{
  "abstract": "Boron neutron capture therapy (BNCT) produces high-linear-energy-transfer, short-range particles through the $^{10}$B(n,$α$)$^{7}$Li reaction. Conventional descriptors, including absorbed dose, compound biological effectiveness (CBE)-weighted dose, and photon-isoeffective dose ($D_{\\mathrm{isoE}}$), remain clinically useful but compress cellular heterogeneity, compartmental boron localization, and stochastic reaction occurrence into macroscopic summaries. We propose a hierarchical framework that places cell-associated $^{10}$B-capture reaction statistics upstream of microdosimetric effect modeling and links clinical observations to cellular-scale determinants of BNCT response. We synthesize published work on BNCT microdosimetry, CBE and $D_{\\mathrm{isoE}}$, stochastic microdosimetric kinetic modeling, PHITS-based cellular simulations, boron imaging, tissue microstructure, and boron-agent characterization, reorganizing these elements into observational, latent-cellular, reaction-count, and biological-effect layers. Imaging, pathology, agent-specific data, and neutron-field information constrain latent variables such as cellular boron burden, compartmental localization, and geometry; these variables determine expected reaction burdens and distributions of realized reaction counts, which are then translated into cell survival, tumor control, or normal-tissue injury by microdosimetric models. Cell-associated reaction-count statistics thus provide an interpretable inferential bridge between macroscopic measurements and established BNCT effect models, supporting spatially resolved and uncertainty-aware effect prediction without replacing existing approaches based on CBE, $D_{\\mathrm{isoE}}$, SMK, or PHITS.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.03130",
  "author_total": 2,
  "authors": [
    {
      "name": "Shuichi Furuya"
    },
    {
      "name": "Atsushi Fujimura"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2mjhq05fqy0r0.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.03130",
  "fulltext_url": null,
  "id": "2mjhq05fqy0r0",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.03130",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "physics.med-ph"
    ],
    [
      "openalex",
      "2741|Boron Compounds in Chemistry"
    ]
  ],
  "openalex": "W7208714160",
  "pdf_url": "https://arxiv.org/pdf/2609.03130",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-02",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/2mjhq05fqy0r0.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:31Z",
      "native_id": "2609.03130",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.03130"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.med-ph",
      "subfield": "biological-medical"
    }
  ],
  "title": "Beyond Dose in Boron Neutron Capture Therapy: Cellular $^{10}$B-Capture Statistics and Microdosimetric Context in Effect Prediction",
  "title_text": "Beyond Dose in Boron Neutron Capture Therapy: Cellular ^10B-Capture Statistics and Microdosimetric Context in Effect Prediction",
  "type": "preprint",
  "updated_at": "2026-10-30T12:18:31Z",
  "url": "https://research.draconitic.com/paper/2mjhq05fqy0r0",
  "venue": "arXiv",
  "versions": []
}