{
  "abstract": "Interactions between light and biological tissue could reveal disease-related changes that could be advantageous for rapid diagnosis when applied to whole limbs. Here, we tested the extent to which visible/near-infra-red hyperspectral imaging (HSI) deployed in the emergency department could classify cellulitis, non-cellulitis edema, and healthy lower-leg tissue across skin pigmentation types. We collected HSI data of the lower leg from 83 emergency-room patients and analyzed the calibrated normalized spectra (400-1000 nm) using a machine-learning classification algorithm, evaluated by cross-validation and benchmarked against standard spectral indices (oxygenation, hemoglobin, water, near-infrared perfusion). Classification at patient-level and pixel-level resolution performed comparably well using whole-spectrum and indices, for cellulitis versus healthy (AUC: 0.93 vs. 0.96) and non-cellulitis edema versus cellulitis (AUC: 0.92 vs. 0.89). Full-spectrum analysis substantially improved non-cellulitis edema versus healthy classification (patient-level AUC: 0.72 vs. 0.41; pixel-level AUC: 0.78 vs. 0.50), with no significant effect of skin type on accuracy.",
  "abstract_shown": true,
  "affiliations": [
    "Laboratory of Sensorimotor Research, National Eye Institute, NIH, Bethesda MD 20892"
  ],
  "article_type": "PUBLISHAHEADOFPRINT",
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "name": "K. Kasi"
    },
    {
      "name": "C. May"
    },
    {
      "name": "H. Gallegos"
    },
    {
      "name": "L. Kobayashi"
    },
    {
      "affs": [
        0
      ],
      "name": "B. R. Conway"
    },
    {
      "name": "J. R. Pare"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/e0qd37j7pt2mq.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.09.15.26363173",
  "fulltext_url": "https://www.medrxiv.org/content/10.64898/2026.09.15.26363173v1.full",
  "id": "e0qd37j7pt2mq",
  "issns": [],
  "landing_url": "https://www.medrxiv.org/content/10.64898/2026.09.15.26363173v1",
  "language": null,
  "licence": "CC0-1.0",
  "licence_label": "CC0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/publicdomain/zero/1.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "medrxiv",
      "radiology and imaging"
    ],
    [
      "openalex",
      "2741|Optical Imaging and Spectroscopy Techniques"
    ]
  ],
  "openalex": "W7213433026",
  "pdf_url": "https://www.medrxiv.org/content/10.64898/2026.09.15.26363173v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-15",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/e0qd37j7pt2mq.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:18:42Z",
      "native_id": "10.64898/2026.09.15.26363173",
      "source": "medrxiv",
      "url": "https://www.medrxiv.org/content/10.64898/2026.09.15.26363173v1"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "medrxiv:radiology and imaging",
      "subfield": "imaging"
    }
  ],
  "title": "Hyperspectral imaging in the emergency department to characterize lower leg edema",
  "title_text": "Hyperspectral imaging in the emergency department to characterize lower leg edema",
  "type": "preprint",
  "updated_at": "2026-10-30T12:18:42Z",
  "url": "https://research.draconitic.com/paper/e0qd37j7pt2mq",
  "venue": "medRxiv",
  "versions": []
}