ArticlePrecision radiation oncology2025
Dosimetric assessment of conventional and advanced algorithms in clinical stereotactic radiotherapy.
Article in Precision radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Tightening the gradient: ten years of dosimetric refinement in head and neck reirradiation.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026Article
- Liver involvement in pediatric acute leukemia: subtype differences and complex hepatic injury as a novel marker for AML risk stratification.Frontiers in oncology · 2026Article
- Targeting gut microbiota and metabolites in cancer radiotherapy.Clinical and translational medicine · 2025Review
- Dosimetric assessment of conventional and advanced algorithms in clinical stereotactic radiotherapy.Precision radiation oncology · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
Purpose: To systematically compare the dosimetric performance of conventional (Ray Tracing, AAA) and advanced (Monte Carlo, Acuros XB) dose calculation algorithms across homogeneous and heterogeneous tissues in stereotactic radiotherapy (SRT) and stereotactic body radiotherapy (SBRT). Methods: A retrospective analysis of 125 SRT cases (brain: 50, lung: 20, liver: 20, spine: 35) was conducted using CyberKnife and Varian systems. Plans were originally created using Type B (Anisotropic Analytical Algorithm [AAA] and Ray Tracing) algorithms and were subsequently recalculated using Type C (Acuros XB and Monte Carlo) algorithms, while maintaining identical beam geometry and monitor units. Dosimetric parameters (D Results: In lung cases, Type B algorithms overestimated D Conclusion: Advanced algorithms demonstrated superior dose accuracy, homogeneity, and organs at risk (OAR) sparing in heterogeneous anatomical regions. Despite higher computational requirements, their clinical implementation is justified for SRT/SBRT planning. This study supports a site-specific approach, advocating for advanced algorithm use in anatomically complex scenarios.
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