Improving treatment decisions for head and neck cancer patients
Longitudinal Spatial-Nonspatial Decision Support for Competing Outcomes in Head and Neck Cancer Therapy
['FUNDING_R01'] · UNIVERSITY OF ILLINOIS AT CHICAGO · NIH-11042810
This study is working on new ways to help doctors make better treatment choices for people with head and neck cancer by using advanced technology to look at different types of patient information, so they can create personalized plans that improve your health and comfort during treatment.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF ILLINOIS AT CHICAGO (nih funded) |
| Locations | 1 site (Chicago, UNITED STATES) |
| Trial ID | NIH-11042810 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing decision-making for head and neck cancer therapies by developing advanced statistical and computational methods. It aims to analyze a wide range of patient data, including imaging and non-imaging factors, to predict treatment outcomes and side effects more accurately. By incorporating complex variables such as radiation dose locations and patient-reported side effects, the research seeks to create personalized treatment plans that improve patient quality of life. This innovative approach addresses the limitations of current decision support systems in oncology.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with head and neck squamous cell carcinoma who are undergoing treatment.
Not a fit: Patients with cancers not related to the head and neck or those who are not receiving treatment for their cancer may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatment strategies for head and neck cancer patients, ultimately improving survival rates and quality of life.
How similar studies have performed: Other research has shown promise in using advanced computational methods for personalized cancer treatment, indicating that this approach could be effective.
Where this research is happening
Chicago, UNITED STATES
- UNIVERSITY OF ILLINOIS AT CHICAGO — Chicago, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: MARAI, GEORGETA-ELISABETA — UNIVERSITY OF ILLINOIS AT CHICAGO
- Study coordinator: MARAI, GEORGETA-ELISABETA
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: American Joint Committee on Cancer, anti-cancer therapy