OBJECTIVE: To study the clinical characteristics of invasive fungal infection secondary to systemic lupus erythematosus (SLE). METHODS: We observed the clinical features and experimental examination in 91 patients treated in Xiangya Hospital in recent years, of which 48 patients with invasive fungal infection and 41 patients without invasive fungal infection. RESULTS: The invasive fungal infection secondary to SLE mainly occurred in the lungs, nervous system, and urinary system. The fungi were mainly Candida albins and Aspergillus. The rate of invasive fungal infection in SLE patients and the level of CRP and TNF-α in these patients were significantly increased. The occurrence of invasive fungal infection was positively correlated with the prolonged course of disease, long-term use of immunosuppressants and antibiotics, and occurrence of complications, such as hypoproteinemia, leukocytopenia, and so on. The levels of C-reactive protein (CRP) and tumor necrosis factor-α(TNF-α) were increased in SLE patients with invasive fungal infection. CONCLUSION The clinical features of SLE patients with invasive fungal infections are long course of disease, long-time use of immunosuppressants or antibiotics, and occurrence of complications, such as hypoproteinemia or leukopenia. The level of CRP and TNF-α can be used as an important reference index for diagnosing invasive fungal infections.
Adolescent ; Adult ; Aspergillus ; isolation & purification ; C-Reactive Protein ; metabolism ; Candida albicans ; isolation & purification ; Central Nervous System Fungal Infections ; epidemiology ; Child ; China ; Female ; Humans ; Lung Diseases, Fungal ; epidemiology ; Lupus Erythematosus, Systemic ; microbiology ; Male ; Middle Aged ; Mycoses ; complications ; Tumor Necrosis Factor-alpha ; blood ; Young Adult

The molecular pathological indicators play a key role in diagnosis and treatment of diffuse glioma(DG).Rapidly developed artificial intelligence(AI)technology had provided an objective and non-invasive tool for predicting molecular pathology and prognosis of DG.The research progresses of MRI combined with AI technology for predicting important molecular pathology of DG were reviewed in this article.

Objective:To construct a spatial radiomics model based on the spatial distribution characteristics of supratentorial pilocytic astrocytoma (PA) and ganglioglioma (GG) and to evaluate its differential diagnosis efficiency.Methods:The study was a cross-sectional study. A retrospective collection of 244 patients with episodic PA and GG who attended Beijing Tiantan Hospital of Capital Medical University (Center 1) from June 2016 to June 2022 and 116 patients with episodic PA and GG who attended General Hospital of Eastern Theater Command (Center 2) from March 2019 to October 2022 was performed. The patients in Center 1 were divided into a training set (171 patients) and a validation set (73 patients) in a 7∶3 ratio according to the random number table method, and the patients in Center 2 as a whole were regarded as test sets. All patients underwent MRI. Segmentation of tumor based on enhanced T 1WI and T 2WI images, alignment to standard space to generate a statistical parametric mapping of tumor locations and intergroup comparison was conducted. The Johns Hopkins University template was used to extract 189 tumor location features to construct a spatial model of tumor location; PyRadiomic 3.0.1 software was used to extract tumor radiomics features to construct a radiomics model; and the two models were fused to construct a spatial radiomics model. The efficacy of spatial radiomics model, spatial model, and radiomics model to discriminate PA from GG was analyzed using receiver operating characteristic curves and area under the curve (AUC). The generalization ability of the model was assessed by the difference in accuracy between the test sets and the validation sets (ΔACC). The clinical utility of the model was compared using clinical decision curves and calibration curves. Results:The statistical parametric mapping of lesions showed that supratentorial PA was vulnerable to medial structure areas such as suprasellar region, thalamus, basal ganglia and frontal lobe, temporal lobe, parietal lobe. GG was mainly distributed in bilateral temporal lobes, as well as frontal lobe, occipital lobe and parietal lobe. The AUCs of spatial radiomics model, radiomics model and spatial model to identify PA and GG in the test set were 0.876, 0.785, and 0.819, with accuracies of 77.59%, 72.41%, and 77.14%, respectively, and ΔACCs in the test set and validation set were 11.6%, 15.43%, and 6.94%, respectively. The clinical decision curves showed an overall greater clinical benefit of the spatial radiomics model compared with the conventional radiomics model and spatial model.Conclusion:Spatial radiomics model containing spatial information on lesion location can improve the diagnostic efficacy of supratentorial PA and GG, and enhance the generalization of the prediction model.

Objective:To characterize clinical and neuroimaging features, etiologies, and mechanisms of bilateral middle cerebellar peduncle (MCP) infarctions.Methods:Consecutive patients with bilateral MCP infarctions treated in the Beijing Tiantan Hospital, Capital Medical University between January 1, 2020 and April 30, 2022 were enrolled in this retrospective study. The demographic data, vascular risk factors, clincial manifestations and the National Institutes of Health Stroke Scale (NIHSS) scores were collected. Brain diffusion-weighted imaging was used to assess the regions of cerebral infarction, and the extracranial and intracranial segments of the vertebrobasilar artery were evaluated using magnetic resonance angiography, or computed tomography angiography. The stroke etiology and underlying mechanism were evaluated according to the Chinese Ischemic Stroke Subclassification.Results:Ten patients with bilateral MCP infarctions (8 men and 2 women) were analyzed ultimately. The onset age were 51.0-86.0 (64.8±11.4) years. NIHSS scores were 2.0-12.0 (4.9±2.9) points at admission. All patients had vascular risk factors, most of which were hypertension (10 cases) and dyslipoproteinemia (8 cases). The most common clinical manifestations were vertigo (10 cases), followed by ataxia (9 cases) and dysarthria (8 cases). Four cases were isolated bilateral MCP infarctions, while 6 patients were combined with other vertebrobasilar artery infarctions, 4 of which were combined with cerebellar hemisphere infarctions, consistent with the clinical symptoms. The etiology in all patients was large atherosclerosis (severe stenosis or occlusion of V4 segment of vertebral artery and anterior inferior cerebellar artery; 9 cases). Five patients were classified as hypoperfusion/impaired emboli clearance, while 4 patients were considered as artery-to-artery embolism, and 1 was considered as the parent artery (plaque or thrombosis) occluding penetrating artery.Conclusions:Bilateral MCP infarctions are an extremely rare cerebrovascular disease characterized by vertigo, ataxia, and dysarthria. Cerebral infarction can be isolated or often combined with cerebellar hemisphere infarction. The etiology was mostly stenosis or occlusion of V4 segment of vertebral artery and anterior inferior cerebellar artery.

AIM: To investigate the population pharmacokinetic characteristics of capecitabine and its possible influencing factors in Chinese patients of breast cancer. METHODS: 78 cases of Chinese patients with breast cancer were chosen as the objects in this study. Following treatment with capecitabine (0.6 g, 0.15 g/piece, 4 pieces, orally), blood samples were collected and concentrations of capecitabine in plasma were analyzed by high performance liquid chromatography-mass spectrometry (HPLC-MS/MS) method. The nonlinear mixed-effects software (NONMEM) was used to analyze the data and the population pharmacokinetic model was constructed accordingly. RESULTS: The final established model of absorption and elimination is one-compartment model. The clearance (CL/F) in pharmacokinetic formula of the model is as follows: CL/F=291×e

To investigate the clinical characteristics and prognosis for connective tissue disease (CTD) with cryptococcal meningitis (CM). 
 Methods: Clinical data of 18 patients with CTD complicated with cryptococcal meningitis diagnosed by Rheumatology and Immunology Department, Xiangya Hospital, Central South University from January 2000 to January 2017, were retrospectively analyzed.
 Results: The common symptoms of CTD patients with CM were headache, fever, nausea, and vomiting. Patients with severe clinical manifestations, such as convulsions and disturbance of consciousness, all died. Logistic regression analysis showed that disturbance of consciousness and decreased peripheral blood lymphocyte count might be the related factors of poor prognosis of CTD patients with CM (P<0.05). The mortality rate of CTD with CM was 61.11%, and the effective rate of treatment for this disease was 38.89%.
 Conclusion: CTD patients with cryptococcal meningitis have a high risk of death. Severe clinical symptoms, such as disturbance of consciousness and lower peripheral blood lymphocyte count, are associated with its poor prognosis.
Connective Tissue Diseases ; Fever ; Humans ; Meningitis, Cryptococcal ; Retrospective Studies ; Vomiting