Studies registered with screening as their primary purpose.
Categories organize the public record. They do not determine whether someone is eligible.
The long-term objective is to improve lung cancer screening uptake among screening-eligible Black adults and thereby reduce the population burden of late-stage diagnosis and mortality. The short-term objective of this study is to rigorously test the effectiveness, mechanisms, and implementation readiness of Witness Project® Lung.
This phase II MATCH screening and multi-sub-trial studies how well treatment that is directed by genetic testing works in patients with solid tumors, lymphomas, or multiple myelomas that may have spread from where it first started to nearby tissue, lymph nodes, or distant parts of the body (advanced) and does not respond to treatment (refractory). Patients must have progressed following at least one line of standard treatment or for which no agreed upon treatment approach exists. Genetic tests look at the unique genetic material (genes) of patients' tumor cells. Patients with genetic abnormalities (such as mutations, amplifications, or translocations) may benefit more from treatment which targets their tumor's particular genetic abnormality. Identifying these genetic abnormalities first may help doctors plan better treatment for patients with solid tumors, lymphomas, or multiple myeloma.
This ALCHEMIST trial studies genetic testing in screening patients with stage IB-IIIA non-small cell lung cancer that has been or will be removed by surgery. Studying the genes in a patient's tumor cells may help doctors select the best treatment for patients that have certain genetic changes.
The Vanguard Study is a feasibility study to explore several aspects of evaluating multi-cancer detection (MCD) tests in a future definitive randomized controlled trial. An MCD test measures markers in the blood in order to screen for multiple cancers simultaneously. There is a need to understand how MCDs may work as cancer screening tools. The goal of cancer screening is to reduce the burden of cancer by identifying cancers before they show symptoms or signs, when treatment is likely to be most effective. In this study, adults aged 45-75 without cancer will be randomly assigned to one of 3 groups: 2 separate MCD test groups or a control group. These two MCD tests will not be compared to each other but will be compared to cancers detected in the control group. This study will provide early information on how well MCD tests perform as cancer screening tools. It will also help researchers understand how patients and their doctors make decisions about their care when the MCD test result comes back as normal (negative) or abnormal (positive).
This clinical trial studies whether tailored patient navigation (PN) works to improve the uptake of lung cancer screening (LCS) in tribal communities in western Washington state. Lung cancer is the leading cause of cancer death in the United States among American Indian (AI) and Alaska Native (AN) people, and the incidence of lung cancer is higher in this population in the Northern and Southern Plains, Alaska, and Pacific Coast regions. In Washington state, AI/AN people also have twice the rate of commercial cigarette smoking than the overall population. LCS with annual low-dose chest computed tomography (CT) can reduce lung cancer death and is recommended in people 50-80 years of age with current or recent (within 15 years) tobacco use and a 20 pack-year or greater smoking history. Despite this, AI and AN people are less likely to receive LCS which may be due to barriers they face making it difficult to receive LCS. PN services are designed to guide a patient through the healthcare system and reduce barriers to timely screening, follow-up, diagnosis, treatment, and supportive care. The PN services in this trial have been tailored for the tribal communities in western Washington state. The services are designed to help participants overcome the unique barriers that their tribal communities face and improve the uptake of LCS.
Evaluate the impact of the patient navigation program on the proportion of patients who complete lung cancer screening (LCS), defined as undergoing a low dose computed tomography (LDCT)
This clinical trial develops and studies whether a restorative justice-based lung cancer screening (LCS) decision-making support intervention tailored for Black individuals increases LCS among Black community members. Lung cancer remains the leading cause of cancer deaths among Black men and women. LCS with yearly low-dose chest computed tomography (CT) is recommended for people with current or recent tobacco use (within 15 years) who are aged 50-80 with at least a 20 pack-year smoking history. LCS lowers lung cancer death by 20%; however, data shows that LCS completion remains low among minority groups in the United States. The restorative justice-based LCS decision-making support intervention in this trial has been specifically tailored to meet the needs of Black individuals. It is designed to reduce racial unfairness by promoting trust, shared understanding, and empowerment in clinical decision making while addressing the social and historical circumstances of health inequalities. This may be an effective way to increase LCS among Black community members.
Inspired by the ongoing Pink \& Pearl Campaign, the breast radiology service of Christian Hospital in north St. Louis County will partner with Siteman Cancer Center to pilot this campaign in its mammography clinics in order to promote awareness, referral, and completion of lung cancer screening (LCS) among eligible women. This campaign leverages established infrastructure such as nurse navigation and referral to screening or primary care for further shared decision-making on cancer screening. The purpose of this study is to evaluate the effectiveness of the Pink \& Pearl Campaign in improving LCS uptake among LCS-eligible women undergoing mammography at Christian Hospital. This evaluation is grounded in the Integrated Screening Action Model that depicts individual- and environmental-level influences on the screening behavior process. Using an explanatory sequential mixed methods design, which combines both quantitative and qualitative approaches, our specific aims for this proposal are to: a) assess whether the Pink \& Pearl Campaign increases referrals and uptake/completion of LCS among LCS-eligible women undergoing screening mammography; b) determine median time-to-screening after referral to LCS; and c) evaluate individual and health system factors influencing LCS uptake and implementation outcomes of the campaign. These implementation outcomes will help identify whether the campaign was put in place successfully or not. This proposal will inform strategies for integrating cancer screening programs to improve poorly performing programs like LCS.
Co-design will be implemented to develop an innovative, Veteran-centered intervention (Vet Peer Connects program) that meets the needs of Black Veterans. Next, a feasibility pilot test of the Vet Peer Connects program will be conducted. The Peer will lead up to 5 group lung cancer screening orientations in community partner sites to reach up to 40 lung cancer screening eligible Black Veterans. The Peer will provide one-to-one tailored support to up to 15 Veterans (coaching, goal-setting, navigation to access Veterans Affairs lung cancer screening). Then, the study team will evaluate program delivery through ethnographic observation and field notes, Peer activity logs, and weekly check-ins between the study team and Peer. Investigators will interview Veteran participants, community partners, and lung cancer screening clinical staff to explore feasibility and acceptability of the Vet Peer Connects program and solicit suggestions for improvement. Preliminary data on the outcomes of the Vet Peer Connects program will be collected by study team through administering surveys to assess change in Social Cognitive Theory constructs, and extracting lung cancer screening uptake and tobacco treatment 3 months post enrollment from VA's Corporate Data Warehouse. This work will inform a subsequent multi-site stepped-wedge trial to assess effectiveness, implementation, and cost of the Vet Peer Connects program in VA lung cancer screening sites and neighboring branches of the National Association for Black Veterans.
The goal of this pilot clinical trial is to learn whether the patient and provider support program, called FIX-SDM, helps patients and providers engage in shared decision-making for lung cancer screening during primary care visits and increases the number of patients who complete lung cancer screening. The investigators will also assess the acceptability of the support program and the feasibility of the study protocol to prepare for a future large-scale trial. The main questions this trial aims to answer are: * Does the patient and provider support increase the number of patients who complete lung cancer screening? * Does the patient and provider support help patients and health care providers engage more in shared decision-making and improve the quality of the patient's decision regarding lung cancer screening? * Is the study protocol feasible? The investigators will compare the patient and provider support program to usual care to see if the support increases the number of patients who complete lung cancer screening. Primary care provider participants will: * Receive the provider support session and educational materials, or follow usual practice * Answer a baseline survey and a follow-up survey in 6 months * Answer additional survey questions regarding the acceptability of the provider support session if they receive it Patient participants will * Receive a smoking history survey, a decision aid, and text messages about lung cancer screening prior to the primary care visit, or receive usual care * Complete the baseline survey and two follow-up surveys, one right after the primary care visit and another 3 months after the visit.
The purpose of this study is to use agnostic genomic evaluation using whole exome sequencing (WES) of a variety of rare hematologic diseases grouped under rare blood diseases and its variants to further elucidate the understanding of the chemistry of these disorders and identify potential actionable mutations that can be targeted with therapies in the context of clinical trials.
This research study aims to investigate methods for enhancing lung cancer screening. The study will investigate whether an artificial intelligence (AI) tool, known as Sybil, can aid in predicting the risk of lung cancer. The investigators will also examine whether expanding the screening criteria (based on the guidelines of the Potter and American Cancer Society (ACS)) can help identify individuals at risk who are not currently included in the U.S. Preventive Services Task Force (USPSTF) guidelines.
This clinical trial studies whether screening methods used to diagnose cancer of the prostate, lung, colon, rectum, or ovaries can reduce deaths from these cancers. Screening tests may help doctors find cancer cells early and plan better treatment for ovarian cancer. The ovarian cancer screening tests are part of a trial that addresses the screening of four cancer sites, each with their own results record: prostate (NCT00002540), lung (NCT01696968), colorectal (NCT01696981), and ovarian (NCT01696994).
This clinical trial studies whether screening methods used to diagnose cancer of the prostate, lung, colon, rectum, or ovaries can reduce deaths from these cancers. Screening tests may help doctors find cancer cells early and plan better treatment for prostate cancer.
This clinical trial studies whether screening methods used to diagnose cancer of the prostate, lung, colon, rectum, or ovaries can reduce deaths from these cancers. Screening tests may help doctors find cancer cells early and plan better treatment for lung cancer.
This clinical trial studies whether screening methods used to diagnose cancer of the prostate, lung, colon, rectum, or ovaries can reduce deaths from these cancers. Screening tests may help doctors find cancer cells early and plan better treatment for colorectal cancer.
This phase II Pediatric MATCH screening and multi-sub-trial studies how well treatment that is directed by genetic testing works in pediatric patients with solid tumors, non-Hodgkin lymphomas, or histiocytic disorders that have progressed following at least one line of standard systemic therapy and/or for which no standard treatment exists that has been shown to prolong survival. Genetic tests look at the unique genetic material (genes) of patients' tumor cells. Patients with genetic changes or abnormalities (mutations) may benefit more from treatment which targets their tumor's particular genetic mutation, and may help doctors plan better treatment for patients with solid tumors or non-Hodgkin lymphomas.
This research study is studying a new blood test to screen for Epidermal Growth Factor Receptor (EGFR) positive lung cancer in healthy individuals at risk for the disease and who cannot undergo regular lung cancer screening. The name of the test used in this research study is: -Circulating free DNA (cfDNA) Assay
Low-dose CT Screening has been shown in two large trials in the United States (NLST) and Europe (NELSON) to increase overall survival in subjects 55 years of age and older with a strong smoking history. Unfortunately, in both North Carolina (NC) and South Carolina (SC), subjects are found to have the above referenced smoking history prior to reaching the minimum age in these studies. This study is aimed at decreasing the minimum age of screening in a high-risk population.
This clinical trial studies whether a Quality Implementation of Lung Cancer Screening (QUILS™) System state-based initiative (SBI) intervention works to improve the statewide capacity for implementing and sustaining lung cancer screening in Mississippi (MS) and Nevada (NV). The QUILS™ Group is focused on fair and high-quality implementation of lung cancer screening among eligible individuals to reduce lung cancer-related death in underserved communities. Previous research had success with implementing interventions in Kentucky which has lead to significant increases in lung cancer screening rates and a rapid decline in late-stage lung cancer diagnoses within the state. The goal is to offer the opportunity to replicate this work in states which are eager to address suboptimal screening rates, high lung cancer-related death, and significant health equity concerns. The QUILS™ SBI intervention involves translating the success of the initial work in Kentucky to impact lung cancer screening implementation and lung cancer outcomes in MS and NV through close collaboration with state-based partners. The QUILS™ SBI intervention may be an effective way to improve the statewide capacity for implementing and sustaining lung cancer screening in MS and NV.
This research is being done to determine if an image-based deep learning model (Sybil) can accurately predict the likelihood of future lung cancer based on chest computed tomography (CT) imaging from individuals.
This is an optimization pathway for lung cancer screening programs. Enrolled programs will undergo an audit for elements associated with improved quality and retention of patients in the screening process. A feedback report is delivered to identify priorities for process improvement.
Lung cancer is responsible for more deaths in the United States than breast, prostate and colon cancer combined and is the number one cancer killer of Veterans. This is because lung cancer is usually diagnosed when the disease has spread, and cure is less likely. Lung cancer screening (LCS) finds cancer at an earlier stage when it is curable, yet only 20% of eligible Veterans have been screened. Uptake is even lower among Black Veterans despite higher lung cancer risk. Using prediction models to identify high-benefit people for whom LCS should be encouraged improves efficiency and reduces disparities. Moreover, it is more patient-centered as shared decision-making conversations can be tailored with personalized information. The US Preventive Services Task Force has called for research to demonstrate that prediction-augmented LCS can be feasibly implemented at the point-of-care. The investigators propose for VA to lead this effort with a large-scale pragmatic clinical trial to show that prediction-augmented LCS is both feasible and improves LCS uptake.
The U.S. Preventive Services Task Force recommends annual lung cancer screening (LCS) with low-dose CT for adults aged 50-80 with a ≥20 pack-year smoking history who currently smoke or quit within the past 15 years. Despite insurance coverage, only 17% of eligible Iowans were screened in 2024. Barriers include the complexity of screening and competing demands in primary care. To address these challenges, investigators propose a two-part intervention: a blood-based screening test to simplify LCS and a community pharmacist-led referral program integrated into routine pharmacy care. Eligible patients will be identified at Greenwood Pharmacy in Waterloo, Iowa. Interested individuals will be consented by a pharmacist and engaged in shared decision-making about LCS. Participants may decline screening, complete the DELFI Diagnostics FirstLook lung cancer screening blood test, or pursue CT screening through their primary care physician. Those choosing the blood test will be referred to Cedar Valley Family Medicine. Patients with a positive result will complete a standard shared decision-making visit with their PCP and, if appropriate, undergo confirmatory CT imaging. Patients with a negative result will enter a screening cohort and be re-screened annually for an additional year.
This protocol pertains specifically to the prospective lung squamous cell carcinoma pre-malignant lesion (PML) cohort that will form a primary study group for the Lung Pre-Cancer Atlas.
This clinical trial tests how well providing education improves screening for lung cancer in patients with a history of smoking. Screenings may help doctors find lung cancer sooner when it may be easier to treat. Education and counseling may be an effective method to help providers and patients learn about lung cancer screening. Providing education and decision counseling to providers and patients may increase lung cancer screening.
We use structured ClinicalTrials.gov fields when available and conservative exact-term rules for details such as biomarkers and disease setting. Every study page links to the original record, and only the study team can determine eligibility.
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