300,000+ clinical trials. Find the right one.

495 active trials for Lung Cancer

Measuring and Improving the Safety of Test Result Follow-Up

Improving communication is foundational to improving patient safety. Electronic health records (EHRs) can improve communication, but also introduce unique vulnerabilities. Failure to follow-up abnormal test results (missed results) is a key preventable factor in diagnosis and treatment delays in the VHA and often involves EHR-based communication breakdowns. Effective methods are needed to detect diagnostic delays and intervene appropriately. Manual techniques to detect care delays, such as spontaneous reporting and random chart reviews, have limited effectiveness, due in part to bias and lack of provider awareness of delays. They are also inefficient and cost-prohibitive when applied to large numbers of patients. Diagnostic errors are considered harder to tackle, in part because they are difficult to measure. Rigorous measurement of diagnostic safety is essential and should be prioritized given the increasing amount of electronically available data. To create an effective measurement and learning program researchers must (1) ensure teams know how to take actionable steps on data and have assistance in doing so and (2) prioritize diagnostic safety at the organizational level by securing commitment from local VA leadership and clinical operations personnel. This will ensure that safety measurement will translate into action. The proposed study focuses on creating a novel program to develop and evaluate multifaceted socio-technical tools and strategies to help prevent, detect, mitigate, and ameliorate breakdowns in EHR-based communication that often lead to "missed" test results in the VHA.

Start: October 2018
AI-EBUS-Elastography for LN Staging

Before any treatment decisions are made for patients with lung cancer, it is crucial to determine whether the cancer has spread to the lymph nodes in the chest. Traditionally, this is determined by taking biopsy samples from these lymph nodes, using the Endobronchial Ultrasound Transbronchial Needle Aspiration (EBUS-TBNA) procedure. Unfortunately, in 40% of the time, the results of EBUS-TBNA are not informative and wrong treatment decisions are made. There is, therefore, a recognized need for a better way to determine whether the cancer has spread to the lymph nodes in the chest. The investigators believe that elastography, a recently discovered imaging technology, can fulfill this need. In this study, the investigators are proposing to determine whether elastography can diagnose cancer in the lymph nodes. Elastography determines the tissue stiffness in the different parts of the lymph node and generates a colour map, where the stiffest part of the lymph node appears blue, and the softest part appears red. It has been proposed that if a lymph node is predominantly blue, then it contains cancer, and if it is predominantly red, then it is benign. To study this, the investigators have designed an experiment where the lymph nodes are imaged by EBUS-Elastography, and the images are subsequently analyzed by a computer algorithm using Artificial Intelligence. The algorithm will be trained to read the images first, and then predict whether these images show cancer in the lymph node. To evaluate the success of the algorithm, the investigators will compare its predictions to the pathology results from the lymph node biopsies or surgical specimens.

Start: June 2021
Binary Oncolytic Adenovirus in Combination With HER2-Specific Autologous CAR VST, Advanced HER2 Positive Solid Tumors

This study is a first in human Phase 1 study that involves patients with a type of cancer called HER2 (Human Epidermal Growth Factor Receptor 2) positive cancer. This study asks patients to volunteer to take part in a research study investigating the safety and efficacy of using special immune cells called HER2 chimeric antigen receptor specific cytotoxic T lymphocytes (HER2 specific CAR T cells), in combination with intra-tumor injection of CAdVEC, an oncolytic adenovirus that is designed to help the immune system including HER2 specific CAR T cell react to the tumor. The study is looking at combining these two treatments together, because we think that the combination of treatments will work better than each treatment alone. We also hope to learn the best dose level of the treatments and whether or not it is safe to use them together. In this study, CAdVEC will be injected into participants tumor at one tumor site which is most easiest to reach. Once it infects the cancer cells, activation of the immune response will occur so it can attack and kill cancer cells. (This approach may have limited effects on the other tumor sites that have not received the oncolytic virus injection, so, patients will also receive specific T cells following the intratumor CAdVEC injection.) These T cells are special infection-fighting blood cells that can kill cells infected with viruses and tumor cells. Investigators want to see if these cells can survive in the blood and affect the tumor. Both CAdVEC and HER2-specific autologous CAR T are investigational products. They are not approved by the FDA.

Start: June 2021
PROStep: A Feasibility Trial Using PROs and Step Data to Monitor Patients With Lung and GI Cancers

Telemedicine allows clinicians to utilize modern telecommunication technology to provide healthcare services to patients including remote symptom monitoring. Given the spread of COVID-19 both locally and globally, is crucial to adapt accordingly in order to safely provide vulnerable cancer patient populations with optimal care while minimizing risk of exposure to COVID-19. In this study, the investigators will utilize remote monitoring of patients with cancer via weekly patient-reported outcome (PRO) collection through the Way to Health (W2H) smartphone application and step data through wearable Fitbit devices. Patients with incurable lung and gastrointestinal cancers will be recruited based on whether they receive their care in-clinic or remotely. They will respond to weekly phone-based symptom surveys and wear Fitbits that track step data. This data will be collated in a Palliative Care Assessment Dashboard (PROStep Dashboard) sent to clinicians prior to each oncology visit to help inform patient management. In this feasibility study, two arms of patients will be monitored with symptom surveys and Fitbits; the study will randomize these patients to either 1) receive text feedback or 2) receive no text feedback. A third arm of patients will be randomized to receive no feedback, symptom surveys, or Fitbit device. Clinicians for patients in each arm will receive the PROstep Dashboard. The study will determine feasibility of this monitoring approach, and compare patient adherence to symptom surveys and step data collection between the two intervention arms.

Start: November 2020