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 study the improvement effect and mechanism of Shengmai powder on heart failure （HF） mice with qi-yin deficiency. METHODS The mice were randomly divided into blank group （water）， model group （water）， Shengmai powder low-， medium-， and high-dose groups [2.61， 5.22 and 10.44 g/kg （based on crude drug dosage）] and positive control group （metoprolol， 30 mg/kg）， with 10 mice in each group. Except for the blank group， all other groups were subcutaneously injected with D-galactose， and a qi-yin deficiency HF mice model was established by continuous food restriction and weight-bearing swimming. At the same time of modeling， the corresponding medicine/water was gavaged once a day for five weeks. The general state of mice was recorded and the traditional Chinese medicine （TCM） syndrome score was evaluated. Behavioral experiments were conducted to investigate the total distance of open field action， the percentage of immobility time， and the swimming exhaustion time of mice. The contents of aspartate transaminase （AST）， creatine kinase （CK） and lactate dehydrogenase （LDH） in the serum of mice were detected； cardiac function indexes [heart rate， left ventricular ejection fraction （LVEF）， left ventricular end systolic diameter （LVESD）， left ventricular end diastolic diameter （LVEDD）， left ventricular mass index and whole heart mass index] were all detected； the histopathological morphology of mice myocardium was observed； the level of cardiomyocyte apoptosis in mice was detected； mRNA expression levels of B-cell lymphoma 2 （Bcl-2）， Bcl-2 associated X protein （Bax）， and Cleaved-caspase-3 in myocardial tissue of mice were detected； the phosphorylation levels of sarcoplasmic reticulum calcium regulatory related proteins [ryanodine receptor 2 （RyR2） and phospholamban （PLB）] in myocardial tissue of mice were detected. RESULTS Compared with the blank group， the body weight， total distance of open field action， swimming exhaustion time， LVEF， LVEDD， Bcl-2 mRNA expression level in myocardial tissue and PLB protein phosphorylation level in the model group were significantly reduced/shortened （P＜0.05）； TCM syndrome score， the percentage of immobility time， heart rate， LVESD， left ventricular mass index， whole heart mass index， cardiomyocyte apoptosis rate， the contents of CK， LDH and AST in serum， mRNA expression levels of Cleaved-caspase-3 and Bax and the phosphorylation level of RyR2 protein in myocardial tissue were significantly increased （P＜0.05）； there were inflammatory cell infiltration， disordered cell arrangement and obvious myocardial interstitial fibrosis in myocardial tissue. After the intervention of Shengmai powder， most of the above quantitative indexes in mice were significantly reversed （P＜0.05）， the inflammatory cell infiltration in myocardial tissue was reduced， and the degree of fibrosis was significantly reduced. CONCLUSIONS Shengmai powder can improve cardiac function， reduce the level of cardiomyocyte apoptosis and myocardial fibrosis in HF mice with qi-yin deficiency. Its mechanism may be related to the regulation of the expression of sarcoplasmic reticulum calcium regulation related proteins.

With the rising incidence of breast cancer among women, neoadjuvant chemotherapy (NAC) is becoming increasingly crucial as a preoperative treatment modality, enabling tumor downstaging and volume reduction. However, its efficacy varies significantly among patients, underscoring the importance of predicting pathological complete response (pCR) following NAC. Early research relied on statistical methods to integrate clinical data for predicting treatment outcomes. With the advent of artificial intelligence (AI), traditional machine learning approaches were subsequently employed for efficacy prediction. Deep learning emerged to dominate this field, and demonstrated the capability to automatically extract imaging features and integrate multimodal data for pCR prediction. This review comprehensively examined the applications and limitations of these three methodologies in predicting breast cancer pCR. Future efforts must prioritize the development of superior predictive models to achieve precise predictions, integrate them into clinical workflows, enhance patient care, and ultimately improve therapeutic outcomes and quality of life.
Humans ; Breast Neoplasms/pathology* ; Neoadjuvant Therapy ; Artificial Intelligence ; Female ; Machine Learning ; Deep Learning ; Chemotherapy, Adjuvant ; Treatment Outcome

Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

OBJECTIVE: Lipid oxidation is involved in the pathogenesis of atherosclerosis and may be contribute to the development of Ischemic stroke (IS). However, the lipid profiles associated with IS have been poorly studied. We conducted a pilot study to identify potential IS-related lipid molecules and pathways using lipidomic profiling. METHODS: Serum lipidomic profiling was performed using LC-MS in 20 patients with IS and 20 age- and sex-matched healthy controls. Univariate and multivariate analyses were simultaneously performed to identify the differential lipids. Multiple testing was controlled for using a false discovery rate (FDR) approach. Enrichment analysis was performed using MetaboAnalyst software. RESULTS: Based on the 294 lipids assayed, principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) models were used to distinguish patients with IS from healthy controls. Fifty-six differential lipids were identified with an FDR-adjusted P less than 0.05 and variable influences in projection (VIP) greater than 1.0. These lipids were significantly enriched in glycerophospholipid metabolism (FDR-adjusted P = 0.009, impact score = 0.216). CONCLUSIONS Serum lipid profiles differed significantly between patients with IS and healthy controls. Thus, glycerophospholipid metabolism may be involved in the development of IS. These results provide initial evidence that lipid molecules and their related metabolites may serve as new biomarkers and potential therapeutic targets for IS.
Humans ; Pilot Projects ; Lipidomics ; Male ; Female ; Biomarkers/blood* ; Middle Aged ; Ischemic Stroke/blood* ; Aged ; China ; Lipids/blood* ; Adult ; Case-Control Studies ; East Asian People

Objective Through the combined detection method,we tried to find more sensitive biomarkers for the diagnosis of acute TBI,which might provide the exact diagnosis,treatment and monitoring indicators for the clinic.Methods A total of 156 patients with acute TBI admitted to the Emergency Traumatic Center of Yan'an Hospital of Kunming from October 2022 to June 2023 were collected and included the normal and fracture control groups.Peripheral blood samples of the enrolled patients were collected and monitored,S100β and IL-6 were tested and clinical data such as hs-CRP was collected immediately upon admission,then statistical analysisanalysis was conducted.Results Peripheral blood in patients with acute TBI,The levels of S100β,IL-6 and hs-CRP significantly increased,and the area under the ROC curve for diagnosing acute TBI was 0.944,0.915,and 0.897.The combined detection of the three indicators showed an area under the ROC curve of up to 0.975.Person correlation analysis found a positive correlation between the three indicators,especially S100β with IL-6,The correlation coefficient between them is 0.715.Binary logistic regression analysis found that S100β,IL-6 and hs-CRP are independent risk factors for acute TBI.Conclusions The combined detection of S100β,IL-6 and hs-CRP can effectively improve the sensitivity of acute TBI diagnosis.The mutual promotion of S100β and IL-6 may aggravate the secondary craniocerebral injury caused by inflammatory mechanism,and early targeted treatment may improve the prognosis.

Objective To investigate the results of ambulatory electrocardiographic(ECG)monitoring in a community-based homebound elderly population and to explore the applicability of wearable long-range ambulatory ECG monitor for them.Methods Elderly volunteers were recruited in Shuangbei Community,Shapingba District,Chongqing,from November 2021 to June 2023.A single-lead wearable ambulatory ECG recorder was applied to them to obtain ECG for 7 consecutive days.The adverse reactions,acceptability,monitoring duration,and arrhythmia detection rate during the wearing were described and recorded.Serious arrhythmic events included frequent atrial premature,atrial flutter,atrial fibrillation(AF),frequent ventricular premature,and RR intervals ≥5 s.Results There were 416 individuals enrolled,with a mean age of 71.2±6.6 years,and a male percentage of 36.1％(150 men).Finally,384(92.3％)participants completed the wearing of the ECG monitor for 7 d,with an average time of 159.2±29.4 h.There were 179 participants(48.5％)reporting no discomfort during wearing,and 175 ones(47.4％)feeling itchy at the wearing site.The monitoring results showed that the common arrhythmias were atrial premature contractions(97.1％),premature ventricular contractions(93.3％),atrial tachycardia(84.6％),bradycardia(46.6％),frequent atrial premature contractions(15.1％),ventricular tachycardia(13.2％),and long RR interval(11.8％).Among them,29.1％of the participants experienced serious arrhythmic events,and the detection rate of certain serious arrhythmic events was comparatively higher in the individuals≥70 years of age and those with history of previous cardiac disease.Conclusion The detection rate of common arrhythmias is quite high in the community-based homebound elderly population.A 7-day long-range ambulatory ECG monitoring may be appropriate.

Objective To analyze and construct systolic blood pressure(SBP)fluctuation trajectory in a community population with hypertension and to analyze the factors influencing different trajectories.Methods This is a community-based retrospective cohort study.A latent class trajectory model was used to identify and construct longitudinal trajectories of blood pressure change.Multinomial logistic regression analysis was performed to identify the associated factors of blood pressure trajectories by adjusting for different confounders.Potential confounding factors were identified using a directed acyclic graph based on a priori knowledge.Results A total of 793 patients with hypertension were enrolled in the analysis.They were divided into 3 groups by LCTM-fitted systolic blood pressure trajectories,namely stable low-level group(n=561,70.74％),declining group(n=170,21.44％)and rising group(n=62,7.82％).Significant differences were observed among the 3 trajectories groups in terms of age,frequency of exercise,ways of follow-up,salt intake,compliance behavior,and referral(P＜0.05).Compared to the stable low-level group and adjusting for corresponding confounding factors,the male patients and the patients with"outpatient follow-up"were more likely to be classified into"declining group",with OR and 95％CI of 1.436(1.016～2.030)and 1.702(1.202～2.410),respectively.The participants aged ≥ 65 years,who did not exercise or occasionally exercised,and had moderate and severe salt intake,were more likely to be classified into the"rising group"(OR=1.949,2.284,2.433,4.540,95％CI:1.145～3.317,1.305～3.998,1.272～4.654,1.291～15.963).Conclusion SBP trajectories in community-dwelling hypertensive population can be divided into stable low-level,declining and rising groups.Gender,age,salt intake,exercise frequency,and follow-up methods may be influencing factors for SBP blood pressure trajectory.

Objective To explore the role of mitochondrial autophagy in ovarian inflammation associated with poly-cystic ovary syndrome(PCOS)based on the NOD-like receptor thermoprotein domain-related protein 3(NLRP3)pathway.Methods Human ovarian granulosa cell line SVOG was treated with 25 nmol/L dihydrotestosterone(DHT)for 24 h to establish PCOS cell model.SVOG cells were transfected with adenovirus carrying NLRP3(Ad-NLRP3)and negative vector(Ad-EV)or NLRP3 shRNA(sh-NLRP3)and negative control(sh-NC)to overex-press or knockdown NLRP3.Mito-Tracker staining and GFP-LC3 staining were used to evaluate mitochondrial auto-phagy in cells.TUNEL staining,JC-1 staining and Mito-SOX staining were used to analyze the apoptosis,mito-chondrial membrane potential and mitochondrial-derived superoxide production.32 female BALB/c mice were ran-domly divided into three groups:control(Con)group,DHEA group,DHEA+sh-NC group and DHEA+sh-NL-RP3 group,with 8 mice in each group.Except the control group,all other groups treated mice with dehydroepi-androsterone(DHEA)to establish PCOS mouse model.DHEA+sh-NLRP3 group and DHEA+sh-NC group were administrated with sh-NLRP3 or sh-NC encapsulated in lentivirus at a concentration of 1 x 109 TU/ml via tail vein injection.The ultrastructure of mitochondria in ovarian tissue of mice in each group was observed by transmission e-lectron microscope.Results Compared with DHT+sh-NC group,the level of NLRP3 of SVOG cells in DHT+sh-NLRP3 group decreased(P＜0.05).The co-location of GFP-LC3 and mitochondria in SVOG cells in DHT+sh-NLRP3 group was higher than that in DHT+sh-NC group(P＜0.05).Compared with DHT+sh-NC group,the number of TUNEL positive cells and Mito-SOX fluorescence density of SVOG cells in DHT+sh-NLRP3 group de-creased,and the ratio of polymer JC-1 to monomer JC-1 increased(P＜0.05).Compared with Con+Ad-EV group,the level of NLRP3,the number of TUNEL-positive cells and the fluorescence density of mito-SVOG in Con+Ad-NLRP3 group increased(P＜0.05),and the co-location level of GFP-LC3 and mitochondria decreased;the ratio of polymer JC-1 to monomer JC-1 decreased(P＜0.05).Compared with the control group,TUNEL positive cells,relative ROS intensity and percentage of damaged mitochondria in the ovarian tissue of mice in DHEA group increased(P＜0.05).Compared with DHEA+sh-NC group,TUNEL positive cells,relative ROS intensity and percentage of damaged mitochondria in DHEA+SH-NLRP group decreased(P＜0.05).Conclusion Inhibition of mitochondrial autophagy induced by activation of NLRP3 leads to mitochondrial dysfunction and promotes mito-chondrial-related apoptosis in GCs.Knockdown of NLRP3 is beneficial to mitochondrial homeostasis and improves the resistance of GCs to oxidative stress injury,thus promoting the recovery of PCOS.