Abstract
Abstract
Background
The prediction of response is one of the major challenges in radiation-based therapies. Although the selection of accurate linear–quadratic model parameters is essential for the estimation of radiation response and treatment outcome, there is a limited knowledge about these radiobiological parameters for liver tumours using radionuclide treatments.
Methods
The “clinical radiobiological” parameters ($$T_{{\text{p}}}$$
T
p
, $$T_{{\text{k}}}$$
T
k
, $$\alpha$$
α
, $$\alpha {/}\beta$$
α
/
β
) for twenty-five patients were derived using the generalised linear–quadratic model, the diagnostic ([18F] FDG PET/CT) and therapeutic ([90Y]-SIR-Spheres PET/CT) images to compute the biological effective dose and tumour control probability (TCP) for each patient.
Results
It was estimated that the values for $$\alpha$$
α
and $$\alpha {/}\beta$$
α
/
β
parameters range in ≈ 0.001–1 Gy−1 and ≈ 1–49 Gy, respectively. We have demonstrated that the time factors, $$T_{{\text{p}}}$$
T
p
, $$T_{{\text{k}}}$$
T
k
and $$T_{{{\text{critic}}}}$$
T
critic
are the key parameters when evaluating liver malignancy lesional response to [90Y]SIR-Spheres treatment. Patients with cholangiocarcinoma have been shown to have the longest average $$T_{{\text{p}}}$$
T
p
(≈ 236 ± 67 d), highest TCP (≈ 53 ± 17%) and total liver lesion glycolysis response ($$\Delta {\text{TLG}}_{{{\text{liver}}}}$$
Δ
TLG
liver
≈ 64%), while patients with metastatic colorectal cancer tumours have the shortest average $$T_{{\text{p}}}$$
T
p
(≈ 129 ± 19 d), lowest TCP (≈ 28 ± 13%) and $$\Delta {\text{TLG}}_{{{\text{liver}}}}$$
Δ
TLG
liver
≈ 8%, respectively.
Conclusions
Tumours with shorter $$T_{{\text{k}}}$$
T
k
have shown a shorter $$T_{{{\text{critic}}}}$$
T
critic
and thus poorer TCP and $$\Delta {\text{TLG}}_{{{\text{liver}}}}$$
Δ
TLG
liver
. Therefore, these results suggest for such tumours the [90Y]SIR-Spheres will be only effective at higher initial dose rate (e.g. > 50 Gy/day).
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Radiation
Cited by
2 articles.
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