Improving PET/CT imaging for better lymphoma treatment decisions

Multimodal Learning for Contextually-Aware Longitudinal PET/CT image analysis

['FUNDING_R01'] · UNIVERSITY OF WISCONSIN-MADISON · NIH-10988306

This study is working on using smart computer programs to better analyze PET/CT scans for lymphoma patients, helping doctors get more accurate information about how well treatments are working, so patients can receive more tailored and effective care.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorUNIVERSITY OF WISCONSIN-MADISON (nih funded)
Locations1 site (MADISON, UNITED STATES)
Trial IDNIH-10988306 on ClinicalTrials.gov

What this research studies

This research focuses on enhancing the analysis of PET/CT imaging for lymphoma patients by developing advanced deep learning algorithms. These algorithms will analyze images taken at multiple time points to provide more accurate and context-aware evaluations of treatment responses. By moving beyond traditional visual scoring methods, which can be subjective and inconsistent, this project aims to automate and improve the accuracy of quantitative assessments of lymphoma. Patients may benefit from more personalized and effective treatment plans based on these improved imaging analyses.

Who could benefit from this research

Good fit: Ideal candidates for this research are adults diagnosed with lymphoma who are undergoing treatment and require PET/CT imaging for evaluation.

Not a fit: Patients with lymphoma who are not receiving PET/CT imaging or those with other unrelated conditions may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate diagnoses and treatment adaptations for lymphoma patients, ultimately improving their outcomes.

How similar studies have performed: Other research has shown promise in using deep learning for medical imaging analysis, indicating that this approach could lead to significant advancements in the field.

Where this research is happening

MADISON, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.