PMID- 34877460 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20220429 IS - 2513-9878 (Electronic) IS - 2513-9878 (Linking) VI - 3 IP - 1 DP - 2021 TI - The effect on tumour control probability of using AXB algorithm in replacement of AAA for SBRT of hepatocellular carcinoma located at lung-liver boundary region. PG - 20210041 LID - 10.1259/bjro.20210041 [doi] LID - 20210041 AB - OBJECTIVE: To retrospectively analyze the clinical impact on stereotactic body radiation therapy (SBRT) for hepatocellular carcinoma (HCC) located at lung-liver boundary due to the use of Acuros XB algorithm (AXB) in replacement of anisotropic analytical algorithm (AAA). METHODS: 23 SBRT volumetric modulated arc therapy (VMAT) plans for HCC located at lung-liver boundary were calculated using AAA and AXB respectively with the same treatment parameters. The dose-volume data of the planned target volumes (PTVs) were compared. A published tumour control probability (TCP) model was used to calculate the effect of dosimetric difference between AAA and AXB on tumour control probability. RESULTS: For dose calculated by AXB (Dose to medium), the D95% and D98% of the PTV were on average 2.4 and 3.1% less than that calculated by AAA. For dose calculated by AXB (dose to water), the D95% and D98% of the PTV were on average 1.8%, and 2.7% less than that calculated by AAA. Up to 5% difference in D95% and 8% difference in D98% were observed in the worst cases. The significant decrease in D95% calculated by AXB compared to AAA could result in a % decrease in 2 year TCP up to 8% in the worst case (from 46.8 to 42.9%). CONCLUSION: The difference in dose calculated by AAA and AXB could lead to significant difference in TCP for HCC SBRT located at lung-liver boundary region. ADVANCES IN KNOWLEDGE: The difference in calculated dose and tumour control probability for HCC SBRT between AAA and AXB algorithm at lung-liver boundary region was compared. CI - (c) 2021 The Authors. Published by the British Institute of Radiology. FAU - Cheung, Michael Lok Man AU - Cheung MLM FAU - Kan, Monica Wk AU - Kan MW FAU - Yeung, Vanessa Ty AU - Yeung VT FAU - Poon, Darren Mc AU - Poon DM AD - State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong, SAR, China. FAU - Kam, Michael Km AU - Kam MK AD - State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong, SAR, China. FAU - Lee, Louis Ky AU - Lee LK AD - State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong, SAR, China. FAU - Chan, Anthony Tc AU - Chan AT LA - eng PT - Journal Article DEP - 20211124 PL - England TA - BJR Open JT - BJR open JID - 101749810 PMC - PMC8611685 EDAT- 2021/12/09 06:00 MHDA- 2021/12/09 06:01 PMCR- 2021/10/18 CRDT- 2021/12/08 06:34 PHST- 2021/06/21 00:00 [received] PHST- 2021/09/16 00:00 [revised] PHST- 2021/09/30 00:00 [accepted] PHST- 2021/12/08 06:34 [entrez] PHST- 2021/12/09 06:00 [pubmed] PHST- 2021/12/09 06:01 [medline] PHST- 2021/10/18 00:00 [pmc-release] AID - 10.1259/bjro.20210041 [doi] PST - epublish SO - BJR Open. 2021 Nov 24;3(1):20210041. doi: 10.1259/bjro.20210041. eCollection 2021.