Objective To validate the diagnostic performance and risk stratification ability of an AI-based recognition system(PE-AI)for pulmonary embolism(PE)using computed tomography pulmonary angiography(CTPA)so as to analyze its diagnostic value in clinical practice.Methods A total of 416 patients with suspected PE who underwent CTPA from January 1,2023 to December 10,2023 at our hospital were included in this study.Two junior radiologists and PE-AI separately detected and diagnosed emboli in the collected cases by double-blind method,and recorded the diagnosis time respectively.Three senior radiologists reviewing with clinical follow-up results were used as the gold standard in this study.Diagnostic performance was evaluated by using the receiver operating characteristic(ROC)curve analysis and Delong-t test.For positive cases,the pulmonary artery obstruction index(PAOI)calculated by AI and manually were collected respectively and consistency analysis was performed.Results The area under the curve(AUC)of PE-AI,manual and combined diagnosis was 85.6％,90.8％and 95.1％,respectively,which differed significantly(P＜0.05).The reading time of PE-AI[(0.16±0.07)min]was significantly lower than the time of manual[(4.42±1.85)min,P＜0.001]and combined diagnosis[(4.58±1.84)min,P＜0.001].The PAOI measured by PE-AI and manually had high consistency(intraclass correlation efficient,ICC=0.80)in the subgroup analysis of confirmed cases.Conclusion AI can quickly identify pulmonary artery emboli in a short time and assist radiologists to improve diagnostic efficiency.At the same time,through the intelligent detection of PAOI,it is helpful for the risk stratification of patients with PE and optimizing the diagnosis and treatment pathway for pulmonary embolism.

Objective To validate the diagnostic performance and risk stratification ability of an AI-based recognition system(PE-AI)for pulmonary embolism(PE)using computed tomography pulmonary angiography(CTPA)so as to analyze its diagnostic value in clinical practice.Methods A total of 416 patients with suspected PE who underwent CTPA from January 1,2023 to December 10,2023 at our hospital were included in this study.Two junior radiologists and PE-AI separately detected and diagnosed emboli in the collected cases by double-blind method,and recorded the diagnosis time respectively.Three senior radiologists reviewing with clinical follow-up results were used as the gold standard in this study.Diagnostic performance was evaluated by using the receiver operating characteristic(ROC)curve analysis and Delong-t test.For positive cases,the pulmonary artery obstruction index(PAOI)calculated by AI and manually were collected respectively and consistency analysis was performed.Results The area under the curve(AUC)of PE-AI,manual and combined diagnosis was 85.6％,90.8％and 95.1％,respectively,which differed significantly(P＜0.05).The reading time of PE-AI[(0.16±0.07)min]was significantly lower than the time of manual[(4.42±1.85)min,P＜0.001]and combined diagnosis[(4.58±1.84)min,P＜0.001].The PAOI measured by PE-AI and manually had high consistency(intraclass correlation efficient,ICC=0.80)in the subgroup analysis of confirmed cases.Conclusion AI can quickly identify pulmonary artery emboli in a short time and assist radiologists to improve diagnostic efficiency.At the same time,through the intelligent detection of PAOI,it is helpful for the risk stratification of patients with PE and optimizing the diagnosis and treatment pathway for pulmonary embolism.

This study reported a 50-year-old female patient who was diagnosed with anti-IgLON family member 5 (anti-IgLON5) antibody-related encephalopathy, presented with cognitive and sleep disorders, autonomic dysfunction and seizures, positive serum IgLON5 antibody but negative cerebrospinal fluid IgLON5 antibody, negative human leukocyte antigen (HLA) by genetic testing, and was diagnosed as anti-IgLON5 antibody-related encephalopathy. After hospital admission, the patient was given intravenous methylprednisolone combined with immunoglobulin immunotherapy, donepezil for improvement of cognition, sodium valproate and oxcarbazepine for prevention and treatment of epileptic seizures, and finally her symptoms improved significantly.

Objective:To optimize key parameters based on microwave assisted rapid staining technique for ultrathin section and establish a rapid ultrathin section preparing method .Methods:Ultrathin sections were stained respectively with 1% uranium acetate (UA) and lead citrate (LC) for different duration at various microwave power using microwave tissue processor. Then transmission electron microscope (TEM) photographs of cellular ultrastructure were taken and analyzed. The optimized single staining parameters were decided and combined to investigate the optimal microwave assisted UA and LC double staining conditions. The rapid staining effects of ultrathin sections were verified in different viruses including human adenovirus 5 (HAd5), herpes simplex virus (HSV), H1N1 influenza virus, enterovirus 71(EV-A71)human infected cells samples.Results:The optimized microwave assisted rapid ultrathin section staining parameters are: UA for 30 s and LC for 20 s at power 200 W or UA for 30 s and LC for 30 s at 300 W using microwave tissue processor.1∶6 dilution of original LC concentration could still work well through microwave assistance. The parameters can be extended and applied to domestic microwave ovens, and the optimized staining parameters are UA for 30 s and LC for 30 s at 320 W.Conclusions:The optimized parameters of microwave assisted rapid ultrathin section staining were obtained and can be applied in not only cell samples but also different virus ultrathin sections.

Objective To examine whether IFN-λ has the ability to inhibit HIV-1 infection of blood monocyte-derived macrophages and its mechanism(s). Methods Macrophages were pretreated with IFN-λ/ IFN-λ2 for 24 h before infected by HIV-1 R5 strains (Bal, Jago, and JRFL). And then the culture supernatants were detected HIV-1 reverse transcription (RT) activity and p24 protein expression by HIV-1 BT assay and ELISA. The expressions of IFN-λ receptor, CD4, CCRS, CXCR4 were evaluated by real-time PCR. Results Both IFN-λ1 and IFN-λ2, when added to macrophage cultures, inhibited HIV-1 infection and replication. This IFN-λ-mediated anti-HIV-I activity is broad, as IFN-λ could inhibit infection by both laboratory-adapted and clinical strains of HIV-1. Investigations of mechanism(s) responsible for the IFN-λ action showed that although IFN-λ had little effect on HIV-1 entry receptor CD4 and co-receptor CCR5 and CXCR4 expression, IFN-λ inhibited HIV-I infection of macrophages through connecting with IFN-λ recep-tor. Conclusion IFN-λ could inhibit HIV-I replication in macrophages. These findings indicate that IFN-λ may have a therapeutic value in the treatment of HIV-1 infection.