An imaging-based classification framework and differential diagnosis in onco-neurology

LIU Dan, ZHOU Bin, ZHOU Yan

Journal of Neurology and Neurorehabilitation ›› 2026, Vol. 22 ›› Issue (3) : 20260006.

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Journal of Neurology and Neurorehabilitation ›› 2026, Vol. 22 ›› Issue (3) : 20260006. DOI: 10.12022/jnnr.2026-0057
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An imaging-based classification framework and differential diagnosis in onco-neurology

  • LIU Dan, ZHOU Bin, ZHOU Yan
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Abstract

With the rapid advancement of cancer therapies, the survival of patients with malignancies has markedly improved, accompanied by an increasing incidence of cancer- and treatment-related neurological complications. These changes have driven the emergence of onco-neurology as a multidisciplinary subspecialty. This review focuses on the clinical value of imaging in onco-neurology. By integrating disease onset along the temporal course with treatment-related context, we systematically summarize major onco-neurological conditions, including paraneoplastic syndromes, diagnostic or procedure-related neurological injuries, and treatment-related neurological complications. The imaging features and key differential diagnostic considerations of these entities are discussed. In addition, the potential role of advanced multimodal neuroimaging in early injury detection, differential diagnosis, and longitudinal follow-up is explored, with the aim of providing imaging-based support for the evaluation and management of cancer-related neurological injury.

Key words

Onco-neurology / Paraneoplastic syndrome / Radiation necrosis / Immune-related adverse events / MRI

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LIU Dan, ZHOU Bin, ZHOU Yan. An imaging-based classification framework and differential diagnosis in onco-neurology[J]. Journal of Neurology and Neurorehabilitation. 2026, 22(3): 20260006 https://doi.org/10.12022/jnnr.2026-0057
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