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 investigate the value of serum thymidine kinase 1(TK1),hypoxia-inducible fac-tor-1α(HIF-1α)and squamous cell carcinoma antigen(SCC)in the diagnosis and prognosis of esophageal cancer.Methods A total of 105 patients with esophageal cancer treated in the Qinhuai Medical Zone of East-ern Theater General Hospital from February 2019 to October 2021 were selected as the study group,and 80 healthy subjects were selected as the control group during the same period.The serum levels of TK1,HIF-1αand SCC were compared between study group,control group and patients with different pathological charac-teristics.Patients with esophageal cancer were followed up for 3 years,and the overall survival(OS)and pro-gression-free survival(PFS)were recorded.Receiver operating characteristic curve was used to analyze the di-agnostic efficiency of serum TK1,HIF-1α and SCC combined detection for esophageal cancer,Pearson correla-tion analysis was used to analyze the correlation between the serum indicators,and Kaplan-Meier survival a-nalysis was used to analyze the OS and PFS of patients with different serum levels of TK1,HIF-1α and SCC.Multivariate COX regression was performed to analyze prognostic factors.Results Compared with the control group,the serum TK1,HIF-1α and SCC levels in the study group increased(P＜0.05).The area under the curve(AUC)of serum TK1,HIF-1α,SCC alone and combined for diagnosis of esophageal cancer were 0.893,0.744,0.841,0.922,respectively,and their combined diagnoses of esophageal cancer had the largest AUC.Se-rum TK1,HIF-1α and SCC in patients with different TNM stages and differentiation stages were significantly different(P＜0.05).Serum TK1,HIF-1α and SCC in patients with lymph node metastasis were higher than those without lymph node metastasis(P＜0.05).Serum TK1 was positively correlated with HIF-1α and SCC levels in patients with esophageal cancer(P＜0.05).The survival functions of OS and PFS in TK1,HIF-1αand SCC low expression group were better than those in high expression group(P＜0.05).Multivariate COX regression analysis showed that low differentiation and lymph node metastasis were independent risk factors for poor prognosis in esophageal cancer patients(P＜0.05).Conclusion Serum levels of TK1,HIF-1α and SCC are increased in patients with esophageal cancer,the combined diagnosis of the three is effective.The high expression of TK1 and HIF-1αand SCC will shorten OS and PFS.

A retrospective analysis was conducted on 26 patients with relapsed and refractory multiple myeloma (RRMM) who were treated with carfilzomib-based regimens at Beijing Chaoyang Integrative Medicine Rescue and First Aid Hospital from July 2021 to May 2024. The median number of treatment cycles was 5 (range, 2-8). The overall response rate was 53.8% (14/26). The median follow-up duration was 9.5 months, and the median progression-free survival (PFS) was 8.6 months (range, 1.7-25.2 months). Patients without plasmacytoma recurrence ( n=17) had a PFS of 12.3 months. In contrast, patients with plasmacytoma recurrence ( n=9) had a PFS of 6.2 months. The difference in PFS between these two groups was statistically significant ( P=0.013). Age (over 65 vs. 65 or younger), and treatment line (more than three vs. three or fewer) did not significantly affect treatment efficacy (all P>0.05). Common adverse reactions of grade 3 or higher included hematologic adverse reactions in 10 cases, which improved with symptomatic treatment. Non-hematologic adverse reactions included pulmonary infection (2 cases), renal failure (1 case), and heart failure (1 case). In conclusion, carfilzomib-based regimens demonstrate good clinical efficacy and manageable safety in the treatment of RRMM.

Objective:To develop a deep learning model based on 3D super-resolution reconstruction technology and to analyze its feasibility and effectiveness in predicting paraglottic space invasion in hypopharyngeal cancer.Methods:A retrospective study was conducted involving 382 patients with hypopharyngeal squamous cell carcinoma treated at Qilu Hospital of Shandong University between January 2014 and December 2020. The cohort included 364 males and 18 females, with a mean age of 62±7 years. Patients were divided into a training set ( n=300) and a test set ( n=82) based on enrollment time. A generative adversarial network was used to perform 3D super-resolution reconstruction on contrast-enhanced CT images, improving spatial resolution by 16 times. A 2.5D deep learning strategy was employed to construct Resnet-NR and Resnet-SR models based on conventional and super-resolution images, respectively, to predict whether the paraglottic space was invaded. Model performance was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). A multi-reader multi-case study was conducted to assess the impact of the artificial intelligence (AI) model on clinicians′ diagnostic capabilities. Results:The super-resolution model Resnet-SR achieved the highest accuracy in both the training set (AUC=0.87, 95% CI: 0.84-0.90) and the test set (AUC=0.88, 95% CI: 0.81-0.96), significantly outperforming traditional clinical indicators (T stage, N stage, tumor diameter, and pathological differentiation degree) (AUC range: 0.55-0.70, all P<0.05). In comparison, the conventional-resolution model Resnet-NR achieved AUCs of 0.81 (95% CI: 0.77-0.84, P=0.005) and 0.80 (95% CI: 0.71-0.89, P=0.184) in the training and test sets, respectively. Using Resnet-SR to assist clinical decision-making improved the diagnostic accuracy of junior physicians (AUC=0.793 without AI assistance vs. AUC=0.871 with AI assistance, P=0.012) and significantly reduced diagnosis time for clinicians of all experience levels (86.5 s without AI assistance vs. 82.5 s with AI assistance, t=2.01, P=0.032). Conclusion:This study successfully develops a deep learning model based on 3D super-resolution reconstruction technology, which can assist in preoperative prediction of paraglottic space invasion in hypopharyngeal cancer. The AI-assisted tool improves diagnostic accuracy for junior physicians and enhances diagnostic efficiency for clinicians across all experience levels.

Objective To predict the potential distribution area of Halenia elliptica under current and future climate conditions;To provide a foundation for the sustainable utilization and cultivation of H.elliptica resources.Methods Based on 116 occurrence records and 36 environmental variables,this study employed correlation analysis and contribution rates to identify 10 key environmental factors of H.elliptica.The MaxEnt model,combined with Geographic Information Systems(GIS),was used to predict the potential suitable areas for H.elliptica under current and different future climate scenarios,and centroid shift analysis was performed using SDM_toolbox.Results The MaxEnt model predicted accurately,with an area under the receiver operating characteristic(ROC)curve of 0.968.Altitude,annual precipitation and mean temperature of the coldest season were identified as the primary influencing factors.The current suitable area for H.elliptica was approximately 176.04×104 km2.In the future climate conditions,the suitable habitat of H.elliptica will be moderately adjusted,especially in Sichuan and Xizang.Conclusion In the future,the suitable potential distribution areas for H.elliptica in China will increase,and there will be slight differences in the increment of different suitable potential distribution areas.This study can provide a basis for resource conservation and sustainable utilization,and highlight the importance of dynamic ecological monitoring in the context of global warming.

Objective To investigate the value of low tube voltage and low dose contrast agents combined with artificial intelligence iterative reconstruction(AIIR)in upper limb CT angiography(CTA)for displaying arteriovenous fistula(AVF).Methods Totally 65 patients with chronic renal failure and suspected AVF stenosis who underwent upper limb CTA were prospectively enrolled and randomly divided into conventional-dose group(CD group,n=30)and low-dose group(LD group,n=35).In CD group,CTA was acquired using conventional tube voltage(100 kVp)and contrast agents dosage(1.0 ml/kg body mass),and conventional hybrid iterative reconstruction(HIR)was used to reconstruct images(group A),while in LD group,CTA was collected using 80 kVp and contrast agent dosage of 0.6 ml/kg body mass,and images were reconstructed with HIR(group B)and AIIR(group C),respectively.Then subjective and objective assessment of imaging quality were performed,respectively,the results were compared among groups,while the radiation dose and dosage of contrast agents were compared between CD and LD groups.Results No significant difference of subjective score of imaging quality nor confidence for diagnosing AVF stenosis was found between group A and group C(both P＞0.017),and all the above scores were higher than those in group B(all P＜0.017).Signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of subclavian artery,brachial artery and radial artery in group C were all higher than those in groups A and B(all P＜0.017),while no significant difference of SNR nor CNR was found between group A and B(all P＞0.017).The volume CT dose index,dose length product and dosage of contrast agent in LD group were all lower than those in CD group(all P＜0.001).Conclusion Low tube voltage and low dose contrast agents combined with AIIR in upper limb CTA for displaying AVF could reduce radiation dose and contrast agents dosage under the condition of ensuring imaging quality.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

Mild cognitive impairment due to Alzheimer′s disease is an inevitable pathological stage in the early development of Alzheimer′s disease, which can be classified as "microlumps in the brain collaterals" in traditional Chinese medicine. Based on the theory of latent toxin blocking collaterals, this article discusses the etiology and pathogenesis, clinical sequelae, and traditional Chinese medicine intervention strategies for mild cognitive impairment due to Alzheimer′s disease. The onset of mild cognitive impairment due to Alzheimer′s disease is very similar to the latent pathogen theory, which states that "the latent pathogen is latent and then develops, the poison is deep and difficult to cure, and the development can be recognized but the latent pathogen cannot be detected." Combining clinical experience, our team believes that the basic nature of the disease is a slight deficiency and a slight excess of symptoms. A slight deficiency of the five zang viscera and six fu viscera as root and a latent toxin colling collaterals of qi, fire, phlegm, and blood stasis as manifestaion. These usually start from the qi depression and develop into phlegm coagulation and blood stasis, then end up in latent toxin and gradually become the healthy qi deficiency. Therefore, the deficiency of vital qi and incubation of evil, latent toxin blocking collaterals the pathogenesis of early intervention of this disease should be carried out, upholding the idea that "the upper workman treats the disease before it is diagnosed." The principle of strengthening vital qi to eliminate pathogenic factors, slowing down and promoting pathogenic factors elimination, establishing the method of supporting correctness and wisdom, simultaneously detoxifying and clearing the blood stasis, pattern differentiation as the main and the disease differentiation as the first, combining the disease and pattern, and adjusting the macroscopic and microscopic, focusing simultaneously on eliminating and replenishing, dispel phlegm and remove blood stasis, achieve a strong vital qi and the elimination of evil, and enhance intelligence, delay or even block the progression of mild cognitive impairment due to Alzheimer′s disease, improve patients′ quality of life, and provide a theoretical basis for the early clinical prevention and treatment of Alzheimer′s disease.

Hepatolenticular degeneration， also known as Wilson disease （WD）， is a hereditary disease caused by mutations in the ATP7B gene， leading to copper metabolism disorders. Gene mutations result in impaired synthesis of copper-binding protein， and abnormal excretion of copper through bile leads to pathological deposition of copper in various organs， ultimately causing multi-organ damage. The insidious onset and low specificity of symptoms make it difficult to diagnose this disease. On the basis of existing studies and the theory of latent toxin， this paper proposes that latent toxin in kidney collaterals is the main pathogenesis of renal injury in WD. It is pointed out that health Qi deficiency and latent pathogen are the premises for the occurrence of this disease， and the transformation of latent pathogen into toxin is the ley pathological process. Toxin damaging kidney collaterals is the ultimate result. According to the pathogenesis， this paper proposes the treatment principle of reinforcing healthy Qi and resolving toxin and treatment based on syndrome differentiation. This review provides new ideas for the diagnosis and treatment of renal injury in WD with traditional Chinese medicine.

ObjectiveThis paper aims to use the digital muscle function assessment system Myoton PRO to assess the correlation between muscle tension，clinical characteristics， and traditional Chinese medicine（TCM） syndromes in patients with hepatolenticular degeneration ［also known as Wilson disease（WD）］. MethodsA total of 104 patients with WD accompanied by abnormal muscle tension（increased or decreased，hereinafter the same） who were hospitalized in the Brain Disease Centre of the First Affiliated Hospital of Anhui University of Chinese Medicine from April 2021 to November 2023 were selected，all of whom were subjected to TCM syndrome diagnosis and Myoton PRO for the measurement of F value of muscle tension，Goldstein， and UWDRS-N scales. The age of onset of the disease and disease duration were analyzed，and the differences and correlations of the above indexes in different TCM syndromes of WD were analyzed ResultsAmong the 104 patients with WD ，the phlegm and stasis syndrome was the most common（60 patients），followed by the damp-heat syndrome（33 patients），and the least common was the liver-kidney Yin deficiency syndrome（11 patients）. The F value of the phlegm and stasis syndrome group was higher than that of the liver-kidney Yin deficiency syndrome group and the damp-heat syndrome group（P<0.01）. The F value of the damp-heat syndrome group was higher than that of the liver-kidney Yin deficiency syndrome group（P<0.05），and the F value of the lower limbs of each group was higher than that of the upper limbs（P<0.01）. Goldstein and UWDRS-N scores of the patients in the phlegm and stasis syndrome group were higher than those in the damp-heat syndrome group and the liver-kidney Yin deficiency syndrome group（P<0.05）. There was no significant difference between the Goldstein and UWDRS-N scores of patients in the liver-kidney Yin deficiency syndrome group and the damp-heat syndrome group. Correlation analysis revealed that the age of onset and duration of the disease were positively correlated with the F values of the lower limbs（r=0.20，P<0.05，r=0.38，P<0.01）and had no significant correlation with those of the upper limbs. The F value levels of muscle tension of all limbs in the three groups of patients were positively correlated with the Goldstein and UWDRS-N scores（muscle tension of the upper limbs in the phlegm and stasis syndrome group，r=0.36，P<0.01，r=0.42，P<0.01. muscle tension of the lower limbs in the phlegm and stasis syndrome group，r=0.70，P<0.01，r=0.60，P<0.01. muscle tension of the upper limbs in the damp-heat syndrome group，r=0.64，P<0.01，r=0.53，P<0.01. muscle tension of the lower limbs in the damp-heat syndrome group，r=0.59，P<0.01，r=0.70，P<0.01. muscle tension of the upper limbs in the liver-kidney Yin deficiency syndrome group，r=0.70，P<0.01，r=0.74，P<0.01. muscle tension of the lower limbs in the liver-kidney Yin deficiency syndrome group，r=0.85，P<0.01，r=0.62，P<0.01）. Conlusion： The digital muscle function assessment system Myoton PRO can objectively evaluate the muscle tension level of patients with WD accompanied by abnormal muscle tension. This level has significant differences among different TCM syndromes and can evaluate the patient's condition to some extent.