Improving lung cancer screening accuracy with low-dose CT images and data
Official title: LOW-DOSE COMPUTED TOMOGRAPHY IMAGES AND CORRESPONDING DATA
Funded at Booz Allen Hamilton · NIH-11160401 · Data updated 2026-11-12
This study is working to make lung cancer screenings more accurate and less stressful for patients by using smart technology to help doctors figure out who really needs further testing after a low-dose CT scan.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Booz Allen Hamilton NIH-funded |
| Lab location | 1 site (Mc Lean, United States) |
| Project start | September 16, 2022 |
| Project end | September 15, 2025 |
| Funding year | 2024 |
| Award (this year) | $497,575 |
| NIH project number | 91022A00691022F00001-P00003-0-1 |
| Project ID | NIH-11160401 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who have undergone low-dose CT lung screening and received positive results.
✕Less likely to help
Patients who have not undergone lung cancer screening or those without any positive CT findings may not benefit from this research.
What this research studies
This research focuses on enhancing the accuracy of lung cancer screening using low-dose computed tomography (LDCT) images. It aims to reduce the high false positive rates associated with LDCT, which can lead to unnecessary anxiety and invasive procedures for patients. By utilizing advanced data analysis and artificial intelligence, the study seeks to better predict which patients with positive LDCT results actually have cancer, thereby improving diagnostic processes and patient outcomes. The research will analyze clinical data to refine the criteria for follow-up biopsies, ultimately aiming to streamline the diagnostic pathway for lung cancer.
Why it matters
Potential benefit: If successful, this research could significantly reduce unnecessary biopsies and anxiety for patients while improving early detection of lung cancer.
How similar studies have gone: Previous studies have shown promise in improving diagnostic accuracy in lung cancer screening, indicating that this approach has the potential for success.
Where this research is happening
-
Booz Allen Hamilton
Mc Lean, United States Active
Researchers
- Principal investigator: Fernandez, Anna — Booz Allen Hamilton
- Study coordinator: Fernandez, Anna
Related research
Other NIH-funded projects on the same topics.
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Developing solutions to address the opioid crisis.
This study is working to find better ways to help people struggling with opioid misuse and addiction, so they can get faster and more effective treatments that really make a difference.
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Improving lung cancer screening with low-dose CT images and data
This study is looking to improve lung cancer screening with low-dose CT scans by finding better ways to tell which patients really need more tests after a positive result, so we can reduce unnecessary worry and costs while making sure those who need help get it faster.
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.