Boron neutron capture therapy (BNCT) is a promising cancer treatment modality that combines targeted boron agents and neutron irradiation to selectively destroy tumor cells. In mainland China, the clinical implementation of BNCT has made certain progress, primarily driven by the development of compact neutron source devices. The availability, ease of operation, and cost-effectiveness offered by these compact neutron sources make BNCT more accessible to cancer treatment centers. Two compact neutron sources, one being miniature reactor-based (IHNI-1) and the other one being accelerator-based (NeuPex), have entered the clinical research phase and are planned for medical device registration. Moreover, several accelerator-based neutron source devices employing different technical routes are currently under construction, further expanding the options for BNCT implementation. In addition, the development of compact neutron sources serves as an experimental platform for advancing the development of new boron agents. Several research teams are actively involved in the development of boron agents. Various types of third-generation boron agents have been tested and studied in vitro and in vivo. Compared to other radiotherapy therapies, BNCT in mainland China still faces specific challenges due to its limited clinical trial data and its technical support in a wide range of professional fields. To facilitate the widespread adoption of BNCT, it is crucial to establish relevant technical standards for neutron devices, boron agents, and treatment protocols.

Precise modeling of boron distribution is essential for boron neutron capture therapy (BNCT) dose calculation. While full-three-dimensional (f3D) voxel mod

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.