With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

ObjectiveThis paper aims to observe the syndrome improvement and negative antigen conversion rate of Qingxuan Daozhi formula in the treatment of influenza in children （heat accumulation in the lung and stomach syndrome）. MethodsThrough a multi-center randomized controlled methodology design，confirmed influenza cases were collected from October 2022 to April 2023 in the pediatrics department of eight hospitals，such as Dongfang Hospital of Beijing University of Chinese Medicine. A total of 180 children with influenza and heat accumulation in the lung and stomach syndrome conforming to the standard were recruited through the clinic. The sick children meeting the inclusion criteria were randomly divided into groups by a block-randomized method. The children in the experimental group were treated with Qingxuan Daozhi formula for five days，and those in the control group were treated with Oseltamivir Phosphate Granules for five days. The primary efficacy indicator was the negative conversion rate of influenza antigen detection. Secondary efficacy indicators were the Canadian acute respiratory illness and flu scale （CARIFS） and the incidence of complications，severe cases， and critical cases. Follow-up observation was conducted on the day of enrollment，48 hours after medication，72 hours after medication， and （6+1） d after medication. ResultsOne hundred and eighty participants were randomly assigned to the experimental group （90 cases） or the control group （90 cases）. All participants were followed up during the study. Comparison of influenza antigen detection results in the primary efficacy indicators showed that the average time of negative influenza antigen conversion in the experimental group was （5.29±1.25） d，and that in the control group was （5.40±1.68） d，without a statistically significant difference. After five days of intervention，52 cases in the experimental group and 51 cases in the control group converted to negative，without a statistically significant difference. CARIFS score results in the secondary efficacy indicators showed that during 72 hours after intervention，there were statistically significant differences between the experimental group and the control group in three dimensions， including headache，muscle soreness， and the need for extra care （P<0.05）. On the （6+1） days after the intervention，the differences in both the experimental group and the control group were statistically significant in 10 dimensions， including sore throat，bad sleep，uncomfortable feeling，poor spirit and fatigue，crying more than usual，the need for extra care，symptom，function，influence on parents，and total score （P<0.05）. The comparison results within the group in the dimensional scores of symptom， function， and influence on parents，as well as the CARIFS total score showed that with the delay of follow-up time，scores of both groups decreased significantly，with a statistically significant difference （P<0.01）. Inter-group comparison results showed that the mean score of the experimental group was higher than that of the control group at the time of enrollment. With the progress of intervention，the score of the experimental group was significantly decreased compared with that of the control group. At the end of follow-up，the mean score of the experimental group was lower than that of the control group，with no statistically significant difference. In terms of the incidence of complications，severe cases， and critical cases， there were no complications，severe cases， and critical cases in the two groups，without a statistically significant difference. ConclusionThe symptom improvement effect and negative antigen conversion rate of Qingxuan Daozhi formula in the treatment of influenza in children （heat accumulation in the lung and stomach syndrome） are not inferior to Oseltamivir Phosphate granules， and children's acceptance is better. It can be more widely used in clinical treatment of influenza in children （heat accumulation in the lung and stomach syndrome）.

This article reports a case of a male patient， aged 60 years， who developed pyrrolizidine alkaloid-induced hepatic sinusoidal obstruction syndrome （PA-HSOS） due to ingestion of Gynura segetum （Lour.） Merr. The patient presented with ascites and abnormal liver function， and a confirmed diagnosis was made based on radiological examination and liver biopsy. Since the patient was allergic to low-molecular-weight heparin and had no response to supportive therapy， low-dose defibrotide was administered as rescue treatment. After treatment， the patient achieved rapid regression of ascites and recovery of liver function， and liver biopsy reexamination showed alleviation of sinusoidal congestion and hepatocyte regeneration. Self-resolving conjunctival hemorrhage occurred during treatment. This case suggests that for patients with contraindications to standard anticoagulation therapy or those showing no response to such treatment， low-dose defibrotide may be used as an effective and relatively safe alternative treatment regimen.

Objective:To construct a questionnaire to measure parents′ behavioral and social drivers (BeSD) in administering rotavirus vaccine to their children, and to test the reliability and validity of the questionnaire.Methods:A questionnaire was constructed to investigate the BeSD of rotavirus vaccination among parents based on the WHO BeSD questionnaire. A survey was conducted among parents of children aged 0-3 years old in vaccination clinics from 15 community health service centers in Nanjing City of Jiangsu Province, Yuhuan and Kaihua Counties of Zhejiang Province, Anqing City of Anhui Province, and Yangpu District of Shanghai City from April to May in 2024. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to analyze the reliability (internal consistency reliability, combination reliability and split half reliability) and validity (structural validity, convergence validity and discriminative validity) of the questionnaire.Results:A total of 850 questionnaires were collected, of which 614 were valid, with an effective response rate of 72.20%. The EFA resulted in the refinement of the rotavirus vaccine BeSD questionnaire from 37 to 35 items (including 24 core items), and suggested a five-factor structure including the perceptions of vaccine, confidence in vaccine, social process of vaccination, motivation for vaccination, and practical problems of vaccination. The cumulative variance contribution rate reached 56.27%. The CFA confirmed an ideal five-factor model fit (GFI=0.82,CFI=0.86,PNFI=0.67,RMSEA=0.07). The AVE of each dimension was greater than 0.50. The AVE square root of each dimension of the questionnaire was greater than its correlation coefficient. The Cronbach′s α coefficient of the total questionnaire was 0.79.Conclusion:The developed BeSD questionnaire of rotavirus vaccine has good reliability and validity, and can be used to measure parents′ behavioral and social factors in administering rotavirus vaccine to their children.

Objective To evaluate the clinical utility of the f-wave to QRS complex amplitude ratio(f/R ratio)in intracardiac electrogram(IC-ECG)-guided positioning of peripherally inserted central catheter(PICC)tips in patients with atrial fibrillation(AF),providing evidence to enhance clinical practice.Methods This study employed a conve-nience sampling method to enroll eligible AF patients admitted to a tertiary hospital in Suzhou from July 2023 to July 2024.During PICC placement,IC-ECG was utilized to monitor f-wave and QRS complex amplitude variations.Following successful catheterization,the f/R ratio was measured,and chest X-ray was performed to confirm the catheter tip position.The accuracy of PICC tip positioning across different f/R ratio ranges was analyzed,and the incidence of arrhythmias was recorded.A receiver operating characteristic curve was constructed to assess the diag-nostic performance of the f/R ratio in PICC tip localization.Results A total of 68 AF patients were included,with f/R ratios ranging from 20.63％to 91.24％.PICC tip positioning accuracy varied significantly across different f/R ratio ranges(P=0.006).The area under the ROC curve(AUC)for f/R ratio in PICC tip positioning was 0.784(P=0.009),with a maximum Youden index of 0.567,an optimal diagnostic threshold of 40.00％,a sensitivity of 81.7％,a speci-ficity of 75.0％,a positive predictive value of 96.1％,and a negative predictive value of 35.3％.No arrhythmias other than AF occurred during the procedure.Conclusion The f/R ratio provides reliable and safe guidance for PICC tip positioning in AF patients.An f/R ratio ≥40％is associated with higher accuracy in identifying the optimal catheter tip position.

Objective:To analyze the willingness and related factors of pregnant women in Shanghai City to receive influenza vaccines during pregnancy.Methods:An online questionnaire survey was conducted among pregnant women who registered in maternal and child health hospitals in 16 districts of Shanghai. The basic information, health status during pregnancy, attitude towards influenza vaccination, and knowledge of influenza and influenza vaccine were collected, and χ2 test and multivariate logistic regression analysis were used to analyze the willingness and related factors of pregnant women to receive influenza vaccines during pregnancy. Results:A total of 3 219 valid questionnaires were received, with 10.90% of pregnant women willing to receive influenza vaccination during pregnancy, 57.50% unwilling to receive vaccination and 31.59% holding an uncertain attitude. Among the pregnant women who were willing to receive the vaccine, 82.91% would take the initiative to know the relevant information about the influenza vaccine, and 87.18% understood the transmission routes of the flu. 32.09% believed that pregnant women could receive the influenza vaccination at any stage of pregnancy. Among those who were unwilling and held an uncertain attitude, the proportions of the above three questions were 47.06%, 83.95% and 17.80%, respectively. Among pregnant women who were unwilling to receive vaccination and held an uncertain attitude, the main reason for their vaccine hesitation was the concern about the safety of the vaccine for pregnant women and fetuses during pregnancy. Multivariate logistic regression analysis showed that pregnant women with higher education ( OR=3.278, 95% CI: 1.678-6.406, P=0.001), second trimester ( OR=1.542, 95% CI: 1.159-2.054, P=0.003), third pregnancy ( OR=2.318, 95% CI: 1.008-5.331, P=0.048), and previous influenza vaccination ( OR=1.552, 95% CI: 1.119-2.152, P=0.008) had a higher willingness to receive influenza vaccines during pregnancy. Conclusion:Pregnant women in Shanghai have a relatively low willingness to receive influenza vaccines during pregnancy, mainly due to concerns about vaccine safety.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

OBJECTIVE: To investigate the effect of different previous treatments on the efficacy of flumatinib in patients with chronic myeloid leukemia (CML). METHODS: The clinical data of 69 patients with CML treated with flumatinib in the Affiliated Hospital of Xuzhou Medical University from 2019 to 2024 were retrospectively analyzed. The patients were divided into a first-line flumatinib group and a first-line non-flumatinib group according to whether flumatinib was used as first-line treatment. The molecular response (MR) at 3, 6 and 12 months of treatment was compared between the two groups to evaluate the early efficacy. The first-line non-flumatinib group was further divided into imatinib group, nilotinib group, and dasatinib group according to the previous first-line drugs used. The efficacy data of these three groups at 3, 6 and 12 months after switching to flumatinib were collected, and the MR was evaluated to compare efficacy differences. RESULTS: The rate of early molecular response (EMR) in the first-line flumatinib group was significantly higher than that in the first-line non-flumatinib group (P < 0.05). At 6 months and 12 months of treatment, the proportion of patients achieving MR 4.5 in the first-line flumatinib group was significantly higher than that in the first-line non-flumatinib group (P < 0.05). Compared with the imatinib and nilotinib groups, the previous dasatinib group showed a significantly higher proportion of patients achieving MR 5.0 at 3, 6, and 12 months after switching to flumatinib (P < 0.05). CONCLUSION Compared with the previous treatment with other tyrosine kinase inhibitors (TKIs), initial use of flumatinib at diagnosis enable patients to achieve deeper molecular remission more rapidly. Compared with previous use of imatinib or nilotinib, previous use of dasatinib is associated with deeper molecular remission after switching to flumatinib.
Humans ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy* ; Retrospective Studies ; Imatinib Mesylate/therapeutic use* ; Dasatinib/therapeutic use* ; Treatment Outcome ; Pyrimidines/therapeutic use* ; Female ; Male ; Protein Kinase Inhibitors/therapeutic use* ; Middle Aged ; Antineoplastic Agents/therapeutic use*

OBJECTIVE: To study the efficacy and prognosis of patients with myelodysplastic/myeloproliferative neoplasms (MDS/MPN) treated with hypomethylating agents (HMA), and to analyze the factors that may affect their efficacy and prognosis, in order to provide a clinical basis for the choice of treatment options for patients with MDS/MPN. METHODS: 35 patients with newly diagnosed MDS/MPN who received hypomethylating therapy from January 2018 to April 2024 in the Department of Hematology of Affiliated Hospital of Xuzhou Medical University were included. The patients were divided into decitabine group (15 cases) and azacitidine group (20 cases) according to the treatment regimen. The efficacy, median overall survival (OS), and median progression-free survival (PFS) of the patients after HMA treatment were evaluated. The differences in efficacy and survival between the two groups were compared, and factors affecting efficacy and prognosis of MDS/MPN patients were analyzed. RESULTS: The overall response rate (ORR) of the 35 MDS/MPN patients treated with HMA was 51.4%. The ORR was 73.3% in decitabine group and 35.0% in azacitidine group, with a statistically significant difference (P =0.041). Survival analysis showed that the median OS was 12 months and the median PFS was 10 months in the entire cohort of the patients. There was no difference in median OS between decitabine group and azacitidine group. The median PFS in decitabine group was 12 months, higher than that in azacitidine group (7 months), but the difference was not statistically significant (P =0.505). Multivariate analysis showed that the treatment regimen and platelet count were independent influencing factors for the efficacy of HAM treatment; The course and therapeutic efficacy of HMA treatment were independent influencing factors for OS in MDS/MPN patients. The main adverse reactions of HMA treatment were myelosuppression and pulmonary infection. Gastrointestinal reactions were more likely to occur in the azacitidine group than in the decitabine group, and the difference was statistically significant (P =0.027). CONCLUSION HMA treatment is effective and well-tolerated in some MDS/MPN patients. Decitabine shows superior efficacy compared with azacitidine and is less likely to cause gastrointestinal reactions. Patients who received ≥4 courses of HMAs and responded to hypomethylating therapy had longer OS.
Humans ; Prognosis ; Decitabine/therapeutic use* ; Azacitidine/therapeutic use* ; Male ; Female ; Myelodysplastic Syndromes/drug therapy* ; Middle Aged ; Myelodysplastic-Myeloproliferative Diseases/drug therapy* ; Antimetabolites, Antineoplastic/therapeutic use* ; Treatment Outcome ; Aged ; Myeloproliferative Disorders/drug therapy* ; Adult ; DNA Methylation

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*