New methods for early detection of lung cancer using advanced imaging techniques
Official title: Novel Integrative Approach for the Early Detection of Lung Cancer using Repeated Measures
Funded at Vanderbilt University Medical Center · NIH-11134809 · Data updated 2026-11-12
This study is looking at how to better spot lung cancer early by using low-dose CT scans to track lung nodules over time, helping doctors tell which nodules are harmless and which might lead to cancer, so they can better support patients at risk.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Vanderbilt University Medical Center NIH-funded |
| Lab location | 1 site (Nashville, United States) |
| Project start | September 1, 2024 |
| Project end | August 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $175,000 |
| NIH project number | 3R01CA253923-04S1 |
| Project ID | NIH-11134809 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who have undergone low-dose CT scans for lung cancer screening and have lung nodules identified.
✕Less likely to help
Patients without lung nodules or those who have already been diagnosed with lung cancer may not benefit from this research.
What this research studies
This research focuses on improving the early diagnosis of lung cancer by analyzing data from low-dose CT scans collected over time. It aims to differentiate between benign and malignant lung nodules by tracking their development through advanced imaging techniques and artificial intelligence. By studying the natural history of these nodules, the project seeks to identify which patients are at risk of developing cancer and which are not. This approach leverages a large dataset from the National Lung Screening Trial to enhance the accuracy of lung cancer detection.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate detection of lung cancer, significantly improving patient outcomes.
How similar studies have gone: Previous research has shown promise in using AI and longitudinal imaging data for cancer detection, indicating that this approach could be effective.
Where this research is happening
-
Vanderbilt University Medical Center
Nashville, United States Active
Researchers
- Principal investigator: Maldonado, Fabien — Vanderbilt University Medical Center
- Study coordinator: Maldonado, Fabien
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Optimizing lung cancer care with smart tools for prevention, early detection, treatment, and survivorship
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.