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Published on: December 30, 2016
Contrast-induced changes in chemical exchange saturation transfer MRI differentiate tumor progression from
Biorxiv : the Preprint Server for Biology
|May 18, 2026
Summary
Gadolinium-DOTA (Gd-DOTA) with amine chemical-exchange saturation transfer (amine-CEST) imaging can differentiate tumor pseudo-progression from true progression. This novel imaging approach distinguishes macrophages from cancer cells, aiding treatment decisions in oncology.
Area of Science:
- Oncology
- Medical Imaging
- Immunotherapy
Background:
- Tumor pseudo-progression (PsP) mimics true progression, often leading to premature treatment cessation.
- Distinguishing PsP from true progression is crucial for effective cancer treatment.
- Current imaging methods struggle to differentiate inflammatory infiltrates from viable tumor cells.
Purpose of the Study:
- To explore gadoterate meglumine (Gd-DOTA) and amine-CEST imaging for differentiating tumor from radiation necrosis.
- To assess Gd-DOTA uptake by infiltrating immune cells, like macrophages, using amine-CEST.
- To develop a non-invasive imaging biomarker for PsP and treatment response monitoring.
Main Methods:
- Incubation of F98 cancer cells and macrophages with Gd-DOTA.
- Amine-CEST imaging on a 9.4 Tesla preclinical scanner.
- In vivo amine-CEST imaging in F98 tumor-bearing and radiation necrotic rats post-Gd-DOTA injection.
Main Results:
- Macrophages showed a ~40% decrease in amine-CEST signal after Gd-DOTA uptake, indicating T1 shortening.
- Cancer cells did not show significant changes in amine-CEST signal, indicating no Gd-DOTA uptake.
- In vivo studies revealed decreased amine-CEST contrast in radiation necrotic rats (macrophage uptake) but not in tumor-bearing rats (no cancer cell uptake).
Conclusions:
- Amine-CEST imaging combined with Gd-DOTA can differentiate macrophages from cancer cells based on Gd-DOTA uptake.
- This method shows promise for non-invasively characterizing pseudo-progressive lesions.
- The approach could aid in monitoring treatment responses and optimizing cancer patient management.
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