This is a prospective observational study designed to address the clinical challenge posed by the high false-positive rate associated with CT imaging in early lung cancer screening. The primary objective is to develop a multi-omics technology for early lung cancer screening, leveraging \*\exhaled breath metabolomics, plasma metabolomics, radiomics, and liquid …
This project aims to employ a sample preprocessing system in conjunction with three-dimensional imaging techniques to generate morphologically more complete, high-resolution datasets for lung and colorectal cancers. Building on systematic experimental optimization of the preprocessing system, the investigators will establish tissue-clearing workflows and transparency assessment criteria specifically for lung and …
Lung cancer screening is currently not recommended in non-smokers due to paucity of evidence. Emerging evidence suggests that first-degree family history is a strong risk factor for lung cancer in Asian non-smokers. In Asia, lack of resource is a major challenge in successful implementation of lung cancer screening. Artificial intelligence …
The goal of this observational study is to evaluate the efficacy and long-term clinical outcomes of early-stage lung cancer patients who have received surgery using the real-world data. The main questions it aims to answer are: What is the best surgical strategy for patients with early-stage lung cancer? What are …
This study proposes to increase Lung-cancer screening (LCS) in the Bronx, New York. Despite strong evidence that Lung-cancer screening (LCS) can reduce Lung cancer (LCa) deaths, low-dose computed tomography (LDCT) referral rates by clinicians are very low and there is poor adherence with LCS by patients. Both provider and patient …
Evaluate FlowPath Lung Diagnostic Test of Sputum Samples to Detect the Presence of Lung Cancer in High-risk Individuals Who Have Existing Lung Nodules, \>6 to \<30 mm in Diameter, Determined by LDCT.
The long-term goal of this program of research is to increase the reach of Lung Cancer Screening (LCS) among low-resource healthcare settings and populations. The proposed project, LUNG-IS, is a mixed-methods, pre-post quasi-experimental design conducted in three Utah safety-net healthcare system clinics. LUNG-IS employs a comprehensive conceptual model with theories, …
To evaluate the real-world effectiveness and implementation strategies for mPATH-Lung, investigators propose a pragmatic, randomized controlled trial across an academic Learning Health System. The trial will contrast several approaches to participant outreach and will specifically target engaging fully powered cohorts of racial/ethnic minorities and rural residents.
The study is a prospective, non-randomized feasibility study evaluating blood sample and machine learning-based risk stratification for lung cancer in patients with COPD (chronic obstructive pulmonary disease). Patients with COPD will be recruited in general practice, where they will have a blood sample drawn. All data will be analyzed by …
This is a multi-centre, observational study, with retrospective data collection and prospective active follow-up. The aim is to measure the treatment pattern and real-world outcomes of EGFR-TKI as an adjuvant therapy in patients with early-stage EGFR-mutated NSCLC. The study period ranges from July 1st, 2022 to June 30th, 2031. Approximately …
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