ArticleScientific reports2026
Development and evaluation of surface-guided patient position system for boron neutron capture therapy.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Boron Neutron Capture Therapy for High-Grade CNS Tumors: Mechanisms, Carriers, and Clinical Progress: A Narrative Review.International journal of molecular sciences · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Boron Neutron Capture Therapy (BNCT) is an advanced form of radiotherapy that uses the neutron capture reaction of boron-10 to selectively destroy cancer cells. Accurate and reproducible patient positioning is critical to treatment efficacy, yet conventional workflows rely on manual adjustments and laser alignment, introducing operator dependence and potential geometric uncertainty. This study presents an integrated Surface-Guided BNCT patient positioning system (SG-BNCT) that combines a binocular stereo-vision (BSV) module, the BNCT-specific treatment planning system NeuMANTA, and a six-axis industrial robot. The BSV system uses fiducial markers with You Only Look Once (YOLO)-based detection and stereo triangulation to reconstruct 3D geometry, while TPS-derived transformation matrices drive six-degree-of-freedom robotic adjustments. Validation with anthropomorphic phantoms demonstrated millimeter accuracy. By eliminating laser dependence and providing closed-loop corrections, SG-BNCT enhances positioning precision, reduces operator variability, and streamlines setup, supporting more reliable and efficient BNCT treatment delivery.
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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 Socratic graph.