Evidence map›Paper›PMID 41586321›Full record

ArticlePhysics and imaging in radiation oncology2026

Improvement in positional accuracy with integrated surface- and X-ray imaging for intracranial stereotactic radiosurgery patients.

Caisa Kjellström, Tobias Pommer, Peter Siesjö, Sofie Ceberg, Per Munck Af Rosenschöld

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Caisa KjellströmMedical Radiation Physics, Lund University, Lund, Sweden.
Tobias PommerMedical Radiation Physics, Lund University, Lund, Sweden.
Peter SiesjöDepartment of Neurosurgery and Section of Neurosurgery, Department of Clinical Sciences, Lund University and Skåne University Hospital, Sweden.
Sofie CebergMedical Radiation Physics, Lund University, Lund, Sweden.
Per Munck Af RosenschöldMedical Radiation Physics, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Stereotactic radiosurgery (SRS) requires high positional accuracy to safely deliver large doses. This study evaluated an integrated surface- and image-guided radiotherapy (SGRT-IGRT) system by analysing (1) the agreement between thermo-optical and stereoscopic X-ray positioning, and (2) the impact of intra-fractional workflows on treatment accuracy and time. Materials and methods: Data from 126 SRS patients treated with 30 Gy/3 fractions (n = 116) or 12 Gy/1 fraction (n = 10) on a Varian Truebeam STx were retrospectively analysed. Patients were positioned and monitored with Brainlab ExacTrac Dynamic, with 0.5 mm/0.5° tolerances for IGRT and 1 mm/1° for SGRT. Three workflows were investigated: (A) Results: Median beam-on times were 5.5 min for workflow A, 5.0 min for workflow B, and 3.2 min for workflow C. The median differences between thermo-optical and stereoscopic X-ray patient positioning were ≤0.1 mm. The 3D positioning uncertainty remained within 0.5 mm (2.5th-97.5th percentile) using SGRT-IGRT. Omitting inter-arc imaging increased positional deviation ranges from 0.1-0.5 mm to 0.1-0.7 mm. Conclusion: Thermo-optical and stereoscopic X-ray imaging showed good agreement within the set institutional tolerances. Inter-arc imaging increased treatment time by 2 min compared with SGRT alone but improved positioning accuracy. Intra-arc imaging added an additional small accuracy benefit at minor time cost.

Indexed as

Brain metastasisCranial radiosurgeryIGRTInfra-fractional motionIntrafraction motionMotion managementMultiple brain metastasesRadiotherapySGRTSRSSRT

Identifiers

PMID41586321
PMCPMC12828801

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.