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.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Objective To investigatethe relationship between gastroesophageal reflux disease (GERD) symptoms and clinicopathological characteristics, p53 expression, and survival of Chinese patients with esophageal adenocarcinoma. Methods A total of 3882 patients with esophageal adenocarcinoma, 970 matched patients with esophageal squamous cell carcinoma, and 970 matched patients with gastric cardia adenocarcinoma were included to compare the incidence of GERD symptoms. Patients with esophageal adenocarcinoma were divided into two groups according to the presence and absence of GERD symptoms. The differences in clinicopathological characteristics and p53 expression between the two groups were compared by chi-square test, and the differences in survival between the two groups were compared by landmark analysis. Results The incidence of GERD symptoms increased successively in esophageal squamous cell carcinoma, esophageal adenocarcinoma, and gastric cardia adenocarcinoma. In patients with esophageal adenocarcinoma, the proportions of male, less than 65 years old, lower thoracic tumors, tumors without squamous cell carcinoma, poorly differentiation, early tumors (stage 0-I), and p53-positive tumors in the group with GERD symptoms were higher than those in the group without GERD symptoms; moreover, the long-term survival (≥15 years) was better. Conclusion GERD symptom is an important clinical sign of esophageal adenocarcinoma. It is closely related to specific clinicopathological characteristics, p53 overexpression, and good long-term prognosis.

ObjectiveTo compare the contents and relative molecular weight distributions of proteins and polypeptides in Naoxuekang dropping pills， Huoxue Tongmai capsules and Maixuekang capsules of Hirudo single medicinal preparations， to evaluate the in vitro anticoagulant， antiplatelet and fibrinolytic activities of the three preparations， and to investigate the effects of temperature， pH and digestive enzymes on the anticoagulant activities of the three preparations. MethodsThe contents of soluble proteins and polypeptides in the three preparations were determined by bicinchoninic acid assay（BCA） and Bradford method， and the relative molecular weight distributions of the three preparations were determined by electrophoresis combined with gel chromatography. The antithrombin activity of the three preparations was evaluated by fibrinogen-thrombin time（Fibg-TT） method， and their anticoagulant activities were further assessed by the elongations of activated partial thromboplastin time（APTT）， prothrombin time（PT） and thrombin time（TT）. The antiplatelet aggregation activities of the three preparations were measured by turbidimetry and the fibrinolytic activities were measured by fibrin plate method. Relative TT was used as index to investigate the effects of temperature， pH and digestive enzyme buffer on anticoagulant activities of the three preparations. ResultsAt the lowest single dosage， the contents of proteins and polypeptides were in the order of Maixuekang capsules>Huoxue Tongmai capsules>Naoxuekang dropping pills. Both Huoxue Tongmai capsules and Maixuekang capsules had 11 electrophoretic bands between 4.0 kDa and 90 kDa， the bands of Maixuekang capsules were more clear in the range of >25 kDa， and there was 1 obvious band at 14 kDa for the two capsules. Huoxue Tongmai capsules had one specific band at 9.0 kDa and Maixuekang capsules had one specific band at 48.0 kDa. Naoxuekang dropping pills only had 2 electrophoretic bands at 6.5 kDa and 8.5 kDa， primarily containing peptides below 2 kDa， most of which were oligopeptides. The anticoagulant activity concentrations of the three preparations exhibited a certain dose-dependent effect. At the lowest single dosage， The anticoagulant activity concentrations were ranked as Naoxuekang dropping pills>Huoxue Tongmai capsules>Maixuekang capsules. The prolongation effect of the three preparations on coagulation time was dose-dependent. At the same concentration， the prolongation effect of Naoxuekang dropping pills and Huoxue Tongmai capsules was APTT prolongation rate>TT prolongation rate>PT prolongation rate， whereas for Maixuekang capsules， the sequence was TT prolongation rate>APTT prolongation rate>PT lengthening rate. At the single minimum dosage， the order of APTT prolongation rate was Maixuekang capsules>Huoxue Tongmai capsules≈Naoxuekang dropping pills， the order of PT prolongation rate was Naoxuekang dropping pills≈Maixuekang capsules>Huoxue Tongmai capsules， and the order of TT prolongation rate was Maixuekang capsules>Huoxue Tongmai capsules>Naoxuekang dropping pills. The three preparations showed dose-dependent effects on platelet aggregation induced by adenosine diphosphate（ADP） and arachidonic acid（AA）， and the effect induced by ADP was stronger than that induced by AA. The anti-platelet aggregation effect of Naoxuekang dropping pills was significantly stronger than that of Maixuekang capsules（P<0.01）， whereas Huoxue Tongmai capsules had the effect of promoting platelet aggregation. None of the three preparations had the ability to dissolve fibrin. The anticoagulant activity of Naoxuekang dropping pills was least affected by heating， while the activities of the two capsules decreased significantly within 5 min above 80 ℃， and continued to decrease within 2 h. Compared with pure water， the anticoagulant activities of the three preparations could be increased by 1-3 times under strong acidity（pH 1-3）. In the pepsin buffer， the anticoagulant activity of Naoxuekang dropping pills could be increased by 1-3 times， while the anticoagulant activities of Huoxue Tongmai capsules and Maxuekang capsules were significantly decreased， the lowest levels were about 60% and 20%， respectively. In trypsin buffer， the anticoagulant activities of Naoxuekang dropping pills， Huoxue Tongmai capsules and Maixuekang capsules decreased significantly， and the lowest levels decreased to about 41%， 41% and 35%， respectively. ConclusionThe contents of proteins and polypeptides and relative molecular weights of the preparations derived from lyophilized fresh Hirudo powder， dried Hirudo powder and reflux extract of Hirudo decrease sequentially， and the anticoagulant activity decrease gradually， but the anticoagulant pathway is different. And the anti-platelet aggregation activity of the reflux extract is significantly enhanced. The heat resistance and gastrointestinal stability of the three preparations increase successively， and the first two are suitable for enteric-soluble preparations， while the latter is suitable for routine oral administration. The above results can provide data reference for the rationality of different preparation methods， active substances， pharmacodynamics and mechanism of Hirudo preparations.

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

Objective:To explore the application value of P1 response threshold of cortical auditory evoked potential（CAEP） in evaluating the rehabilitation effect of cochlear implant in young children. Methods:Thirty-three young children after cochlear implantation were divided into groups according to hearing age: Group A（hearing age 1-<2 years old） 10 people; Group B（hearing age 2-<3 years old） 13 people; Group C（hearing age 3-<4 years old） 10 people. The subjective assessment was carried out using the assessment tool for hearing-impaired children- "Criteria and Methods for assessing Auditory and language ability of hearing-impaired children" and objective electrophysiological examination was carried out using CAEP to evaluate the rehabilitation effect. SPSS 25.0 software was used for statistical analysis. Results:The results of subjective assessment of auditory ability and language ability in each group showed an increasing trend with the increase of auditory age. In this study, the P1 response threshold of CAEP in CI implanted children had a significant positive correlation with the 2 kHz hearing threshold after intervention, and the P1 response threshold of CAEP was negatively correlated with many items in subjective auditory ability and language ability assessment. Conclusion:The P1 response threshold of CAEP has a stable correlation with the results of speech audiometry, which can effectively and objectively evaluate the postoperative rehabilitation effect of young children with cochlear implantation.
Humans ; Child, Preschool ; Infant ; Male ; Female ; Evoked Potentials, Auditory ; Cochlear Implantation/rehabilitation* ; Cochlear Implants ; Auditory Threshold

COMPERA 2.0 risk stratification has been demonstrated to be useful in patients with precapillary pulmonary hypertension (PH). However, its suitability for patients at risk for post-capillary PH or PH associated with left heart disease (PH-LHD) is unclear. To investigate the use of COMPERA 2.0 in patients with severe aortic stenosis (SAS) undergoing transcatheter aortic valve replacement (TAVR), who are at risk for post-capillary PH, a total of 327 eligible SAS patients undergoing TAVR at our institution between September 2015 and November 2020 were included in the study. Patients were classified into four strata before and after TAVR using the COMPERA 2.0 risk score. The primary endpoint was all-cause mortality. Survival analysis was performed using Kaplan-Meier curves, log-rank test, and Cox proportional hazards regression model. The study cohort had a median (interquartile range) age of 76 (70‒80) years and a pulmonary arterial systolic pressure of 33 (27‒43) mmHg (1 mmHg=0.133 kPa) before TAVR. The overall mortality was 11.9% during 26 (15‒47) months of follow-up. Before TAVR, cumulative mortality was higher with an increase in the risk stratum level (log-rank, both P<0.001); each increase in the risk stratum level resulted in an increased risk of death (hazard ratio (HR) 2.53, 95% confidential interval (CI) 1.54‒4.18, P<0.001), which was independent of age, sex, estimated glomerular filtration rate (eGFR), hemoglobin, albumin, and valve type (HR 1.76, 95% CI 1.01‒3.07, P=0.047). Similar results were observed at 30 d after TAVR. COMPERA 2.0 can serve as a useful tool for risk stratification in patients with SAS undergoing TAVR, indicating its potential application in the management of PH-LHD. Further validation is needed in patients with confirmed post-capillary PH by right heart catheterization.
Humans ; Aortic Valve Stenosis/complications* ; Aged ; Hypertension, Pulmonary/mortality* ; Male ; Female ; Transcatheter Aortic Valve Replacement ; Aged, 80 and over ; Risk Assessment/methods* ; Proportional Hazards Models ; Kaplan-Meier Estimate ; Retrospective Studies

Approximately 30%-40% of epilepsy patients do not respond well to adequate anti-seizure medications (ASMs), a condition known as pharmacoresistant epilepsy. The management of pharmacoresistant epilepsy remains an intractable issue in the clinic. Its early prediction is important for prevention and diagnosis. However, it still lacks effective predictors and approaches. Here, a classical model of pharmacoresistant temporal lobe epilepsy (TLE) was established to screen pharmacoresistant and pharmaco-responsive individuals by applying phenytoin to amygdaloid-kindled rats. Ictal electroencephalograms (EEGs) recorded before phenytoin treatment were analyzed. Based on ictal EEGs from pharmacoresistant and pharmaco-responsive rats, a convolutional neural network predictive model was constructed to predict pharmacoresistance, and achieved 78% prediction accuracy. We further found the ictal EEGs from pharmacoresistant rats have a lower gamma-band power, which was verified in seizure EEGs from pharmacoresistant TLE patients. Prospectively, therapies targeting the subiculum in those predicted as "pharmacoresistant" individual rats significantly reduced the subsequent occurrence of pharmacoresistance. These results demonstrate a new methodology to predict whether TLE individuals become resistant to ASMs in a classic pharmacoresistant TLE model. This may be of translational importance for the precise management of pharmacoresistant TLE.
Epilepsy, Temporal Lobe/diagnosis* ; Animals ; Drug Resistant Epilepsy/drug therapy* ; Electroencephalography/methods* ; Rats ; Anticonvulsants/pharmacology* ; Neural Networks, Computer ; Male ; Humans ; Phenytoin/pharmacology* ; Adult ; Disease Models, Animal ; Female ; Rats, Sprague-Dawley ; Young Adult ; Convolutional Neural Networks

Objective:To systematically evaluate and integrate the qualitative studies on nurses' experiences with nursing information systems, so as to provide a basis for improving the use and management of nursing information systems.Methods:The qualitative study on nurses' experiences, feelings, and attitudes toward nursing information systems was electronically searched in China National Knowledge Infrastructure, Wanfang Data, VIP, China Biology Medicine disc, PubMed, Web of Science, Cochrane Library, Embase, and PsycINFO. The retrieval period was from database establishment to December 2023. The quality of the literature was evaluated according to the Australia Joanna Briggs Institute Evidence-Based Health Care Centre Quality Assessment Criteria for Qualitative Research (2020). Two researchers independently completed the extraction of data and applied the aggregative synthesis to integrate the results.Results:A total of 10 articles were included. A total of 36 results were extracted, and seven new categories were summarized to form three integrated results, namely, the vertical evolution of technology acceptance attitudes, the "mixed blessing" of information technology, and the future-oriented expectations of users.Conclusions:Managers need to dynamically assess nurses' acceptance of the nursing information system, emphasize nurses' experience of annoyance, reduce their psychological burden, establish a sound feedback mechanism and supportive work environment, and effectively promote the construction of information technology.