ArticleJournal of applied clinical medical physics2026
Simulated online adaptive radiotherapy on C-arm linacs: Integrating high resolution cone-beam CT into abdominal stereotactic body radiation therapy.
Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Quantitative stability of CT numbers in novel cone-beam CT: An intra-institution cross-scanner and longitudinal analysis.Journal of applied clinical medical physics · 2026Article
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Authors and funding
13 authors.
Funding
Abstract
backgroundConventional cone-beam computed tomography (CBCT) systems, while providing adequate visualization for positioning, have historically been limited by image truncation, scatter contamination, image noise, geometric artifacts, and unreliable CT number accuracy, which preclude their routine use for accurate dose calculation and re-planning. Recent advances in CBCT detector technology and image reconstruction algorithms have led to the development of next-generation CBCT platforms with improved image quality and CT number stability. PURPOSE: This study aimed to develop and evaluate an efficient daily adaptation workflow on a standard C-arm linear accelerator by integrating HyperSight CBCT and plan adaptation in RayStation.
methodsImage quality metrics and CT number accuracy were evaluated and compared with those of an institutional CT simulator and conventional CBCT. Dose calculation accuracy was validated through measurement. The HyperSight CBCT adaptive workflow used both deformable image registration and rigid image registration for contour propagation, followed by manual revision when necessary. The adapted plan was iteratively optimized in RayStation by using the fine-tune module. End-to-end test was done with a spine phantom and a pelvis phantom. Retrospective evaluation of four abdominal SBRT cases (12 fractions) compared estimated delivered and adapted plans with respect to target coverage, organs at risk (OARs) sparing, and monitor unit (MU) usage.
resultsImproved image quality and CT number accuracy compared to conventional CBCT were observed. The adaptation process required 13 ± 3 min per fraction from HyperSight-CBCT acquisition to final plan evaluation, excluding time for contour revisions. Across all cases, adapted plans demonstrated improved dosimetric quality relative to delivered plans. Gross tumor volume V
conclusionsIntegrating HyperSight CBCT with RayStation's streamlined plan adaptation capability provided dosimetric advantages. It improved target coverage and OAR sparing without increasing treatment complexity and represents a practical alternative to Ethos or MR-Linac systems without the need for specialized delivery platforms.
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Registered trials
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