Quantifying intrafractional colon tumor motion on 1.5 T MR-linac cine-MRI and applying anisotropic residual-motion margins for SBRT

PURPOSE: To noninvasively quantify the intrafraction motion of unresectable locally advanced colon cancer (UNLACC) via 1.5 T magnetic resonance imaging and linear accelerator (MR-linac) cine-MRI and assess the preliminary feasibility of translating motion envelopes into individualized, anisotropic residual-motion margins for stereotactic body radiotherapy (SBRT) workflow. METHODS: This prospective, single‑centre, observational cross‑sectional study serves as a preliminary test to validate the workflow of a phase I single-arm clinical study and falls under the preliminary feasibility verification phase (Clinical Trials.gov NCT06244537; Initial Release Time: 01/25/2024). We first performed internal validation of a rolling-ball-based motion extraction (RBME) algorithm using a dynamic phantom on the same 1.5 T MR linac, which demonstrated negligible systematic error with a Bland‒Altman mean bias of 0.01 mm (standard deviation 0.49 mm) and 95% limits of agreement of -0.98~0.95 mm. We then prospectively accrued 24 patients for a simulated MR-linac workflow and applied RBME to cine-MRI to generate patient- and axis-specific motion envelopes. Intrafraction motion was analysed in a repeated-measures framework to test axis-by-site effects. Finally, we conducted a planning simulation prescribing 25 Gy in 5 fractions; no patients yet treated according to the proposed strategy. The simulated planning target volume (PTV) is the gross tumor volume (GTV) plus an RBME-derived anisotropic residual-motion margin and an additional 3 mm setup margin. RESULTS: Phantom testing supported the accuracy of RBME ( ~ ± 1 mm agreement). In patients, the mean excursions peak in the caudal/right/anterior directions and are smallest in the cranial/left/posterior directions, with the average of means centered at approximately 4 ~ 5 mm. Across all lesions, mean root-mean-square (RMS) displacement was 2.64 ± 1.32 mm cranio-caudal, 2.91 ± 1.05 mm anterior-posterior, and 2.75 ± 1.43 mm left-right. The corresponding 95th percentile (P95) excursions were 4.49 ± 2.43 mm, 4.97 ± 1.74 mm, and 4.76 ± 2.62 mm. Axis-by-segment interactions were significant for RMS (χ² 19.93, df 8, P = 0.011) and P95 (χ² 20.44, df 8, P = 0.008), indicating location-dependent anisotropy. CONCLUSION: A phantom-validated RBME algorithm was used to characterise irregular intrafraction motion for UNLACC on a 1.5T MR-linac. The resulting motion envelopes should be regarded as hypothesis-generating and intended to inform further method development and protocol design.

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Publication Details

Journal
Radiation Oncology
Published
2026-04-16
DOI
https://doi.org/10.1186/s13014-026-02818-9
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantifying intrafractional colon tumor motion on 1.5 T MR-linac cine-MRI and applying anisotropic residual-motion margins for SBRT

Yanhua Liu, Li Pan, Guoqing Liu, Min Liu et al.
Radiation Oncology
MRI in cancer diagnosis
article

Quantifying intrafractional colon tumor motion on 1.5 T MR-linac cine-MRI and applying anisotropic residual-motion margins for SBRT

Yanhua Liu, Li Pan, Guoqing Liu, Min Liu, Xianliang Wang, Bo Song, Gang Niu, Na Huang, Bisheng Liu, Shuanghong Wu, Qian Peng
article en

Abstract

PURPOSE: To noninvasively quantify the intrafraction motion of unresectable locally advanced colon cancer (UNLACC) via 1.5 T magnetic resonance imaging and linear accelerator (MR-linac) cine-MRI and assess the preliminary feasibility of translating motion envelopes into individualized, anisotropic residual-motion margins for stereotactic body radiotherapy (SBRT) workflow. METHODS: This prospective, single‑centre, observational cross‑sectional study serves as a preliminary test to validate the workflow of a phase I single-arm clinical study and falls under the preliminary feasibility verification phase (Clinical Trials.gov NCT06244537; Initial Release Time: 01/25/2024). We first performed internal validation of a rolling-ball-based motion extraction (RBME) algorithm using a dynamic phantom on the same 1.5 T MR linac, which demonstrated negligible systematic error with a Bland‒Altman mean bias of 0.01 mm (standard deviation 0.49 mm) and 95% limits of agreement of -0.98~0.95 mm. We then prospectively accrued 24 patients for a simulated MR-linac workflow and applied RBME to cine-MRI to generate patient- and axis-specific motion envelopes. Intrafraction motion was analysed in a repeated-measures framework to test axis-by-site effects. Finally, we conducted a planning simulation prescribing 25 Gy in 5 fractions; no patients yet treated according to the proposed strategy. The simulated planning target volume (PTV) is the gross tumor volume (GTV) plus an RBME-derived anisotropic residual-motion margin and an additional 3 mm setup margin. RESULTS: Phantom testing supported the accuracy of RBME ( ~ ± 1 mm agreement). In patients, the mean excursions peak in the caudal/right/anterior directions and are smallest in the cranial/left/posterior directions, with the average of means centered at approximately 4 ~ 5 mm. Across all lesions, mean root-mean-square (RMS) displacement was 2.64 ± 1.32 mm cranio-caudal, 2.91 ± 1.05 mm anterior-posterior, and 2.75 ± 1.43 mm left-right. The corresponding 95th percentile (P95) excursions were 4.49 ± 2.43 mm, 4.97 ± 1.74 mm, and 4.76 ± 2.62 mm. Axis-by-segment interactions were significant for RMS (χ² 19.93, df 8, P = 0.011) and P95 (χ² 20.44, df 8, P = 0.008), indicating location-dependent anisotropy. CONCLUSION: A phantom-validated RBME algorithm was used to characterise irregular intrafraction motion for UNLACC on a 1.5T MR-linac. The resulting motion envelopes should be regarded as hypothesis-generating and intended to inform further method development and protocol design.

Radiation Oncology
University of Electronic Science and Technology of China (CN), Chengdu University of Technology (CN), Sichuan Cancer Hospital (CN)
Sichuan Province Science and Technology Support Program
Zero hunger
Openalex Percentile: Top 13%
MRI in cancer diagnosis
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