Verification of linear energy transfer optimized carbon-ion radiotherapy

<i>Objective.</i>Linear energy transfer (LET) verification was conducted using a silicon-on-insulator (SOI) microdosimeter during the commissioning of LET-optimized carbon-ion radiotherapy (CIRT). This advanced treatment technique is expected to improve local control rates, especially in hypoxic tumors.<i>Approach.</i>An SOI microdosimeter with a cylindrical sensitive volume of 30<i>μ</i>m diameter and 5<i>μ</i>m thickness was used. Simple cubic plans and patient plans using the carbon-ion beams were created by treatment planning system, and the calculated LET<sub>d</sub>values were compared with the measured LET<sub>d</sub>values obtained by the SOI microdosimeter.<i>Main results.</i>Reasonable agreement between the measured and calculated LET<sub>d</sub>was seen in the plateau region of depth LET<sub>d</sub>profile, whereas the measured LET<sub>d</sub>were below the calculated LET<sub>d</sub>in the peak region, specifically where LET<sub>d</sub>exceeds 75 keV<i>μ</i>m<sup>-1</sup>. The discrepancy in the peak region may arise from the uncertainties in the calibration process of the SOI microdosimeter. Excluding the peak region, the average ratio and standard deviation between measured and calculated LET<sub>d</sub>values were 0.996 and 7%, respectively.<i>Significance.</i>This verification results in the initiation of clinical trials for LET-optimized CIRT at QST Hospital, National Institutes for Quantum Science and Technology.

Authors

Institutions

Publication Details

Journal
Physics in Medicine and Biology
Published
2024-11-07
DOI
https://doi.org/10.1088/1361-6560/ad8fec
Citations
4
Primary Topic
Radiation Therapy and Dosimetry
Type
article
Field-Weighted Citation Impact
1.68

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Verification of linear energy transfer optimized carbon-ion radiotherapy

Katsumi Aoki, Taku Inaniwa, D. Sakata, Taku Nakaji et al.
4 citations
Physics in Medicine and Biology
Radiation Therapy and Dosimetry
1.68
article

Verification of linear energy transfer optimized carbon-ion radiotherapy

Katsumi Aoki, Taku Inaniwa, D. Sakata, Taku Nakaji, Anatoly Rosenfeld, Linh T. Tran, Kota Mizushima, Sung Hyun Lee, Hideyuki Mizuno
article en
4 citations

Abstract

<i>Objective.</i>Linear energy transfer (LET) verification was conducted using a silicon-on-insulator (SOI) microdosimeter during the commissioning of LET-optimized carbon-ion radiotherapy (CIRT). This advanced treatment technique is expected to improve local control rates, especially in hypoxic tumors.<i>Approach.</i>An SOI microdosimeter with a cylindrical sensitive volume of 30<i>μ</i>m diameter and 5<i>μ</i>m thickness was used. Simple cubic plans and patient plans using the carbon-ion beams were created by treatment planning system, and the calculated LET<sub>d</sub>values were compared with the measured LET<sub>d</sub>values obtained by the SOI microdosimeter.<i>Main results.</i>Reasonable agreement between the measured and calculated LET<sub>d</sub>was seen in the plateau region of depth LET<sub>d</sub>profile, whereas the measured LET<sub>d</sub>were below the calculated LET<sub>d</sub>in the peak region, specifically where LET<sub>d</sub>exceeds 75 keV<i>μ</i>m<sup>-1</sup>. The discrepancy in the peak region may arise from the uncertainties in the calibration process of the SOI microdosimeter. Excluding the peak region, the average ratio and standard deviation between measured and calculated LET<sub>d</sub>values were 0.996 and 7%, respectively.<i>Significance.</i>This verification results in the initiation of clinical trials for LET-optimized CIRT at QST Hospital, National Institutes for Quantum Science and Technology.

Physics in Medicine and BiologyVol. 69(23)
Yamagata University (JP), University of Wollongong (AU), Osaka Health Science University (JP), National Institutes for Quantum Science and Technology (JP), The University of Osaka (JP)
Exploratory Research for Advanced Technology
Openalex Percentile: Top 14%
Radiation Therapy and Dosimetry
1.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.