Objective To evaluate the efficiency of intra-tumor and peri-tumor ultrasound radiomics models based on machine learning algorithms for predicting benign and malignant Breast Imaging Reporting and Data System (BI-RADS) 4 breast lesions, and provide insights into early diagnosis of breast cancer. Methods A retrospective analysis was conducted based on the medical records of 450 female patients who underwent breast ultrasound examination in the Affiliated Cancer Hospital of Xinjiang Medical University from June 2020 to April 2022. The patients were divided into the benign (n = 199) and malignant (n = 195) groups according to pathological examination, and randomized into the training (n = 275) and validation (n = 119) sets at a ratio of 7∶3. Radiomics features were extracted and screened. Intra-tumor, peri-tumor, and intra-tumor + peri-tumor ultrasound radiomics models were constructed based on three machine learning algorithms, including logistic regression (LR), support vector machine (SVM), and multi-layer perceptron (MLP). Receiver operating characteristics (ROC) curves, calibration curves, and decision curves were plotted to evaluate the efficacy of the radiomics models for prediction of benign and malignant breast lesions. Results A total of 17 intra-tumor, 16 peri-tumor, and 17 intra-tumor + peri-tumor radiomics features were selected for model construction. Based on LR, MLP, and SVM algorithms, the intra-tumor + peri-tumor radiomics models showed higher predictive efficacy than intra-tumor and peri-tumor radiomics models. The predictive efficacy of intra-tumor, peri-tumor, and intra-tumor + peri-tumor radiomics models were higher based on the SVM algorithm than based on LR and MLP algorithms. For the intra-tumor radiomics model based on the SVM algorithm, the area under the ROC curve (AUC), accuracy, sensitivity, and a specificity were 0.909, 0.851, 0.860, and 0.842, respectively, in the training set and 0.866, 0.832, 0.847, and 0.817, respectively, in the validation set. For the peri-tumor radiomics model based on the SVM algorithm, these values were 0.899, 0.855, 0.882, and 0.827, respectively, in the training set and 0.844, 0.815, 0.847, and 0.783, respectively, in the validation set. For the intra-tumor + peri-tumor radiomics model based on the SVM algorithm, these values were 0.943, 0.876, 0.860, and 0.892, respectively, in the training set and 0.881, 0.849, 0.915, and 0.783, respectively, in the validation set. Conclusion The intra-tumor and peri-tumor ultrasound radiomics models based on machine learning algorithms are highly valuable for prediction of benign and malignant BI-RADS 4 breast lesions. The intra-tumor + peri-tumor ultrasound radiomics model based on the SVM algorithm has the optimal efficacy for prediction of benign and malignant BI-RADS 4 breast lesions.

OBJECTIVE To investigate the feasibility of ultra-high resolution CT(U-HRCT)in demonstrating and evaluating ethmoidal foramen in the medial wall of the orbit.METHODS Nine cadavers(18 side orbits)fixed in 10%buffered formalin were enrolled and underwent U-HRCT and multislice helical CT(MSCT).Subjective and objective evaluations of image quality were performed by two experienced radiologists independently.Anterior,middle,and posterior ethmoidal foramen(AEF,MEF,and PEF)were recorded and the distance among them was measured.RESULTS The results of subjective and objective evaluations were not significant differences between evaluators and consistency was strong.CNR of U-HRCT and MSCT were 43.09±8.87 and 11.04±0.66 and SNR were 2.13±1.45 and 0.55±0.13,respectively.CNR and SNR of U-HRCT were significantly higher than MSCT(P<0.05).Objective scores of the U-HRCT and MSCT groups were 10.00 points(9.00 points,10.00 points)and 6.00 points(5.75 points,7.00 points).Objective scores of the U-HRCT were higher than MSCT(P<0.05).All eighteen AEF were shown by U-HRCT and MSCT.Among 18 PEF showed by U-HRCT,17 of them demonstrated by MSCT,and no significant difference was found in the display rate between groups(P>0.05).Nine MEF(7 single hole and 2 double holes)were found by U-HRCT,but only 2 of them were shown by MSCT.The MEF display rate of U-HRCT was higher than MSCT(P<0.05).The distance from MEF to AEF,from MEF to PEF,and from AEF to PEF were(9.43±1.13)mm,(4.75±1.09)mm,(14.18±1.14)mm,respectively.CONCLUSION U-HRCT is better to evaluate ethmoidal foramen than MSCT.It could be used to show the number and position of ethmoidal foramen before surgery to avoid complications.

Bupleuri radix is the dried root of Bupleuri radix or narrow-leaved Bupleuri radix of the umbelliferae family,and it is the most commonly used traditional Chinese medicine,which was first published in Shennong's Classic of Materia Medica.It has a variety of pharmacological effects such as anti-inflammatory,antioxidant,hepatoprotective,antitumor,antidepressant,et al.In the modern study,the extract of Bupleuri radix mainly includes a variety of chemical components such as Bupleuri radix saponin,flavonoids and volatile oil.By reviewing the relevant literature at home and abroad,this paper summarizes the research progress on the chemical composition and pharmacological effects of Bupleuri radix,and points out the future research direction to provide a certain reference basis for the subsequent research.

Objective To analyze the diagnostic values of H2FPEF and HFA-PEFF scores for heart failure with preserved ejection fraction(HFpEF)and HFpEF complicated with atrial fibrillation(HFpEF-AF)in Chinese patients and explore the related factors.Methods A cross-sectional study was conducted.A total of 835 consecutive HFpEF patients treated in the Department of Geriatric Cardiology,the First Hospital of Lanzhou Uni-versity from 2009 to 2020 were selected and assigned to a HFpEF-AF group(n =267)and a HFpEF group(n = 568)according to the presence of AF or not.HFA-PEFF and H2FPEF scores were used for retrospective diagnosis and the diagnostic consistency of the two scores was assessed.One hundred and thirty-six healthy volunteers with age and sex matching the patients during the same period were selected as healthy controls.The receiver operating characteristic(ROC)curves were established for H2FPEF and HFA-PEFF scores in diagnosing HFpEF-AF and HFpEF,on the basis of which the diagnostic performance of the two scores was evaluated.Results There was no difference in the HFA-PEFF score between the two groups(P =0.070).However,the HFpEF-AF group had higher mean H2FPEF score and higher proportion of patients with the score no less than 6 than the HFpEF group(P<0.001).According to the ROC curves,HFA-PEFF and H2FPEF scores demonstrated high perform-ance in diagnosing all HFpEF patients,with the area under the curve(AUC)of 0.892 and 0.922 and the opti-mal cut-offs of 4 and 4,respectively.The HFA-PEFF score showed similar performance in diagnosing HFpEF and HFpEF-AF,with the AUC of 0.899 and 0.911,respectively.The H2FPEF score had higher performance in di-agnosing HFpEF-AF(AUC of approximately 1.000)and low performance in diagnosing HFpEF(AUC of 0.885).Conclusions The HFA-PEFF score is applicable in the diagnosis of both HFpEF and HFpEF-AF.The H2FPEF score may underestimate HFpEF in Chinese patients,and its applicability in the Chinese patients with HFpEF alone remains to be investigated.

Objective:To investigate the clinical features, diagnostic methods, treatment modalities, and prognosis of parathyroid multiglandular disease (PTMGD) in primary hyperparathyroidism (PHPT) .Methods:The clinical data of 29 patients with PTMGD who underwent surgery at the General Surgery Department of the Tianjin Medical University General Hospital from Dec. 2015 to Jul. 2023 were retrospectively analyzed, including the patients' preoperative and postoperative blood calcium and parathyroid hormone, the main clinical manifestations, the involvement of other systems, the main types of pathology, the accuracy of the various examinations, and the postoperative prognosis, etc., and were compared with the 291 patients who had undergone surgery for single-glandular lesion patients were compared. SPSS25 was used to analyze the data.Results:The age of onset of PTMGD was 52.7±1.9 years compared to 56.6±0.7 years in patients with monoglandular disease, P=0.047. Tumor diameter of PTMGD was (2.05±0.1) cm and (2.34±0.6) cm of monoglandular disease, P=0.006. The preoperative blood calcium was (2.56±0.59) mmol/L in PTMGD and (2.70±0.58) mmol/L in monoglandular disease, P=0.045. Preoperative parathyroid hormone (PTH), blood calcium, and Win values were positively correlated with maximum tumor diameter in patients with PTMGD (R-values of 0.362, 0.223, and 0.352, respectively) .Neck ultrasound, neck-enhanced CT and parathyroid nuclear imaging were used to localize and diagnose the diseased parathyroid glands in this group of cases.The accuracy rates were (14/25) 56%, (10/19) 53% and (11/24) 46% in patients with PTMGD, while in patients with monoglandular disease, the accuracy rates were (233/250) 89%, (131/152) 96% and (223/232) 86%. PTMGD accuracy rate was less than that of monoglandular disease,and was statistically significant ( P-value was less than 0.001 in all cases) .The accuracy of the combined localization diagnosis of the three tests in patients with PTMGD was then improved to (13/18) 72%. The pathology of PTMGD was predominantly parathyroid hyperplasia, 45/72 (63%), compared to that of monoadenopathy 18/291 (6%), P<0.001. Parathyroid adenomas predominated in patients with monoadenopathy compared to that of PTMGD, 237/291 (82%) vs. 24/72 (33%), and the proportion of parathyroid adenomas in patients with monoadenopathy was higher than that in patients with PTMGD, P<0.001. 23 patients with PTMGD were followed up, of whom 9 showed mild elevation of parathyroid hormone postoperatively, and 1 patient showed signs of hypoparathyroidism. Conclusion:The low age of onset of multiglandular lesions in primary hyperparathyroidism, mild biochemical tests, and the difficulty of accurately locating all lesions preoperatively warrant adequate preoperative evaluation to promptly identify patients with familial multiple endocrine adenomas, as well as intraoperative bilateral parathyroid exploration in patients with suspected multiglandular lesions.

Obstructive sleep apnea(OSA)is a common sleep disorder,and its pathophysiological mechanism complex and not fully understood.This article elaborately explores three categories of OSA animal models:natural,direct and indirect,emphasizing their advantages and disadvantages in simulating OSA pathophysiological processes.Natural OSA models primarily focus on spontaneous upper airway obstructions.Direct OSA models induce OSA through direct obstruction of the airway,while indirect OSA models mainly investigate the impacts of chronic intermittent hypoxia(IH)and sleep deprivation(SD)on the organism.Although these models have played a pivotal role in studying the pathophysiological mechanisms of OSA and developing new therapeutic methods,they also present certain limitations and challenges.Future research directions include the development of non-invasive monitoring technologies,establishing OSA-combined models,and the application of gene-editing technologies,aiming to more comprehensively and accurately simulate the complexity and diversity of human OSA,providing more insights into its mechanisms and developing new therapeutic methods.

Neurodegenerative diseases are a type of disease characterized by specific types of neuronal loss and progressive progression,mainly represented by Alzheimer's disease and Parkinson's disease.This type of disease,due to its intractable and irreversible symptoms,brings great physical and psychological burden to patients,which is seriously disturbing their normal life.In terms of treatment,there is currently no specific treatment for Alzheimer's disease in clinical practice,and first-line treatment drugs for Parkinson's disease also have great limitations.In traditional Chinese medicine,kidney governs bone,generates marrow,and connects to the brain.In clinical evidence typing,premature aging,fatigue and forgetfulness,and tremor of limbs caused by kidney deficiency and medullary reduction are considered to be the main pathologies of these diseases.Di-Huang-Yin-Zi decoction which is derived from the"General Records of Holy Universal Relief",is recorded as a good formula for nourishing kidney yin and filling kidney yang.Clinical data shows that this formula has significant therapeutic effects in treating neurodegenerative diseases caused by kidney essence deficiency.Modern research results indicate that its mechanism of action involves inhibiting inflammatory reactions,regulating mitochondrial autophagy,reversing The hypothalamic-pituitary-adrenal axis abnormalities,and neuroprotection.The main effective ingredients in this formula include loganin,echinarin,and schisandrin A.This article aims to summarize and analyze the clinical efficacy,mechanism of action,and active ingredients of Di-Huang-Yin-Zi decoction in the treatment of Alzheimer's and Parkinson's disease in recent years,in order to clarify the research status of Di-Huang-Yin-Zi decoction in the neurodegenerative disease and provide reference for further research.

Purpose/Significance To classify the elderly according to their heterogeneous health status,and to explore the potential categories and influencing factors status,so as to promote the precision of health information services for the elderly.Method/Process Based on the data of the China health and retirement longitudinal study(CHARLS)database in 2018,the elderly are classified according to their health status by the method of latent class analysis,and the main influencing factors are identified by regression analysis.Result/Conclusion The elderly could be divided into 4 categories according to their health status.Age,sex,education level and retirement sta-tus are significant factors affecting the health grouping of the elderly.According to the heterogeneous health characteristics of the elderly,the service optimization strategy should be provided to promote the physical and mental health of the elderly.

Cognitive impairment refers to the abnormality of the hippocampus， cortex and other parts of the brain， which is manifested by the decline of cognitive abilities such as learning， memory and attention. With the increase in people's work pressure and bad living habits， the incidence of cognitive impairment is getting higher and higher， which seriously affects people's normal life. However， there are adverse reactions such as gastrointestinal reactions and extrapyramidal reactions in Western drug treatment for cognitive impairment. Therefore， the development of a drug with relatively minimal adverse reactions is of great significance. Traditional Chinese medicine （TCM） has the characteristics of "multi-component， multi-pathway and multi-target"， and the incidence of adverse reactions is relatively low. Studies have shown that the pathogenesis of cognitive impairment is closely related to oxidative stress， inflammation， apoptosis， autophagy and other processes of neurons in the cerebral cortex and hippocampus. Phosphatidylinositol 3-kinase （PI3K）-protein kinase B （Akt） signal pathway plays an important role in the transmission of intracellular and intracellular signals， and in the regulation of cellular inflammation， apoptosis， autophagy， etc. TCM monomers， TCM extracts， and TCM compounds exert anti-inflammatory， antioxidant， anti-apoptotic and autophagy regulation effects by regulating the PI3K/Akt signaling pathway to improve cognitive impairment. This review first summarized the composition and regulatory process of the PI3K/Akt signaling pathway， and then discussed the research progress on the improvement of cognitive impairment through the improvement of oxidative stress， inflammation， apoptosis and autophagy of neurons. Finally， the recent research status of the regulation of this signaling pathway by TCM extracts， TCM monomers and TCM compounds to improve cognitive impairment was summarized. This study provides a theoretical basis for the future study of new TCM related to cognitive impairment.

The emergence and evolution of digital intelligent technology has profoundly influenced the development of minimally invasive research-oriented hepatobiliary and pancreatic surgery discipline. Over various periods, our team has always adhered to the principle of "being oriented by clinical issues and driven by clinical needs", continuously carried out innovative research across interdisciplinary boundaries, propelling the evolution of digital intelligent technology. Spanning over two decades, this journey includes the progression from digital virtual human, three-dimensional visualization, molecular fluorescence imaging, augmented reality and mixed reality, artificial intelligence, to the realm of human visualization meta-universe. This evolution facilitates the shift from two-dimensional empirical diagnoses of hepatobiliary and pancreatic surgical diseases to deep learning intelligent diagnostics, the transition from morphology-based tumor diagnoses to molecular imaging-based diagnostics, and from conventional empirical surgery to intelligent navigation surgery. The authors provide a comprehensive review of our developmental process and achievements within the realm of digital intelligent diagnostic and therapeutic technologies, with the aims to promote the development and application of digital intelligent medicine.