Active clinical trials for "Lung Neoplasms"

This chart review describe the response to systemic chemotherapy of patients with non-small cell lung cancer (NSCLC) harbouring a known somatic activating human epidermal growth factor receptor 2 (HER2) mutation. The analysis of this data will provide an initial description of the response to systemic chemotherapy in patients with NSCLC harboring an activating HER2 mutation in order to inform the design and powering of future randomized controlled clinical trials of HER2-directed therapy.

The employ of medical images combined with deep neural networks to assist in clinical diagnosis, therapeutic effect, and prognosis prediction is nowadays a hotspot. However, all the existing methods are designed based on the reconstructed medical images rather than the lossless raw data. Considering that medical images are intended for human eyes rather than the AI, we try to use raw data to predict the malignancy of pulmonary nodules and compared the predictive performance with CT. Experiments will prove the feasibility of diagnosis by CT raw data. We believe that the proposed method is promising to change the current medical diagnosis pipeline since it has the potential to free the radiologists.

Analysis of driver gene variation in early stage non-small cell lung cancer

To determine the more effective dosing sequence of intermittent erlotinib and docetaxel for treating patients with the diagnosis of advanced Non-Small-Lung-Cancer.

The purpose of this clinical trial is to evaluate the safety when HL301 is administered to unresectable non-small cell lung cancer patients who receive chemoradiotherapy with Paclitaxel and Carboplatin and to search for a clinically appropriate dose by evaluating the efficacy by comparing the radiation pneumonia incidence rate with the control group.

In this study, the "Curve of Intraoperative Body Temperature Change in Patients with VATS Surgery" was taken as the main research content to retrospectively analyze the intraoperative body temperature and its change rules of patients who met the research conditions, and draw a trend curve, namely, the curve of body temperature change.Taking "time" as the independent variable and "body temperature" as the dependent variable, the correlation between the two was statistically analyzed.Through the development of the body temperature change curve, we can further understand the phenomenon that the body temperature of patients undergoing VATS surgery changes with the progress of surgery, and longitudinal understand the change trend and the general rule of the body temperature change.The results can provide a basis for clinical development of scientific preoperative evaluation plan, hypothermia prevention strategy and intraoperative intervention plan.

This is a retrospective observational research study to describe the characteristics and real-world clinical outcomes of patients with locally advanced, unresectable Stage III non-small cell lung cancer receiving durvalumab in the United Kingdom (the CODAK study). Physicians who have treated patients who have locally advanced, unresectable Stage III NSCLC with durvalumab will be requested to recruit patients to have their clinical data abstracted from their clinical records in line with local laws. Data from this study will provide UK-specific real-world data on patients receiving durvalumab through the Early Access Programme (EAP) or post-reimbursement.

The purpose of the trial is to detect tumor microenvironment on Extensive Stage Small Cell Lung Cancer with simultaneous liver metastases who Treated with Atezolizumab plus Etoposide and Platinum Based Chemotherapy.

This study was designed to investigate the correlation of lung cancer tissue expression of both PDL-1-mRNA ,vitamin D receptor (VDR) and level of vit.D in sera of lung cancer patients.These three biochemical markers may interact and play a role in lung cancer progression.

DCE-CT of thoracic tumors as an early biomarker for treatment monitoring in comparison with morphologic criteria. Rationale of the clinical investigation For the evaluation of response to anti-tumoral therapy in thoracic tumors, merely morphologic information is often not sufficient for early response evaluation as dimensions of the oncologic lesions are not changing during the first weeks of treatment. To be able to measure functional changes, dynamic contrast-enhanced CT (DCE-CT) seems promising as a biomarker for early therapy monitoring. Having an early biomarker for treatment monitoring will allow to increase patients' prognosis if a non-responder is earlier detected, will optimize the use of expensive treatments, is expected to shorten hospitalization and shorten absence at work, and to decrease side-effects of (adjuvant) medication. Objective of the study 2.1.Primary objectives The primary objective is to investigate the potential of functional imaging (i.e. DCE-CT), as analyzed by the Hyperfusion analytic software, as an early biomarker for the evaluation of therapy response in primary thoracic malignancy. 2.2.Secondary objectives There are two secondary objectives: To define internal system parameters and perfusion parameter thresholds that maximize the accuracy of the outcomes and to define the correct category (PD, SD, PR, CR); and To compare the predicted categorization to the assessed RECIST1.1 categorization. Endpoints 3.1.Primary Endpoint The primary endpoint is to directly compare the biomarker of the HF analysis software at week 3 (+- 1 week) and week 8 (+- 3 weeks) with the eventually reported Progression-Free Survival (PFS) intervals and Overall Survival (OS) in this study. PFS intervals are determined by the clinician and are based on RECIST1.1 and additional clinical and biochemical progression markers. The focus will be on evaluating the accuracy of the prediction as well as how early the prediction was correct. 3.2.Secondary Endpoints There are two secondary endpoints corresponding to the two secondary objectives. The internal parameters for the HF biomarker, e.g. magnitude of the Ktrans decrease, and the change in volume of unhealthy tissue, need to be determined to define the classification (PD, SD, PR and CR) by the HF analysis software. These parameters are optimized to optimally predict the classification according to PFS and OS. This will be done by splitting the data into a train and test set to ensure generalization. The classification of the HF analysis software will be compared to the purely morphological classification by RECIST1.1 to identify correlation. Furthermore, some cases will be investigated where the HF analysis performs noticeably better or worse than RECIST1.1 in predicting PFS and OS. Finally, the difference in time to the first correct prediction is compared between HF and RECIST1.1. 4.Study Design This prospective study is part of the clinical β-phase. We aim to test pre-release versions of the Hyperfusion.ai software under real-world working conditions in a hospital (clinical) setting. It is important to note, though, that the results of the software analysis will not be used by interpreting physicians to alter clinical judgement during the course of the clinical trial. A prospective study including 100 inoperable patients in UZ Gent suffering from primary thoracic malignancy (≥15mm diameter) will be conducted. For this study, in total 3 CT scan examinations of the thorax will be performed (a venous CT examination of the thorax in combination with a DCE-CT scan of the tumoral region). All patients will be recruited from the pulmonology department. Oncologic patients are clinically referred with certain intervals for a clinically indicated CT scan (being part of standard care). In the study, two clinical CT examinations that are performed standard of care (baseline CT examination and CT examination at week 8 (+- 3 weeks) after start of systemic therapy) will be executed by also adding a DCE-image of the lung adenocarcinoma to this examination. This DCE-image is performed during the waiting time before the venous/morphologic phase. Consequently, from a clinical point-of-view, the time to scan remains exactly the same. With regard to the contrast agent, an identical amount is injected as is the case in standard of care, but the contrast bolus is split in two parts - see also addendum with DCE protocol. In this study there is one additional CT-examination (DCE-scan of the thoracic malignancy in combination with venous CT scan of the thorax) at week 3 (± 1 week).