Objective To explore the necessity of routine chest X-ray (CXR) examination after lung surgery based on patient symptom burden. Methods A retrospective study was conducted on the patients who underwent thoracoscopic lung resection at the Department of Thoracic Surgery of Guangdong Provincial People's Hospital from March 2020 to April 2023. Routine CXR findings obtained within 24 h post-operation, after chest tube removal, and at 1-month post-discharge, as well as subsequent clinical interventions triggered by these examinations, were collected and analyzed. The Perioperative Symptom Assessment Lung (PSA-Lung) inventory was used to quantify symptom burden including pain, dyspnea, and sleep disturbance. Results A total of 2 101 patients were collected, including 986 males and 1 115 females, with a median age of 56 years. The rate of clinical interventions triggered by routine CXR examinations was very low, being 1.0%, 0.5%, and 1.3% within 24 h post-operation, within 12 h after extubation, and at 1-month post-discharge, respectively. One month after discharge, patients in the intervention group exhibited significantly higher scores for dyspnea (3 points vs. 2 points, P=0.015), pain (2 points vs. 1 point, P=0.039), and sleep disturbance (3 points vs. 2 points, P=0.036) compared with the non-intervention group. Conclusion Very few routine postoperative CXR examinations change patients’ management, and patients who need extra-intervention tended to have more severe symptom burden after surgery.

With the widespread adoption of lung cancer screening and growing public awareness, the detection rate of pulmonary nodules has increased substantially, posing new challenges for clinical management. Artificial intelligence (AI) has emerged as a powerful tool across the entire management spectrum of pulmonary nodules. Beyond improving detection sensitivity and consistency in chest radiographs and low-dose CT, AI has demonstrated promising applications in malignancy risk assessment, molecular subtype prediction, preoperative 3D planning, intraoperative navigation, and postoperative monitoring. This review summarizes recent advances in the application of AI to pulmonary nodule screening, longitudinal evaluation, pathology prediction, multi-omics integration, and perioperative management. It also discusses the technical characteristics, clinical performance, current limitations, and future prospects of various AI models. The continuous development of AI is reshaping the clinical pathway of pulmonary nodules toward more efficient and individualized care.

Breast cancer remains one of the most prevalent malignancies among women worldwide,with distant organ metastasis being the leading cause of mortality.The lungs are a common site of metastasis in breast cancer and are associated with significantly poor prognosis.Although notable progress has been made in therapeutic strategies,efficacy remains markedly limited once pulmonary metastasis develops.Therefore,elucidating the molecular mechanisms that drive pulmonary metastasis,characterizing the immune microenvironment,and as-sessing therapeutic responsiveness are critical.Recent advances in multi-omics approaches-including genomics,transcriptomics,proteomics,metabolomics,and epigenetics-have been widely applied to investigate breast cancer metastasis,offering new insights into the complex mo-lecular networks underlying pulmonary dissemination.This review synthesizes current findings on key genes,proteins,metabolites,and epi-genetic regulatory mechanisms involved in the metastatic cascade from a multi-omics perspective.

Objective:To analyze the latent prevalence of hepatitis B and type 2 diabetes and their correlation through an observational study.Methods:This study used a case-control design. The cases with diabetes were recruited through the diabetes management system and village doctors, while the controls without diabetes were screened from volunteers recruited by village health clinics. Capillary blood samples were collected from the study participants for the measurement of real-time blood glucose level, and venous blood samples were taken from them for the detections of HBV serological markers. Firth logistic regression model was used to fit the relationship between HBsAg positive status and diabetes status.Results:The study included 1 218 diabetes patients, 62 patients with impaired fasting glucose and 491 cases without diabetes. In the cases without diagnosis of diabetes, 11.15% had impaired fasting blood glucose and 4.43% had diabetes. Among those who reported no or unknown diagnosis of hepatitis B, 1.73% were positive for HBsAg, while 18.80% were positive for both HBV core antibody and surface antibody, indicating latent infection of hepatitis B virus. In the non-diabetes group, 0.81% reported hepatitis B history, and in the diabetes group, 2.76% reported hepatitis B history. After adjustment, the HBsAg positive rate was higher in the diabetes group ( OR=2.90, 95% CI: 1.21-6.91). Conclusions:Both diabetes and hepatitis B exhibited a high degree of latent prevalence. The HBsAg positive rate was significantly higher in those with diabetes than in those without diabetes, indicating a potential correlation. These findings highlighted the importance of strengthened screening and management of comorbidities.

Objective:Exploration of the immunogenicity and persistence of three different immunization regimens of hepatitis B vaccines in diabetic patients.Methods:Participants with diabetes and non-diabetic individuals were recruited from study sites and assigned to different vaccination regimens: the diabetic group (①D60Yeast0-1: received 60 μg Saccharomyces cerevisiae-derived recombinant HBV vaccine on a 0-1-month schedule; ②D20Yeast0-1-6: received 20 μg Saccharomyces cerevisiae-derived recombinant HBV vaccine on a 0-1-6-month schedule; ③D20CHO0-1-6: received 20 μg Chinese hamster ovary (CHO) cell-derived recombinant HBV vaccine on a 0-1-6-month schedule) and the non-diabetic group (ND20Yeast0-1-6: non-diabetic individuals received 20 μg Saccharomyces cerevisiae-derived recombinant HBV vaccine on a 0-1-6-month schedule). Venous blood samples were collected at 1,12, and 48 months post-full vaccination to measure anti-HBs levels. Differences in immunogenicity between diabetic and non-diabetic groups, as well as among diabetic subgroups, were analyzed.Results:This study enrolled a total of 564 subjects. In the D20CHO0-1-6 group, the seroconversion rate decreased from 90.72% (95% CI: 84.84%-96.60%) at 1 month to 74.23% (95% CI: 65.37%-83.08%) at 48 months, and the antibody geometric mean concentration (GMC) decreased from 676.08 (95% CI: 389.05- 1 148.20) mIU/ml at 1 month to 33.11 (95% CI: 23.44-46.77) mIU/ml at 48 months. In the D20Yeast0-1-6 group, the seroconversion rate declined from 93.81% (95% CI: 89.29%-98.32%) at 1 month to 63.72% (95% CI: 54.71%-72.72%) at 48 months, with antibody GMC dropping from 630.96 (95% CI: 407.40-954.99) mIU/ml to 25.70 (95% CI: 17.78-38.02) mIU/ml over the same period. For the D60Yeast0-1 group, seroconversion rate fell from 82.03% (95% CI: 75.29%-88.77%) to 56.25% (95% CI: 47.54%-64.96%), and antibody GMC decreased from 81.28 (95% CI: 51.29-128.82) mIU/ml to 15.49 (95% CI: 11.75-20.89) mIU/ml between 1 and 48 months. The ND20Yeast0-1-6 group (non-diabetic control) exhibited a higher initial seroconversion rate of 97.56% (95% CI: 94.80%- 100.00%) at 1 month, but it still declined to 76.42% (95% CI: 68.82%-84.03%) at 48 months, with antibody GMC decreasing from 1 318.30 (95% CI: 912.01- 1 905.50) mIU/ml to 34.67 (95% CI: 25.12-47.86) mIU/ml. Multivariate analysis on factors influencing the GMC of antibodies revealed statistically significant differences in antibody GMC between the D20Yeast0-1-6 group and ND20Yeast0-1-6 group at 12 months (a OR=0.73, 95% CI: 0.58-0.93) and 48 months (a OR=0.79, 95% CI: 0.63-0.99) post-vaccination (all P<0.05). As for the diabetic population, when compared with the D20Yeast0-1-6 group, the D60Yeast0-1 group also showed statistically significant differences in antibody GMC at 12 months (a OR=0.57, 95% CI: 0.44-0.74) and 48 months (a OR=0.60, 95% CI: 0.47-0.76)(all P<0.05). Conclusions:The seroconversion rate and antibody GMC gradually decreased over time (1, 12, and 48 months) in the four groups. Diabetic patients showed poor immunogenicity and persistence to hepatitis B vaccines. The immunogenicity and persistence of hepatitis B vaccination in diabetic patients were associated with vaccine type, antigen dose, and vaccination regimen. The CHO cell-recombinant hepatitis B vaccine demonstrated better performance in terms of immunogenicity and persistence among the diabetic population.

Objective:To analyze the latent prevalence of hepatitis B and type 2 diabetes and their correlation through an observational study.Methods:This study used a case-control design. The cases with diabetes were recruited through the diabetes management system and village doctors, while the controls without diabetes were screened from volunteers recruited by village health clinics. Capillary blood samples were collected from the study participants for the measurement of real-time blood glucose level, and venous blood samples were taken from them for the detections of HBV serological markers. Firth logistic regression model was used to fit the relationship between HBsAg positive status and diabetes status.Results:The study included 1 218 diabetes patients, 62 patients with impaired fasting glucose and 491 cases without diabetes. In the cases without diagnosis of diabetes, 11.15% had impaired fasting blood glucose and 4.43% had diabetes. Among those who reported no or unknown diagnosis of hepatitis B, 1.73% were positive for HBsAg, while 18.80% were positive for both HBV core antibody and surface antibody, indicating latent infection of hepatitis B virus. In the non-diabetes group, 0.81% reported hepatitis B history, and in the diabetes group, 2.76% reported hepatitis B history. After adjustment, the HBsAg positive rate was higher in the diabetes group ( OR=2.90, 95% CI: 1.21-6.91). Conclusions:Both diabetes and hepatitis B exhibited a high degree of latent prevalence. The HBsAg positive rate was significantly higher in those with diabetes than in those without diabetes, indicating a potential correlation. These findings highlighted the importance of strengthened screening and management of comorbidities.

Objective:Exploration of the immunogenicity and persistence of three different immunization regimens of hepatitis B vaccines in diabetic patients.Methods:Participants with diabetes and non-diabetic individuals were recruited from study sites and assigned to different vaccination regimens: the diabetic group (①D60Yeast0-1: received 60 μg Saccharomyces cerevisiae-derived recombinant HBV vaccine on a 0-1-month schedule; ②D20Yeast0-1-6: received 20 μg Saccharomyces cerevisiae-derived recombinant HBV vaccine on a 0-1-6-month schedule; ③D20CHO0-1-6: received 20 μg Chinese hamster ovary (CHO) cell-derived recombinant HBV vaccine on a 0-1-6-month schedule) and the non-diabetic group (ND20Yeast0-1-6: non-diabetic individuals received 20 μg Saccharomyces cerevisiae-derived recombinant HBV vaccine on a 0-1-6-month schedule). Venous blood samples were collected at 1,12, and 48 months post-full vaccination to measure anti-HBs levels. Differences in immunogenicity between diabetic and non-diabetic groups, as well as among diabetic subgroups, were analyzed.Results:This study enrolled a total of 564 subjects. In the D20CHO0-1-6 group, the seroconversion rate decreased from 90.72% (95% CI: 84.84%-96.60%) at 1 month to 74.23% (95% CI: 65.37%-83.08%) at 48 months, and the antibody geometric mean concentration (GMC) decreased from 676.08 (95% CI: 389.05- 1 148.20) mIU/ml at 1 month to 33.11 (95% CI: 23.44-46.77) mIU/ml at 48 months. In the D20Yeast0-1-6 group, the seroconversion rate declined from 93.81% (95% CI: 89.29%-98.32%) at 1 month to 63.72% (95% CI: 54.71%-72.72%) at 48 months, with antibody GMC dropping from 630.96 (95% CI: 407.40-954.99) mIU/ml to 25.70 (95% CI: 17.78-38.02) mIU/ml over the same period. For the D60Yeast0-1 group, seroconversion rate fell from 82.03% (95% CI: 75.29%-88.77%) to 56.25% (95% CI: 47.54%-64.96%), and antibody GMC decreased from 81.28 (95% CI: 51.29-128.82) mIU/ml to 15.49 (95% CI: 11.75-20.89) mIU/ml between 1 and 48 months. The ND20Yeast0-1-6 group (non-diabetic control) exhibited a higher initial seroconversion rate of 97.56% (95% CI: 94.80%- 100.00%) at 1 month, but it still declined to 76.42% (95% CI: 68.82%-84.03%) at 48 months, with antibody GMC decreasing from 1 318.30 (95% CI: 912.01- 1 905.50) mIU/ml to 34.67 (95% CI: 25.12-47.86) mIU/ml. Multivariate analysis on factors influencing the GMC of antibodies revealed statistically significant differences in antibody GMC between the D20Yeast0-1-6 group and ND20Yeast0-1-6 group at 12 months (a OR=0.73, 95% CI: 0.58-0.93) and 48 months (a OR=0.79, 95% CI: 0.63-0.99) post-vaccination (all P<0.05). As for the diabetic population, when compared with the D20Yeast0-1-6 group, the D60Yeast0-1 group also showed statistically significant differences in antibody GMC at 12 months (a OR=0.57, 95% CI: 0.44-0.74) and 48 months (a OR=0.60, 95% CI: 0.47-0.76)(all P<0.05). Conclusions:The seroconversion rate and antibody GMC gradually decreased over time (1, 12, and 48 months) in the four groups. Diabetic patients showed poor immunogenicity and persistence to hepatitis B vaccines. The immunogenicity and persistence of hepatitis B vaccination in diabetic patients were associated with vaccine type, antigen dose, and vaccination regimen. The CHO cell-recombinant hepatitis B vaccine demonstrated better performance in terms of immunogenicity and persistence among the diabetic population.

Breast cancer remains one of the most prevalent malignancies among women worldwide,with distant organ metastasis being the leading cause of mortality.The lungs are a common site of metastasis in breast cancer and are associated with significantly poor prognosis.Although notable progress has been made in therapeutic strategies,efficacy remains markedly limited once pulmonary metastasis develops.Therefore,elucidating the molecular mechanisms that drive pulmonary metastasis,characterizing the immune microenvironment,and as-sessing therapeutic responsiveness are critical.Recent advances in multi-omics approaches-including genomics,transcriptomics,proteomics,metabolomics,and epigenetics-have been widely applied to investigate breast cancer metastasis,offering new insights into the complex mo-lecular networks underlying pulmonary dissemination.This review synthesizes current findings on key genes,proteins,metabolites,and epi-genetic regulatory mechanisms involved in the metastatic cascade from a multi-omics perspective.

Tongue diagnosis is an important method of TCM diagnosis and treatment.Tongue is the key link of auxiliary diagnosis of tongue feature extraction and processing,and also is the bottleneck of intelligent tongue diagnosis in traditional Chinese medicine.Using image processing,artificial intelligence technology to the tongue as a quantitative and identify characteristics of traditional Chinese medicine,looking for both conforms to the original thinking of TCM,and TCM tongue diagnosis method of accurately,has become a common concern of traditional Chinese medicine and computer field.From the mobile terminal tongue as auxiliary diagnostic system of traditional Chinese medicine tongue acquisition basic attribute,tongue diagnosis and image information building,tongue like features are required for accurate extraction and so on related key technology is analyzed,and build overall architecture,so as to provide technical reference for the tongue like intelligent diagnosis,promote the development of technology of tongue diagnosis in traditional Chinese medicine modernization.

Objective     To identify the potential factors for psychological burdens and to better understand how the patients’ psychological status affect their treatment preferences. Methods     A questionnaire survey was conducted among 996 patients with pulmonary nodules who visited the Thoracic Surgery Clinic of Guangdong Provincial People's Hospital from January to November 2021, including 381 males and 615 females, aged 47.26±11.53 years. A self-administrated questionnaire was used to investigate the sociodemographic and clinical characteristics of the patients, and the Hospital Anxiety and Depression Scale (HADS) was used to evaluate the psychological status of the patients, with a score>7 points of each subscale indicating potential anxiety or depression. Results     Among the 996 patients with pulmonary nodules, the incidence of anxiety was 42.4% and the incidence of depression was 26.4%, while the incidence of both anxiety and depression was 24.7%. There was a significant correlation between anxiety and depression (ρ=0.834, P<0.05). Age, purpose of CT examination, number of pulmonary nodules and symptoms were independent factors for anxiety, while symptoms and number of pulmonary nodules were independent factors for depression (P<0.05). For treatment preferences, there was a statistical difference in educational level, symptoms, nodule size and anxiety level (P<0.05). Conclusion     Anxiety and depression are common in patients with pulmonary nodules. Symptoms are associated with anxiety and depression, which also make an impact on treatment preferences.