Persistent left superior vena cava is a rare venous variant that is often combined with cardiovascular malformations. In thoracic surgery, especially mediastinal tumor resection, neglect of this variant may make the surgery difficult and risky, and careful preoperative imaging interpretation and adequate preoperative evaluation play an important role in the perioperative safety of the patient. In this paper, we reported a case of a 17-year-old female patient with a persistent left superior vena cava combined with mediastinal tumors. She was successfully discharged 5 days after thoracoscopic surgery, and after 3 years of postoperative follow-up, no tumor recurrence was observed.

Objective:To construct a prediction model for the risk of sarcopenia in middle-aged and elderly patients with knee osteoarthritis (KOA) based on machine learning, and to provide a basis for carrying out the prevention of sarcopenia in patients with KOA.Methods:Clinical data of KOA patients from three tertiary hospitals in Guangdong Province were collected between December 2023 and September 2024 using a convenience sampling method. The data were randomly split into training and test sets at an 8:2 ratio, with the occurrence of sarcopenia as the outcome variable. Risk prediction models for sarcopenia were constructed using eight machine learning algorithms: logistic regression, K-nearest neighbors, support vector machine, decision tree, neural network, random forest, gradient boosting machine (GBM), and eXtreme gradient boosting. Model performance was evaluated based on metrics including the area under the receiver operating characteristic curve (AUC), accuracy, precision, sensitivity, specificity, and F1 score. The optimal model was selected, and feature importance was visualized using the Shapley Additive exPlanations (SHAP) method.Results:Data from 640 KOA patients were analyzed, 143 males and 497 females, (67.51± 7.72) years, with 136 cases (21.25%) developing sarcopenia. All eight prediction models showed high AUC values, with the GBM model demonstrating the best performance. Its metrics included an AUC of 0.926 (95% CI 0.874 - 0.965), accuracy of 0.852, precision of 0.611, sensitivity of 0.815, specificity of 0.861, and F1 score of 0.698. SHAP analysis identified body mass index, calf circumference, body fat percentage, WOMAC score, and age as the most important predictive features. Conclusions:The GBM-based risk prediction model for sarcopenia in middle- aged and elderly KOA patients demonstrated optimal performance, enabling healthcare professionals to accurately and promptly identify high-risk groups among these patients and to develop effective, evidence-based intervention strategies.

Objective:To explore the advantages of internet-based smart healthcare for full-cycle transcatheter edge-to-edge repair (TEER) management in reducing postoperative adverse events rate, improving cardiac function, and enhancing quality of life.Methods:This retrospective study enrolled patients with mitral regurgitation who underwent transcatheter TEER at Beijing Anzhen Hospital Valve Intervention Center between June 2021 and September 2023. Patients were classified into degeneration mitral regurgitation (DMR) and functional mitral regurgitation (FMR) according to etiology, with further stratification by enrollment period into usual care group (June 2021 to October 2022) and full-cycle management group (November 2022 to September 2023). The 1-year postoperative follow-up data were collected and compared between subgroups with the same etiology. Kaplan-Meier survival curves were plotted, and log-rank tests were used to compare the differences in major endpoint event-free survival rates between the two groups. Univariate and multivariate Cox regression and logistic regression analyses were performed to evaluate the impact of the full-cycle management system on patients′ outcomes.Results:A total of 130 patients were included, aged (72.0±8.6) years, including 82 (63%) males. DMR was identified in 84 cases (40 in the usual care group and 44 in the full-cycle management group), while FMR was observed in 46 cases (27 in the usual care group and 19 in the full-cycle management group). Kaplan-Meier analysis demonstrated higher 1-year major endpoint event-free survival rates in the full-cycle management group compared to the usual care group, though the difference was not statistically significant (log-rank P>0.05). Compared to the usual care group, the full-cycle management group showed significantly higher proportions of New York Heart Association classification Ⅰ-Ⅱ patients (DMR: 67% vs. 52%, P=0.031; FMR: 68% vs. 52%, P=0.021), greater 6-minute walking distances (DMR: (346.39±70.41) m vs. (294.11±60.47) m, P=0.012; FMR: (356.60±54.68) m vs. (318.55±39.02) m, P=0.004), and superior Kansas City Cardiomyopathy Questionnaire scores (DMR: 81.50 (74.50, 85.00) points vs. 71.00 (66.00, 82.25) points, P=0.014; FMR: 83.00 (76.00, 85.00) points vs. 74.00 (70.75, 80.00) points, P=0.030). Multivariate logistic regression confirmed the full-cycle management system as an independent predictor for the above improved outcomes (all P<0.05). Conclusion:Smart healthcare-based full-cycle management improves cardiac function and quality of life in mitral regurgitation patients after TEER, demonstrating lower rates of major endpoint events compared to usual care.

Objective:To explore the advantages of internet-based smart healthcare for full-cycle transcatheter edge-to-edge repair (TEER) management in reducing postoperative adverse events rate, improving cardiac function, and enhancing quality of life.Methods:This retrospective study enrolled patients with mitral regurgitation who underwent transcatheter TEER at Beijing Anzhen Hospital Valve Intervention Center between June 2021 and September 2023. Patients were classified into degeneration mitral regurgitation (DMR) and functional mitral regurgitation (FMR) according to etiology, with further stratification by enrollment period into usual care group (June 2021 to October 2022) and full-cycle management group (November 2022 to September 2023). The 1-year postoperative follow-up data were collected and compared between subgroups with the same etiology. Kaplan-Meier survival curves were plotted, and log-rank tests were used to compare the differences in major endpoint event-free survival rates between the two groups. Univariate and multivariate Cox regression and logistic regression analyses were performed to evaluate the impact of the full-cycle management system on patients′ outcomes.Results:A total of 130 patients were included, aged (72.0±8.6) years, including 82 (63%) males. DMR was identified in 84 cases (40 in the usual care group and 44 in the full-cycle management group), while FMR was observed in 46 cases (27 in the usual care group and 19 in the full-cycle management group). Kaplan-Meier analysis demonstrated higher 1-year major endpoint event-free survival rates in the full-cycle management group compared to the usual care group, though the difference was not statistically significant (log-rank P>0.05). Compared to the usual care group, the full-cycle management group showed significantly higher proportions of New York Heart Association classification Ⅰ-Ⅱ patients (DMR: 67% vs. 52%, P=0.031; FMR: 68% vs. 52%, P=0.021), greater 6-minute walking distances (DMR: (346.39±70.41) m vs. (294.11±60.47) m, P=0.012; FMR: (356.60±54.68) m vs. (318.55±39.02) m, P=0.004), and superior Kansas City Cardiomyopathy Questionnaire scores (DMR: 81.50 (74.50, 85.00) points vs. 71.00 (66.00, 82.25) points, P=0.014; FMR: 83.00 (76.00, 85.00) points vs. 74.00 (70.75, 80.00) points, P=0.030). Multivariate logistic regression confirmed the full-cycle management system as an independent predictor for the above improved outcomes (all P<0.05). Conclusion:Smart healthcare-based full-cycle management improves cardiac function and quality of life in mitral regurgitation patients after TEER, demonstrating lower rates of major endpoint events compared to usual care.

Objective:To construct a prediction model for the risk of sarcopenia in middle-aged and elderly patients with knee osteoarthritis (KOA) based on machine learning, and to provide a basis for carrying out the prevention of sarcopenia in patients with KOA.Methods:Clinical data of KOA patients from three tertiary hospitals in Guangdong Province were collected between December 2023 and September 2024 using a convenience sampling method. The data were randomly split into training and test sets at an 8:2 ratio, with the occurrence of sarcopenia as the outcome variable. Risk prediction models for sarcopenia were constructed using eight machine learning algorithms: logistic regression, K-nearest neighbors, support vector machine, decision tree, neural network, random forest, gradient boosting machine (GBM), and eXtreme gradient boosting. Model performance was evaluated based on metrics including the area under the receiver operating characteristic curve (AUC), accuracy, precision, sensitivity, specificity, and F1 score. The optimal model was selected, and feature importance was visualized using the Shapley Additive exPlanations (SHAP) method.Results:Data from 640 KOA patients were analyzed, 143 males and 497 females, (67.51± 7.72) years, with 136 cases (21.25%) developing sarcopenia. All eight prediction models showed high AUC values, with the GBM model demonstrating the best performance. Its metrics included an AUC of 0.926 (95% CI 0.874 - 0.965), accuracy of 0.852, precision of 0.611, sensitivity of 0.815, specificity of 0.861, and F1 score of 0.698. SHAP analysis identified body mass index, calf circumference, body fat percentage, WOMAC score, and age as the most important predictive features. Conclusions:The GBM-based risk prediction model for sarcopenia in middle- aged and elderly KOA patients demonstrated optimal performance, enabling healthcare professionals to accurately and promptly identify high-risk groups among these patients and to develop effective, evidence-based intervention strategies.

Objective:To investigate the clinicopathological characteristics of early gastric cancer with mixed histological staging, and to analyze the prognostic effect of endoscopic submucosal dissection (ESD) for early gastric cancer.Methods:Clinical data of early gastric cancer patients treated with ESD in Gansu Wuwei Cancer Hospital from January 2011 to March 2020 were collected, and clinicopathological characteristics of patients with mixed-type early gastric cancer were analyzed by descriptive statistical methods. The clinical effects and influencing factors of ESD on early gastric cancer were analyzed by logistic regression. Kaplan-Meier was used to estimate the survival rate, and log-rank test was used to compare the survival rate.Results:A total of 269 patients (280 lesions) were included in this study, including 216 males (80.30%) and 53 females (19.70%), with age of 60.43±8.01 years. There were 25 lesions (8.93%) of mixed early gastric cancer, 248 lesions (88.57%) of differentiated early gastric cancer, and 7 lesions (2.50%) of undifferentiated early gastric cancer. Compared with differentiated and undifferentiated early gastric cancer, the lesion site of mixed early gastric cancer was mainly located in the upper 1/3 of the stomach [64.00% (16/25), 40.73% (101/248) VS 0.00% (0/7), χ2=10.211, P=0.006], the proportion of the lesion size ≤2 cm was relatively small [52.00% (13/25), 80.65% (200/248) VS 85.71% (6/7), χ2=11.173, P=0.004], and the proportion of infiltration depth in the mucosa was lower [52.00% (13/25), 85.48% (212/248) VS 57.14% (4/7), χ2=20.019, P<0.001], the proportion of positive vertical resection margin was relatively high [20.00% (5/25), 2.82% (7/248) VS 0.00% (0/7), χ2=16.657, P<0.001], the proportion of vascular invasion was higher than that of differentiated carcinoma but lower than that of undifferentiated carcinoma [36.00% (9/25), 2.42% (6/248) VS 42.86% (3/7), χ2=58.413, P<0.001], the complete resection rate was lower [76.00% (19/25), 93.15% (231/248) VS 100.00% (7/7), χ2=9.497, P=0.009], the curative resection rate was lower than that of differentiated early gastric cancer, but higher than that of undifferentiated early gastric cancer [48.00% (12/25), 89.52% (222/248) VS 42.86% (3/7), χ2=39.757, P<0.001], and the proportion of eCura grade C2 was higher than that of differentiated cancer, but lower than that of undifferentiated cancer [48.00% (12/25), 5.65% (14/248) VS 57.14% (4/7), χ2=58.766, P<0.001]. The results of multivariate analysis showed that the larger lesions ( P=0.004, OR=0.539, 95% CI: 0.354-0.822) was the risk factor for curative resection. In terms of infiltration depth, mucosal ( P=0.001, OR=51.799, 95% CI: 5.535-84.768) and submucosal 1 ( P<0.001, OR=29.301, 95% CI: 24.694-73.972) were protective factors for curative resection compared with submucosal 2. In terms of differentiation degree, compared with mixed type, differentiated type ( P=0.024, OR=3.947, 95% CI: 1.195-13.032) was the protective factor for curative resection, while undifferentiated type ( P=0.443, OR=0.424, 95% CI: 0.048-3.788) showed no difference between curative resection and mixed type. During the follow-up, 7 patients died. The overall survival time was 114.42±0.97 months, and the 5-year survival rate was 97.10%. There was no significant difference in the survival rate of early gastric cancer patients with different degrees of differentiation ( χ2=0.434, P=0.805). The survival rate of early gastric cancer patients with or without curative resection was significantly different ( χ2=4.081, P=0.043). Conclusion:Mixed early gastric cancer patients show high margin positive rate, vascular infiltration, and less curative resection than differentiated early gastric cancer. Therefore, the process of treating mixed early gastric cancer should be more rigorous. The long-term survival prognosis of early gastric cancer after ESD treatment is promising.

Objective To analyze the daily quality assurance(QA)measurement results of IBA Sphinx Compact device on the Mevion compact pencil beam scanning proton therapy system for evaluating its clinical application value in proton therapy.Methods The daily QA measurement of Mevion S250i proton therapy system was carried out with Sphinx Compact device for 30 consecutive days,and the measurement results were analyzed.Results The average deviation between the positioning laser and the image center was(0.42±0.27)mm in 30 days.All of the proximal and distal depth errors of the high-and low-energy pencil beams were within 0.50 mm.The position deviation of all the spots measured did not exceed 1.00 mm,and the size deviation was less than 7.5%.The deviation between the image center and the beam center was not more than 0.75 mm.The relative deviation of the flatness of the rectangular field was about 0.5%.The deviation of the output dose of the square field was within 1.0%.Conclusion The proton system daily QA measurement items recommended by AAPM TG-224 report can be accurately and rapidly measured with Sphinx Compact device.The device is a practical and efficient daily QA tool with high practical value in clinic.

Objective:To discuss the acceptance test of beam performance and mechanical precision of the first Mevion type S250i proton therapy system in China,and verify the stability and reliability of that in clinical treatment.Methods:According to the requirements of acceptance report of manufacturer,the output and range of machine unit(MU),the accuracy and stability of size and position of beam spot,the penumbra and position accuracy of adaptive aperture(AA)of Mevion type S250i proton therapy system,as well as the tests of mechanical properties and functions of the requirement of clinical use,were checked and tested for acceptance.Results:The maximum deviation of MU output was 1.3%,and the maximum deviation of the range was 0.037 g/cm2,and the maximum distal fall-off was 0.465 cm,and the minimum range of energy modulation was 0.21 g/cm2.The maximum deviations of the size of beam spot and the maximum deviation of the position were respectively 0.07 cm and 0.05 cm.The maximum AA penumbra was 0.007 cm,and the AA position accuracy was less than 0.1 cm.Conclusion:The acceptance test of the Mevion type S250i proton therapy system indicates that the parameters of the beam performance and mechanical precision can meet the requirements of the acceptance contract and AAPM-TG224 report of manufacturer,which has verified the machine has better favorable stability and reliability.

Objective:To analyze the molecular characteristics of antibiotic resistance in Helicobacter pylori(HP)and provide a molecular bio-logical basis for clinical eradication of HP by means of rational antibiotic use.Methods:From February 2019 to November 2023,1,144 pa-tients at the Gansu Wuwei Cancer Hospital who tested positive for HP using the 14C-urea breath test were enrolled in the study.Antibiotic resistance and related molecular characteristics of HP,and CYP2C19 polymorphisms in the patients were detected by diffusion drug suscept-ibility testing,drug resistance gene testing,and next-generation sequencing,respectively.Results:Among the six antibiotics assessed,the resistance rate and the prevalence of resistance genes(rdxA)were highest for metronidazole(92.00%and 86.12%,respectively),and lowest for amoxicillin(Pbp1)(11.78%and 37.11%,respectively).The prevalence of CYP2C19 alleles showed that 46.77%,44.58%,and 8.65%of par-ticipants were fast,medium,and slow metabolizers,respectively.Of the participants,148(18.55%)had immunohistochemical sphericity.The eradication rate of HP lower using conventional treatment regimens than that using personalized treatment regimens(χ2=8.627,P=0.003).The HP eradication rate was higher among patients with a first diagnosis of drug resistancebased on molecular testing,than that in patients undergoing retreatment(χ2=6.242,P=0.012).Conclusions:The prevalence of amoxicillin-resistant HP is low in Wuwei City,which has a high incidence of gastric cancer.Molecular diagnosis of antimicrobial resistance could improve the HP eradication rate and provide a refer-ence for rational use of antibiotics in clinical practice.

Objective:To measure and assess relevant radiation doses at the radiotherapy site of the first domestic single-vault proton therapy system.Methods:The radiation levels of the therapy system during and after beam irradiation were measured, and annual effective doses were assessed for personnel at the site.Results:During beam irradiation, the highest radiation dose was detected at the shielded door of the equipment floor, with a gamma radiation level of 2.140 μSv/h and a neutron radiation level of 0.850 μSv/h. Neutron radiation disappeared immediately once the beams stopped. In contrast, the radiation activated originated mostly from gamma rays. A longer time after beams stopped was associated with lower induced radiation intensity at the same location. Furthermore, a farther distance from the irradiated object corresponded to lower induced radiation intensity at the same time. The assessment result reveal that the annual effective doses to the personnel were at the safe level, with physicists exposed to the highest dose of 2.138 mSv.Conclusions:The radiation level at the studied proton therapy site meets the safety requirement, and the treatment can be performed safely at this site.