TY - JOUR
T1 - Split-filter dual energy computed tomography radiotherapy
T2 - From calibration to image guidance
AU - Edmund, Jens
AU - Feen Rønjom, Marianne
AU - van Overeem Felter, Mette
AU - Maare, Christian
AU - Margrete Juul Dam, Annica
AU - Tsaggari, Eirini
AU - Wohlfahrt, Patrick
N1 - © 2023 The Authors.
PY - 2023/10
Y1 - 2023/10
N2 - BACKGROUND AND PURPOSE: Dual-energy computed tomography (DECT) is an emerging technology in radiotherapy (RT). Here, we investigate split-filter DECT throughout the RT treatment chain as compared to single-energy CT (SECT).MATERIALS AND METHODS: DECT scans were acquired with a tin-gold split-filter at 140 kV resulting in a low- and high-energy CT reconstruction (recon). Ten cancer patients (four head-and-neck (HN), three rectum, two anal/pelvis and one abdomen) were DECT scanned without and with iodine administered. A cylindrical and an anthropomorphic HN phantom were scanned with DECT and 120 kV SECT. The DECT images generated were: 120 kV SECT-equivalent (CTmix), virtual monoenergetic images (VMIs), iodine map, virtual non-contrast (VNC), effective atomic number (Zeff), and relative electron density (ρe,w). The clinical utility of these recons was investigated for calibration, delineation, dose calculation and image-guided RT (IGRT).RESULTS: A calibration curve for 75 keV VMI had a root-mean-square-error (RMSE) of 34 HU in closest agreement with the RSME of SECT calibration. This correlated with a phantom-based dosimetric agreement to SECT of γ1%1mm > 98%. A 40 keV VMI recon was most promising to improve tumor delineation accuracy with an average evaluation score of 1.6 corresponding to "partial improvement". The dosimetric impact of iodine was in general < 2%. For this setup, VNC vs. non-contrast CTmix based dose calculations are considered equivalent. SECT- and DECT-based IGRT was in agreement within the setup uncertainty.CONCLUSIONS: DECT-based RT could be a feasible alternative to SECT providing additional recons to support the different steps of the RT workflow.
AB - BACKGROUND AND PURPOSE: Dual-energy computed tomography (DECT) is an emerging technology in radiotherapy (RT). Here, we investigate split-filter DECT throughout the RT treatment chain as compared to single-energy CT (SECT).MATERIALS AND METHODS: DECT scans were acquired with a tin-gold split-filter at 140 kV resulting in a low- and high-energy CT reconstruction (recon). Ten cancer patients (four head-and-neck (HN), three rectum, two anal/pelvis and one abdomen) were DECT scanned without and with iodine administered. A cylindrical and an anthropomorphic HN phantom were scanned with DECT and 120 kV SECT. The DECT images generated were: 120 kV SECT-equivalent (CTmix), virtual monoenergetic images (VMIs), iodine map, virtual non-contrast (VNC), effective atomic number (Zeff), and relative electron density (ρe,w). The clinical utility of these recons was investigated for calibration, delineation, dose calculation and image-guided RT (IGRT).RESULTS: A calibration curve for 75 keV VMI had a root-mean-square-error (RMSE) of 34 HU in closest agreement with the RSME of SECT calibration. This correlated with a phantom-based dosimetric agreement to SECT of γ1%1mm > 98%. A 40 keV VMI recon was most promising to improve tumor delineation accuracy with an average evaluation score of 1.6 corresponding to "partial improvement". The dosimetric impact of iodine was in general < 2%. For this setup, VNC vs. non-contrast CTmix based dose calculations are considered equivalent. SECT- and DECT-based IGRT was in agreement within the setup uncertainty.CONCLUSIONS: DECT-based RT could be a feasible alternative to SECT providing additional recons to support the different steps of the RT workflow.
KW - Calibration
KW - Delineation accuracy
KW - Dose calculation
KW - Dual-energy computed tomography
KW - Image guidance
UR - http://www.scopus.com/inward/record.url?scp=85174066841&partnerID=8YFLogxK
U2 - 10.1016/j.phro.2023.100495
DO - 10.1016/j.phro.2023.100495
M3 - Journal article
C2 - 37876826
SN - 2405-6316
VL - 28
SP - 100495
JO - Physics and imaging in radiation oncology
JF - Physics and imaging in radiation oncology
M1 - 100495
ER -