Objective To investigate the clinical features of polypoidal choroidal vasculopathy. Methods The clinical manifestations and the findings of fundus fluorescein angiography (FFA) and indocyanine green angiography (ICGA) of 7 eyes in 6 patients with polypoidal choroidal vasculopathy were analyzed retrospec tively.Results The ophthalmoscopic examination of PCV in this series of patients revealed orange-red lesions mainly in macular region in early stage, and then hemorrhage, exudation, edema, serous and (or) hemorrhagic detachment of retinal pigment epithelium in affected portions in advanced stage, and retinal and choroidal atrophy in late stage. FFA discovered the vascular dilation at the border of the choroidal vascular network in 1 eye, dotted hyperfluorescence in 6 eyes, and patches of hyperfluorescence in late phase. ICGA disclosed a vascular branching network in choroid with polypoid pattern of the terminal path of the vessels of network in early phase in 5 eyes, and the typical dotted or clustered polypoidal hyperfluorescence in 7 eyes in late phase.Conclusion The characteristic findings of FFA and ICGA are very diagnostic for PCV. (Chin J Ocul Fundus Dis，2003，19：269-332)
The widespread application of low-dose computed tomography (LDCT) has significantly increased the detection of pulmonary small nodules, while accurate prediction of their growth patterns is crucial to avoid overdiagnosis or underdiagnosis. This article reviews recent research advances in predicting pulmonary nodule growth based on CT imaging, with a focus on summarizing key factors influencing nodule growth, such as baseline morphological parameters, dynamic indicators, and clinical characteristics, traditional prediction models (exponential and Gompertzian models), and the applications and limitations of radiomics-based and deep learning models. Although existing studies have achieved certain progress in predicting nodule growth, challenges such as small sample sizes and lack of external validation persist. Future research should prioritize the development of personalized and visualized prediction models integrated with larger-scale datasets to enhance predictive accuracy and clinical applicability.
Primary pulmonary lymphoepithelioma-like carcinoma (PPLELC) is a rare type of lung cancer with special characteristics of epidemiology, clinical diagnosis, treatment and prognosis. It has close relationship with Epstein-Barr virus (EBV) infection and has prominent regional feature. Most patients are young and non-smoking. There is no specificity of clinical manifestation. Most patients are asymptomatic at the time of diagnosis. As for treatment, the standard treatment for early stage disease is complete resection. Platinum-based doublet chemotherapy has been applied in locally advanced disease as the first line therapy. Due to its rarity, the treatment of advanced PPLELC is still lack of evidence of large sample randomized controlled trial. Whether target therapy or immunotherapy is effective is worth further study. This article reviews the research progress of PPLELC, to give a particular sight for clinicians and provides a better understanding of this rare tumor for researchers.
Congenital chest deformity is caused by abnormal development of spine or ribs, resulting in sternal depression or protrusion. Pectus carinatum and pectus excavatum are the most common diseases in clinic, which can either be accompanied by other syndromes or exist alone. The genetic factors of congenital thoracic deformity can be related to single gene mutation, polygene mutation and chromosome aberration. Common clinical congenital thoracic deformity with syndromes, such as Marfan syndrome and Noonan syndrome, often have relatively fixed and clear pathogenic genes. The genetic pathogenesis of non-syndromic and independent congenital thoracic malformations is usually diverse, and treatments for syndromic and non-syndromic congenital thoracic deformity are different. Therefore, it is necessary for us to differentiate syndromic and non-syndromic congenital thoracic deformities in basic research, clinical diagnosis and treatment.
Because of the characteristics such as accurate, efficient and individuation, 3D printing is being widely applied to manufacturing industry, and being gradually expanded into the medical field. Diseases of chest wall is a common type in thoracic surgery, and surgery is a proper treatment to this kind of disease. For the past few years, 3D printing is being gradually applied in surgery of chest wall diseases. The article mainly makes a statement of two parts that including the possibility to apply 3D printing including chest wall reconstruction and chest wall orthopedic, and to analyze the possibility and application prospect of applying 3D printing to the chest wall disease.
Candida auris is an emerging multidrug-resistant fungus that has become a significant global public health threat due to its strong resistance to antifungal agents and its ability to spread within healthcare facilities. This paper reviews the global epidemiological trends of Candida auris and the current status of existing prevention and control systems, focusing specifically on pathogen epidemiological characteristics, domestic and international epidemic situations, current prevention and control frameworks, and the construction of prevention networks. In response to the challenges posed by the international spread of Candida auris , China’s fungal disease prevention system should advance towards a more systematic and scientific direction. By integrating resources from medical institutions, disease control agencies, and research institutes, and combining multidisciplinary knowledge and technologies, China should establish a multi-level coordinated prevention and control mechanism to improve its monitoring, prevention, and treatment systems. In the future, China’s fungal disease prevention and control system needs to further strengthen talent cultivation, improve surveillance networks, promote technological innovation, and build a comprehensive, multi-level modern prevention and control system.