Active clinical trials for "Lung Neoplasms"

Rationale: Lung cancer is the most commonly diagnosed cancer worldwide and is the most frequent cause of cancer death. Accurate staging is important because it directs treatment and prognosis. Mediastinal staging can be done by both EBUS-TBNA and EUS-FNA. These two techniques have a complementary diagnostic range and the combined procedure is suited for assessment of almost the entire mediastinum. In practice, when mediastinal tissue staging is indicated, endoscopists often perform either an EBUS or an EUS investigation (instead of the combined procedure). Second, frequently only one or two, by imaging suspected lymph node stations, are sampled (ie. targeted approach). Objectives: main and secondary: Complete endosonographic (combined endobronchial and esophageal) staging using a single EBUS scope improves locoregional staging (N2, N3, T4) versus EBUS staging alone. Systematic mediastinal staging results in improved locoregional staging compared to PET-CT directed assessment of the mediastinum (ie targeted approach). Study population: Patients with potentially operable and resectable NSCLC are eligible if there is an indication for mediastinal nodal sampling. Patients have an indication for EBUS-TBNA. Intervention: Patients will undergo an EBUS investigation followed by EUS-B in the same session. During this single scope procedure, lymph nodes that are suspected on prior CT-PET imaging and on subsequent ultrasound are sampled. Main study endpoint: The main study parameter is the sensitivity for locoregional disease (N2, N3, T4 disease) of complete endosonographic staging (by EBUS-TBNA and EUS-B-FNA) in comparison with EBUS staging alone.

A retrospective, data mining project that re-uses routine patient care data for decision support systems.

In pre-clinical study, we found that serum thioredoxin reductase activity harbours huge difference after any kind of treatments, so we hypothesis that serum activity of thioredoxin reductase may be a warning markers in excised non-small lung cancers, serum activity of this enzyme may elevated before CT scan

In pre-clinical study the investigators found that the thioredoxin reductase activity of serum harbours huge difference between cancer patients and non-cancer patients, the enzyme activity elevated remarkably among cancer patients, so the investigators hypothesis that this is due to tumor cells loading of the patients, the enzyme activity may harbours huge difference between carcinoma tissues and para-carcinoma tissues in early staged non-small cell lung cancers, and after surgery, the enzyme activity may fall down to a normal level because of removing of tumor.

This is an multicenter study for preventive and therapeutic strategies for patients with head and neck cancer

The purpose of the study is the identification of chromosomal aberrations in non-small cell lung cancer (NSCLC) . The imaging system is intended for diagnostic use as an aid to the pathologist in the detection, counting and classifying ALK FISH stained lung samples.

In this prospective study, the investigators will evaluate and compare the usefulness of functional and volumetric informations obtained by 18F-FDG PET and MRI before and after the palliative chemotherapy with the aim of predicting tumor response and prognosis in patients with advanced Non-small Cell Lung Cancer (NSCLC).

Patients will be enrolled that are undergoing bronchoscopy for diagnosis of discrete lung lesions or for detection of acute rejection following lung transplants. The hypothesis is that bronchoscopy together with probe-based endomicroscopy (pCLE)results in improved and/or incremental diagnostic yield (definitive diagnosis) over conventional bronchoscopy.

This study will compare two different methods of staging lung cancer to determine whether endobronchial ultrasound (EBUS) staging of mediastinal lymph nodes will provide good diagnostic yield in detecting lung cancer, when compared to current methods of a staging bronchoscopy and cervical mediastinoscopy.

Introducing standardized data collection (SDC) for lung cancer patients to improve the performance of the prediction models.