Pulmonary rehabilitation (PR) has become an indispensable component of the modern care continuum for lung cancer. Substantial evidence confirms its definitive value in improving perioperative outcomes, mitigating treatment-related side effects, and enhancing quality of life in patients with advanced disease. However, a significant "implementation gap" exists between its proven clinical benefits and widespread application, primarily characterized by the lack of standardized protocols, uncertainty in optimal timing, and low patient adherence. Bridging this gap requires a dual-driven approach: harnessing technological innovations such as telerehabilitation, wearable devices, and artificial intelligence to enhance accessibility and personalization, alongside optimizing care models through multidisciplinary team collaboration. This review systematically analyzes the evidence, implementation barriers, and innovative pathways for PR in lung cancer care, aiming to catalyze its transition from an ancillary option to a core standard of care, and envisions a new paradigm of personalized PR that is patient-centered, data-driven, and technologically integrated.

Objective To comprehensively investigate the levels of exposure and distribution characteristics of trihalomethanes (THMs) in drinking water in Guangzhou City, and evaluate the health risks of different groups of children, adolescents and adults, and to provide data and evidence for protecting human health and promoting risk control of drinking water. Methods According to the technical requirements of the ^"Standards for Drinking Water Quality Testing Methods^" (GB/T 5750-2023), the concentration of THMs, including trichloromethane (TCM), bromodichloromethane (BDCM), dibromochloromethane (DBCM), and tribromomethane (TBM) in drinking water in Guangzhou City from 2023-2024 were detected. The health risk model recommended by USEPA was used for risk assessment．Results TCM, BDCM and DBCM were detected in the factory water and terminal water, with TCM contributing the most. There was a statistically significant difference (P<0.05) between the wet and dry seasons, and the concentration of TCM in the wet season was higher than that in the dry season. Among the multiple exposure factors, the amount of exposure through drinking water intake was much greater than that through skin absorption. The carcinogenic risk index of THMs for children, adolescents, and adults was 22.0×10^-6, 12.2×10^-6, and 11.4×10^-6, respectively, while the non-carcinogenic risk was less than 1. Conclusion The exposure risks of THMs in children, adolescents, and adults is within an acceptable range, but monitoring needs to be strengthened, with a particular focus on children.

Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

Patients with lung cancer experience a heavy symptom burden during the perioperative period, which seriously affects their recovery and quality of life. Traditional symptom management models rely mainly on scheduled ward rounds during hospitalization and outpatient follow-up after discharge. However, they have limitations such as delayed symptom recognition, lack of post-discharge monitoring, and non-quantitative symptom assessment, which often lead to delayed interventions and low patient satisfaction. In recent years, the symptom management model based on electronic patient-reported outcomes (ePRO) has been increasingly valued in clinical practice. Existing high-level evidence from both domestic and international studies indicates that, through proactive monitoring, real-time alerts, and remote interventions, this model enables dynamic and continuous symptom management and helps improve patient recovery and healthcare experience. As a supplement to routine medical care, the ePRO-based symptom management model aims to enhance the quality of care rather than replace existing medical processes. To promote the standardized application of this model in perioperative lung cancer care, this consensus integrates domestic and international evidence. After multiple rounds of voting by more than 50 experts, it formulates 12 consensus statements covering the three core components, symptom monitoring, alerting, and intervention, to provide scientific and practical recommendations for clinical practice.

In recent years, the introduction of immune checkpoint inhibitors has significantly reshaped the therapeutic landscape for non-small cell lung cancer (NSCLC). Neoadjuvant immunotherapy (as monotherapy or in combination with chemotherapy) can significantly improve pathological response rates and has also demonstrated survival benefits when utilized within a comprehensive treatment regimen in combination with surgery. However, the tumor microenvironment remodeling induced by immunotherapy and immune-related adverse events present new challenges for surgical treatment strategies. This article addresses key issues in the surgical management of NSCLC in the context of neoadjuvant immunotherapy, focusing on three phases: preoperative, intraoperative, and postoperative, to explore the impact of immunotherapy on the selection of the time to surgery (TTS) and the optimal TTS, whether immunotherapy increases the difficulty and complexity of surgery, and whether immunotherapy affects the risk of perioperative complications. The aim is to provide guidance for surgical decision-making in clinical practice and to establish a foundation for future research directions.

ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

Objective:To explore the effectiveness of robotic implant technology in the postgraduate education of implant dentistry.Methods:The teaching method that combines of theory and model manipulation was used to teach 20 postgraduate students. After completing the theoretical course of implant dentistry, all students performed free hand, digital template, and dental implant robot implant surgery on the simulation jaw models. At the end of the course, an error analysis of the three and a feedback questionnaire distributed to the students were conducted in order to assess the effectiveness of the dental implant robot.Results:Compared to the freehand [2.45(1.1) mm,2.80(0.88) mm,4.95°(2.68°)] and digital template group [1.25(0.68) mm,2.00(0.90) mm, 3.35°(1.60°)], the dental robot implant group had smaller values for implant platform deviation, apical deviation and angular deviation [0.29(0.08) mm,0.26(0.20) mm,0.72°(0.13°)], and the difference was statistically significant ( P<0.001). The results of the questionnaire showed that dental implant robot helps to ensure the accuracy and safety of the implanting process and stimulates students′ interest in learning. Conclusions:At postgraduate level, the safety and accuracy of the implantation process was effectively improved and good teaching result achieved by introducing dental implant robot into the process of dental implant training.

A case of sarcomatoid renal cell carcinoma was reported. After admission，laparoscopic radical right nephrectomy was performed without postoperative radiotherapy，chemotherapy or immunotherapy. Five months after operation，the tumor recurred，with lung metastasis and tumor thrombus formation in inferior vena cava. Sarcomatoid renal cell carcinoma is extremely rare clinically，with high malignancy，poor prognosis，atypical symptoms，and no specificity in auxiliary examination. CT is the first choice of examination. At present，the diagnosis is mainly by pathological examination and immunohistochemical staining. The treatment of this disease depends mainly on early surgical resection，and it is not sensitive to radiotherapy or chemotherapy.

Objective:To compare the impact of preoperative pulmonary vascular resistance(PVR) levels on the prognosis of patients undergoing left ventricular assist device(LVAD)implantation.Methods:A retrospective analysis was conducted on the clinical data of 33 patients among September 2021 and June 2024, who underwent LVAD implantation at Zhongshan Hospital, Fudan University. 29 males and 4 females, with a mean age of(53.61±9.65)years old. The cohort included 30 cases of dilated cardiomyopathy, 2 cases of ischemic cardiomyopathy, and 1 case of noncompaction cardiomyopathy. Patients were grouped based on a preoperative PVR threshold of 3 WU, Preoperative data from Swan-Ganz catheterization, liver and renal function indicators, as well as other relevant clinical parameters were recorded. Patients were followed up to assess differences in survival outcomes.Results:Preoperative PVR was elevated in 18 cases(60%)of the patients, with a mean preoperative PVR of(3.16±1.71)WU. Immediate postoperative right heart catheterization was performed in 20 patients, showing a significant reduction in PVR from(3.85±1.72)WU preoperatively to(1.80±1.38)WU postoperatively( P<0.05). The cardiac index improved significantly from(1.95±0.63)L·min -1·m -2 preoperatively to(4.25±1.26)L·min -1·m -2 postoperatively( P<0.001). The mean follow-up duration was(14.78±12.06)months, no significant difference in postoperative survival was observed between the two groups(100% vs. 80%, P=0.667). Conclusion:Increased pulmonary resistance is often secondary to left heart dysfunction. After the implantation of a LVAD, pulmonary resistance can be improved. For patients with relatively normal right heart function before surgery, elevated pulmonary resistance does not affect the short-term outcomes of the implantation.