Chronic post-surgical pain (CPSP) is a common long-term complication following lung surgery. Its high incidence significantly impacts patients’ quality of life and functional recovery, and imposes a substantial socioeconomic burden. This consensus aims to systematically establish a standardized integrated Chinese and Western medicine diagnostic and treatment framework for chronic post-lung surgery pain (CPLSP). Based on the latest domestic and international evidence-based medical research and multidisciplinary clinical experience, the working group comprehensively elaborates on core issues regarding CPLSP, including its definition, epidemiology, pathogenesis, clinical assessment, Western medical treatment, traditional Chinese medicine (TCM) treatment, and integrated strategies. The consensus emphasizes a patient-centered approach, adhering to the principles of multimodality, individualization, and stepwise management, highlighting the synergistic advantages of integrating Chinese and Western medicine throughout the entire perioperative management cycle encompassing "perioperative anti-inflammation, acute analgesia, and chronic rehabilitation." Through systematic literature retrieval and evidence integration, a total of 9 core recommendations were established to provide scientifically sound and clinically practical guidance.

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 analyse the clinical efficiency of endolymphatic sac surgery (ESS) in the management of Meniere’s disease (MD). Methods A retrospective analysis was conducted on 274 patients with MD who were hospitalized for treatment in Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University from January 2009 to August 2023. All patients received lifestyle management and drug treatment such as diuretics. For those whose conditions were not well controlled 3 to 6 months after the initial treatment, intratympanic glucocorticoid (ITG) or ESS treatment was carried out. Six months after the treatment, the classes of vertigo relief and hearing changes in the patients were evaluated. After adjusting the confounding factors through propensity score matching (PSM), the impact of ESS on the prognosis of MD patients was evaluated. Results Among 274 patients, 194 and 80 patients underwent ITG and ESS, respectively. Eighty patients were enrolled into each group after PSM. Before and after PSM, the rate of patients reaching vertigo relief class A in ESS group was higher than that in the ITG group (P＝0.004); there was no significant difference in hearing preservation between the two groups. Kaplan-Meier curve analysis showed that vertigo relief in the ESS group was better than that in the ITG group (P=0.029); there was no statistically significant difference in hearing preservation between the two groups. Conclusion When the initial treatment for patients with MD is ineffective, choosing ESS is more beneficial than ITG for controlling vertigo.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective To explore the sex differences in drug metabolism of sufentanil in Chinese patients based on the mutation classification of cytochrome P450 3A(CYP3A)enzymes.Methods According to the possible effects of combined cytochrome P450 3A4 gene*1G locus(CYP3A4*1G)and cytochrome P450 3A5 gene*3 locus(CYP3A5*3)mutation groups on Chinese population,we added different weights to CYP3A4*1G and CYP3A5*3 polymorphisms and classified patients into 3 groups:GroupⅠ,patients carried either the CYP3A4*1G/*1G allele or both CYP3A4*1/*1G allele and CYP3A5*3/*3 allele;Group Ⅱ,patients with both CYP3A4*1/*1G allele and CYP3A5*1/*3 allele;Group Ⅲ,patients with either the CYP3A4*1/*1 allele or both CYP3A4*1/*1G allele and CYP3A5*1/*1 allele.A single-dose,double-blind,stratified random sampling was performed,and 255 patients undergoing endoscopic surgery in the First Affiliated Hospital of Army Medical University were finally subjected.According to the results of genetic testing,an independent statistician,before operation,randomly selected 30 patients from each stratified group to form a study cohort(male-female ratio of 1∶1)and named each group A,B or C.Clinical investigators and subjects kept double-blind to the results of grouping and genetic testing.After entering the operating room,the subjected 90 patients received a single dose of sufentanil followed by collection of blood samples at 10 time points including 2 min before and from 2 to 120 min after administration.After the surgery,we determined the plasma drug concentration,calculated the pharmacokinetic parameters,and compared the metabolic differences between different genders in each group and unblinded the study.Results The cohort best fitted the two-compartment pharmacokinetic model,and groups A,B and C corresponded to group Ⅰ,Ⅱand Ⅲ,respectively.In different patient groups based on mutatron types of CYP3A enzymes the females had lower plasma drug concentration-time curves at each time point,higher systemic clearance(P≤0.01)and smaller area under the plasma concentration-time curve from zero to infinity(P＜0.05)when compared with the males.In addition,in group Ⅰ,the elimination rate of central compartment and movement rate of drug from central compartment to peripheral compartment were obviously greater in the females than the males(P＜0.05),while the distribution half-life(P＜0.05)and elimination half-life(P＜0.01)were notably longer in the males than the females.In both group Ⅱ and group Ⅲ,the males obtained larger total area under the plasma concentration-time curve than the females(P＜0.05).Conclusion There are sex differences in the drug metabolism of sufentanil in Chinese patients.Women show faster distribution and higher clearance of sufentanil while men present greater drug exposure.Preoperative CYP3A genotyping and intraoperative personalized medication are of great significance to ensure the safety in clinical practice.

Objective To rvaluate the therapeutic efficacy of balloon-dilatation covered stents in the treatment of renal artery stenosis(RAS).Methods The clinical data of 30 patients with RAS,who received intravascular ultrasonography(IVUS)-guided LifeStream balloon-dilatation covered stent implantation at the Affiliated Central Hospital of Dalian University of Technology(Dalian Municipal Central Hospital)of China from August 2022 to December 2023,were retrospectively analyzed.The various parameters of the lumen and the stent were measured,and the performance of the stent was evaluated.Results The minimum original blood vessel diameter below the base of the stenotic segment plaque was 5.40(5.17,5.80)mm and the maximum blood vessel diameter was 6.20(5.80,6.93)mm,which became 6.00(5.80,6.00)mm and 7.90(6.00,8.00)mm respectively after stent release,the differences were statistically significant(both P＜0.05).Before stent release the luminal eccentricity index was(14.72±9.37)％,which was(1.54±9.16)％after stent release,the difference was statistically significant P＜0.05).The instant stent symmetry after stent release was(82.69±14.61)％,and the stent expansion factor was(99.81±10.70)％.Ideal narrow coverage rate was obtained.During operation,poor stent adhesion occurred in 2 patients and renal artery rupture with bleeding occurred in one patient,which were solved after immediate re-expansion treatment.Spearman's correlation analysis showed that stent symmetry,stent expansion factor,and stent eccentricity index did not linearly correlate with the lumen cross-sectional area stenosis rate and the plaque eccentricity index(all P＞0.05).Conclusion For the treatment of RAS,the LifeStream balloon-dilatation covered stent is clinically safe,feasible,and effective with satisfactory immediate clinical outcomes.

Background::Growth retardation is a common complication of chronic kidney disease in children, which can be partially relieved after renal transplantation. This study aimed to develop and validate a predictive model for growth patterns of children with end-stage renal disease (ESRD) after kidney transplantation using machine learning algorithms based on genomic and clinical variables.Methods::A retrospective cohort of 110 children who received kidney transplants between May 2013 and September 2021 at the First Affiliated Hospital of Zhengzhou University were recruited for whole-exome sequencing (WES), and another 39 children who underwent transplant from October 2021 to March 2022 were enrolled for external validation. Based on previous studies, we comprehensively collected 729 height-related single-nucleotide polymorphisms (SNPs) in exon regions. Seven machine learning algorithms and 10-fold cross-validation analysis were employed for model construction.Results::The 110 children were divided into two groups according to change in height-for-age Z-score. After univariate analysis, age and 19 SNPs were incorporated into the model and validated. The random forest model showed the best prediction efficacy with an accuracy of 0.8125 and an area under curve (AUC) of 0.924, and also performed well in the external validation cohort (accuracy, 0.7949; AUC, 0.796). Conclusions::A model with good performance for predicting post-transplant growth patterns in children based on SNPs and clinical variables was constructed and validated using machine learning algorithms. The model is expected to guide clinicians in the management of children after renal transplantation, including the use of growth hormone, glucocorticoid withdrawal, and nutritional supplementation, to alleviate growth retardation in children with ESRD.

Transcranial magnetic stimulation(TMS)is a non-invasive brain stimulation technique which could improve cognitive and memory function in patients with Alzheimer's disease(AD)to some extent.The targeting errors of traditional TMS were often significant.Utilizing various MR techniques could accurately visualize localization information of brain structures and functions,hence being helpful for precise TMS.The progresses of MR-guided TMS for treating AD were reviewed in this article.

Objective:To compare the efficacy of amide proton transfer-weighted (APTw) imaging with time-dependent diffusion MRI (td-dMRI) in the diagnosis of malignant breast lesions.Methods:This study was a cross-sectional study. The clinical, pathological and imaging data of patients with breast lesions admitted to the First Affiliated Hospital of Zhengzhou University from March to August 2023 were prospectively analyzed. All patients firstly underwent T 2WI, diffusion-weighted imaging, followed by dynamic contrast-enhanced MRI (DCE-MRI), and finally APTw imaging and td-dMRI were performed for breast lesions using DCE-MRI as reference. Reconstructed images from APTw imaging measured lesions with a frequency shift of 3.5 ppm asymmetric magnetic susceptibility MTR asym(+3.5 ppm). The apparent diffusion coefficient (ADC) values at different oscillating frequency gradients (ADC PGSE, ADC 17 Hz, ADC 33 Hz values) were measured using reconstructed td-dMRI images. Independent sample t-test was used to compare APTw imaging, td-dMRI parameter differences between benign and malignant breast tumors, breast malignant tumors with different molecular types [estrogen receptor (ER) negative and positive, progesterone receptor (PR) negative and positive, human epidermal growth factor receptor (HER-2) negative and positive, proliferation index (Ki-67) low and high expression] and different histological grades (grade Ⅱ and Ⅲ). Receiver operating characteristic curve and area under the curve (AUC) were used to evaluate the efficacy of APTw imaging and td-dMRI parameters in differentiating benign and malignant breast tumors, molecular classification and histological grading of malignant breast lesions. Results:There were 171 lesions in 171 patients, including 103 malignant lesions and 68 benign lesions. Histological grades were grade Ⅱ in 51 cases and grade Ⅲ in 38 cases of 89 cases of invasive carcinoma. Totally 98 cases of malignant lesions were included in molecular typing analysis, 36 cases were ER negative and 62 cases were ER positive. PR was negative in 51 cases and positive in 47 cases. There were 33 negative HER-2 patients, 65 positive HER-2 patients. There were 50 cases of low Ki-67 expression and 48 cases of high Ki-67 expression. The MTR asym(+3.5 ppm) value of malignant breast lesions was higher than that of benign lesions ( t=5.76, P<0.001), and the ADC PGSE, ADC 17 Hz and ADC 33 Hz values were lower than those of benign breast lesions ( t was 4.84, 4.62, 4.01, respectively, all P<0.001). MTR asym(+3.5 ppm) had the highest AUC value (0.83) and the highest specificity (90.38%), and ADC PGSE had the highest sensitivity (85.86%). There were no significant differences in MTR asym(+3.5 ppm), ADC PGSE, ADC 17 Hz and ADC 33 Hz between grade Ⅱ and grade Ⅲ histological grades of malignant breast lesions (all P>0.05). The ADC PGSE value of ER negative was higher than that of ER positive ( t=2.34, P=0.018), and the AUC for distinguishing ER positive from negative was 0.64. The ADC PGSE and ADC 17 Hz values of PR negative were higher than those of PR positive ( t=2.87, 2.81, P=0.004, 0.006, respectively), and their AUCs for identifying PR positive versus negative breast malignant lesions were 0.68 and 0.67, respectively. The ADC 33 Hz value of negative HER-2 was lower than that of positive HER-2 ( t=3.00, P=0.003), and the AUC for distinguishing positive and negative HER-2 was 0.67. There were no significant differences in other parameters among different subtypes of breast malignant lesions (all P>0.05). Conclusion:Compared with td-dMRI, APTw imaging is more effective in differentiating benign and malignant lesions of breast tumors, and ADC values at different gradient oscillation frequencies obtained by td-dMRI show better diagnostic efficacy in differentiating different molecular types of breast malignant lesions.