1.Teaching thinking of Nursing Psychology from the perspective of narrative medicine
Hong CHEN ; Luodan FAN ; Yanhan YANG ; Yanan MO ; Hua YU
Chinese Journal of Medical Education Research 2022;21(2):223-227
Narrative medicine reform based on narrative pedagogy has became a development trend in foreign medical education,while domestic narrative pedagogy is still in the stage of exploration and development. In view of the problems existing in nursing psychology teaching, based on the new perspective of narrative medicine, on the basis of learning the practical experience of narrative pedagogy at home and abroad, this paper puts forward a new idea of narrative teaching reform of nursing psychology. We discuss and explore the reform of nursing psychology's narrative pedagogy from three aspects: collection and creation of narrative material resources, assisting narrative pedagogy with network platform, and constructing narrative pedagogy procedures in combination with reality.
2.Investigation of radiomics based on 18F-FDG PET/CT in predicting the COG risk stratification of neuroblastoma
Luodan QIAN ; Qinghua REN ; Shuxin ZHANG ; Jun LIU ; Wei WANG ; Ying KAN ; Jie LIU ; Huan MA ; Lei LIU ; Jigang YANG
Chinese Journal of Nuclear Medicine and Molecular Imaging 2021;41(8):460-465
Objective:To explore the value of radiomics based on 18F-fluorodeoxyglucose (FDG) PET/CT in predicting the Children′s Oncology Group (COG) risk stratification of neuroblastoma (NB). Methods:From March 2018 to November 2019, the 18F-FDG PET/CT images of 125 NB children (51 males, 74 females, age: 0.5-10.5 years) confirmed pathologically in Beijing Friendship Hospital were retrospectively analyzed. According to the COG classification, patients were divided into high-risk group and non-high-risk group (including low- and intermediate-risk). Imaging radiomics features were extracted from PET and CT images and screened. Logistic regression was used to build the first model based on radiomics features (R_model) and calculate radiomics score (Rad_score), then build the second model (RD_model) based on Rad_score and demographic features and at last build the third model (RDC_modle) based on Rad_score, demographic features and clinical features. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of these models. Results:The training set contained 94 NB cases (63 high-risk cases, 31 non-high-risk cases), and the validation set contained 31 NB cases (21 high-risk cases, 10 non-high-risk cases). Four radiomics features were obtained by screening, of which two features were based on CT images and the other two features were based on PET images. The area under the curves (AUCs) of the R_model, RD_model and RDC_model in training or validation set were 0.91, 0.94, 0.98 or 0.86, 0.92, 0.95, respectively. The accuracies of the R_model, RD_model and RDC_model in training or validation set were 86%(81/94), 89%(84/94), 93%(87/94) or 84%(26/31), 84%(26/31), 87%(27/31), respectively.Conclusions:Radiomics based on 18F-FDG PET/CT can accurately predict the COG risk stratification of NB. Prediction model of radiomics features combined with demographic and clinical characteristics can further improve the accuracy of predicting NB COG risk stratification, which can help personalized and precise therapy protocol management in NB.
5.Astrocyte-Mediated Myelin Phagocytosis in Ischemia.
Luodan YANG ; Dongyu ZHANG ; Quanguang ZHANG
Neuroscience Bulletin 2023;39(1):167-169
Humans
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Myelin Sheath
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Astrocytes
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Phagocytosis
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Macrophages
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Ischemia
7.Microglia-Mediated Aβ Propagation in Alzheimer's Disease.
Luoman YANG ; Shu FENG ; Chongyun WU ; Luodan YANG
Neuroscience Bulletin 2022;38(10):1274-1276
8.The Lung Microbiome: A Potential Target in Regulating Autoimmune Inflammation of the Brain.
Luoman YANG ; Shu FENG ; Chongyun WU ; Luodan YANG
Neuroscience Bulletin 2022;38(11):1435-1437
Humans
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Microbiota
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Lung
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Inflammation
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Brain
10.Characteristics of Basal Sex Hormone Levels and Anti-müllerian Hormone Levels in 1221 Women of Different Ages:A Retrospective Study on the Law of Women Reproductive Aging in the "Seven-year Period" Theory
Wanshi LIANG ; Yiru LIAO ; Jinghan FU ; Luodan HU ; Hongyan YANG ; Jian LIU ; Fangping CHENG ; Guangning NIE
Journal of Traditional Chinese Medicine 2024;65(13):1369-1374
ObjectiveTo explore the law of women reproductive aging based on theory of "seven-year period" in traditional Chinese medicine(TCM) through analyzing the characteristics of basic sex hormone levels and anti-müllerian hormone levels in women of different ages. MethodsThe data of female who visited Guangdong Provincial Hospital of Traditional Chinese Medicine from January 2018 to December 2022 and accepted basic hormone and anti-müllerian hormone determination were collected retrospectively. According to the age of subjects, they were divided into the "1