Objective To explore the efficacy of a model combining clinicopathological characteristics and multiparametric MRI features for predicting BRCA-mutated breast cancer(BC).Methods A total of 256 BC patients were retrospectively selected and divided into BRCA mutation group(116 cases)and BRCA wild group(140 cases)based on the BRCA results.Chi-square tests or independ-ent sample t-tests were used to compare the differences in clinicopathological characteristics and multiparametric MRI features between the BRCA mutation group and the wild group.Risk factors for BRCA-mutated BC were identified through univariate and multivariate logistic regression ananlyses,and a combined predictive model was constructed.Receiver operating characteristic(ROC)curve was used to ana-lyze the diagnostic efficacy of the model.Results There were statistically significant differences in T stage,human epidermal growth factor receptor 2(HER-2),Ki-67,non-mass enhancement,enhancement pattern,time-signal intensity curve(TIC)type,and apparent diffusion coefficient(ADC)values between the BRCA mutation group and the wild group.Univariate logistic regression analysis showed that T stage,HER-2,Ki-67,non-mass enhancement,enhancement pattern,TIC type,and ADC values were risk factors for BRCA-mutated BC(P<0.05).Multivariate logistic regression analysis revealed that T stage,HER-2,Ki-67,enhancement pattern,and TIC type were independent risk factors for BRCA-mutated BC(P<0.05).The combined model incorporating T stage,HER-2,Ki-67,enhancement pattern,and TIC type had the best diagnostic efficacy in predicting BRCA-mutated BC,with an area under the curve(AUC)of 0.751.Conclusion The combined model integrating T stage,HER-2,Ki-67,enhancement pattern,and TIC type has good efficacy in predicting BRCA-mutated BC.

Objective To explore the necessity,significance,and implementation forms of integrating tumor health sci-ence popularization education and communication practice into clinical undergraduate oncology teaching.Methods Science pop-ularization education was conducted among clinical undergraduate oncology students at Guangzhou Medical University who partici-pated in science communication activities.Before and after the activities,online questionnaires were distributed via Wenjuanxing.Student questionnaires were collected within the deadline,while two different versions of questionnaires were randomly distributed to 30 parents and 20 faculty members involved in oncology teaching to assess their views and attitudes toward the necessity of pub-lic cancer prevention science communication,as well as the integration of science popularization education and communication practice into oncology teaching,and to evaluate its educational significance.Results The analysis of the questionnaires showed that nearly all or the vast majority of students,parents,and teachers highly recognized the necessity of public cancer prevention science education and awareness-raising,as well as the importance of medical students disseminating tumor health knowledge.They also strongly supported the inclusion of science popularization education in oncology teaching.Most students felt that their knowledge level improved significantly after the education sessions.Conclusion The integration of tumor science popularization education and communication practice into oncology teaching is highly necessary and meaningful.It significantly enhances students' health science literacy,sense of mission,and responsibility.It is recommended to incorporate such content into oncolo-gy teaching.

Objective To explore the efficacy of a model combining clinicopathological characteristics and multiparametric MRI features for predicting BRCA-mutated breast cancer(BC).Methods A total of 256 BC patients were retrospectively selected and divided into BRCA mutation group(116 cases)and BRCA wild group(140 cases)based on the BRCA results.Chi-square tests or independ-ent sample t-tests were used to compare the differences in clinicopathological characteristics and multiparametric MRI features between the BRCA mutation group and the wild group.Risk factors for BRCA-mutated BC were identified through univariate and multivariate logistic regression ananlyses,and a combined predictive model was constructed.Receiver operating characteristic(ROC)curve was used to ana-lyze the diagnostic efficacy of the model.Results There were statistically significant differences in T stage,human epidermal growth factor receptor 2(HER-2),Ki-67,non-mass enhancement,enhancement pattern,time-signal intensity curve(TIC)type,and apparent diffusion coefficient(ADC)values between the BRCA mutation group and the wild group.Univariate logistic regression analysis showed that T stage,HER-2,Ki-67,non-mass enhancement,enhancement pattern,TIC type,and ADC values were risk factors for BRCA-mutated BC(P<0.05).Multivariate logistic regression analysis revealed that T stage,HER-2,Ki-67,enhancement pattern,and TIC type were independent risk factors for BRCA-mutated BC(P<0.05).The combined model incorporating T stage,HER-2,Ki-67,enhancement pattern,and TIC type had the best diagnostic efficacy in predicting BRCA-mutated BC,with an area under the curve(AUC)of 0.751.Conclusion The combined model integrating T stage,HER-2,Ki-67,enhancement pattern,and TIC type has good efficacy in predicting BRCA-mutated BC.

Objective To explore the necessity,significance,and implementation forms of integrating tumor health sci-ence popularization education and communication practice into clinical undergraduate oncology teaching.Methods Science pop-ularization education was conducted among clinical undergraduate oncology students at Guangzhou Medical University who partici-pated in science communication activities.Before and after the activities,online questionnaires were distributed via Wenjuanxing.Student questionnaires were collected within the deadline,while two different versions of questionnaires were randomly distributed to 30 parents and 20 faculty members involved in oncology teaching to assess their views and attitudes toward the necessity of pub-lic cancer prevention science communication,as well as the integration of science popularization education and communication practice into oncology teaching,and to evaluate its educational significance.Results The analysis of the questionnaires showed that nearly all or the vast majority of students,parents,and teachers highly recognized the necessity of public cancer prevention science education and awareness-raising,as well as the importance of medical students disseminating tumor health knowledge.They also strongly supported the inclusion of science popularization education in oncology teaching.Most students felt that their knowledge level improved significantly after the education sessions.Conclusion The integration of tumor science popularization education and communication practice into oncology teaching is highly necessary and meaningful.It significantly enhances students' health science literacy,sense of mission,and responsibility.It is recommended to incorporate such content into oncolo-gy teaching.

Objective To observe the value of dual-source CT(DECT)virtual monoenergetic imaging(VMI)for differentiating prostate cancer(PC)and benign prostatic hyperplasia(BPH).Methods Thirty-three patients with PC(PC group)and 44 patients with BPH(BPH group)were retrospectively enrolled,and 40-100 keV(with 10 keV interval)VMI were reconstructed based on arterial phase DECT images,respectively.Clinical data,focal CT value and contrast-to-noise ratio(CNR)of VMI with different energy levels and conventional linear fusion images of arterial phase were compared between groups.Binary logistic regression models were constructed based on clinical data being significantly different between groups,focal CT value of VMI with energy level with the highest CNR,also focal CT value of conventional linear fusion images of arterial phase,respectively.The area under the receiver operating characteristic curve(AUC)was calculated to evaluate the efficacy of each model for differentiating PC and BPH.Results Free prostate-specific antigen(f-PSA),total prostate-specific antigen(t-PSA),focal CT value of 40-100 keV VMI and conventional linear fusion images of arterial phase in PC group were all higher,while short diameter in PC group was smaller than those in BPH group(all P＜0.05).Logistic regression models were constructed based on f-PSA,t-PSA,short diameter,CT value at 40 keV VMI and CT value at conventional linear fusion images of arterial phase,respectively,with AUC for differentiating PC and BPH of 0.879,0.902,0.701,0.911 and 0.857,respectively.Conclusion DECT VMI could be used as a supplementary examination for prostate diseases,and 40 keV VMI had the best efficacy for differentiating PC and BPH.

Objective:To explore the association of human betaine-homocysteine methyltransferase ( BHMT) and BHMT2 gene polymorphisms with non-syndromic congenital heart disease (CHD). Methods:A hospital-based case-control study was conducted, in which children with CHD who attended Hunan Children′s Hospital from January 2018 to May 2019 were enrolled as the case group, and children without any congenital deformity who attended the hospital during the same period were enrolled as the control group on a 1∶1 basis. A self-administered questionnaire survey was performed to collect information about the study subjects and their mothers, and then venous blood samples were collected from the subjects to detect BHMT and BHMT2 gene polymorphisms. Logistic regression analyses were used to evaluate the association of BHMT and BHMT2 gene polymorphisms and their haplotypes with CHD. Crossover analyses and logistic regression were used to explore the gene-gene and gene-environment interactions. Results:The case and control group both enrolled 620 children. The multivariate logistic regression showed that BHMT gene polymorphisms at rs3733890 (AA vs. GG: OR=3.476, Q FDR<0.001; GA vs. GG: OR=1.525, Q FDR=0.036), at rs1915706 (CC vs. TT: OR=3.464, Q FDR<0.001) and at rs1316753 (GG vs. CC: OR=1.875, Q FDR=0.020) increased the risk of CHD. Children with haplotype of A-G-A had an increased risk of CHD ( OR=1.468, 95% CI: 1.222-1.762). Interaction analysis showed that a statistically significant positive interaction between rs3733890 and rs1915706 on both additive ( RERI=0.628, 95% CI: 0.298-0.958) and multiplicative ( OR=3.754, 95% CI: 1.875-7.519) scales. Gene-environment interactions were found between the BHMT gene with secondhand smoke exposure before pregnancy and in early pregnancy, tea consumption before pregnancy and in early pregnancy, alcohol consumption before pregnancy, and folic acid supplementation before or during pregnancy. Conclusion:BHMT gene rs3733890, rs1915706 and rs1316753 polymorphisms may be associated with the risk of CHD. In addition, there is an association of cooperative interaction between rs3733890 and rs1915706 on both additive and multiplicative scales with the risk of CHD, and the BHMT gene interacts with multiple environmental factors.

Objective:To explore the association of human betaine-homocysteine methyltransferase ( BHMT) and BHMT2 gene polymorphisms with non-syndromic congenital heart disease (CHD). Methods:A hospital-based case-control study was conducted, in which children with CHD who attended Hunan Children′s Hospital from January 2018 to May 2019 were enrolled as the case group, and children without any congenital deformity who attended the hospital during the same period were enrolled as the control group on a 1∶1 basis. A self-administered questionnaire survey was performed to collect information about the study subjects and their mothers, and then venous blood samples were collected from the subjects to detect BHMT and BHMT2 gene polymorphisms. Logistic regression analyses were used to evaluate the association of BHMT and BHMT2 gene polymorphisms and their haplotypes with CHD. Crossover analyses and logistic regression were used to explore the gene-gene and gene-environment interactions. Results:The case and control group both enrolled 620 children. The multivariate logistic regression showed that BHMT gene polymorphisms at rs3733890 (AA vs. GG: OR=3.476, Q FDR<0.001; GA vs. GG: OR=1.525, Q FDR=0.036), at rs1915706 (CC vs. TT: OR=3.464, Q FDR<0.001) and at rs1316753 (GG vs. CC: OR=1.875, Q FDR=0.020) increased the risk of CHD. Children with haplotype of A-G-A had an increased risk of CHD ( OR=1.468, 95% CI: 1.222-1.762). Interaction analysis showed that a statistically significant positive interaction between rs3733890 and rs1915706 on both additive ( RERI=0.628, 95% CI: 0.298-0.958) and multiplicative ( OR=3.754, 95% CI: 1.875-7.519) scales. Gene-environment interactions were found between the BHMT gene with secondhand smoke exposure before pregnancy and in early pregnancy, tea consumption before pregnancy and in early pregnancy, alcohol consumption before pregnancy, and folic acid supplementation before or during pregnancy. Conclusion:BHMT gene rs3733890, rs1915706 and rs1316753 polymorphisms may be associated with the risk of CHD. In addition, there is an association of cooperative interaction between rs3733890 and rs1915706 on both additive and multiplicative scales with the risk of CHD, and the BHMT gene interacts with multiple environmental factors.

Objective:To explore application effect of early respiratory training schemes based on 4E mode (Engage, Educate, Execute, Evaluate) in children with bronchiolitis obliterans (BO) and provide evidence for the clinical implementation of early respiratory rehabilitation in children with BO.Methods:This was a quasi-experimental study. The children with BO who were admitted to 2 wards of the Department of Respiratory Medicine of Hunan Children's Hospital from January 1 to December 31, 2021 were selected as the research objects. They were randomly divided into the control group and the experimental group, with 23 cases in each group. The control group received routine treatment, nursing and rehabilitation guidance. The experimental group established a multidisciplinary team based on the control group, and used the early respiratory training program based on the 4E model to implement intervention. The clinical symptom severity scale was used to evaluate the improvement of the clinical symptoms of the children within 24 hours of being diagnosed as BO, the day of discharge, and 1 and 3 months after discharge for re-examination, and the hospitalization time of the children and the incidence of adverse events related to respiratory training were counted by using medical records and questionnaires.Results:The clinical symptom severity scores of the experimental group within 24 hours of admission diagnosis and the day of discharge were (20.00 ± 2.51) and (11.30 ± 2.46)points respectively, while those of the control group were (20.57 ± 2.21) and (11.70 ± 2.42) points respectively, with no statistically significant difference ( t=0.81, 0.54, both P>0.05). The clinical symptom severity scores of the experimental group were(10.52 ± 2.31) and (8.55 ± 1.06) points, lower than (12.32 ± 1.39) and (12.45 ± 2.19) points of the control group when they returned to the hospital for re-examination 1 and 3 months after discharge, with a statistically significant difference ( t=3.14, 7.25, both P<0.05). The experimental group was hospitalized for (11.78 ± 1.17) days, which was showter than (13.74 ± 1.63) days in the control group, with a statistically significant difference ( t=4.68, P<0.05). No respiratory training-related adverse events occurred in both groups of children during hospitalization. During home respiratory training after discharge, 1 and 2 respiratory training-related adverse events occurred in the experimental group 1 and 3 months after discharge, respectively, compared with 6 and 9 in the control group. The difference was statistically significant ( χ2=4.64, 5.94, both P<0.05). Conclusions:Early respiratory training solutions based on the 4E mode can improve the clinical symptoms of BO children, shorten the hospitalization time, reduce the number of adverse events related to respiratory training, and promote the recovery of children.

Cross-Sectional Studies ; Urodynamics ; China

Diffusion MRI (dMRI) is an important imaging modality that is used extensively to diagnose and monitor diseases. dMRI measures random motion of water molecules and helps elucidate microstructural properties of tissues. Optimal diffusion encoding paradigms have been developed to reduce acquisition time, minimize artifacts, and acquire high fidelity data needed for advanced modeling of tissue properties. To further probe microstructural properties, joint diffusion-relaxometry and diffusion weighted MR fingerprinting have garnered interest. A thorough knowledge of different diffusion encoding methods is essential to accurately encode diffusion in MR experiments. Here, we review fundamental physics of diffusion encoding methods, their associated challenges, and how to address them. Advanced diffusion acquisition methods are also discussed.