ArticleRadiological physics and technology2026
Hybrid geometric and evolutionary optimization framework for radiosurgery planning: isocenter selection and angle optimization for multiple brain metastases.
Article in Radiological physics and technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to develop and evaluate the performance of Collimator Angles Optimization Software version 2 (CAOS-v2) for stereotactic radiosurgery (SRS) planning in patients with multiple brain metastases. Treatment planning was performed in Eclipse v13.6 with RapidArc on the TrueBeam STx. The primary objective is to reduce the volume of normal brain tissue receiving 12 Gy (V12Gy) while maintaining overall plan quality. CAOS-v2 determines the isocenter location using the Smoothed Weiszfeld Algorithm to compute the geometric median of the target centers, in contrast to traditional centroid-based placement. The software subsequently employs a genetic algorithm to optimize couch-collimator angle pairs, reducing the impact of the island blocking problem. Twenty-six clinical cases were retrospectively replanned using CAOS-v2 with a single-fraction prescription dose of 18 Gy applied to all treatment plans. Plans were evaluated using Conformity Index (CI), Gradient Index (GI), Gradient Measure (GM), organs at risk (OARs), and the V12Gy of healthy brain tissue. Application of CAOS-v2 resulted in a reduction of V12Gy by 17.6-38.1% compared to the conventional planning approach. The CI remained stable, indicating consistent dose uniformity across treatment plans. No increase in dose to OARs was observed. Additionally, both the GI and GM significantly decreased, indicating improved dose fall-off characteristics attributable to CAOS-v2. Integration of CAOS-v2 into the planning workflow significantly reduces normal brain dose in multi-metastatic SRS without compromising conformity or gradient performance, supporting its clinical applicability for automated treatment parameter optimization.
Indexed as
Identifiers
42776427What OpenQuestion holds
Registered trials
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.