Objective To investigate the safety, economic benefits and psychological effects of day breast conserving surgery for breast cancer. Methods The demographic data and clinical data of breast cancer patients undergoing day (day surgery group) and ward (ward surgery group) breast conserving surgeries in West China Hospital of Sichuan University from March 2020 to June 2021 were retrospectively collected; the demographic data, clinical data, medical and related transportation costs, and preoperative and postoperative BREAST-Q scores of breast cancer patients undergoing day (day surgery group) and ward (ward surgery group) breast conserving surgery in West China Hospital of Sichuan University from June 2021 to June 2022 were prospectively collected. The safety, economic benefit, and psychological satisfaction of day surgery was analyzed. Results A total of 42 women with breast cancer were included in the retrospective study and 39 women with breast cancer were included in the prospective study. In both prospective and retrospective studies, the mean age of patients in both groups were <50 years. There were only statistical differences between the two groups in the aspects of hypertension (P=0.022), neoadjuvant chemotherapy (P=0.037) and postoperative pathological estrogen receptor (P=0.033) in the prospective study. In postoperative complications, there were no statistical differences in the surgical-related complications or anesthesia-related complications between the two groups in either the prospective study or the retrospective study (P>0.05). In terms of the overall cost, we found that the day surgery group was more economical than the ward surgery group in the prospective study (P=0.002). There were no statistical differences in postoperative psychosocical well-being, sexual well-being, satisfaction with breasts or chest condition between the two groups (P>0.05). Conclusion It is safe and reliable to carry out breast conserving surgery in day surgery center under strict management standards, which can save medical costs and will not cause great psychological burden to patients.

Objective To compare the imaging characteristics and surgical methods of pulmonary nodules in the external 1/3 group and internal 2/3 group. Methods A retrospective analysis of clinical data from patients who underwent thoracoscopic preoperative CT-guided lung nodule localization at the Department of Radiology, the First Affiliated Hospital of Xiamen University from September 2020 to April 2022 was conducted. Results A total of 215 patients were enrolled (247 pulmonary nodules), including 70 males and 145 females, with a median age of 48 years. Based on the location of the nodules under CT guidance, those located in the external 1/3 area of the lung were classified into an external 1/3 group, while those located in the middle 1/3 and inner 1/3 areas were classified into an internal 2/3 group. There was no statistical difference between the two groups in terms of general clinical data, nature of pulmonary nodules, distribution of pulmonary nodules in lobes, localization time, or localization complications (P>0.05). However, there were statistical differences in the distance of pulmonary nodules from the pleura [0.6 (0.0-1.9) cm vs. 1.8 (0.0-4.5) cm, P<0.001], size of pulmonary nodules [0.7 (0.2-1.8) cm vs. 1.0 (0.2-2.0) cm, P<0.001], and surgical methods (P=0.002). In the external 1/3 group, 92.1% of nodules underwent thoracoscopic wedge resection, while fewer patients underwent other procedures; in the internal 2/3 group, 77.1% of nodules underwent thoracoscopic wedge resection, and 19.3% underwent segmentectomy. Conclusion The diameter of pulmonary nodules, the distance of pulmonary nodules from the pleura, and surgical methods differ between the external 1/3 group and internal 2/3 group. Thoracic surgeons can develop more precise surgical plans based on the location and size of pulmonary nodules.

Objective To discuss the main pathological types and imaging characteristics of pulmonary nodules that are highly suspected to be malignant in clinical practice but are pathologically confirmed to be benign. Methods A retrospective analysis was performed on the clinical data of patients with pulmonary nodules who were initially highly suspected of malignancy but were subsequently pathologically confirmed to be benign. These patients were treated at the First Affiliated Hospital of Xiamen University from December 2020 to April 2023. Based on the outcomes of preoperative discussions, the patients were categorized into a benign group and a suspicious malignancy group. The clinical data and imaging characteristics of both groups were compared. Results A total of 232 patients were included in the study, comprising 112 males and 120 females, with a mean age of (50.7±12.0) years. Among these, 127 patients were classified into the benign group, while 105 patients were categorized into the suspicious malignancy group. No statistically significant differences were observed between the two groups regarding age, gender, symptoms, smoking history, or tumor history (P>0.05). However, significant differences were noted in nodule density, CT values, margins, shapes, and malignant signs (P＜0.05). Further analysis revealed that in the suspicious malignancy group, solid nodules were predominantly characterized by collagen nodules and fibrous tissue hyperplasia (33.3%), followed by tuberculosis (20.4%) and fungal infections (18.5%). In contrast, non-solid nodules were primarily composed of collagen nodules and fibrous tissue hyperplasia (41.2%) and atypical adenomatous hyperplasia (17.7%). Conclusion Benign pulmonary nodules that are suspected to be malignant are pathologically characterized by the presence of collagen nodules, fibrous tissue hyperplasia, tuberculosis, atypical adenomatous hyperplasia, and fungal infections. Radiologically, these nodules typically present as non-solid lesions and may exhibit features suggestive of malignancy, including spiculation, lobulation, cavitation, and pleural retraction.

Objective To establish an individualized nomogram model and evaluate its efficacy to provide a possible evaluation basis for the prognosis of lower third and abdominal part of oesophageal adenocarcinoma (EAC). Methods Lower third and abdominal part of EAC patients from 2010 to 2015 were chosen from the SEER Research Plus Database (17 Regs, 2022nov sub). The patients were randomly allocated to the training cohort and the internal validation cohort with a ratio of 7∶3 using bootstrap resampling. The Cox proportional hazards regression analysis was used to determine significant contributors to overall survival (OS) in EAC patients, which would be elected to construct the nomogram prediction model. C-index, calibration curve and receiver operating characteristic (ROC) curve were performed to evaluate its efficacy. Finally, the efficacy to evaluate the OS of EAC patients was compared between the nomogram prediction model and TNM staging system. Results In total, 3945 patients with lower third and abdominal part of EAC were enrolled, including 3475 males and 470 females with a median age of 65 (57-72) years. The 2761 patients were allocated to the training cohort and the remaining 1184 patients to the internal validation cohort. In the training and the internal validation cohorts, the C-index of the nomogram model was 0.705 and 0.713, respectively. Meanwhile, the calibration curve also suggested that the nomogram model had a strong capability of predicting 1-, 3-, and 5-year OS rates of EAC patients. The nomogram also had a higher efficacy than the TNM staging system in predicting 1-, 3-, and 5-year OS rates of EAC patients. Conclusion This nomogram prediction model has a high efficiency for predicting OS in the patients with lower third and abdominal part of EAC, which is higher than that of the current TNM staging system.

Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

This comprehensive review systematically explores the multifaceted applications, inherent challenges, and promising future directions of artificial intelligence (AI) within the medical domain. It meticulously examines AI's specific contributions to basic medical research, disease prevention, intelligent diagnosis, treatment, rehabilitation, nursing, and health management. Furthermore, the review delves into AI's innovative practices and pivotal roles in clinical trials, hospital administration, medical education, as well as the realms of medical ethics and policy formulation. Notably, the review identifies several key challenges confronting AI in healthcare, encompassing issues such as inadequate algorithm transparency, data privacy concerns, absent regulatory standards, and incomplete risk assessment frameworks. Looking ahead, the future trajectory of AI in healthcare encompasses enhancing algorithm interpretability, propelling generative AI applications, establishing robust data-sharing mechanisms, refining regulatory policies and standards, nurturing interdisciplinary talent, fostering collaboration among industry, academia, and medical institutions, and advancing inclusive, personalized precision medicine. Emphasizing the synergy between AI and emerging technologies like 5G, big data, and cloud computing, this review anticipates a new era of intelligent collaboration and inclusive sharing in healthcare. Through a multidimensional analysis, it presents a holistic overview of AI's medical applications and development prospects, catering to researchers, practitioners, and policymakers in the healthcare sector. Ultimately, this review aims to catalyze the deep integration and innovative deployment of AI technology in healthcare, thereby driving the sustainable advancement of smart healthcare.

A 71-year-old male presented with esophageal cancer and severe aortic valve regurgitation. Treatment strategies for such patients are controversial. Considering the risks of cardiopulmonary bypass and potential esophageal cancer metastasis, we successfully performed transcatheter aortic valve implantation and minimally invasive three-incision thoracolaparoscopy combined with radical resection of esophageal cancer (McKeown) simultaneously in the elderly patient who did not require neoadjuvant treatment. This dual minimally invasive procedure took 6 hours and the patient recovered smoothly without any surgical complications.

Endoscopic thoracic sympathicotomy/sympathotomy (ETS) is the first-line treatment for palmar hyperhidrosis with best minimally invasive effect. In recent years, with the widespread development of ETS in the treatment of palmar hyperhidrosis, many medical centers list ETS surgery as the day surgery. Nevertheless, there is no expert consensus on medical quality control of day surgery for ETS yet. Therefore, the Chinese Medical Doctor Association Thoracic Surgeons Branch Hyperhidrosis Subcommittee, Sympathetic Neurosurgery Expert Committee of WU Jieping Medical Foundation, and Fujian Provincial Strait Medical and Health Exchange Association Hyperhidrosis Special Committee organized domestic experts to conduct repeated consultations and sufficient discussions based on domestic and foreign literatures, to formulate the "Chinese expert consensus on ETS optimization and surgical quality control of day surgery for palmar hyperhidrosis". It aims to provide a reference for the clinical diagnosis and treatment of palmar hyperhidrosis for thoracic surgery colleagues in our country, to enhance their management level and work efficiency, and ultimately to achieve standardized quality control.

The European Society of Cardiology (ESC) released the "2024 ESC guidelines for the management of elevated blood pressure and hypertension" on August 30, 2024. This guideline updates the 2018 "Guidelines for the management of arterial hypertension." One notable update is the introduction of the concept of "elevated blood pressure" (120-139/70-89 mm Hg). Additionally, a new systolic blood pressure target range of 120-129 mm Hg has been proposed for most patients receiving antihypertensive treatment. The guideline also includes numerous additions or revisions in areas such as non-pharmacological interventions and device-based treatments for hypertension. This article interprets the guideline's recommendations on definition and classification of elevated blood pressure and hypertension, and cardiovascular disease risk assessment, diagnosing hypertension and investigating underlying causes, preventing and treating elevated blood pressure and hypertension. We provide a comparison interpretation with the 2018 "Guidelines for the management of arterial hypertension" and the "2017 ACC/AHA guideline on the prevention, detection, evaluation, and management of high blood pressure in adults."

With the advancement and development of computer technology, the medical decision-making system based on artificial intelligence (AI) has been widely applied in clinical practice. In the perioperative period of cardiovascular surgery, AI can be applied to preoperative diagnosis, intraoperative, and postoperative risk management. This article introduces the application and development of AI during the perioperative period of cardiovascular surgery, including preoperative auxiliary diagnosis, intraoperative risk management, postoperative management, and full process auxiliary decision-making management. At the same time, it explores the challenges and limitations of the application of AI and looks forward to the future development direction.