RT Journal Article
SR Electronic
T1 Improved Algorithm for Estimation of Linear Energy Transfer in Carbon Ion Radiotherapy Plans
JF Anticancer Research
JO Anticancer Res
FD International Institute of Anticancer Research
SP 2975
OP 2984
DO 10.21873/anticanres.16468
VO 43
IS 7
A1 ANAKURA, MAI
A1 KUBOTA, YOSHIKI
A1 OIKE, TAKAHIRO
A1 MATSUMURA, AKIHIKO
A1 SAKAI, MAKOTO
A1 KANEMATSU, NOBUYUKI
A1 TASHIRO, MUTSUMI
A1 OHNO, TATSUYA
YR 2023
UL http://ar.iiarjournals.org/content/43/7/2975.abstract
AB Background/Aim: This study aimed to develop an improved algorithm for linear energy transfer (LET) estimation in carbon ion radiotherapy (CIRT) using relative biological effectiveness (RBE) and to establish a clinical pipeline for LET assessment. Materials and Methods: New approximation functions for LET versus RBE were developed for the overkill region. LET estimation performance was examined at two facilities (A and B) using archival- and Monte Carlo simulation-derived LET data, respectively, as a reference. A clinical pipeline for LET assessment was developed using Python and treatment planning systems (TPS). Results: In dataset A, LET estimation accuracy in the overkill region was improved by 80.0%. In dataset B, estimation accuracy was 2.3%±0.67% across 5 data points examined. LET distribution and LET-volume histograms were visualized for multiple CIRT plans. Conclusion: The new algorithm showed a greater LET estimation performance at multiple facilities using the same TPS. A clinical pipeline for LET assessment was established.