Using AI to improve treatment planning for head and neck cancer patients
Probabilistic Deep Learning Cervical Lymph-Node Auto-Segmentation For Imaging-enhanced Evaluation of Extracapsular Extension Risk (PDL-CLASIFIER)
['FUNDING_R03'] · UNIVERSITY OF TX MD ANDERSON CAN CTR · NIH-11058478
This study is looking at how artificial intelligence can help doctors better plan treatments for patients with HPV-related throat cancer, so they can find out who can safely have robotic surgery without needing extra treatments, which could help protect healthy tissue and improve life after cancer.
Quick facts
| Phase | ['FUNDING_R03'] |
|---|---|
| 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-11058478 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing the treatment planning for patients with HPV-associated oropharyngeal cancer by utilizing artificial intelligence to accurately identify those who can undergo trans-oral robotic surgery without the need for additional therapy. The study aims to develop AI methods that can detect and segment metastatic lymph nodes and extracapsular extension risk from imaging data. By improving the accuracy of these assessments, the research seeks to help clinicians make better-informed treatment decisions, ultimately aiming to reduce unnecessary damage to healthy tissue and improve the quality of life for survivors.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients diagnosed with HPV-associated oropharyngeal cancer who are being considered for trans-oral robotic surgery.
Not a fit: Patients with head and neck cancers not associated with HPV or those who are not candidates for surgical intervention may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more precise treatment plans that minimize unnecessary therapies and improve the quality of life for patients with head and neck cancer.
How similar studies have performed: Previous research has shown promising results in using AI for imaging analysis in cancer treatment, indicating that this approach has the potential for success.
Where this research is happening
HOUSTON, UNITED STATES
- UNIVERSITY OF TX MD ANDERSON CAN CTR — HOUSTON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: NASER, MOHAMED — UNIVERSITY OF TX MD ANDERSON CAN CTR
- Study coordinator: NASER, MOHAMED
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.