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Review
. 2022 Mar 29;29(4):2422-2434.
doi: 10.3390/curroncol29040196.

Optimization of the Clinical Effectiveness of Radioembolization in Hepatocellular Carcinoma with Dosimetry and Patient-Selection Criteria

Philippe d'Abadie  1 , Stephan Walrand  1 , Renaud Lhommel  1 , Michel Hesse  1 , Ivan Borbath  2 , François Jamar  1
Affiliations
Review

Optimization of the Clinical Effectiveness of Radioembolization in Hepatocellular Carcinoma with Dosimetry and Patient-Selection Criteria

Philippe d'Abadie et al. Curr Oncol. .

Abstract

Selective internal radiation therapy (SIRT) is part of the treatment strategy for hepatocellular carcinoma (HCC). Strong clinical data demonstrated the effectiveness of this therapy in HCC with a significant improvement in patient outcomes. Recent studies demonstrated a strong correlation between the tumor response and the patient outcome when the tumor-absorbed dose was assessed by nuclear medicine imaging. Dosimetry plays a key role in predicting the clinical response and can be optimized using a personalized method of activity planning (multi-compartmental dosimetry). This paper reviews the main clinical results of SIRT in HCC and emphasizes the central role of dosimetry for improving it effectiveness. Moreover, some patient and tumor characteristics predict a worse outcome, and toxicity related to SIRT treatment of advanced HCC patient selection based on the performance status, liver function, tumor characteristics, and tumor targeting using technetium-99m macro-aggregated albumin scintigraphy can significantly improve the clinical performance of SIRT.

Keywords: dosimetry; hepatocellular carcinoma; liver radioembolization; optimization; selective internal radiation therapy.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Multi-compartment dosimetry (partition model) using technetium-99m macro-aggregated albumin single-photon emission computed tomography combined with computed tomography for activity planning. The absorbed doses in these different compartments can be simulated before treatment and enable optimization of the activity planned.
See this image and copyright information in PMC

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