Minor stroke is a common subtype of acute ischemic stroke， primarily defined by a National Institutes of Health Stroke Scale score ≤3 or ≤5. Despite mild clinical symptoms， it carries a risk of early deterioration， and its intravenous thrombolysis strategy has long been controversial. This article systematically summarizes the results of key randomized controlled trials in recent years， which found that although non-inferiority has been confirmed among thrombolytic agents such as alteplase， tenecteplase， and prourokinase， none of these have shown superior functional improvement in the treatment of minor stroke compared with dual antiplatelet therapy or aspirin monotherapy， and they carry safety risks such as symptomatic intracranial hemorrhage. Subgroup analyses suggested potential benefits for patients with a National Institutes of Health Stroke Scale score>3， disabling symptoms， or the large artery atherosclerosis subtype， but the evidence is inconsistent. The limited net benefit of thrombolysis is primarily attributed to heterogeneous definitions， a generally favorable natural prognosis， and the offsetting effect of bleeding risks. Future studies should focus on unifying definitions， leveraging multimodal imaging for precise patient selection， optimizing drug regimens， and ultimately achieving precise stratification and individualized thrombolytic interventions for minor stroke.

OBJECTIVE To formulate the Expert Consensus on the Management of Radiopharmaceuticals in Medical Institutions （hereinafter referred to as “the Consensus”）， focusing on key aspects such as the procurement of radiopharmaceuticals， the management of self-made radiopharmaceutical preparations， standardized clinical application， and patient medication safety management， so as to provide a reference for improving the whole-process management of radiopharmaceuticals in medical institutions.METHODS The Consensus was initiated by the Chinese Society of Nuclear Medicine， the Clinical Pharmacy Professional Committee of the China Anti-Cancer Association， and the Committee of Integrative Oncology Pharmacy of the China Anti-Cancer Association. Organized by the consensus drafting group more than 90 experts from the fields of nuclear medicine， nuclear pharmacy， and pharmacy science across China were involved. The Consensus was developed through systematic review of relevant laws， regulations， policy documents， and existing experience in radiopharmaceutical management， followed by extensive discussion and deliberation to finalize the consensus. RESULTS &CONCLUSIONS The Consensus establishes 10 key points for whole-process management of radiopharmaceuticals in medical institutions， covering organizational management and personnel requirements， procurement， preparation， acceptance， storage， risk prevention and control during use， radiation protection， and waste disposal. The Consensus provides a reference for improving radiopharmaceutical management in medical institutions and for ensuring their efficacy and safety in clinical application.

To address the challenges faced by current brain midline segmentation techniques, such as insufficient accuracy and poor segmentation continuity, this paper proposes a deep learning network model based on a two-stage framework. On the first stage of the model, prior knowledge of the feature consistency of adjacent brain midline slices under normal and pathological conditions is utilized. Associated midline slices are selected through slice similarity analysis, and a novel feature weighting strategy is adopted to collaboratively fuse the overall change characteristics and spatial information of these associated slices, thereby enhancing the feature representation of the brain midline in the intracranial region. On the second stage, the optimal path search strategy for the brain midline is employed based on the network output probability map, which effectively addresses the problem of discontinuous midline segmentation. The method proposed in this paper achieved satisfactory results on the CQ500 dataset provided by the Center for Advanced Research in Imaging, Neurosciences and Genomics, New Delhi, India. The Dice similarity coefficient (DSC), Hausdorff distance (HD), average symmetric surface distance (ASSD), and normalized surface Dice (NSD) were 67.38 ± 10.49, 24.22 ± 24.84, 1.33 ± 1.83, and 0.82 ± 0.09, respectively. The experimental results demonstrate that the proposed method can fully utilize the prior knowledge of medical images to effectively achieve accurate segmentation of the brain midline, providing valuable assistance for subsequent identification of the brain midline by clinicians.
Humans ; Brain/diagnostic imaging* ; Deep Learning ; Image Processing, Computer-Assisted/methods* ; Algorithms ; Magnetic Resonance Imaging/methods* ; Neural Networks, Computer

OBJECTIVE: To study the efficacy of lumbar oblique manipulation in the treatment of lumbar disc herniation with different herniation locations based on MSU classification. METHODS: A total of 272 patients with lumbar disc herniation who were treated from June 2023 to December 2023 were divided into central type group, paracentral type group, and far lateral type group. Among them, there were 73 cases in the central type group, including 41 males and 32 females, with an age of (46.39±6.89) years;161 cases in the paracentral type group, including 88 males and 73 females, with an age of (37.14±5.89) years;and 38 cases in the far lateral type group, including 22 males and 16 females, with an age of (28.56±4.89) years. The visual analogue scale (VAS) and straight leg raising angle of the three groups of patients before treatment, after treatment, and at 1 and 3 months after treatment were recorded, and inter-group, intra-group, and correlation comparisons were made. RESULTS: A total of 272 patients were followed up, with a follow-up time of (3.0±0.2) months. The VAS score of central type patients after treatment was 2(2, 3) points, which was lower than 4(3, 5) points before treatment, and the difference was statistically significant (P<0.05). There was no statistically significant difference between 1 month and 3 months after treatment and before treatment (P>0.05). The VAS score of paracentral type patients after treatment 2(2, 3) points and 1 month after treatment 3(2, 4) points were lower than that before treatment 5(4, 6) points, and the differences were statistically significant (P<0.05). There was no statistically significant difference in VAS between 3 months after treatment and before treatment (P>0.05). There were no statistically significant differences in VAS scores of far lateral type patients before treatment, after treatment, and at 1 and 3 months after treatment (P>0.05). The straight leg raising angle of central type patients after treatment 64(58, 69) and 1 month after treatment 58(52, 65) were significantly different from that before treatment 44(40, 51) (P<0.05);there was no statistically significant difference between 3 months after treatment and before treatment (P>0.05). The straight leg raising angle of paracentral type patients after treatment 61(55, 67)°, 1 month after treatment 61(53, 66)°, and 3 months after treatment 47(41, 56)° were significantly different from that before treatment 44(36, 52)° (P<0.05). There were no statistically significant differences in the straight leg raising angle of far lateral type patients before treatment, after treatment, and at 1 and 3 months after treatment (P>0.05). There was a correlation between VAS and straight leg raising angle in the three groups of patients, but there was no linear relationship. CONCLUSION Lumbar oblique manipulation has a better effect in treating patients with central and paracentral lumbar disc herniation, but a poor effect in treating far lateral type;after treatment, the curative effect of paracentral type patients lasts longer than that of central type patients.
Humans ; Male ; Female ; Intervertebral Disc Displacement/physiopathology* ; Adult ; Lumbar Vertebrae/physiopathology* ; Middle Aged ; Manipulation, Spinal

OBJECTIVES: To construct a Z-score regression model for coronary artery diameter based on echocardiographic data from children in Sichuan Province and to establish a Z-score calculation formula. METHODS: A total of 744 healthy children who underwent physical examinations at Sichuan Provincial People's Hospital from January 2020 to December 2022 were selected as the modeling group, while 251 children diagnosed with Kawasaki disease at the same hospital from January 2018 to December 2022 were selected as the validation group. Pearson correlation analysis was conducted to analyze the relationships between coronary artery diameter values and age, height, weight, and body surface area. A regression model was constructed using function transformation to identify the optimal regression model and establish the Z-score calculation formula, which was then validated. RESULTS: The Pearson correlation analysis showed that the correlation coefficients for the diameters of the left main coronary artery, left anterior descending artery, left circumflex artery, and right coronary artery with body surface area were 0.815, 0.793, 0.704, and 0.802, respectively (P<0.05). Among the constructed regression models, the power function regression model demonstrated the best performance and was therefore chosen as the optimal model for establishing the Z-score calculation formula. Based on this Z-score calculation formula, the detection rate of coronary artery lesions was found to be 21.5% (54/251), which was higher than the detection rate based on absolute values of coronary artery diameter. Notably, in the left anterior descending and left circumflex arteries, the detection rate of coronary artery lesions using this Z-score calculation formula was higher than that of previous classic Z-score calculation formulas. CONCLUSIONS The Z-score calculation formula established based on the power function regression model has a higher detection rate for coronary artery lesions, providing a strong reference for clinicians, particularly in assessing coronary artery lesions in children with Kawasaki disease.
Humans ; Male ; Female ; Child, Preschool ; Child ; Coronary Artery Disease/diagnostic imaging* ; Infant ; Mucocutaneous Lymph Node Syndrome ; Regression Analysis ; Coronary Vessels/diagnostic imaging* ; Echocardiography ; Adolescent

Operation management is an important tool to promote the high-quality development of public hospitals in China.Since the founding of New China,based on China's economic and social development and medical and health system reform,the evolution of operation management of public hospitals in China can be divided into four stages,the system building stage(1949-1978),the liberalization and revitalization stage(1979-1996),the operation mechanism reform stage(1997-2020),and the new stage of high-quality development(2021 present).The development trend of public hospital operation management in future should deepen the public welfare-oriented public hospital operation management,explore the value-oriented medical operation management model based on high-quality development and the refined operation and management model of public hospitals,so as to promote the high-quality development of public hospitals in China.

Urban-rural hospital pairing assistance is a key measure to enhance the service capacity of primary medical institutions.According to the theoretical framework of collaborative governance,this paper systematically an-alyzes the problems existing in the pairing assistance practice process,such as the unbalanced medical resource allo-cation,imperfect coordinated safeguard mechanism,inconsistent pairing assistance subject goals,and lagging pairing assistance information construction.It also proposes to optimize the allocation of medical resources,improve management systems and incentive mechanisms,unify the goals of multiple subjects,and strengthen the informa-tion sharing mechanism.And further provide theoretical and practical references for building a sustainable pairing as-sistance mechanism and promote the high-quality development of the pairing assistance work.

Objective:To investigate the adjunctive diagnostic value of retinal imaging structural parameters combined with apolipoprotein E (ApoE) gene polymorphisms for Alzheimer′s disease (AD).Methods:It was a case-control study, 71 confirmed AD patients who attended the Department of Neurology in Sichuan Provincial People′s Hospital from May 2023 to June 2024 and 156 healthy medical checkups who participated in medical checkups in the Health Management Center were continuously with convenience sampling method; the subjects were included as the AD case group and healthy control group, respectively. Optical coherence tomography (OCT) was used to measure the structural parameters of retinal imaging such as the thickness of the retinal nerve fiber layer (RNFL) and the retinal nerve fiber layer-inner plexiform layer (RNFL-IPL) in the study subjects. Information on demographic characteristics and disease history of the study participants were collected through a questionnaire, and venous blood was collected to test for ApoE gene polymorphisms. The retinal imaging structural parameters, ApoE gene polymorphisms and other related indicators were included in a multifactorial logistic regression model to analyze the main factors affecting the risk of AD. Based on the results of the multifactorial analysis, the receiver operating characteristic (ROC) curves were plotted and the areas under the curve (AUC) were calculated to evaluate the efficacy of different models in the adjunctive diagnosis of AD.Results:Of the 227 study subjects included in the analysis, 153 were females and 74 were males; there were 71 cases in the AD case group with a mean age of (66.73±8.83) years, and there were 156 subjects in the healthy control group with an average age of (61.95±8.21) years. Educational attainment of elementary school and below ( OR=4.683, 95% CI: 2.133-10.282), living visual acuity<0.5 ( OR=2.716, 95% CI: 1.12-6.583), and carrying ≥1 ApoE ε4 genes ( OR=5.331, 95% CI: 2.309-11.891) were positively correlated with the risk of AD. RNFL thickening ( OR=0.923, 95% CI: 0.854-0.998) was negatively associated with the risk of AD (all P<0.05). The AD risk assessment model (Model 4), which included fundus imaging features and ApoE gene polymorphisms, had the highest predictive efficacy (AUC=0.857, P<0.001). Conclusion:Retinal imaging structural parameters differ significantly between AD patients and healthy examinees, and a risk assessment model combining retinal imaging structural parameters and ApoE gene polymorphisms has high predictive value and is expected to serve as an auxiliary diagnostic tool for AD.