Body / AbdominalInterventional (IR)AI / InformaticsResearchTrainee

CT and MRI Advances for Y90 Radioembolization in HCC

Radiology AI literature (PubMed)1w ago

Review: CT/MRI biomarkers optimize TARE planning and HCC response assessment; enhancement-based criteria outperform size-based, LI-RADS TRA v2024 adds non-progressing category, radiomics/body composition metrics prognostic, but need validation.

  • Review covers preprocedural lung shunt prediction, tumor-to-non-tumor ratio, functional reserve; cone-beam CT with perfusion mapping may aid personalized dosimetry.
  • LI-RADS TRA v2024 introduces radiation-specific guidance and a watch-and-wait category for non-progressing lesions.
  • Radiomics and machine learning show accuracy for early response/survival but lack standardization and external validation.

Narrative review; specific accuracy metrics and study counts not extracted.

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