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.
With the development of technology, the detection rate of ground-glass opacity (GGO) is rapidly increasing. GGO comprises of pure GGO and mixed GGO. Many researches have studied the characteristics of GGO, and they found that different malignant probability of GGO was associated with different image characteristics. It is obvious that there is a close relationship between the image characteristics of GGO and its prognosis. However, due to the various image characteristics of GGO, it is essential to assess the prognosis of lung adenocarcinoma patients in a more comprehensive way. In this review, we summarize the correlation between the main GGO image features (solid proportion, size, mean CT value, shape characteristics) and the prognosis of lung adenocarcinoma patients, to provide clinical reference for prognosis prediction and decision-making for patients with lung adenocarcinoma.
ObjectiveTo assess the specific clinicopathological characteristics as well as prognostic value of prognostic significance of spread through air spaces (STAS) in lung adenocarcinoma.MethodsWe systematically searched the databases of PubMed, EMbase and Web of Science databases from their date of inception to March 2019. The quality of the included literature was assessed by the Newcastle-Ottawa scale (NOS). The NOS of the study higher than 6 points was considered as high quality. Software of Stata 12.0 was used for meta-analysis.ResultsTwenty retrospective cohort studies involved with totally 6 225 patients were included. Quality of included studies was high with NOS score equal or higher than 6 points. STAS was associated with male sex, ever smoking history, abnormal carcino-embryonic antigen (CEA) level, air bronchogram negative, anaplasticlymphoma kinase (ALK) arrangement positive, epidermal growth factor receptor (EGFR) mutation positive, advanced pathological tumor stage and more invasive pathological adenocarcinoma subtypes. The presence of STAS indicated significantly poor recurrence free survival (RFS) (HR=1.960, 95%CI 1.718-2.237, P<0.001) as well as poor overall survival (OS) (HR=1.891, 95%CI 1.389-2.574, P<0.001). Further subgroup analyses showed that exhibiting tumor size including diameter less than 2 cm (HR=2.344, 95%CI 1.703-3.225, P<0.001) and diameter over 2 cm (HR=2.571, 95%CI 1.559-4.238, P<0.001), resection type including lobectomy (HR=1.636, 95%CI 1.258-2.127, P<0.001) and sublobar resection (HR=3.549, 95%CI 2.092-6.021, P<0.001) in stageⅠ adenocarcinoma suggested that STAS had a bad effect on RFS.ConclusionPresence of STAS is associated with more aggressive clinicopathological features and independently associated with worse RFS and OS in lung adenocarcinoma. STAS positive has a negative effect on RFS whatever the tumor size (including the diameter<2 cm or >2 cm) and resection types in stageⅠ adenocarcinoma.