Objective:To analyze the degree of intervertebral disc degeneration above and below the vertebral body in pilots with lumbar spondylolysis.Methods:The medical records of 66 pilots who underwent lumbar imaging examinations at the Air Force Medical Center between September 2011 and January 2025 were retrospectively analyzed. The degree of intervertebral disc degeneration was compared between 33 pilots with lumbar spondylolysis and another 33 age-matched pilots without spondylolysis. The spondylolysis group was divided into subgroups with/without spondylolisthesis and unilateral/bilateral subgroups. The degree of disc degeneration above and below the vertebral body was compared between these subgroups using the modified Pfirrmann grading system.Results:The modified Pfirrmann scores of the discs above and below the spondylolytic vertebral body in the spondylolysis group were significantly higher than those at the corresponding segments in the non-spondylolysis group ( Z=-2.39, -4.41, P=0.017,<0.001). In pilots with spondylolysis accompanied by spondylolisthesis, the modified Pfirrmann score of the disc below the slipped vertebral body was significantly higher than that in pilots without spondylolisthesis ( Z=-3.02, P=0.003). However, there was no statistically significant difference in the modified Pfirrmann score of the disc above the slipped vertebral body between pilots with and without spondylolisthesis ( P>0.05). No significant differences were observed in the modified Pfirrmann scores of the discs above and below the vertebral body between pilots with unilateral and bilateral spondylolysis (both P>0.05). Conclusions:Pilots with lumbar spondylolysis exhibit severe intervertebral disc degeneration above and below the affected vertebral body. Spondylolisthesis can continue to exacerbate degeneration in the disc inferior to the affected vertebra.

Objective:To assess the predictive value of the percentage of Gleason pattern 4 (G4%) in prostate biopsy for adverse pathology and biochemical recurrence.Methods:We retrospectively analyzed consecutive patients who underwent radical prostatectomy in our institution between January 2019 and December 2023, and included those who were diagnosed with ISUP 2-3 cancer at biopsy. A total of 109 patients were included in this study. The average age of patients was (67.40±6.11) years, and the average BMI of patients was (25.36±2.97) kg/m 2. 49 Cases (45.0%) had a PI-RADS score of 5, and the median prostate volume was 32.60 (24.57, 45.63) ml. The median of most recent tPSA before biopsy was 9.76 (6.89, 12.95) ng/ml, the median PSAD was 0.28 (0.17, 0.44) ng/ml 2, and the median f/tPSA was 0.11 (0.08, 0.16). Clinical T 2b or higher stage was found in 84 cases (77.1%). The total biopsy core length was (22.91±5.18) cm, with a median of 24 (20, 24) biopsy cores and a median of 6 (4, 9) positive cores. Gleason score 3+ 4 was found in 52 cases (47.7%), and Gleason score 4+ 3 in 57 cases (52.3%). Cribriform was present in 30 cases (27.5%). G4% was calculated based on the proportion of Gleason grade 4 tumor relative to total tumor, tumor proportion relative to total tissue, and tissue length. Patients were divided into high-G4% (≥2.45%) and low-G4% (<2.45%) groups based on the median G4% value, with 55 and 54 cases, respectively. No significant differences were observed in baseline characteristics between the two groups ( P>0.05). The main risk factor of adverse pathology was analyzed by logistic regression, and receiver operating characteristic (ROC) curve and area under curve (AUC) were performed. Patients were further stratified by the G4% cutoff value from ROC, and Kaplan-Meier survival curves were plotted to compare biochemical recurrence free survival (BCRFS) between groups. The main risk factor affecting BCRFS was analyzed by Cox regression. Adverse pathology was defined as postoperative Gleason score ≥4+ 3 or pathological stage ≥T 3a. Results:Adverse pathology occurred in 44 (80.0%) high-G4% and 16 (29.6%) low-G4% patients ( P<0.01). Multivariate analysis identified G4% as an independent risk factor for adverse pathology ( OR=1.23, 95% CI 1.02-1.50, P=0.033). The highest ROC AUC value was seen for G4% (0.799), significantly outperforming Gleason score (0.799 vs. 0.641, P=0.003), tPSA (0.799 vs. 0.615, P=0.003), PSAD (0.799 vs. 0.679, P=0.038), positive cores (0.799 vs. 0.677, P=0.009), clinical T stage (0.799 vs. 0.607, P=0.001) and cribriform (0.799 vs. 0.639, P=0.001). The G4% cutoff value for predicting biochemical recurrence was 10.97%. The median BCRFS was significantly higher in the low G4% (<10.97%) group than that in the high G4% (≥10.97%) group (55 vs. 28 months, P=0.002). Cumulative recurrence free survival rates at 1 and 3 years were 94.6% vs. 74.1% and 78.0% vs. 47.6%, respectively. Multivariate Cox regression analysis indicates that G4% was an independent risk factor affecting BCRFS ( HR=1.11, 95% CI 1.00-1.23, P=0.041). Conclusions:For patients with ISUP 2-3 nmPCa, a higher G4% in biopsy specimens demonstrates strong predictive ability for adverse pathology and biochemical recurrence, outperforming traditional clinical indicators such as Gleason score and PSA.

Objective:To evaluate the safety and effectiveness of robot-assisted coronary artery bypass(RACAB).Methods:We retrospectively analyzed the clinical outcomes from 252 consecutive patients who underwent RACAB in our center between April 2021 and August 2023. The internal mammary artery(IMA) was harvested using the skeletonized technique with the assistance of the robotic system. Then, graft-to-target vessel anastomoses were performed via a 4-6 cm left fifth intercostal thoracotomy. Coronary angiography or coronary CTA was routinely performed before discharge.Results:149 patients(59.1%) underwent multi-vessel coronary bypass. 140 patients(55.6%) underwent total arterial bypass grafting, with 131 patients(52.0%) undergoing RACAB with in situ bilateral IMA. IMA harvesting failed in 6 patients(1.6%). One patient(0.4%) was assisted by extracorporeal circulation, and 5 patients(2.0%) underwent re-thoracotomy postoperatively. The patency rate of grafts was 96.6%(449/465). The 12-month and 24-month survival rate were 97.8% and 96.5% respectively; The 12-month and 24-month MACCE-free survival rate were 95.2% and 92.6%, respectively.Conclusion:RACAB is safe and feasible. With the assistance of the robotic system, in situ bilateral IMA can be obtained and bypassed to all target vessels territory. Extended follow-up is warranted.

Objective:To analyze the safety and efficacy of multi-vessel minimally invasive cardiac surgery-coronary artery bypass graft(MICS-CABG) through perioperative angiography results and complications.Methods:Clinical data of 1 073 patients who underwent multi-vessel MICS-CABG surgery at Peking University Third Hospital from December 2015 to June 2024 were collected using an ambispective cohort study. Among them, 745 were males(69.4%), with a median age of 65 years(58, 71), and a median ejection fraction of 0.66(0.56, 0.71). Double-vessel or triple-vessel lesions accounted for 932 cases(86.9%), while left main lesions were present in 449 cases(41.8%). The primary outcome was the evaluation of graft patency based on perioperative angiography or coronary artery computed tomography angiography results, while major cardiovascular adverse events during the perioperative period, surgical complications, and other surgical information were secondary outcomes. The clinical efficacy of multi-vessel MICS-CABG was evaluated.Results:In this study, the median number of grafts was 3, and complete revascularization was performed in 1 006 cases(93.8%); total arterial revascularization was performed in 308 cases(28.6%). Perioperative mortality was 11 cases(1.0%), and the main adverse cardiovascular and cerebrovascular events(MACCE) was 50 cases(4.8%). Three cases(0.3%) had poor wound healing, and 79 patients(7.4%) required transfusion. Postoperative coronary angiography was performed in 907 patients(84.5%) and coronary CTA was performed in 52 patients(4.8%), for an overall review rate of 89.4%(959/1073). The overall patency rate of the bridge vessel was 96.9%, and the patency rate of the left internal mammary artery was 98.2%.Conclusion:Multi-vessel MICS-CABG demonstrates excellent perioperative safety and is capable of achieving complete revascularization for the 3 regions of the heart. The quality of the anastomosis and the postoperative patency rate of the grafts is satisfactory.

With rapid development of artificial intelligence(AI)technology,AI is reshaping new ecology in field of educa-tion.With promotion of AI,AI digital teaching materials will further clearly present knowledge context and build a new paradigm and new form of digital teaching materials.In context of general health,integration of medicine and prevention has become an important trend in medical and health field.However,at present,there is a lack of medical and preventive integration resources,and a single paper textbook cannot achieve depth and breadth of knowledge system of medical and preventive integration,which is difficult to adapt to development trend of AI enabling education.Therefore,it is urgent to use AI technology to develop and expand digital teaching materials for medical and prevention integration and realize resource penetration.Immune system is an important defense line of physi-cal diseases,and there is a close relationship between integration of medical and prevention.This paper aims to explore application path of developing digital teaching materials in medical education by AI technology.This concept of medical integration runs through every chapter and case analysis of AI textbooks,strengthening shift from"treatment-centered"to"health-centered"concept.Taking immune system as an example,this paper conducts in-depth analysis,develops and shares digital teaching materials by integrating medical knowledge,prevention strategies and AI technology,and provides new ideas and methods for medical education.

Objective To develop a Nomogram clinical prediction model for the pathological occurrence of extraprostatic extension(EPE)after radical prostatectomy in prostate cancer patients,using simplified site-specific magnetic resonance imaging(MRI)indicators and other clinical parameters.Methods A total of 181 prostate cancer patients[mean age(69.0±7.3)years]who underwent radical prostatectomy were included.These patients had received 3-Tesla multi-parametric magnetic resonance imaging(3-T mpMRI)within 6 months prior to surgery.Based on mpMRI measurements[capsular contact length(CCL)>15 mm,capsular bulging/irregularities,diameter of index lesion(dIL),and evident extraprostatic extension(eEPE)],the dIL?sEPE grading system was derived.The optimal cut-off value of dIL(denoted as dIL)was determined using the Youden J index,and categorized it into a binary variable.A Logistic regression model was established based on the dIL?sEPE grading and clinical scores.The predictive performance of clinical indicators,MRI indicators,and combined clinical and MRI indicators were compared.Finally,a clinical prediction model integrating both clinical and MRI data was developed.Results Pathological EPE was found in 46 out of 181 cases(25.4% ).A Nomogram prediction model for EPE was established with a combination of the dIL?sEPE grading and clinical indicators.Conclusion The combination of dIL?sEPE grading with clinical indicators accurately predicts extracapsular extension in prostate cancer.The Nomogram model that established,based on MRI imaging characteristics and clinical indicators has good performance and is easy to use.It is beneficial to stratifying management for prostate cancer patients,and it provides valuable guidance for patients suitable for nerve-sparing surgery.

Objective:To investigate the predictive value of radiomics features derived from dynamic contrast-enhanced MRI (DCE-MRI) based on habitat imaging technology for pathological complete response after neoadjuvant therapy (NAT) for breast cancer.Methods:All patients were female, aged 25-67 years. Patients were stratified into training ( n=83) and validation ( n=36) sets via stratified random sampling (7∶3 ratio). Pathological complete remission (pCR) and non-pathological complete remission (non-pCR) were defined using the Miller-Payne grading system. All patients underwent DCE-MRI before NAT. ITK-Snap software was used to outline the region of interest (ROI), the imaging histological features of the entire tumor region were extracted and screened, a traditional imaging histological model for predicting post-NAT pCR (ROI overall model) was constructed; the tumor region was divided into three subregions using habitat imaging technology, and the imaging histological features within ROI subregion 1, ROI subregion 2, and ROI subregion 3 were extracted and screened, and the habitat imaging model for predicting post-NAT pCR were constructed (ROI subregion 1 model, ROI subregion 2 model, ROI subregion 3 model). Univariate logistic regression identified clinical predictors of pCR for clinical model construction. Combined models integrating clinical predictors and habitat imaging features were established. The efficacy of each model in predicting pCR after NAT in breast cancer was evaluated using receiver operating characteristic curves and area under the curve (AUC), and the efficacy of clinical application of the models was evaluated using decision curve analysis (DCA). Results:Of the 119 patients, 74 were pCR patients, with 52 in the training set and 22 in the validation set, and 45 were non-pCR patients, with 31 in the training set and 14 in the validation set. Logistic regression analysis showed that human epidermal growth factor receptor 2 status ( OR=0.254, 95% CI 0.093-0.697, P=0.008) was an independent predictor of pCR after NAT, and this was used to construct a clinical prediction model. The predictive efficacy of ROI subregion 1 model and ROI subregion 2 model in the habitat model was higher than that of the traditional imaging histology model (ROI overall model), with AUCs of 0.805, 0.748,0.728 for the training set and 0.776,0.718,0.708 for the validation set, respectively. The combined clinical prediction model for predicting pCR after NAT in breast cancer had AUCs of 0.877 and 0.818 for the training and validation sets, respectively. DCA showed a higher net benefit for the combined model than for the traditional imaging histology model and the habitat imaging histology model. Conclusion:Compared with the traditional method of extracting the entire tumor region, extracting radiomics features from DCE-MRI subregions based on habitat imaging technology can improve the predictive performance of NAT efficacy in breast cancer.

Objective:To investigate the predictive value of serum homocysteine (Hcy), neutrophil to lymphocyte ratio (NLR) and total imaging load score on cognition disorders in patients with small cerebral vascular disease (CSVD).Methods:A total of 106 CSVD patients treated in Shanxi Hongdong County People's Hospital from June 2021 to June 2024 were retrospectively selected as the study objects. The Montreal Cognitive Assessment Scale (MoCA) was used to assess cognitive function. Among them, 43 patients with cognition disorders and 63 patients without cognition disorders were evaluated. Another 30 healthy subjects over 60 years old were selected as control group. General data and serum Hcy, NLR and other indicators of the three groups were compared, MRI examination was performed, and the total imaging load score was calculated. Logistic regression was used to analyze the risk factors of cognition disorders in CSVD patients, and receiver operating characteristic (ROC) curve was used to analyze the predictive value of Hcy, NLR and radiographic total load score for cognition disorders in CSVD patients.Results:The levels of Hcy, NLR and total imaging load scores in the CSVD group were higher than those in the CSVD group and the control group : (20.32 ± 3.24) μmol/L vs. (17.75 ± 2.81), (14.96 ± 3.84) μmol/L; 2.77 ± 0.75 vs. 2.27 ± 0.68, 1.93 ± 0.47; (1.28 ± 0.73) scores vs. (0.92 ± 0.55), (0.36 ± 0.21) scores, there were statistical differences ( P<0.05). The results of Logistic regression showed that Hcy, NLR and total load score were risk factors for cognition disorders ( P<0.05). The results of ROC curve showed that the area under the curve (AUC) of Hcy, NLR, total imaging load score combined prediction of cognition disorders was 0.798. Conclusions:Hcy, NLR and total imaging load score are risk factors for cognition disorders in CSVD, and have certain predictive value for cognition disorders.

Objective To understand the serologic prevalence and infection status of Cytomegalovirus(CMV)in children aged 0～1 years,and explore the risk factors of CMV infection for clinical reference.Methods The data of 4 938 children aged 0～1 years who underwent chemiluminescence enzyme immunoassay for TORCH in Department of Inpatient and Department of Pediatrics Outpatient of Maternal and Child Health Hospital of Inner Mongolia from January 2020 to December 2022 were retrospectively analyzed to understand the seroprevalence of human CMV(HCMV)among children in the region,and analyzed the risk factors associated with HCMV infections by combining the results of laboratory tests and clinical information.Results In 4 938 children,the total antibody positivity rate was 94.01%(4 642/4 938),the total IgG antibody positivity rate was 93.86%(4 635/4 938),the total IgM antibody positivity rate was 8.10%(400/4 938),and the positive rate of the two simultaneous detections was 7.96%(393/4 938).The difference in HCMV-IgG and HCMV-IgM antibodies positivity rates beteen different age groups were statistically significant(χ2=36.350,1 043.199,all P<0.05),and the differences in HCMV-IgG and IgM antibodies between boys and girls were not statistically significant(χ2=0.215,1.184,all P＞0.05).According to univariate analysis,the breast-feeding and vaginal delivery rates in the infected group were higher than those in the control group,and the differences in feeding and birth methods were statistically significant(χ2=10.777,5.725,all P<0.05).Multifactorial analysis found that breast-feeding and transvaginal delivery were independent risk factors for HCMV infection,and the differences was statistically significant(Wald χ2=6.247,10.057,all P<0.05).Conclusion The serologic antibody positivity rate of HCMV in children within 1 year of age is as high as 94.01%,and infants aged 3 months to 6 months are most susceptible to infection.Breastfeeding and transvaginal delivery are independent risk factors for HCMV infection in children within 1 year of age.

Objective To develop a Nomogram clinical prediction model for the pathological occurrence of extraprostatic extension(EPE)after radical prostatectomy in prostate cancer patients,using simplified site-specific magnetic resonance imaging(MRI)indicators and other clinical parameters.Methods A total of 181 prostate cancer patients[mean age(69.0±7.3)years]who underwent radical prostatectomy were included.These patients had received 3-Tesla multi-parametric magnetic resonance imaging(3-T mpMRI)within 6 months prior to surgery.Based on mpMRI measurements[capsular contact length(CCL)>15 mm,capsular bulging/irregularities,diameter of index lesion(dIL),and evident extraprostatic extension(eEPE)],the dIL?sEPE grading system was derived.The optimal cut-off value of dIL(denoted as dIL)was determined using the Youden J index,and categorized it into a binary variable.A Logistic regression model was established based on the dIL?sEPE grading and clinical scores.The predictive performance of clinical indicators,MRI indicators,and combined clinical and MRI indicators were compared.Finally,a clinical prediction model integrating both clinical and MRI data was developed.Results Pathological EPE was found in 46 out of 181 cases(25.4% ).A Nomogram prediction model for EPE was established with a combination of the dIL?sEPE grading and clinical indicators.Conclusion The combination of dIL?sEPE grading with clinical indicators accurately predicts extracapsular extension in prostate cancer.The Nomogram model that established,based on MRI imaging characteristics and clinical indicators has good performance and is easy to use.It is beneficial to stratifying management for prostate cancer patients,and it provides valuable guidance for patients suitable for nerve-sparing surgery.