Objective To explore the feasibility of radiomics nomogram based on magnetic resonance diffusion weighted imaging for predicting the expression of Ki-67 in breast cancer.Methods A retrospective study was conducted on patients with breast cancer confirmed by surgery and pathology in the Second Affiliated Hospital of Guangdong Medical University.All patients were detected by Ki-67 expression staining,and then divided into group A(n=28,low-level expression of Ki-67)and group B(n=73,high-level expression of Ki-67).The apparent diffusion coefficient(ADC)graph was generated from diffusion weighted images,and the two groups were compared for radiomics features of ADC images and clinical data.The expression level of Ki-67 in breast cancer was predicted using the features of LASSO after dimensionality reduction,and a nomogram model was established,whose diagnostic efficiency was analyzed with receiver operating characteristic curve.Results No significant difference was observed in ADC value,age,carbohydrate antigen 199,carbohydrate antigen 153,carbohydrate antigen 125 and carcinoembryonic antigen between two groups(P>0.05).LASSO regression identified two radiomics features as predictors for the expression level of Ki-67 in breast cancer.The best tuning Lambda of LASSO was-0.125 690 135 478 682,and the included radiomics features for nomogram establishment were MinIntensity and Quantile95.The established nomogram had an area under ROC curve of 0.917,achieving a sensitivity of 91.7%and a specificity of 83.3%.Conclusion The expression of Ki-67 in breast cancer can be predicted based on the radiomics features of ADC images,which can provide a noninvasive detection method for evaluating the proliferation degree and treatment prognosis of breast cancer.

Objective To investigate the association between single nucleotide polymorphisms(SNP)rs57095329 and rs6864584 of miR-146a gene and cervical intraepithelial neoplasia(CIN).Methods A total of 96 patients diagnosed with CIN were randomly collected as the CIN group,and 225 healthy individuals examined during the same period were selected as the control group using SPSS software.Genotyping of the above SNP loci was performed using the TaqMan probe method,and their correlation with CIN was analyzed.Results The allele and genotype distribution of rs57095329 showed a statistically significant differences compared to the control group,with the frequency of the allele A in the CIN group significantly lower than that in the control group(P<0.001;OR=0.48,95%CI:0.32～0.70).In the dominant model,individuals carrying the G allele(A/G-G/G)had a significantly increased risk of CIN(P<0.001;OR=2.67,95%CI:1.64～4.37).In contrast,no correlation was found between the rs6864584 and the risk of CIN.Conclusion The A allele of the miR-146a gene at the rs57095329 locus may be a protective factor for CIN.

Targeting T-cell is a strategy to control allogeneic response disorders, such as acute graft-versus-host disease (GVHD) which is an important cause of therapy-failure after allogeneic hematopoietic cell transplants. Free fatty acid receptor-4 (FFAR4) is a regulator of obesity but its role in T-cell and allogeneic reactions is unknown. Here, we found knockout of Ffar4 in donor T-cells in a mouse allograft model increased acute GVHD whereas the natural FFAR4 ligands and the synthetic FFAR4 agonists decreased it. FFAR4 agonist-mediated anti-acute GVHD effects depended on FFAR4-expression in donor T-cells. The FFAR4 agonist CpdA suppressed donor T-cell-mediated alloreaction by activating an aryl hydrocarbon receptor (AhR) pathway. CpdA recruited β-Arrestin2 to FFAR4 which facilitated nuclear translocation of AhR and upregulation of IL-22. The CpdA-mediated anti-acute GVHD effect was absent in mice receiving Ahr-knockout or Il22-knockout T-cells. Recipient-expressing Ffar4 was also important for the anti-acute GVHD effect of CpdA which inhibited activation of antigen presenting cells. Importantly, CpdA decreased acute GVHD in obese mice, an effect also depended on Ffar4-expression in donor T-cells and recipients. Our study shows the immunoregulatory effect of FFAR4 in T-cell, and targeting FFAR4 might be a relative option for controlling allogeneic reactions in obese patients.

Objective:To illustrate the clinical modeling and commissioning results of Monte Carlo dose calculation algorithm in RayStation treatment planning system (TPS) for a domestically developed synchrotron-based spot scanning proton therapy system (SAPT-PS-01).Methods:The proton pencil beam model in RayStation required integral depth dose curves, spot profiles and absolute dose as the input beam data. It was not necessary to collect beam parameters with range shifter. The integral depth dose curves of a single spot were measured by an 8 cm parallel ion chamber. A 2-dimensional scintillation detector was used to measure the in-air spot profile at 5 different depths including the isocenter plane. The absolute dose was calibrated by a 0.25 cm parallel ion chamber under the single energy layer irradiation with a field size of 10 cm × 10 cm. After modeling, the results of the beam model and the Monte Carlo dose calculation algorithm were validated from the range, spot profile, point-dose in a spread-out Bragg peak, planar dose in a clinical plan, point dose in an end-to-end test.Results:For the 94 energy layers, the maximum deviation between the calculated and measured range was 0.03 cm. The maximum difference between the calculated and measured in-air spot sigma was 0.015 cm, and the deviation of in-water spot sigma was measured within ±15%. Compared with the measured values, the calculated dose deviation of 138 measured points in the spread-out Bragg peak was within 3%. For the planar dose verification of clinical plans, the TPS-calculated dose distribution of 285 planes agreed well with the measurement with a minimum gamma-passing rate of 90%, and the gamma passing rate of almost 95% of planes were greater than 95%. The point dose measurements for 8 beams in the end-to-end tests under 4 clinical scenarios were within 5%.Conclusions:The acceptable beam model validation results and successful end-to-end test confirm that the Monte Carlo dose calculation algorithm modeling for the synchrotron-based spot scanning proton therapy system is accurate, which is applicable for the design of patient treatment plan.

Objective To explore the feasibility of radiomics nomogram based on magnetic resonance diffusion weighted imaging for predicting the expression of Ki-67 in breast cancer.Methods A retrospective study was conducted on patients with breast cancer confirmed by surgery and pathology in the Second Affiliated Hospital of Guangdong Medical University.All patients were detected by Ki-67 expression staining,and then divided into group A(n=28,low-level expression of Ki-67)and group B(n=73,high-level expression of Ki-67).The apparent diffusion coefficient(ADC)graph was generated from diffusion weighted images,and the two groups were compared for radiomics features of ADC images and clinical data.The expression level of Ki-67 in breast cancer was predicted using the features of LASSO after dimensionality reduction,and a nomogram model was established,whose diagnostic efficiency was analyzed with receiver operating characteristic curve.Results No significant difference was observed in ADC value,age,carbohydrate antigen 199,carbohydrate antigen 153,carbohydrate antigen 125 and carcinoembryonic antigen between two groups(P>0.05).LASSO regression identified two radiomics features as predictors for the expression level of Ki-67 in breast cancer.The best tuning Lambda of LASSO was-0.125 690 135 478 682,and the included radiomics features for nomogram establishment were MinIntensity and Quantile95.The established nomogram had an area under ROC curve of 0.917,achieving a sensitivity of 91.7%and a specificity of 83.3%.Conclusion The expression of Ki-67 in breast cancer can be predicted based on the radiomics features of ADC images,which can provide a noninvasive detection method for evaluating the proliferation degree and treatment prognosis of breast cancer.

Objective:To illustrate the clinical modeling and commissioning results of Monte Carlo dose calculation algorithm in RayStation treatment planning system (TPS) for a domestically developed synchrotron-based spot scanning proton therapy system (SAPT-PS-01).Methods:The proton pencil beam model in RayStation required integral depth dose curves, spot profiles and absolute dose as the input beam data. It was not necessary to collect beam parameters with range shifter. The integral depth dose curves of a single spot were measured by an 8 cm parallel ion chamber. A 2-dimensional scintillation detector was used to measure the in-air spot profile at 5 different depths including the isocenter plane. The absolute dose was calibrated by a 0.25 cm parallel ion chamber under the single energy layer irradiation with a field size of 10 cm × 10 cm. After modeling, the results of the beam model and the Monte Carlo dose calculation algorithm were validated from the range, spot profile, point-dose in a spread-out Bragg peak, planar dose in a clinical plan, point dose in an end-to-end test.Results:For the 94 energy layers, the maximum deviation between the calculated and measured range was 0.03 cm. The maximum difference between the calculated and measured in-air spot sigma was 0.015 cm, and the deviation of in-water spot sigma was measured within ±15%. Compared with the measured values, the calculated dose deviation of 138 measured points in the spread-out Bragg peak was within 3%. For the planar dose verification of clinical plans, the TPS-calculated dose distribution of 285 planes agreed well with the measurement with a minimum gamma-passing rate of 90%, and the gamma passing rate of almost 95% of planes were greater than 95%. The point dose measurements for 8 beams in the end-to-end tests under 4 clinical scenarios were within 5%.Conclusions:The acceptable beam model validation results and successful end-to-end test confirm that the Monte Carlo dose calculation algorithm modeling for the synchrotron-based spot scanning proton therapy system is accurate, which is applicable for the design of patient treatment plan.

OBJECTIVE To provide reference for improving the pre-prescription review system and reducing the occurrence of medication error by analyzing the drug-related problems(DRPs)in the pre-prescription review orders of pediatric outpatient clinics using the Pharmaceutical Care Network Europe(PCNE)classification system.METHODS The data of pre-prescription review orders were retrospectively collected from outpatient department of Shanghai Children's Medical Center,Shanghai Jiao Tong University School of Medicine from July 2022 to June 2023;DRPs in the pre-prescription review orders were classified and summarized by using the PCNE classification system(version 9.1),and then analyzed in terms of types and causes of issues,and the acceptance of interventions.RESULTS A total of 66 017 DRPs orders were included,involving 41 165 patients.The proportion of DRPs orders in children aged ≤5 years old was the highest(58.25％),followed by children aged 6-12 years old(33.52％);the department with the highest proportion of DRPs was internal medicine of pediatrics department(71.41％);the department with the highest incidence of DRPs was thoracic surgery department(9.73％);top three drug categories of DRPs orders were systemic anti-infective drugs(25.26％),Chinese patent medicines(24.74％)and respiratory drugs(22.38％).Referring to PCNE classification system,the types of DRPs mainly focused on treatment safety(64.86％);the reasons of DRPs orders mainly focused on dose selection(82.09％),of which 41.26％were due to excessive drug dosage;92.13％of interventions could be accepted and fully executed by doctors.CONCLUSIONS DRPs orders identified by the pre-prescription review system can be effectively analyzed by using PCNE classification system.Pharmacists should focus on medication use in children aged＜5 years old,update and develop personalized prescription review rules timely,and meet the rational needs of clinical medication for children.

To analyze the disease group structure and its trends in key departments of large public hospitals using diagnosis related group (DRG) data, explore the key points of intervention and optimization of disease groups in departments, and further promote the rational allocation of department resources.

Objective To investigate the correlation between tongue and pulse indicators and the out-come of live birth in patients undergoing frozen-thawed embryo transfer(FET),as well as the association between these indicators and patients'endocrine parameters. Methods This study was conducted at Reproductive Medicine Center,Shuguang Hospital Af-filiated to Shanghai University of Traditional Chinese Medicine,Shanghai,China,from March 8,2021 to January 5,2022.Patients undergoing FET were divided into live birth and non-live birth groups according to their live birth outcome.The differences between the endocrine pa-rameters[basic follicle stimulating hormone(b FSH),basic luteinizing hormone(b LH),basic estradiol(b E2),basic progesterone(b P),basal endometrial thickness,follicle stimulating hormone(FSH)on endometrial transition day,luteinizing hormone(LH)on endometrial transition day,estradiol(E2)on endometrial transition day,progesterone(P)on endometrial transition day,and endometrial thickness on endometrial transition day]and the tongue and pulse indicators[tongue body(TB)-L,TB-a,TB-b,tongue coating(TC)-L,TC-a,TC-b,perAll,perPart,h1,h4,h5,t1,h1/t1,and h4/h1]of patients in the two groups were analyzed,with the correlation between these variables analyzed as well using Spearman's correlation coefficient.Multivariate logistic regression was employed to identify the influential factors in the live birth prediction models across various datasets,including Model 1 consisting of endocrine indica-tors only,Model 2 solely consisting of tongue and pulse indicators,and Model 3 consisting of both tongue,pulse,and endocrine indicators,as well as to evaluate efficacy of the models de-rived from different datasets. Results This study included 78 patients in live birth group and 144 patients in non-live birth group.Compared with non-live birth group,live birth group exhibited higher levels of TB-L(P=0.01)and TB-a(P=0.04),while demonstrated lower levels of b FSH(P=0.01),perAll(P=0.04),and h4/h1(P=0.03).The Spearman's correlation coefficient analysis revealed statisti-cally significant correlation(P<0.05)between TB-L,TB-b,TC-L,TC-b,perAll,perPart,h4,h5,t1,h1/t1 and b FSH,b LH,basal endometrial thickness,LH on endometrial transition day,E2 on endometrial transition day,P on endometrial transition day,and endometrial thickness on endometrial transition day in live birth group.The multivariate logistic regression analysis showed that the prediction Model 3 for live birth outcome[area under the curve(AUC):0.917,95%confidence interval(CI):0.863-0.971,P<0.001]surpassed the Model 1(AUC:0.698,95%CI:0.593-0.803,P=0.001),or the Model 2(AUC:0.790,95%CI:0.699-0.880,P<0.001).The regression equations for the live birth outcomes,integrating tongue and pulse indicators with endocrine parameters,included the following measures:FSH on endometrial transition day[odds ratio(OR):0.523,P=0.025],LH on endometrial transition day(OR:1.277,P=0.029),TB-L(OR:2.401,P=0.001),perPart(OR:1.018,P=0.013),h1(OR:0.065,P=0.021),t1(OR:4.354,P=0.024),and h4/h1(OR:0.018,P=0.016). Conclusion In infertility patients undergoing FET,there exists a correlation between tongue and pulse indicators and endocrine parameters.The corporation of tongue and pulse indica-tors significantly improved the predictive capability of the model for live birth outcomes.Specifically,tongue and pulse indicators such as TB-L,perPart,h1,t1,and h4/h1 exhibited a discernible correlation with the ultimate live birth outcomes.

Drug therapy is a common method to cure diseases and relieve symptoms.The value of patient-reported outcome(PRO)in evaluating the effect of drug therapy has been increasingly paid attention.The PRO scale is a standardized questionnaire,which can scientifically evaluate the experiences and subjective effects of drug use from a patient-centered perspective,and help patients and clinicians make more reasonable medication decisions.By reviewing and sorting out relevant global literature,this paper found that the content of the PRO scales relevant to drug therapy focused on five fields:"medication satisfaction""medication adherence""drug treatment burden""medication-related quality of life"and"adverse drug reactions".This paper described the basic information,measurement characteristics and application of common scales in recent years respectively,and summarized and analyzed the problems and enlightenment of scale development,aiming to provide theoretical reference for the selection,application and development of PRO scales.