparamagnetic iron oxide(SA-PEG-USPIO) to hepatocellular carcinoma(HCC) via glypican-3(GPC3) receptor.Methods Direct immumofluorescence assay with carboxyfluorescein(FAM) labeled L5 and competitive inhibition was performed in HepG2 and HL-7702 cells.Imaging was obtained from fluorescent microscope.Immunoassay fluorescence images were carried out to determine the expression of GPC3 in HepG2 cell.PEG-USPIO conjugated with streptavidin was made by carbodiimide reaction,and the hydrodynamic diameters,Zeta potential and magnetic relaxivity of SA-PEG-USPIO and PEG-USPIO were measured.HL7702 cells were used for evaluate cells viability of SA-PEG-USPIO and PEG-USPIO.HepG2 and HL-7702 cells were used as experimental and control group respectively.Each of the two cell lines were further divided into three groups:L5-BT united SA-PEG-USPIO group,SA-PEG-USPIO group and control group.Prussian blue staining and MRI was preformed to observe the targeting efficacy of SA-PEG-USPIO respectively,and normalized T2 signal was recorded.The significant changes of normalized T2 signal intensity among groups was deterumine by using One-way analysis of variance.Results There were much more fluorescences on the membrane and cytoplasm of HepG2 cells than those on HL-7702 cells and cells of competition group.And indirect immunofluorescence images show the obvious expression of GPC3 in HepG2 cell.The SA-PEG-USPIO and PEG-USPIO nanoparticles had hydrodynamic diameters of (22.73 ± 3.31) and (35.97±5.19)nm,Zeta potential of them were (4.22±0.53) and (-7.91± 1.22)mV and magnetic relaxivity were 0.139 4× 103 and 0.103 9 × 103 mM-1s1.Although the highest concentration of SA-PEG-USPIO and PEG-USPIO was 2.4 mmol/L,cells viability was greater than 80％.The most iron particle was observed in L5-BT united SA-PEG-USPIO group of HepG2 cells.In vitro MR,the normalized T2 signal intensity of HepG2 cells in L5-BT united SA-PEG-USPIO group,SA-PEG-USPIO group and control group were 39±7,77 ± 12 and 93 ± 4.There was significant difference among those three groups (F=23.96,P＜0.01).The normalized T2 signal intensity of HL-7702 cells in each of three groups were 69± 11,78±8 and 95±5.There was no significant difference among those three groups (F=2.86,P＞0.05).Conclusion By the pretargeting method,L5 peptide guided SA-PEG-USPIO has effective targeting ability to HepG2 cells in vitro.

Objective To evaluate the effect of shielding at the outside of radiation field by measuring the dose absorbed by the tissue outside the field in radiation therapy.Methods The dose absorbed by the tissue at 1cm offset the field was measured ofter setting radiation field and dose.The dose was measured again with shielding at the outside of radiation field in same field size and with the same prescription dose for comparison.Results The doses with or without shielding had distinct differences(P

Objective To investigate the antiradiation effect of sinapine in Drosophita. Method Sinapine in cauliflower was quantified by HPLC, and added in Drosophila culture substrate. We observed the effect of sinapine from cauliflower on reproductive rate, sex ratio, mutation rate of Drosophila after UV radiation. Results Sinapine in cauliflower contained 4.429 ?g/ml thiocyanate. After adding sinapine thiocyanate 0.29075 mg/ml to the media,the reproductive rate of UV irradiated Drosophila culture increased 27.083%, the sex ratio (female/male) and mutation rate declined 23.457% and 97.202% respectively, and the growth cycle became normal again. Conclusion Cauliflower’s sinapine thiocynate has quite favorable anti-radiation function.