{
  "abstract": "Chronic liver and kidney diseases frequently coexist, but their assessment typically requires separate clinical workflows involving serum-based estimated glomerular filtration rate (eGFR) testing and liver elastography-based controlled attenuation parameter (CAP). Electrical impedance tomography (EIT) has recently shown promise for providing portable, non-invasive proxies for both reference measurements. However, existing multi-organ EIT assessment still requires different acquisition protocols for each organ. To simplify this procedure, we assessed the feasibility of a single-plane EIT framework for reconstructing organ-specific images and estimating liver and kidney health from one abdominal belt placement. Across diverse abdominal belt locations, opposite-plane deviation was significantly greater for eGFREIT estimates (2.92%; IQR, 0.46-12.53%) than for CAPEIT estimates (0.94%; IQR, 0.66-1.70%) (p < 0.01). For both organs, compared to images acquired at the conventional organ-specific planes, image correlation significantly decreased (both, p < 0.05) and normalized root mean squared error significantly increased (both, p < 0.05) at the furthest imaging plane, with these differences being numerically larger for the kidney. Together, these results supported the kidney plane as the preferred location for multi-organ assessment. Test-retest evaluation after belt removal and reapplication demonstrated that the correlation between two repeated CAPEIT estimates was just as strong at the kidney plane (R2 = 0.98, p < 0.001) as it was at the conventional liver plane (R2 = 0.97, p < 0.001). Finally, in an independent clinical cohort, kidney-plane CAPEIT estimates were significantly higher in participants with a high metabolic liver-risk profile (i.e. diabetes and high blood pressure) (p < 0.005). CAPEIT estimates also distinguished high and low metabolic risk groups with an AUC of 0.756. Together, these findings support the feasibility of a portable multi-organ EIT imaging framework capable of extracting complementary liver and kidney information from a single belt placement.",
  "abstract_shown": true,
  "affiliations": [
    "E-SENSE Innovation & Technology, Hong Kong, China"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 9,
  "authors": [
    {
      "name": "A. Wu"
    },
    {
      "name": "J.-C. Lai"
    },
    {
      "name": "M. K. Ho"
    },
    {
      "name": "J. Q. J. Ge"
    },
    {
      "name": "N.-j. Gong"
    },
    {
      "name": "I. Y. Zhou"
    },
    {
      "name": "M. Wong"
    },
    {
      "name": "B. J. Edelman"
    },
    {
      "affs": [
        0
      ],
      "name": "R. W. Chan"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/28krb2v8h7sxc.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.10.26.762009",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.10.26.762009v1.full",
  "id": "28krb2v8h7sxc",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.10.26.762009v1",
  "language": null,
  "licence": "CC-BY-NC",
  "licence_label": "CC BY-NC",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "bioengineering"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.10.26.762009v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-26",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/28krb2v8h7sxc.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T00:21:12Z",
      "native_id": "10.64898/2026.10.26.762009",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.10.26.762009v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:bioengineering",
      "subfield": "systems-synthetic"
    }
  ],
  "title": "A single-plane electrical impedance tomography framework for integrated liver and kidney assessment",
  "title_text": "A single-plane electrical impedance tomography framework for integrated liver and kidney assessment",
  "type": "preprint",
  "updated_at": "2026-11-01T00:21:12Z",
  "url": "https://research.draconitic.com/paper/28krb2v8h7sxc",
  "venue": "bioRxiv",
  "versions": []
}