The geometric accuracy of off‐axis targets in stereotactic body radiotherapy treatments across three linear accelerators

This study demonstrates that routine analysis of MultiMet WL testing is an essential tool for the spatial accuracy of the LINAC to establish machine-specific PTV margin expansion in SIMT-SBRT, particularly for targets where rotational errors dominate.

Authors

Institutions

Publication Details

Journal
Journal of Applied Clinical Medical Physics
Published
2026-02-01
DOI
https://doi.org/10.1002/acm2.70383
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The geometric accuracy of off‐axis targets in stereotactic body radiotherapy treatments across three linear accelerators

Gopinath Mudhana, Dinesan Chinnaiya
Journal of Applied Clinical Medical Physics
Advanced Radiotherapy Techniques
article

The geometric accuracy of off‐axis targets in stereotactic body radiotherapy treatments across three linear accelerators

Gopinath Mudhana, Dinesan Chinnaiya
article en

Abstract

This study demonstrates that routine analysis of MultiMet WL testing is an essential tool for the spatial accuracy of the LINAC to establish machine-specific PTV margin expansion in SIMT-SBRT, particularly for targets where rotational errors dominate.

Journal of Applied Clinical Medical PhysicsVol. 27(2)
Cancer Hospital and Research Institute (IN), Vellore Institute of Technology University (IN)
Openalex Percentile: Top 53%
Advanced Radiotherapy Techniques
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.