Background & AimsEfficacy of radioembolization is derived from radioinduced damage, whereas tumour dosimetry is not considered as yet in prospective clinical trials.ObjectivesThis study evaluates the impact of tumour dose (TD), based on 99mTc macroaggregated albumin (MAA) quantification, on response and overall survival (OS).Materials and MethodsWe consecutively included 85 patients with hepatocellular carcinoma treated with 90Y‐loaded glass microspheres. TD was calculated using a quantitative analysis of the MAA SPECT/CT. Responses were assessed after 3 months using the European Association for the Study of the Liver criteria. OS was assessed using Kaplan–Meier tests.ResultsResponse rate was 80.3% on lesion‐based analysis (n=132), and 77.5% on patient‐based analysis. The response rate was only 9.1% for patients with TD <205 Gy against 89.7% for those with TD ≥205 Gy (P<10−7). Non‐portal vein thrombosis (PVT) patients exhibited a median OS of 11.75 m (95% CI: 3–30.7 m) for TD <205 Gy, and 25 m (95% CI: 15–34.7 m) for TD ≥205 Gy (P=.0391). PVT patients exhibited a 4.35 m median OS (95% CI: 2–8 m) for TD<205 Gy, and 15.7 m (95% CI: 9.5–25.5 m) for TD ≥205 Gy, (P=.0004), with HR of 6.99. PVT patients exhibited a median OS of 3.6 m (95% CI: 2–8 m) when PVT MAA targeting was poor or with TD <205 Gy (poor candidate), vs 17.5 m (95% CI: 11–26.5 m) for the others identified as good candidates (P<.0001), with HR of 12.85.ConclusionThis study confirms the highly predictive value of MAA‐based TD evaluation for response and OS. TD evaluation and PVT MAA targeting should be further evaluated in ongoing trials, whereas personalized dosimetry should be implemented in new trial designs.
PurposeThis study aimed at identifying prior therapy dosimetric parameters using 99mTc-labeled macro-aggregates of albumin (MAA) that are associated with contralateral hepatic hypertrophy occurring after unilobar radioembolization of hepatocellular carcinoma (HCC) performed with 90Y–loaded glass microspheres.MethodsThe dosimetry data of 73 HCC patients were collected prior to the treatment with 90Y–loaded microspheres for unilateral disease. The injected liver dose (ILD), the tumor dose (TD) and healthy injected liver dose (HILD) were calculated based on MAA quantification. Following treatment, the maximal hypertrophy (MHT) of an untreated lobe was calculated.ResultsMean MHT was 35.4 ± 40.4%. When using continuous variables, the MHT was not correlated with any tested variable, i.e., injected activity, ILD, HILD or TD except with a percentage of future remnant liver (FRL) following the 90Y–microspheres injection (r = −0.56). MHT ≥ 10% was significantly more frequent for patients with HILD ≥ 88 Gy, (52% of the cases), i.e., in 92.2% versus 65.7% for HILD < 88 Gy (p = 0.032). MHT ≥ 10% was also significantly more frequent for patients with a TD ≥ 205 Gy and a tumor volume (VT) ≥ 100 cm3 in patients with initial FRL < 50%. MHT ≥10% was seen in 83.9% for patients with either an HILD ≥ 88 Gy or a TD ≥ 205 Gy for tumors larger than 100cm3 (85% of the cases), versus only 54.5% (p = 0.0265) for patients with none of those parameters. MHT ≥10% was also associated with FRL and the Child-Pugh score. Using multivariate analysis, the Child-Pugh score (p < 0.0001), FRL (p = 0.0023) and HILD (p = 0.0029) were still significantly associated with MHT ≥10%.ConclusionThis study demonstrates for the first time that HILD is significantly associated with liver hypertrophy. There is also an impact of high tumor doses in large lesions in one subgroup of patients. Larger prospective studies evaluating the MAA dosimetric parameters have to be conducted to confirm these promising results.
When combined with chemotherapy, SIRT is highly effective, with a TD > 158Gy. Tolerance was good except for the few patients with cirrhosis or Child-Pugh status ≥A6, who exhibited some liver toxicity. Prospective studies are warranted to confirm.
Disclosure of fundingLuc Beuzit received a grant from Rennes University of Medicine for this work ("Prix jeune chercheur")
Short titleInter-software variability of DCE-MRI Conclusion. Significant errors were found in the calculated DCE-MR imaging pharmacokinetic parameters for the perfusion analysis SPs, resulting in poor inter-software reproducibility.
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