Using advanced imaging technology to improve cancer risk assessment for lung nodules
Official title: Assessment of a Radiomics-Based Computer-Aided Diagnosis Tool for Cancer Risk Stratification of Pulmonary Nodules
Funded at University of Pennsylvania · NIH-10890087 · Data updated 2026-11-12
This study is testing a new computer tool that helps doctors better understand lung nodules seen in CT scans, making it easier to spot lung cancer early and avoid unnecessary procedures, so patients can get the right care they need.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project start | August 1, 2023 |
| Project end | July 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $249,555 |
| NIH project number | 5K08CA279881-02 |
| Project ID | NIH-10890087 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals with pulmonary nodules detected through CT imaging who are at risk for lung cancer.
✕Less likely to help
Patients without pulmonary 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 enhancing the diagnostic evaluation of pulmonary nodules (PNs) to improve early detection of lung cancer while reducing unnecessary procedures. It utilizes a radiomics-based computer-aided diagnosis (CAD) tool that analyzes CT imaging data to provide insights that are not visible to the naked eye. By improving the accuracy of malignancy risk estimation, the project aims to help clinicians make better decisions about whether patients need invasive biopsies or can be monitored with imaging. The research is part of a comprehensive career development plan for a physician-scientist dedicated to thoracic oncology.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses of lung cancer, reducing the need for invasive procedures and improving patient outcomes.
How similar studies have gone: Previous research has shown promise in using radiomics for improving diagnostic accuracy, indicating that this approach has potential for success.
Where this research is happening
-
University of Pennsylvania
Philadelphia, United States Active
Researchers
- Principal investigator: Kim, Roger Yeon-Kyu — University of Pennsylvania
- Study coordinator: Kim, Roger Yeon-Kyu
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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.