Objective To investigate the impact of two different algorithms, AAA and AXB, on the dose distribution of postoperative radiotherapy for left-sided breast cancer after breast-conserving surgery. Methods A total of 96 target volumes from patients who underwent breast-conserving surgery for left-sided breast cancer were selected for dose verification using a two-dimensional matrix system. The planned dose distributions were simulated using both AAA and AXB algorithms. Dosimetric differences in organs at risk and the target volumes were then compared to identify the algorithm that could reduce the radiation dose to organs at risk without compromising the dose distribution to the target volume. Dose verification was performed on the plans generated by both algorithms, and the pass rates of plans for each target volume using both algorithms were compared to provide a quantitative basis for the precise selection of subsequent radiotherapy plans. Results Both AAA and AXB plans met the radiotherapy requirements. The AXB algorithm demonstrated significant advantages in the D₉₈, D₂, homogeneity index, and conformity index for the planning target volume, as well as in the V₅ and V₂₀ for the left lung. The AXB algorithm showed advantages in the V₃₀ for the heart and the maximum and mean doses for the skin. With the 2 mm/2% criterion in dose verification, the gamma pass rate was higher for the AXB algorithm. Conclusion Through a comparative analysis of the two algorithms, this study revealed that the AXB algorithm offers certain advantages in the dose distribution of radiotherapy after breast-conserving surgery for left-sided breast cancer. These findings provide an important reference for the rational selection of algorithms in clinical practice and are expected to improve radiotherapy efficacy and patient prognosis.

Objective Mendelian randomization was used to analyze the causal association between 20 serum metabolites and the risk of ovarian cancer.Methods The gene variations of 20 serum metabolites were obtained from the MRC IEU database as tool variables reflecting exposure levels,while gene variations of ovarian cancer patients were used as instrumental variables reflecting outcome levels.The ovarian cancer dataset ieu-a-1120 included 66,450 European women samples(of which 25,509 were ovarian cancer),and the dataset ieu-a-1228 included 54,990 European women samples(of which 14,049 were ovarian cancer).Two-sample two-way Mendelian randomization analysis was performed on both datasets.This study used inverse variance-weighted(IVW),weigh-ted median method,MR-Egger regression,and combined various analysis methods such as simple mode,and weighted mode.The caus-al effects of 20 metabolites and the risk of ovarian cancer were analyzed.Cochran's Q test was used to perform sensitivity analysis and to verify the reliability of the results.MR Egger intercept test was used to assess the horizontal pleiotropy of tool variables,and use the leave-one-out method to assess whether there were single nucleotide polymorphisms(SNPs)in the results that might have a potential impact on the incidence of ovarian cancer.Finally,the effects of uridine on ovarian cancer cells were verified through cell proliferation and apoptosis experiments.Results The results showed a negative correlation between uridine and the occurrence of ovarian cancer,with statistically significance(ieu-a-1228:P=0.025;ieu-a-1120:P=0.017).MR-Egger regression analysis confirmed the sensitiv-ity and robustness of the analysis results.The CCK8 assay confirmed that uridine inhibited the proliferation of ovarian cancer cells in a concentration-dependent manner,and uridine at a concentration of 10 mM significantly promoted apoptosis in SKOV3 cells(P<0.001)and A2780 cells(P<0.001).Flow cytometry analysis showed that after treatment for 24 hours,uridine at a concentration of 10 mM had the strongest pro-apoptotic effect on ovarian cancer cells,which was significant in SKOV3 and A2780 cells(P<0.05 and P<0.001,respectively).Conclusion Uridine is negatively correlated with the risk of ovarian cancer,which lays a theoretical founda-tion for further understanding the pathogenesis of ovarian cancer and optimizing clinical treatment strategies.

Objective To retrieve and evaluate the evidence related to surgical instrument management,and to integrate the evidence to provide an evidence-based basis for clinical surgical instrument management practice.Methods Evidence on surgical instrument management,including guidelines,expert consensuses,and clinical decision-making,was systematically searched from domestic and international databases and related websites.The search timeframe was from database construction to 4 November 2024.Literature was screened and evaluated,and the evidence was integrated by 2 researchers.Results A total of 16 papers were included,including 2 systematic evaluations,1 class experimental study,2 clinical decisions,4 expert consensuses,5 guidelines,and 2 evidence summaries,resulting in a total of 33 pieces of evidence in 5 areas,including requirements for surgical instrument management,general principles of surgical instrument handling,logistics and supply chain management of surgical instruments,surgical instrument pre-treatment and cleaning,disinfection,and sterilisation processes,and personnel training.Conclusion This study summarises the best available evidence on the management of surgical instruments in hospitals and provides an evidence-based basis for healthcare professionals to manage surgical instruments,thereby improving the quality and efficiency of surgical instrument disposal.

Objective Mendelian randomization was used to analyze the causal association between 20 serum metabolites and the risk of ovarian cancer.Methods The gene variations of 20 serum metabolites were obtained from the MRC IEU database as tool variables reflecting exposure levels,while gene variations of ovarian cancer patients were used as instrumental variables reflecting outcome levels.The ovarian cancer dataset ieu-a-1120 included 66,450 European women samples(of which 25,509 were ovarian cancer),and the dataset ieu-a-1228 included 54,990 European women samples(of which 14,049 were ovarian cancer).Two-sample two-way Mendelian randomization analysis was performed on both datasets.This study used inverse variance-weighted(IVW),weigh-ted median method,MR-Egger regression,and combined various analysis methods such as simple mode,and weighted mode.The caus-al effects of 20 metabolites and the risk of ovarian cancer were analyzed.Cochran's Q test was used to perform sensitivity analysis and to verify the reliability of the results.MR Egger intercept test was used to assess the horizontal pleiotropy of tool variables,and use the leave-one-out method to assess whether there were single nucleotide polymorphisms(SNPs)in the results that might have a potential impact on the incidence of ovarian cancer.Finally,the effects of uridine on ovarian cancer cells were verified through cell proliferation and apoptosis experiments.Results The results showed a negative correlation between uridine and the occurrence of ovarian cancer,with statistically significance(ieu-a-1228:P=0.025;ieu-a-1120:P=0.017).MR-Egger regression analysis confirmed the sensitiv-ity and robustness of the analysis results.The CCK8 assay confirmed that uridine inhibited the proliferation of ovarian cancer cells in a concentration-dependent manner,and uridine at a concentration of 10 mM significantly promoted apoptosis in SKOV3 cells(P<0.001)and A2780 cells(P<0.001).Flow cytometry analysis showed that after treatment for 24 hours,uridine at a concentration of 10 mM had the strongest pro-apoptotic effect on ovarian cancer cells,which was significant in SKOV3 and A2780 cells(P<0.05 and P<0.001,respectively).Conclusion Uridine is negatively correlated with the risk of ovarian cancer,which lays a theoretical founda-tion for further understanding the pathogenesis of ovarian cancer and optimizing clinical treatment strategies.

Objective To establish and validate the reference interval for serum anti-Müllerian hormone(AMH)in healthy women of childbearing age in Shenzhen using an indirect method based on mathematical statistics.Methods Collected the AMH data for women aged 21～50 in outpatient and physical examination populations in Shenzhen Maternity and Child Health Care Hospital from 2017 to 2023.Grouping by age range of five,first performed normality tested on each group of data,and used the interquartile range method to remove outliers for non-normal data.Then established reference intervals for AMH in different age groups through indirect method(Hoffmann method)and verified them.Compared with the reference interval of the reagent instructions and analyzed the correlation be-tween serum AMH levels and age.Results The correlation coefficient between serum AMH and age in women of childbearing age was-0.642,and the difference was statistically significant(P<0.001).The distribution of AMH levels among women in six age groups was compared,and the difference was statistically significant(H=28 392.655,P<0.05),and AMH levels showed a decreasing trend with age.The reference range of serum AMH at ages 21～25,26～30,31～35,36～40,41～45 and 46～50 yesrs were 0.92～11.30,0.68～9.43,0.38～7.51,0.12～6.93,<4.42 and<1.83ng/ml,respectively,and all reference intervals in each group had been validated.Compared to the age groups provided by the manufacturer,the age groups in this study are more refined,the reference range was narrower,and the interpretation of clinical and laboratory data was more accurate.Conclusion This study used Hoffmann's indirect method for the first time to establish a reference range for AMH in women aged 21～50 years in Shenzhen.The reference interval established is more in line with the actual situation and is a simple and reliable acquisition mode,suitable for promotion and wide application in clinical labo-ratories.

Objective To establish and validate the reference interval for serum anti-Müllerian hormone(AMH)in healthy women of childbearing age in Shenzhen using an indirect method based on mathematical statistics.Methods Collected the AMH data for women aged 21～50 in outpatient and physical examination populations in Shenzhen Maternity and Child Health Care Hospital from 2017 to 2023.Grouping by age range of five,first performed normality tested on each group of data,and used the interquartile range method to remove outliers for non-normal data.Then established reference intervals for AMH in different age groups through indirect method(Hoffmann method)and verified them.Compared with the reference interval of the reagent instructions and analyzed the correlation be-tween serum AMH levels and age.Results The correlation coefficient between serum AMH and age in women of childbearing age was-0.642,and the difference was statistically significant(P<0.001).The distribution of AMH levels among women in six age groups was compared,and the difference was statistically significant(H=28 392.655,P<0.05),and AMH levels showed a decreasing trend with age.The reference range of serum AMH at ages 21～25,26～30,31～35,36～40,41～45 and 46～50 yesrs were 0.92～11.30,0.68～9.43,0.38～7.51,0.12～6.93,<4.42 and<1.83ng/ml,respectively,and all reference intervals in each group had been validated.Compared to the age groups provided by the manufacturer,the age groups in this study are more refined,the reference range was narrower,and the interpretation of clinical and laboratory data was more accurate.Conclusion This study used Hoffmann's indirect method for the first time to establish a reference range for AMH in women aged 21～50 years in Shenzhen.The reference interval established is more in line with the actual situation and is a simple and reliable acquisition mode,suitable for promotion and wide application in clinical labo-ratories.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.