Medical imaging in immunotherapy response evaluation: from RECIST to AI-driven longitudinal models, and the distinction between risk prediction and kinetic diagnosis
Huzhe Cui, Zhengri Piao, Songnan Zhang · 2026
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Description
Huzhe Cui, Zhengri Piao, and Songnan Zhang review medical imaging in the evaluation of immunotherapy response in a 2026 paper. Drugs that free the immune system have reshaped cancer care. But the patterns they cause, such as growth that is fake, split, or too fast, fit poorly with the size rules of the standard RECIST scale.
The review traces how scoring moved from that scale to immune-tuned forms, then to scans of function and molecules. The last step is AI models trained on scans over time. The authors stress one line: such models sort risk, they do not diagnose hyperprogressive disease.
Catalog record
| CREATOR | Huzhe Cui, Zhengri Piao, Songnan Zhang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 39 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |