1.Use of deep learning model for paediatric elbow radiograph binomial classification: initial experience, performance and lessons learnt.
Mark Bangwei TAN ; Yuezhi Russ CHUA ; Qiao FAN ; Marielle Valerie FORTIER ; Peiqi Pearlly CHANG
Singapore medical journal 2025;66(4):208-214
INTRODUCTION:
In this study, we aimed to compare the performance of a convolutional neural network (CNN)-based deep learning model that was trained on a dataset of normal and abnormal paediatric elbow radiographs with that of paediatric emergency department (ED) physicians on a binomial classification task.
METHODS:
A total of 1,314 paediatric elbow lateral radiographs (patient mean age 8.2 years) were retrospectively retrieved and classified based on annotation as normal or abnormal (with pathology). They were then randomly partitioned to a development set (993 images); first and second tuning (validation) sets (109 and 100 images, respectively); and a test set (112 images). An artificial intelligence (AI) model was trained on the development set using the EfficientNet B1 network architecture. Its performance on the test set was compared to that of five physicians (inter-rater agreement: fair). Performance of the AI model and the physician group was tested using McNemar test.
RESULTS:
The accuracy of the AI model on the test set was 80.4% (95% confidence interval [CI] 71.8%-87.3%), and the area under the receiver operating characteristic curve (AUROC) was 0.872 (95% CI 0.831-0.947). The performance of the AI model vs. the physician group on the test set was: sensitivity 79.0% (95% CI: 68.4%-89.5%) vs. 64.9% (95% CI: 52.5%-77.3%; P = 0.088); and specificity 81.8% (95% CI: 71.6%-92.0%) vs. 87.3% (95% CI: 78.5%-96.1%; P = 0.439).
CONCLUSION
The AI model showed good AUROC values and higher sensitivity, with the P-value at nominal significance when compared to the clinician group.
Humans
;
Deep Learning
;
Child
;
Retrospective Studies
;
Male
;
Female
;
Radiography/methods*
;
ROC Curve
;
Elbow/diagnostic imaging*
;
Neural Networks, Computer
;
Child, Preschool
;
Elbow Joint/diagnostic imaging*
;
Emergency Service, Hospital
;
Adolescent
;
Infant
;
Artificial Intelligence
2.Chemical composition and efficacy of warming lung and resolving fluid retention of Asarum forbesii grown under different shading conditions.
Lu LIAO ; Li-Xian LU ; Hong-Zhuan SHI ; Qiao-Sheng GUO ; Cheng-Hao FEI ; Kun ZHAO ; Yuan-Yuan XING ; Yong SU ; Chang LIU ; Xin-Yue YUAN
China Journal of Chinese Materia Medica 2025;50(2):384-394
Asarum forbesii is a perennial herb born in a shaded and humid environment, which is warm in nature. With the efficacy of warming lung, resolving fluid retention, and relieving coughs, it can be used to treat the syndrome of cold fluid accumulating in lung. To investigate the effects of different shading conditions on the composition and efficacy of A. forbesii, this study planted A. forbesii under 20% natural light(NL20), 40% natural light(NL40), 60% natural light(NL60), and 80% natural light(NL80) and utilized ultra performance liquid chromatography(UPLC) and micro broth 2-fold dilution method to detect the volatile chemical compounds and the minimum inhibitory concentration. At the same time, the study investigated the effects of A. forbesii grown under different shading conditions on the signs, pathological changes of lung tissues, serum cytokine levels, activities of mitochondrial respiratory chain complexes Ⅰ-Ⅴ in lung tissues, and relative expression of related genes of mice with syndrome of cold fluid accumulating in lung. The results indicated that with the increase of shading, the content of kakuol, methyl eugenol, and asarinin in A. forbesii and the antibacterial effect showed a tendency of increasing first and then decreasing, and the NL40 group was significantly better than the other groups. Under the conditions of NL20 and NL40, A. forbesii significantly alleviated the pathological damage to lung tissues, restored the homeostasis of the lung, and enhanced the energy metabolism level of mice with syndrome of cold fluid accumulating in lung. In addition, A. forbesii planted under the two conditions reduced the content of interleukin-8(IL-8), interleukin-13(IL-13), tumor necrosis factor-α(TNF-α), and mucin 5AC(MUC5AC), increased the levels of interleukin-10(IL-10) and aquaporin 1(AQP1), lowered the expression of MMP9, VEGF, TGF-β, and MAPK3. In conclusion, the therapeutic effect of A. forbesii on the syndrome of cold fluid accumulating in lung was positively correlated with the degree of shading, and the chemical composition and efficacy of warming lung and resolving fluid retention were optimal under the conditions of NL20-NL40. This study can provide reference for the pharmacological research and cultivation of A. forbesii.
Animals
;
Mice
;
Lung/pathology*
;
Drugs, Chinese Herbal/administration & dosage*
;
Male
;
Light
;
Cytokines/genetics*
;
Humans
3.Constructing core outcome set for clinical research on traditional Chinese medicine treatment of post-stroke aphasia.
Ya-Nan MA ; Min-Jie XU ; Yu-Ai YANG ; Jian CHEN ; Qiao-Sheng REN ; Ying LI ; Jing-Ling CHANG
China Journal of Chinese Materia Medica 2025;50(1):238-253
According to the principle and current domestic and international construction processes of core outcome set(COS) and the characteristics of post-stroke aphasia, this study built COS with evidence-based support for traditional Chinese medicine(TCM) treatment of post-stroke aphasia. Firstly, a comprehensive review was conducted on the articles about the TCM treatment of post-stroke aphasia that were published in the four major Chinese databases, three major English databases, and three clinical registration centers over the past five years. The articles were analyzed and summarized, on the basis of which the main part of the COS for clinical research on the TCM treatment of post-stroke aphasia was formed. Secondly, clinical doctors and related nursing personnel were interviewed, and important outcome indicators in the clinical diagnosis and treatment process were supplemented to form a pool of core outcome indicators. Two rounds of Delphi surveys were carried out to score the importance of the core outcome indicators in the pool. Finally, a consensus meeting of experts was held to establish the COS for clinical research on the TCM treatment of post-stroke aphasia. The final COS included a total of 268 studies [236 randomized controlled trials(RCTs), 21 Meta-analysis, and 11 clinical registration protocols] and 20 open questionnaire survey results. After two rounds of Delphi surveys, a total of 14 outcome indicators and their corresponding measurement tools were included in the expert consensus meeting. The final expert consensus meeting determined the COS for post-stroke aphasia, which included 9 indicator domains and 12 outcome indicators.
Humans
;
Aphasia/therapy*
;
Stroke/complications*
;
Medicine, Chinese Traditional
;
Drugs, Chinese Herbal/therapeutic use*
;
Treatment Outcome
4.Prognostic value of quantitative flow ratio measured immediately after percutaneous coronary intervention for chronic total occlusion.
Zheng QIAO ; Zhang-Yu LIN ; Qian-Qian LIU ; Rui ZHANG ; Chang-Dong GUAN ; Sheng YUAN ; Tong-Qiang ZOU ; Xiao-Hui BIAN ; Li-Hua XIE ; Cheng-Gang ZHU ; Hao-Yu WANG ; Guo-Feng GAO ; Ke-Fei DOU
Journal of Geriatric Cardiology 2025;22(4):433-442
BACKGROUND:
The clinical impact of post-percutaneous coronary intervention (PCI) quantitative flow ratio (QFR) in patients treated with PCI for chronic total occlusion (CTO) was still undetermined.
METHODS:
All CTO vessels treated with successful anatomical PCI in patients from PANDA III trial were retrospectively measured for post-PCI QFR. The primary outcome was 2-year vessel-oriented composite endpoints (VOCEs, composite of target vessel-related cardiac death, target vessel-related myocardial infarction, and ischemia-driven target vessel revascularization). Receiver operator characteristic curve analysis was conducted to identify optimal cutoff value of post-PCI QFR for predicting the 2-year VOCEs, and all vessels were stratified by this optimal cutoff value. Cox proportional hazards models were employed to calculate the hazard ratio (HR) with 95% CI.
RESULTS:
Among 428 CTO vessels treated with PCI, 353 vessels (82.5%) were analyzable for post-PCI QFR. 31 VOCEs (8.7%) occurred at 2 years. Mean value of post-PCI QFR was 0.92 ± 0.13. Receiver operator characteristic curve analysis shown the optimal cutoff value of post-PCI QFR for predicting 2-year VOCEs was 0.91. The incidence of 2-year VOCEs in the vessel with post-PCI QFR < 0.91 (n = 91) was significantly higher compared with the vessels with post-PCI QFR ≥ 0.91 (n = 262) (22.0% vs. 4.2%, HR = 4.98, 95% CI: 2.32-10.70).
CONCLUSIONS
Higher post-PCI QFR values were associated with improved prognosis in the PCI practice for coronary CTO. Achieving functionally optimal PCI results (post-PCI QFR value ≥ 0.91) tends to get better prognosis for patients with CTO lesions.
5.Exploration and Practice of Performance Evaluation System for Large Medical Equipment Based on Internet of Things Technology.
Chang SU ; Caixian ZHENG ; Linling ZHANG ; Yunming SHEN ; Kai FAN ; Tingting DONG ; Hangyan ZHAO ; Xiaofeng WANG ; Dawei QIAO ; Kun ZHENG
Chinese Journal of Medical Instrumentation 2025;49(2):191-196
Medical equipment, as an important indicator of smart hospital evaluation, plays a vital role in hospital operations. To ensure the safe and efficient operation of medical equipment, a reasonable performance evaluation system is indispensable. This study introduces a platform based on Internet of Things (IoT) technology that connects medical devices and collects data, achieving standardized and structured data processing, and supporting online operational supervision. Through the Delphi method, a performance evaluation system for large medical equipment is constructed, including 4 primary indicators and 22 secondary indicators. DICOM data acquisition devices are used to achieve functions such as efficiency analysis, benefit analysis, usage evaluation, and decision-making support for medical equipment. The study is still in its early stages, and in the future, it is expected to integrate more types of equipment, achieve rational resource allocation, and significantly impact decision-making for the development of public hospitals.
Internet of Things
;
Delphi Technique
6.Erratum: Author correction to "PRMT6 promotes tumorigenicity and cisplatin response of lung cancer through triggering 6PGD/ENO1 mediated cell metabolism" Acta Pharm Sin B 13 (2023) 157-173.
Mingming SUN ; Leilei LI ; Yujia NIU ; Yingzhi WANG ; Qi YAN ; Fei XIE ; Yaya QIAO ; Jiaqi SONG ; Huanran SUN ; Zhen LI ; Sizhen LAI ; Hongkai CHANG ; Han ZHANG ; Jiyan WANG ; Chenxin YANG ; Huifang ZHAO ; Junzhen TAN ; Yanping LI ; Shuangping LIU ; Bin LU ; Min LIU ; Guangyao KONG ; Yujun ZHAO ; Chunze ZHANG ; Shu-Hai LIN ; Cheng LUO ; Shuai ZHANG ; Changliang SHAN
Acta Pharmaceutica Sinica B 2025;15(4):2297-2299
[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].
7.Antibiotic-Depleted Lung Microbiota Modulates Surfactant Proteins Expression and Reduces Experimental Silicosis.
Qiang ZHOU ; Mei Yu CHANG ; Ning LI ; Yi GUAN ; San Qiao YAO
Biomedical and Environmental Sciences 2025;38(4):469-483
OBJECTIVE:
Recent studies have overturned the traditional concept of the lung as a "sterile organ" revealing that pulmonary microbiota dysbiosis and abnormal surfactant proteins (SPs) expression are involved in the progression of silicosis. This study aimed to investigate the relationship between abnormal SPs expression and dysbiosis of lung microbiota in silica-induced lung fibrosis, providing insights into mechanisms of silicosis.
METHODS:
Lung pathology, SPs expression, and microbiota composition were evaluated in silica-exposed mice. A mouse model of antibiotic-induced microbiota depletion was established, and alveolar structure and SPs expression were assessed. The roles of the lung microbiota and SPs in silicosis progression were further evaluated in mice with antibiotic-induced microbiota depletion, both with and without silica exposure.
RESULTS:
Silica exposure induced lung inflammation and fibrosis, along with increased expression of SP-A expression. Antibiotics (Abx)-induced microbiota depletion elevated SP-A and SP-D expression. Furthermore, silica exposure altered lung microbiota composition, enriching potentially pathogenic taxa. However, antibiotic-induced microbiota depletion prior to silica exposure reduced silica-mediated lung fibrosis and inflammation.
CONCLUSION
Lung microbiota is associated with silica-induced lung injury. Overproduction of SP-A and SP-D, induced by Abx-induced microbiota depletion, may enhance the resistance of mouse lung tissue to silica-induced injury.
Animals
;
Silicosis/prevention & control*
;
Lung/metabolism*
;
Mice
;
Anti-Bacterial Agents/pharmacology*
;
Microbiota/drug effects*
;
Silicon Dioxide/toxicity*
;
Mice, Inbred C57BL
;
Male
;
Pulmonary Surfactant-Associated Proteins/genetics*
8.Synaptic Vesicle Glycoprotein 2A Slows down Amyloidogenic Processing of Amyloid Precursor Protein via Regulating Its Intracellular Trafficking.
Qian ZHANG ; Xiao Ling WANG ; Yu Li HOU ; Jing Jing ZHANG ; Cong Cong LIU ; Xiao Min ZHANG ; Ya Qi WANG ; Yu Jian FAN ; Jun Ting LIU ; Jing LIU ; Qiao SONG ; Pei Chang WANG
Biomedical and Environmental Sciences 2025;38(5):607-624
OBJECTIVE:
To reveal the effects and potential mechanisms by which synaptic vesicle glycoprotein 2A (SV2A) influences the distribution of amyloid precursor protein (APP) in the trans-Golgi network (TGN), endolysosomal system, and cell membranes and to reveal the effects of SV2A on APP amyloid degradation.
METHODS:
Colocalization analysis of APP with specific tagged proteins in the TGN, ensolysosomal system, and cell membrane was performed to explore the effects of SV2A on the intracellular transport of APP. APP, β-site amyloid precursor protein cleaving enzyme 1 (BACE1) expressions, and APP cleavage products levels were investigated to observe the effects of SV2A on APP amyloidogenic processing.
RESULTS:
APP localization was reduced in the TGN, early endosomes, late endosomes, and lysosomes, whereas it was increased in the recycling endosomes and cell membrane of SV2A-overexpressed neurons. Moreover, Arl5b (ADP-ribosylation factor 5b), a protein responsible for transporting APP from the TGN to early endosomes, was upregulated by SV2A. SV2A overexpression also decreased APP transport from the cell membrane to early endosomes by downregulating APP endocytosis. In addition, products of APP amyloid degradation, including sAPPβ, Aβ 1-42, and Aβ 1-40, were decreased in SV2A-overexpressed cells.
CONCLUSION
These results demonstrated that SV2A promotes APP transport from the TGN to early endosomes by upregulating Arl5b and promoting APP transport from early endosomes to recycling endosomes-cell membrane pathway, which slows APP amyloid degradation.
Amyloid beta-Protein Precursor/genetics*
;
Membrane Glycoproteins/genetics*
;
Animals
;
Protein Transport
;
Nerve Tissue Proteins/genetics*
;
Humans
;
Mice
;
Endosomes/metabolism*
;
trans-Golgi Network/metabolism*
9.Cloning and interacted protein identification of AP1 homologous gene from Lonicera macranthoides
Ya-xin YU ; Li-jun LONG ; Chang-zhu LI ; Hui-jie ZENG ; Zhong-quan QIAO ; Si-si LIU ; Ying-zi MA
Acta Pharmaceutica Sinica 2024;59(10):2880-2888
The
10.Research on the regulation of ferroptosis in hepatic stellate cells line LX2 by recombinant cytoglobin
Xun-wei DUAN ; Gui-qing XIAO ; Huai-yu CHEN ; Yong ZHANG ; Wen-lin WU ; Yi GAO ; Yong DIAO
Acta Pharmaceutica Sinica 2024;59(8):2237-2244
Intracellular overexpression of cytoglobin (Cygb) has been shown to reduce extracellular matrix deposition and promote liver fibrosis recovery, but its mechanism is not yet clear. This study constructed and expressed a fusion protein (TAT-Cygb) of cell penetrating peptide TAT and Cygb, to investigate the effect of fusion protein TAT-Cygb on regulating hepatic stellate cells (HSCs) ferroptosis. Cultured human hepatic stellate cells line (LX2) were treated with TAT-Cygb and erastin

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