Lung cancer : journal of the International Association for the Study of Lung Cancer
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The detection rate of small pulmonary nodules has recently increased and new techniques have been developed to improve diagnostic yield. The IASLC/ATS/ERS classification demonstrated a difference in prognosis depending on the histological subtypes of lung adenocarcinoma. We evaluated the association between high-resolution computed tomography (HRCT) findings and the classification of these tumors. ⋯ The HRCT findings correlated with the IASLC/ATS/ERS classification and were useful for evaluating the histological nature of the tumors. Most pure-solid tumors had the potential for high-grade malignancy, including PIF and lymph node metastasis. For part-solid tumors, the C/T ratio and consolidation size were important for predicting PIF and for diagnosing IAD according to this classification.
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Lung cancer dysregulations impart oxidative stress which results in important metabolic products in the form of volatile organic compounds (VOCs) in exhaled breath. The objective of this work is to use statistical classification models to determine specific carbonyl VOCs in exhaled breath as biomarkers for detection of lung cancer. ⋯ A model based on elevated levels of the six carbonyl VOCs effectively discriminates lung cancer patients from healthy controls as well as patients with benign pulmonary nodules.
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Access to specialist services may influence stage at cancer diagnosis and whether cancer is ever adequately staged. We investigated associations of distance to the nearest accessible specialist hospital (NASH) with likelihood of advanced or unknown stage cancer at diagnosis in Australian non-small cell lung cancer (NSCLC) patients. ⋯ People living remotely from accessible specialist services are at greatest risk of advanced stage or unknown stage disease if diagnosed with NSCLC. This risk is greater again if the patient is treated in a general hospital. Barriers to referral for specialist care require investigation.