Objective:To investigate the value of machine learning models based on CT radiomics for predicting the outcome of neoadjuvant chemotherapy (NAC) in patients with locally advanced gastric cancer (LAGC).Methods:A retrospective case series study was conducted. A total of 279 LAGC patients receiving NAC before surgery in Shanxi Province Cancer Hospital from January 2018 to November 2020 were included. According to a ratio of 7∶3, all patients were randomly divided into the training set (196 cases) and the validation set (83 cases). According to the tumor regression grade (TRG), the pathological grade was divided into the good response of NAC (GR) group (TRG 0-1, 55 cases) and the poor response of NAC (PR) group (TRG 2-3, 224 cases). The clinicopathological data of patients were collected, such as age, gender, differentiation degree, clinical T and N staging, carcinoembryonic antigen (CEA), and carbohydrate antigen 199 (CA199) level. Radiomics features were extracted from the enhanced CT images in the vein phase, and the features were screened by 3-step dimensionality reduction. And then 5 machine learning algorithms including logistic regression (LR), naive bayes (NB), random forest (RF), support vector machine (SVM) and extreme gradient boosting (XGB) were applied to build prediction models based on the CT radiomics. The receiver operating characteristic (ROC) curve and the decision analysis (DCA) curve were drawn to evaluate the predictive performance and clinical benefit of each model on the outcome of NAC in patients with LAGC.Results:Among 196 patients in the training set, there were 39 cases in GR group and 157 cases in PR group; among 83 patients in the validation set, there were 16 cases in GR group and 67 cases in PR group. There were no statistically significant differences in clinicopathological data of patients between the training and validation sets, or between GR and PR groups in the training and validation sets (all P > 0.05). A total of 102 radiomics features were extracted from region of interest of CT images in the vein phase, and 6 key features were finally selected including original_firstorder_10Percentile, original_firstorder_RoubustMeanAbsoluteDeviation, original_glcm_Idmn, original_glcm_MCC, original_ngtdm_Busyness, original_ngtdm_Contrast; and there were statistically significant differences in 6 features between the GR and PR groups (all P < 0.05). LR, NB, RF, SVM and XGB machine learning algorithms were used to construct 5 prediction models based on the CT radiomics. The area under ROC curve for NAC prediction in the training set was 0.553, 0.709, 0.668, 0.772 and 0.790, respectively; in the validation set was 0.662, 0.622, 0.683, 0.752 and 0.784, respectively. The model constructed by XGB showed the best comprehensive performance, and its accuracy, sensitivity and specificity was 0.771, 0.562 and 0.821, respectively. In the DCA of 5 machine learning models in the training set, XGB-based model provided a higher net benefit. Conclusions:Machine learning models based on enhanced CT radiomics in the vein phase have a high predictive efficacy in the outcome of NAC in LAGC patients before surgery and it helps make clinical personalized treatment decisions.

Objective To analyze the correlation between the poor position of pedicle screw after lumbar internal fixation and the occurrence of postoperative neurological symptoms.Methods The clinical data of patients who underwent lumbar pedicle screw surgery in our hospital from January 2017 to December 2023 were analyzed retrospectively.Record the patient's sex,age,diagnosis,surgical segment,the presence of postoperative neurological complications,the types of neurological complications.According to the postoperative CT,the screw penetration zone and grade were evaluated,and the distribution of different pedicle screw penetration types was recorded.The correlation between different types of pedicle screw penetration and postoperative neurological symptoms was analyzed.Results A total of 184 patients were included,including 80 males and 104 females.Age ranged from 18 to 82 years,with an average of 60.1±14.2 years.35 patients developed new neurological symptoms after operation.The incidence of postoperative neurological symptoms caused by pedicle medial quadrant screw penetration and lower quadrant screw penetration was higher than that of pedicle superior quadrant and lateral quadrant screw penetration.From L1 to L5,the risk of postoperative neurological symptoms caused by screw penetration in the medial quadrant of the pedicle increases gradually.When the penetration distance of pedicle medial quadrant screws in L4 and L5 segments is≥2mm,the risk of postoperative neurological symptoms is high.When the penetration distance of pedicle medial quadrant screws in L1,L2 and L3 segments is greater than 4mm,the risk of postoperative neurological symptoms is high.The distance of pedicle screw penetrating the medial quadrant of pedicle was positively correlated with the incidence of postoperative neurological symptoms(P<0.05).Conclusion The lateral and superior quadrants of the pedicle may be regarded as safety zones for lumbar pedicle screw placement.For the L1～L3 segments,screw penetration depth should not exceed 4 mm;whereas for the L4～L5 segments,the safety threshold must be strictly controlled within 2 mm.

Objective:To investigate the current status of preimplantation genetic testing for aneuploidies (PGT-A) in China in 2024 and to provide recommendations for ensuring the consistency of PGT-A results.Methods:This study was a nationwide external quality assessment research. The National Center for Clinical Laboratories of the National Health Commission conducted two surveys in June and December 2024, with participation from 31 laboratories across China. During each survey, quality control samples of varying concentrations were distributed: the first survey distributed 6 samples (Batch Nos. 202401-202406) and the second survey distributed 3 samples (Batch Nos. 202431-202433). Participating laboratories were required to submit information including detection platforms, single-cell amplification methods, library construction methods, sequencing instruments, and test results. Collected data were statistically analyzed using Microsoft Excel to evaluate laboratories' PGT-A testing capabilities and determine whether results met predefined quality control requirements.Results:All 31 laboratories submitted results for both surveys. In the first survey, 90.3% (28/31) met qualification criteria with a 9.7% failure rate (3/31). For individual batches, pass rates were 90.3% (28/31) for batches 202401-202403 and 100% (31/31) for batches 202404-202406. The second survey achieved 100% (31/31) compliance across all three batches (202431-202433), with each batch maintaining a 100% pass rate.Conclusion:The detection quality of PGT-A in China is generally good, but with differences, and factors such as sample concentration, transportation conditions and detection methods affect the consistency of the results. The study highlights the urgent need for nationwide external quality assessment of PGT-A in China. This will help identify issues in laboratories in a timely manner and ensure the consistency of PGT-A test results.

Objective To analyze the correlation between the poor position of pedicle screw after lumbar internal fixation and the occurrence of postoperative neurological symptoms.Methods The clinical data of patients who underwent lumbar pedicle screw surgery in our hospital from January 2017 to December 2023 were analyzed retrospectively.Record the patient's sex,age,diagnosis,surgical segment,the presence of postoperative neurological complications,the types of neurological complications.According to the postoperative CT,the screw penetration zone and grade were evaluated,and the distribution of different pedicle screw penetration types was recorded.The correlation between different types of pedicle screw penetration and postoperative neurological symptoms was analyzed.Results A total of 184 patients were included,including 80 males and 104 females.Age ranged from 18 to 82 years,with an average of 60.1±14.2 years.35 patients developed new neurological symptoms after operation.The incidence of postoperative neurological symptoms caused by pedicle medial quadrant screw penetration and lower quadrant screw penetration was higher than that of pedicle superior quadrant and lateral quadrant screw penetration.From L1 to L5,the risk of postoperative neurological symptoms caused by screw penetration in the medial quadrant of the pedicle increases gradually.When the penetration distance of pedicle medial quadrant screws in L4 and L5 segments is≥2mm,the risk of postoperative neurological symptoms is high.When the penetration distance of pedicle medial quadrant screws in L1,L2 and L3 segments is greater than 4mm,the risk of postoperative neurological symptoms is high.The distance of pedicle screw penetrating the medial quadrant of pedicle was positively correlated with the incidence of postoperative neurological symptoms(P<0.05).Conclusion The lateral and superior quadrants of the pedicle may be regarded as safety zones for lumbar pedicle screw placement.For the L1～L3 segments,screw penetration depth should not exceed 4 mm;whereas for the L4～L5 segments,the safety threshold must be strictly controlled within 2 mm.

Objective:To investigate the current status of preimplantation genetic testing for aneuploidies (PGT-A) in China in 2024 and to provide recommendations for ensuring the consistency of PGT-A results.Methods:This study was a nationwide external quality assessment research. The National Center for Clinical Laboratories of the National Health Commission conducted two surveys in June and December 2024, with participation from 31 laboratories across China. During each survey, quality control samples of varying concentrations were distributed: the first survey distributed 6 samples (Batch Nos. 202401-202406) and the second survey distributed 3 samples (Batch Nos. 202431-202433). Participating laboratories were required to submit information including detection platforms, single-cell amplification methods, library construction methods, sequencing instruments, and test results. Collected data were statistically analyzed using Microsoft Excel to evaluate laboratories' PGT-A testing capabilities and determine whether results met predefined quality control requirements.Results:All 31 laboratories submitted results for both surveys. In the first survey, 90.3% (28/31) met qualification criteria with a 9.7% failure rate (3/31). For individual batches, pass rates were 90.3% (28/31) for batches 202401-202403 and 100% (31/31) for batches 202404-202406. The second survey achieved 100% (31/31) compliance across all three batches (202431-202433), with each batch maintaining a 100% pass rate.Conclusion:The detection quality of PGT-A in China is generally good, but with differences, and factors such as sample concentration, transportation conditions and detection methods affect the consistency of the results. The study highlights the urgent need for nationwide external quality assessment of PGT-A in China. This will help identify issues in laboratories in a timely manner and ensure the consistency of PGT-A test results.

Objective:To explore the implementation method of the "daily-monthly-quarterly" quality control model based on total quality management (TQM) theory in nursing quality management, and evaluate its application effectiveness.Methods:A quasi-experimental research method was used. The quarterly quality control model employed at Shanxi Medical University Second Hospital from 2018 to 2019 was set as the control group, and the"day-month-quarter" quality control model based on TQM implemented from 2020 to 2022 was set as the observation group. The nurse practice environment assessment scores from 2018 to 2022 were analyzed; the nursing quality-sensitive indicators between the two groups were compared, including the incidence rate of overall adverse event, falls among hospitalized patients, pressure ulcers of stage 2 and above, unplanned extubations, and catheter-related infections (central venous catheter-related bloodstream infections, ventilator-associated pneumonia, and catheter-associated urinary tract infections).Results:The nurse practice environment assessment scores from 2018 to 2022 were (69.11 ± 19.66), (75.20 ± 18.70), (77.60 ± 17.65), (82.45 ± 16.44), and (88.00 ± 15.06). The differences compared to the previous year were statistically significant ( t=3.63-9.24, all P<0.05).After the intervention, the incidence rates of overall adverse events, falls among hospitalized patients, unplanned extubation, central venous catheter-related bloodstream infections, and ventilator-associated pneumonia in the control group were 0.385% (499/129 678), 0.072% (94/129 678), 0.051% (66/129 678), 0.037% (23/62 390), and 0.746% (43/5 761). Compared to 0.258% (551/213 851), 0.048% (103/213 851), 0.033% (71/213 851), 0.019% (19/98 642), and 0.444% (88/19 826) in the observation group. The differences were statistically significant ( χ2values were 3.89-42.83, all P<0.05). There were no statistically significant differences in the incidence rates of pressure ulcers of stage 2 and above and catheter-associated urinary tract infections (both P>0.05). Conclusions:The "daily-monthly-quarterly" quality control model based on TQM is beneficial in improving nursing quality and ensuring patient safety.

Objective:To systematically evaluate the illness experience of patients with hepatitis B.Methods:A computer-based search was conducted in PubMed, Embase, Web of Science, Cochrane Library, Medline, China National Knowledge Infrastructure, Wanfang Data, VIP, and China Biology Medicine disc for qualitative studies related to the illness experience of patients with hepatitis B, from database inception to April 9, 2024. The Joanna Briggs Institute Critical Appraisal Checklist for Qualitative Research was used to assess the methodological quality of the included studies. A Meta-synthesis method was adopted to summarize and integrate the results.Results:A total of 10 papers were included, from which 43 themes were extracted and summarized into nine categories, ultimately forming four integrated findings: emotional challenges and psychological struggles; changes in social adaptation after experiencing disease trauma, with different coping styles; loss of self-actualization, accompanied by a strong desire for rehabilitation information and social support; a certain degree of illness-related stigma existed among patients.Conclusions:Medical staff should pay attention to the illness experiences of patients with hepatitis B, guide them toward positive coping mechanisms, and provide a basis for developing personalized nursing strategies.

Objective:To explore the implementation method of the "daily-monthly-quarterly" quality control model based on total quality management (TQM) theory in nursing quality management, and evaluate its application effectiveness.Methods:A quasi-experimental research method was used. The quarterly quality control model employed at Shanxi Medical University Second Hospital from 2018 to 2019 was set as the control group, and the"day-month-quarter" quality control model based on TQM implemented from 2020 to 2022 was set as the observation group. The nurse practice environment assessment scores from 2018 to 2022 were analyzed; the nursing quality-sensitive indicators between the two groups were compared, including the incidence rate of overall adverse event, falls among hospitalized patients, pressure ulcers of stage 2 and above, unplanned extubations, and catheter-related infections (central venous catheter-related bloodstream infections, ventilator-associated pneumonia, and catheter-associated urinary tract infections).Results:The nurse practice environment assessment scores from 2018 to 2022 were (69.11 ± 19.66), (75.20 ± 18.70), (77.60 ± 17.65), (82.45 ± 16.44), and (88.00 ± 15.06). The differences compared to the previous year were statistically significant ( t=3.63-9.24, all P<0.05).After the intervention, the incidence rates of overall adverse events, falls among hospitalized patients, unplanned extubation, central venous catheter-related bloodstream infections, and ventilator-associated pneumonia in the control group were 0.385% (499/129 678), 0.072% (94/129 678), 0.051% (66/129 678), 0.037% (23/62 390), and 0.746% (43/5 761). Compared to 0.258% (551/213 851), 0.048% (103/213 851), 0.033% (71/213 851), 0.019% (19/98 642), and 0.444% (88/19 826) in the observation group. The differences were statistically significant ( χ2values were 3.89-42.83, all P<0.05). There were no statistically significant differences in the incidence rates of pressure ulcers of stage 2 and above and catheter-associated urinary tract infections (both P>0.05). Conclusions:The "daily-monthly-quarterly" quality control model based on TQM is beneficial in improving nursing quality and ensuring patient safety.

Objective:To systematically evaluate the illness experience of patients with hepatitis B.Methods:A computer-based search was conducted in PubMed, Embase, Web of Science, Cochrane Library, Medline, China National Knowledge Infrastructure, Wanfang Data, VIP, and China Biology Medicine disc for qualitative studies related to the illness experience of patients with hepatitis B, from database inception to April 9, 2024. The Joanna Briggs Institute Critical Appraisal Checklist for Qualitative Research was used to assess the methodological quality of the included studies. A Meta-synthesis method was adopted to summarize and integrate the results.Results:A total of 10 papers were included, from which 43 themes were extracted and summarized into nine categories, ultimately forming four integrated findings: emotional challenges and psychological struggles; changes in social adaptation after experiencing disease trauma, with different coping styles; loss of self-actualization, accompanied by a strong desire for rehabilitation information and social support; a certain degree of illness-related stigma existed among patients.Conclusions:Medical staff should pay attention to the illness experiences of patients with hepatitis B, guide them toward positive coping mechanisms, and provide a basis for developing personalized nursing strategies.

Objective:To investigate the value of machine learning models based on CT radiomics for predicting the outcome of neoadjuvant chemotherapy (NAC) in patients with locally advanced gastric cancer (LAGC).Methods:A retrospective case series study was conducted. A total of 279 LAGC patients receiving NAC before surgery in Shanxi Province Cancer Hospital from January 2018 to November 2020 were included. According to a ratio of 7∶3, all patients were randomly divided into the training set (196 cases) and the validation set (83 cases). According to the tumor regression grade (TRG), the pathological grade was divided into the good response of NAC (GR) group (TRG 0-1, 55 cases) and the poor response of NAC (PR) group (TRG 2-3, 224 cases). The clinicopathological data of patients were collected, such as age, gender, differentiation degree, clinical T and N staging, carcinoembryonic antigen (CEA), and carbohydrate antigen 199 (CA199) level. Radiomics features were extracted from the enhanced CT images in the vein phase, and the features were screened by 3-step dimensionality reduction. And then 5 machine learning algorithms including logistic regression (LR), naive bayes (NB), random forest (RF), support vector machine (SVM) and extreme gradient boosting (XGB) were applied to build prediction models based on the CT radiomics. The receiver operating characteristic (ROC) curve and the decision analysis (DCA) curve were drawn to evaluate the predictive performance and clinical benefit of each model on the outcome of NAC in patients with LAGC.Results:Among 196 patients in the training set, there were 39 cases in GR group and 157 cases in PR group; among 83 patients in the validation set, there were 16 cases in GR group and 67 cases in PR group. There were no statistically significant differences in clinicopathological data of patients between the training and validation sets, or between GR and PR groups in the training and validation sets (all P > 0.05). A total of 102 radiomics features were extracted from region of interest of CT images in the vein phase, and 6 key features were finally selected including original_firstorder_10Percentile, original_firstorder_RoubustMeanAbsoluteDeviation, original_glcm_Idmn, original_glcm_MCC, original_ngtdm_Busyness, original_ngtdm_Contrast; and there were statistically significant differences in 6 features between the GR and PR groups (all P < 0.05). LR, NB, RF, SVM and XGB machine learning algorithms were used to construct 5 prediction models based on the CT radiomics. The area under ROC curve for NAC prediction in the training set was 0.553, 0.709, 0.668, 0.772 and 0.790, respectively; in the validation set was 0.662, 0.622, 0.683, 0.752 and 0.784, respectively. The model constructed by XGB showed the best comprehensive performance, and its accuracy, sensitivity and specificity was 0.771, 0.562 and 0.821, respectively. In the DCA of 5 machine learning models in the training set, XGB-based model provided a higher net benefit. Conclusions:Machine learning models based on enhanced CT radiomics in the vein phase have a high predictive efficacy in the outcome of NAC in LAGC patients before surgery and it helps make clinical personalized treatment decisions.