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.

The European Society for Medical Oncology Asia Congress 2024 was held in Singapore from December 6 to 8,2024.The conference unveiled several groundbreaking studies in the field of hepatobiliary and pancreatic tumors,covering clinical applications related to neoadjuvant and adjuvant therapies,translational treatments,later-line therapies,and tumor biomarkers.These studies provide new insights into the clinical diagnosis and treatment of hepatobiliary and pancreatic malignancies and drive the development of related fields.This article focuses on the key topics in hepatobiliary and pancreatic malignancies presented at the conference,aiming to interpret the latest advances in the field and explore the hot issues and future directions for development in this area.

Objective To study the intervention effect of nursing staff's participation in antimicrobial stewardship(AMS)on the rational use of antimicrobial agents,and explore its role in constructing a scientific healthcare-associa-ted infection(HAI)control management.Methods The data on perioperative prophylactic use of antimicrobial agents,surgical-related HAI control,and pathogen detection before therapeutic use of antimicrobial agents among hospitalized patients in a hospital from January 2016 to December 2024 were collected.Relevant evaluation indica-tors before and after nursing staff participating in AMS were compared.2016-2018,2019-2021,and 2022-2024 were stages before intervention,during intervention,and after intervention,respectively.Results After nursing staff participated in AMS,the use rate of prophylactic antimicrobial agents 0.5-1 hour before surgery and discon-tinuation rate of antimicrobial agents within 24 hours after class Ⅰ incision surgery increased from 64.54％and 81.41％before intervention to 75.31％and 84.56％after intervention,respectively.Incidences of surgical-related HAI and surgical site infection in patients decreased from 3.11％and 0.96％before intervention to 1.37％and 0.17％after intervention,respectively.Pathogen detection rates before restricted-and special-grade antimicrobial agents treatment increased from 50.80％and 68.70％before intervention to 55.19％and 80.53％after interven-tion,respectively.Proportion of blood specimen from which coagulase-negative Staphylococcus was detected de-creased from 29.30％before intervention to 21.26％after intervention.Proportion of respiratory specimen from which Haemophilus influenzae was detected increased from 2.00％to 3.98％.Differences were all statistically sig-nificant(all P＜0.05).Conclusion As important members of the AMS team,nursing staff can effectively reduce irrational antimicrobial use,optimize medication timing and duration,and have a positive effect on ensuring patient safety through participating in the use and management of antimicrobial agents in hospitalized patients.

Objective To study the intervention effect of nursing staff's participation in antimicrobial stewardship(AMS)on the rational use of antimicrobial agents,and explore its role in constructing a scientific healthcare-associa-ted infection(HAI)control management.Methods The data on perioperative prophylactic use of antimicrobial agents,surgical-related HAI control,and pathogen detection before therapeutic use of antimicrobial agents among hospitalized patients in a hospital from January 2016 to December 2024 were collected.Relevant evaluation indica-tors before and after nursing staff participating in AMS were compared.2016-2018,2019-2021,and 2022-2024 were stages before intervention,during intervention,and after intervention,respectively.Results After nursing staff participated in AMS,the use rate of prophylactic antimicrobial agents 0.5-1 hour before surgery and discon-tinuation rate of antimicrobial agents within 24 hours after class Ⅰ incision surgery increased from 64.54％and 81.41％before intervention to 75.31％and 84.56％after intervention,respectively.Incidences of surgical-related HAI and surgical site infection in patients decreased from 3.11％and 0.96％before intervention to 1.37％and 0.17％after intervention,respectively.Pathogen detection rates before restricted-and special-grade antimicrobial agents treatment increased from 50.80％and 68.70％before intervention to 55.19％and 80.53％after interven-tion,respectively.Proportion of blood specimen from which coagulase-negative Staphylococcus was detected de-creased from 29.30％before intervention to 21.26％after intervention.Proportion of respiratory specimen from which Haemophilus influenzae was detected increased from 2.00％to 3.98％.Differences were all statistically sig-nificant(all P＜0.05).Conclusion As important members of the AMS team,nursing staff can effectively reduce irrational antimicrobial use,optimize medication timing and duration,and have a positive effect on ensuring patient safety through participating in the use and management of antimicrobial agents in hospitalized patients.

Objective:To investigate the anatomical characteristics of the atlantoaxial joint associated with nonuniform settlement of the C 2 lateral mass (C 2LM-NUS) and its correlation with atlantoaxial osteoarthritis. Methods:A retrospective analysis was conducted on clinical and imaging data of 522 hospitalized patients (288 males, 234 females; mean age 60.8±11.2 years; range 18-83 years) who underwent CT scans of the head/neck or cervical spine at the Second Affiliated Hospital of Army Medical University between January 1, 2022 and December 31, 2022. Multiplanar reconstruction of CT data was performed to measure the settlement of the C 2 lateral mass (C 2LMS). Patients with a difference in bilateral C 2LMS (d-C 2LMS) >1.4 mm were classified into the C 2LM-NUS group (137 cases; 71 males, 66 females; mean age 63.3±11.6 years), while the normal group included 385 patients (217 males, 168 females; mean age 59.9±11.0 years). Imaging parameters of the atlantoaxial joint were measured, including the C 1, 2 coronal inclination angle (C 1, 2 CI), atlanto-dental interval (ADI), lateral atlanto-dental interval (LADI), coronal deviation angle of the odontoid (Od-CDA), and C 1, 2 relative rotation angle (C 1, 2 RRA). Osteoarthritis prevalence was recorded. A normal C 0-C 3 finite element (FE) model was constructed using CT data from a 48-year-old female in the normal group. A C 2LM-NUS FE model was developed based on anatomical differences between the C 2LM-NUS and normal groups, and stress distribution on the C 2 lateral mass articular surface was analyzed under flexion-extension, lateral bending, and axial rotation torques. Results:The C 2LM-NUS group exhibited asymmetric atlantoaxial joint morphology, with bilateral differences in C 1, 2CI and LADI of 8.5°(5.8°, 11.3°) and 0.8(0.1, 1.4) mm, respectively, significantly greater than those in the normal group [1.7°(0.8°, 2.7°) and 0.2(0.1, 0.5) mm, P<0.05]. Od-CDA and C 1, 2RRA were 3.9°(2.0°, 5.4°) and 7.2°(5.0°, 10.0°) in the C 2LM-NUS group, exceeding the normal group's values [0°(0°, 1.0°) and 0°(0°, 5.5°), P<0.05]. The prevalence of C 2LM-NUS was 37.8% in the atlantoaxial osteoarthritis group, significantly higher than in the non-osteoarthritis group (22.8%, P<0.05). Significant differences were observed in age (68.3±9.4 vs. 58.6±10.8 years), sex distribution (50/69 vs. 238/165), and C 1, 2RRA [5.6°(0°, 8.2°) vs. 3.8°(0°, 6.2°)] between the osteoarthritis and non-osteoarthritis groups ( P<0.05). After adjusting for age, sex, and C 1, 2RRA, binary logistic regression identified C 2LM-NUS as an independent risk factor for atlantoaxial osteoarthritis [ OR=2.024, 95% CI (1.300, 3.150), P<0.001]. FE analysis demonstrated a reduced C 1, 2 range of motion in the C 2LM-NUS model, with elevated stress concentrations on the settled side lateral mass during simulated flexion-extension, lateral bending, and rotation. Conclusions:The study indicated that C 2LM-NUS is associated with asymmetric anatomical changes in the atlantoaxial joint, increasing the risk of osteoarthritis. Stress concentration on the C 2 lateral mass articular surface, caused by C 2LM-NUS, is a biomechanical contributor to this heightened risk.

Objective:To clarify the safety, repair rate, durability, and risk factors for recurrent mitral regurgitation(MR) in patients with Barlow disease(BD) who total thoracoscopic minimally invasive mitral valvuloplasty(TMVP).Methods:Clinical data, mid-term and long-term outcomes of BD patients who underwent TMVP at Guangdong Provincial People's Hospital from January 2009 to June 2022 were retrospectively analyzed. Patients were divided into a group with no MR recurrence(group A) and a group with MR recurrence(group B) according to whether recurrent MR appeared in the postoperative period, and the data of the two groups of patients were compared with each other for the risk factor analysis.Results:The repair rate of TMVP was 98.4%, and no patient died perioperatively. The median follow-up time was 3.1(1.7, 5.2) years, the follow-up rate was 95.8%, and there was no patient died. As of March 2023, 112 patients developed no recurrent MR(group A), 11 patients developed recurrent MR(group B), and 2 patients in group B underwent repeated mitral valve surgery. The left atrial diameter(LAD) and left ventricular end-systolic diameter(LVESD) were higher in group B than in group A patients[LAD: (50.9±7.7)mm vs.(43.7±8.7)mm, P=0.009; LVESD: (37.1±5.5)mm vs.(33.2±4.7)mm, P=0.011], and the percentage of tendon cord rupture was higher in group B than in group A( P=0.022), while the rest of the baseline data were not statistically significant. There was no statistically significant difference between two groups in terms of the use of different surgical techniques, aortic cross-clamp time, cardiopulmonary bypass time, and operative time. Postoperative LAD, postoperative LVESD, and postoperative left ventricular end-diastolic diameter of group B patients were higher than those of group A( P<0.05). There was no statistically significant difference in perioperative and long-term complication rates between the two groups. Multifactorial Cox regression analysis revealed that advanced age( HR=1.049, 95% CI: 0.997-1.103, P=0.066) and large preoperative LVESD( HR=1.168, 95% CI: 1.053-1.295, P=0.003) were the risk factors for postoperative recurrence MR. Conclusion:Total thoracoscopic minimally invasive BD repair is safe, which has a high success rate and good long-term results. Advanced age and large preoperative LVESD are risk factors for recurrent MR in the long term.

Although myelin oligodendrocyte glycoprotein (MOG)-IgG is a biological marker for diagnosing MOG antibody-associated disease (MOGAD), the specificity of MOG-IgG in disease diagnosis remains controversial. In clinical practice, there is significant heterogeneity in MOGAD patients with low titer of MOG-IgG and low titer MOG-IgG can even be detected in asymptomatic populations. At the same time, MOG-IgG-positive individuals often combine with the positivity of other multiple autoimmune antibodies in the nervous system. Therefore, the relationship between MOG-IgG and MOGAD is complex, and the pathogenesis of MOGAD may involve immune factors other than MOG-IgG. This article reviews the research progress of MOGAD combined with other neuroimmune antibodies, assisting in the early identification and treatment of such diseases by clinical physicians in the future.

Objective:To explore the clinical symptoms, imaging characteristics, cerebrospinal fluid (CSF) features, as well as the treatment and prognosis of autoimmune glial fibrillary acidic protein (GFAP) astrocytopathy.Methods:Sixty-one patients with anti-GFAP astrocyte antibody (GFAP-IgG) single-positive autoimmune encephalitis who were treated at the Third Affiliated Hospital, Sun Yat-sen University between January 2017 and September 2023 were retrospectively collected. The demographic characteristics (age at onset, sex), clinical symptoms (core symptoms, neurological deficits, psychiatric behavioral abnormalities, and autonomic dysfunction), imaging features [brain/spinal cord/optic nerve magnetic resonance imaging (MRI) lesion distribution and enhancement patterns], and CSF parameters were analyzed. Acute-phase treatments, including methylprednisolone pulse therapy, intravenous immunoglobulin (IVIG), etc, along with the follow-up outcomes [modified Rankin Scale (mRS) score] were recorded.Results:The onset age was 40 (30, 55) years, and 68.9% (42/61) of the patients were male. The most common clinical manifestations were fever (65.6%, 40/61), headache (60.7%, 37/61), and urinary/defecatory abnormalities (45.9%, 28/61). Brain MRI revealed lesions predominantly in the cerebral cortex and subcortical white matter (57.4%, 35/61), periventricular white matter (50.8%, 31/61), and basal ganglia (36.1%, 22/61). Periventricular linear-radiating enhancement was the predominant MRI enhancement pattern (55.7%, 34/61). Spinal MRI showed lesions mainly in the cervical (42.6%, 26/61) and thoracic spinal cord (32.8%, 30/61), with leptomeningeal enhancement (31.1%, 19/61) and scattered punctate/patchy enhancements (21.3%, 13/61). Optic neuropathy was observed in 6 cases (9.8%). CSF analysis demonstrated a pressure of 180 (133, 240) mmH 2O (1 mmH 2O=0.009 8 kPa), white blood cell count of 29 (4, 156)×10?/L, and protein level of 0.72 (0.40, 1.44) g/L. Nineteen patients (31.1%) experienced rapid progression of meningoencephalitis or myelitis within 3 days of admission. All patients received methylprednisolone pulse therapy, with 47.5% (29/61) additionally treated with IVIG. At a follow-up of 12 (3, 28) months, 12 cases (19.7%) relapsed, and 75.4% (46/61) had favorable outcomes (mRS score 0-2). Poor prognosis (mRS score>2) was observed in 4 cases, including 3 with cervical spinal cord involvement and status epilepticus, 1 elderly patient with lung cancer. Conclusions:GFAP astrocytopathy predominantly affects young adults, with a male predominance. Spinal cord involvement is common, manifesting as myelitis and myelopathy. Rapid progression of meningoencephalitis or myelitis may occur early in the disease course. Periventricular linear-radiating enhancement on brain MRI is a key diagnostic clue. Leukocyte and protein levels in the cerebrospinal fluid are generally mildly to moderately elevated. Most patients respond well to corticosteroids and immunotherapy, with favorable outcomes. However, advanced age and cervical spinal cord involvement are associated with poor prognosis.

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

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*