Introduction: Thoracoscopic lobectomy for primary lung cancer is performed at many institutions. However, few reports are available on postoperative prognosis for progressive stages. In 2004, we adopted lobectomy by video-assisted thoracoscopic surgery (VATS), which would be applicable to the clinical stages up to stage IIIA. This study reports long-term outcomes of surgery for primary lung cancer at several stages, including IIIA.
Methods: We compared the long-term outcomes of 315 VATS cases with those of 159 open thoracotomy cases.
Results: The overall 5-year survival rate was 78.1% for the VATS group and 61.9% for the open thoracotomy group. A statistically significant difference between the survival curves of the two groups was observed (P = .001). When analyzing the survival curves for both groups by pathological (p) stage, significant differences were observed for p-stages IB and IIIA, with the VATS group producing better results than the open thoracotomy group.
Conclusion: The long-term outcomes of patients with primary lung cancer at our institution were more favorable in the group undergoing VATS lobectomy than in the group undergoing open thoracotomy.
Background: Using primary airway epithelial cells (AEC) is essential to mimic more closely different types and stages of lung disease in humans while reducing or even replacing animal experiments. Access to lung tissue remains limited because these samples are generally obtained from patients who undergo lung transplantation for end-stage lung disease or thoracic surgery for (mostly) lung cancer. We investigated whether forceps or cryo biopsies are a viable alternative source of AEC compared to the conventional technique.
Lung cancer (LC) remains the primary cause of cancer-related mortality, largely due to late-stage diagnoses. Effective strategies for early detection are therefore of paramount importance. In recent years, machine learning (ML) has demonstrated considerable potential in healthcare by facilitating the detection of various diseases.
Extensive research is needed to examine the association between cardiovascular disease (CVD) and cancer. The observational study is based on data collected from the 2005-2018 National Health and Nutrition Examination Survey (NHANES). To assess the connection between CVDs and cancer, we used a weighted multivariable logistic regression analysis with as many confounding factors as feasible included in the model.
Background: Cardiovascular health (CVH) assessment may have important benefits for adults with chronic diseases to prevent incident cardiovascular disease and additional chronic conditions. Few studies have compared CVH in adults with chronic diseases and healthy adults without chronic disease using the American Heart Association's (AHA's) Life's Essential 8 (LE8) metrics.
Methods And Results: We used National Health and Nutrition Examination Survey data from 2013 to 2018 to identify the presence of 16 chronic diseases by participant self-report of diagnosis.
Immortalized epithelial cell lines and animal models have been used in fundamental and preclinical research to study pulmonary diseases. However valuable, though, these models incompletely recapitulate the human lung, which leads to low predictive outcomes in potential respiratory treatments. Advanced technology and cell culture techniques stimulate the development of improved models that more closely mimic the physiology of the human lung.
