Improving lung cancer screening and diagnosis based on individual risk and life expectancy
Optimizing Personalized Screening and Diagnostic Decisions for Lung Cancer Based on Dynamic Risk Assessment and Life Expectancy
['FUNDING_R37'] · UNIVERSITY OF TX MD ANDERSON CAN CTR · NIH-11078216
This study is looking to improve how we find and diagnose lung cancer by figuring out who might benefit the most from screening, especially those who are newly eligible, so we can catch it early and help more people get the right care without unnecessary tests.
Quick facts
| Phase | ['FUNDING_R37'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF TX MD ANDERSON CAN CTR (nih funded) |
| Locations | 1 site (HOUSTON, UNITED STATES) |
| Trial ID | NIH-11078216 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing the screening and diagnostic processes for lung cancer by using personalized risk assessments and life expectancy evaluations. It aims to identify individuals who are most likely to benefit from lung cancer screening, particularly those who may be at lower risk but are newly eligible due to relaxed screening criteria. The study will analyze data from low-dose computed tomography (LDCT) screenings and develop models to better predict which patients should undergo further diagnostic procedures, thereby minimizing unnecessary risks and costs. By refining these processes, the research seeks to improve early detection and treatment outcomes for lung cancer patients.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals who are newly eligible for lung cancer screening based on updated guidelines, particularly younger and lighter smokers.
Not a fit: Patients who are not eligible for lung cancer screening or those with advanced-stage lung cancer may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate lung cancer screenings, reducing unnecessary procedures and improving early detection rates.
How similar studies have performed: Previous research has shown promise in using personalized risk assessments for cancer screening, indicating that this approach could lead to significant advancements in lung cancer detection.
Where this research is happening
HOUSTON, UNITED STATES
- UNIVERSITY OF TX MD ANDERSON CAN CTR — HOUSTON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: TOUMAZIS, IAKOVOS — UNIVERSITY OF TX MD ANDERSON CAN CTR
- Study coordinator: TOUMAZIS, IAKOVOS
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 below.
Conditions: Cancer Cause, cancer diagnosis, Cancer Etiology