Using advanced imaging techniques to improve cancer detection in bone biopsies
Molecular and cellular imaging of bone biopsies using AI augmented deep UV Raman microscopy
This study is testing a new imaging technique to help doctors better detect bone cancer by looking at bone samples more closely, which could lead to finding cancer earlier and improving how patients are diagnosed.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Texas Engineering Experiment Station NIH-funded |
| Lab location | 1 site (College Station, United States) |
| Project ID | NIH-10900451 on NIH RePORTER |
What this research studies
This research focuses on developing a new imaging technology called deep-UV Raman microscopy to analyze bone biopsies for cancer detection. By enhancing the sensitivity and specificity of this imaging method, the goal is to improve early detection and clinical diagnostics of bone tumors. The approach involves using advanced algorithms and hyperspectral imaging to provide detailed molecular information from biological tissues, which could lead to more accurate diagnoses. Patients may benefit from improved screening processes that could detect cancer at earlier stages.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals undergoing biopsy procedures for suspected bone tumors or metastatic cancer.
Not a fit: Patients with non-cancerous bone conditions or those who do not require a biopsy may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate detection of bone cancer, improving treatment outcomes for patients.
How similar studies have performed: Other research has shown promising results using advanced imaging techniques for cancer detection, indicating that this approach has potential for success.
Where this research is happening
College Station, United States
- Texas Engineering Experiment Station — College Station, United States (Active)
Researchers
- Principal investigator: Yakovlev, Vladislav V. — Texas Engineering Experiment Station
- Study coordinator: Yakovlev, Vladislav V.
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.