Active clinical trials for "Lung Neoplasms"

The prospective study aims to explore the value of total-body PET/CT dynamic imaging (uExplorer) in assessing tumor metabolic heterogeneity and predicting prognosis for patients with locally advanced, unresectable non-small cell lung cancer (stage III) treated by neoadjuvant chemotherapy plus nivolumab and definitive concurrent chemoradiation therapy.

This study retrospectively evaluates clinical parameters and outcome of patients with advanced stage non-small cell lung cancer treated with neoadjuvant therapy followed by curative-intent surgery at the Divison of Thoracic Surgery at the Medical University of Vienna

Rationale: With 1.6 million new cases diagnosed each year and 1.3 million deaths, lung cancer is the leading cancer-related death worldwide and it represents a pressing health issue. Patients with lung cancer are more likely to experience cachexia, a severe debilitating disorder causing fatigue, weight loss, muscle wasting and associated with reduced physical function, increased chemotherapy toxicity and reduced survival. This syndrome occurring in about 80% of advanced cancer patients is the direct cause of death in about 20% of cases. However, despite the importance of cachexia in lung cancer, it has been mainly studied from several assessment methods which do not usually differentiate muscle from other tissues. Aim: To analyze body composition of patients with lung cancer at diagnosis using computed tomography (CT-Scan) image analysis. Methods: This is a retrospective study extending over a period of 3 years conducted at the Institut universitaire de cardiologie et de pneumologie de Québec (2009-2012). We listed patients newly diagnosed with lung cancer who had a thoraco-abdominal CT-scan performed in our institution. Following the collection of clinical data from patient records, we used SliceOmatic software to quantify muscle area, visceral fat area and subcutaneous fat area from a single abdominal cross-sectional image at the level of the third lumbar vertebra.

The purpose of this study is explore the impact of lung cancer surgery on the function of the right side of the heart.

Using DNA acquired from tumor tissue, sequencing and PNA-clamping for EGFR gene will be performed. The detection rates of EGFR mutation will be compared using paired samples.

The purpose of this study is to compare conventional PET/CT scan performed 1 hour after injection of the radioactive tracer FDG (PET/CT[1]) with PET/CT performed after 3 hours (PET/CT[3]) in a group of patients with biopsy verified lung cancer or high suspicion of lung cancer after initial work-up (chest x-ray and CT of thorax/upper abdomen), who are potentially operable.

Lung cancer is the No. cause of cancer death in Taiwan. Yet most of lung cancer are diagnosed at late stage, not amenable to surgical resection. With the introduction of new targeted agents, such as EGFR tyrosine kinase inhibitors and the identification of EGFR mutations, lung cancer management has markedly changed in recent years. However, these new agents are costly and their payment is restricted in certain situations defined National Insurance Agency. Therefore, using databases from National Insurance Agency might not be able to reflect the exact impact on pharmacoeconomics. In this study, the investigators will analyze the data from a tertiary medical center, where all the costs including insurance reimbursement, co-payment, and payment not covered by insurance. The investigators will also compare with the investigators results with national database to analyze the cost benefit of these new agents on lung cancer.

To evaluate the role of the LungPoint VBN System in the bronchoscopic access to a target location. The evaluation will explore: Ability of the system to guide a user to one or more target site(s) Ease of use of the system (assessment of the user interface) Incremental value brought by the use of the system to the successful completion of a case.

The purpose of this study is to analysis the volatile organic gases(VOCs) in exhaled breath of pulmonary lesion patients and healthy controls, in order to find the difference of composition and concentration among groups.

The classification of lung cancer (LC) according to the degree of anatomical extension (TNM) allows the estimation of the prognosis of the patient, although its accuracy is limited. In fact, one third of surgically-treated patients with initial disease have recurrences during follow-up, despite the negativity of node dissection at surgery. The incorporation of genetic, epigenetic and proteomic information to TNM staging will characterize more accurately the lung cancer, and thereby improve the prognostic and the prediction of the therapeutic response in these patients.In this project a prospective cohort of 320 patients with lung cancer staged I-IIp will be studied, combining the clinical and pathologic information available with genetic, epigenetic and proteomic markers in tumour samples, pulmonary tissue, regional nodes and peripheral blood, preserved in suitable systems for the application of complex analytical methodologies. Thus, a knowledge database will be created with the aim of improving the prognostic and prediction capabilities of TNM staging.This project is coordinated with related sub-projects that cover the required laboratory tests on biological samples and with Spanish collaborative group in lung cancer.