{
  "abstract": "Background and Aims: Esophageal squamous cell carcinoma (ESCC) detection is crucial for improving survival. While narrow‐band imaging (NBI) improves mucosal visualization, limitations remain. We evaluated the diagnostic performance of the Spectrum‐Aided Vision Enhancer (SAVE), an algorithmic NBI‐like technology reconstructed from white light imaging (WLI).\n\nMethods: We conducted a retrospective, image‐based exploratory feasibility study to descriptively evaluate the diagnostic performance of WLI, NBI, and SAVE. A dataset of 1350 still endoscopic images (450 each for WLI, NBI, and SAVE) across normal mucosa, dysplasia, and ESCC stages from 158 patients was blindly reviewed by three endoscopists with different experience levels (3, 5, and 15 years). Diagnostic metrics included sensitivity, specificity, accuracy, and reading time.\n\nResults: For ESCC, SAVE demonstrated diagnostic performance metrics (sensitivity: 0.81–0.97, specificity: 0.85–0.96) that were numerically similar to WLI and NBI. For dysplasia detection, SAVE had lower observed sensitivity (0.39–0.62) compared to NBI (0.55–0.85) across all observers, representing a clinical limitation for precancerous screening in its current format. Mean per‐image reading times were similar across WLI, NBI, and SAVE.\n\nConclusions: In this retrospective study, SAVE showed diagnostic potential for ESCC, with observed diagnostic performance metrics numerically similar to those of WLI and NBI in this exploratory dataset, but lacked sensitivity for dysplasia. These findings are hypothesis‐generating and warrant further prospective, multicenter validation to refine the algorithm for early cancer detection.",
  "abstract_shown": true,
  "affiliations": [
    "Division of Endoscopy Department of Integrated Diagnostics & Therapeutics National Taiwan University Hospital Taipei Taiwan",
    "Graduate Institute of Clinical Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan",
    "Division of Gastroenterology Department of Internal Medicine Kaohsiung Medical University Hospital Kaohsiung Taiwan",
    "Department of Medicine Faculty of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan",
    "Department of Mechanical Engineering National Chung Cheng University Chia Yi Taiwan",
    "Department of Biomedical Imaging Chennai Institute of Technology Chennai India",
    "Department of Computer Science Engineering School of Engineering and Technology Sanjivani University Kopargaon India",
    "Department of Integrated Bachelor of Technology School of Engineering and Technology Sanjivani University Kopargaon India",
    "Department of Biomedical Engineering International University ‐ Vietnam National University Ho Chi Minh City Vietnam",
    "Division of Gastroenterology and Hepatology Department of Internal Medicine National Taiwan University Hospital National Taiwan University College of Medicine Taipei Taiwan",
    "Department of Medical Research Dalin Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation Chia Yi Taiwan"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 10,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Jer‐Wei Wu"
    },
    {
      "affs": [
        1,
        2,
        3
      ],
      "name": "Yao‐Kuang Wang"
    },
    {
      "affs": [
        4,
        5,
        6
      ],
      "name": "Arvind Mukundan"
    },
    {
      "affs": [
        4,
        7
      ],
      "name": "Riya Karmakar"
    },
    {
      "affs": [
        8
      ],
      "name": "Nguyen Ngoc Quynh Nhu"
    },
    {
      "affs": [
        4
      ],
      "name": "Yaswanth Nagisetti"
    },
    {
      "affs": [
        9
      ],
      "name": "Wei‐Chih Liao"
    },
    {
      "affs": [
        0,
        9
      ],
      "name": "Ming‐Lun Han"
    },
    {
      "affs": [
        2,
        3
      ],
      "name": "I‐Chen Wu"
    },
    {
      "affs": [
        4,
        10
      ],
      "name": "Hsiang‐Chen Wang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/24dpgn2eb6hbx.bib",
  "cited_by": 0,
  "doi": "10.1002/deo2.70467",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13733652/",
  "id": "24dpgn2eb6hbx",
  "issns": [
    "2692-4609"
  ],
  "landing_url": "https://doi.org/10.1002/deo2.70467",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Original Article"
    ],
    [
      "openalex",
      "2746|Esophageal Cancer Research and Treatment"
    ]
  ],
  "openalex": "W7225259103",
  "pdf_url": "https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/deo2.70467",
  "pmcid": "PMC13733652",
  "pmid": "42985276",
  "published": "2026-11-04",
  "publisher": "Wiley",
  "ris": "https://research.draconitic.com/paper/24dpgn2eb6hbx.ris",
  "sources": [
    {
      "first_seen": "2026-11-08T12:23:22Z",
      "native_id": "PMC13733652",
      "source": "pmc",
      "url": "https://doi.org/10.1002/deo2.70467"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2746|Esophageal Cancer Research and Treatment",
      "subfield": "surgery"
    }
  ],
  "title": "Enhanced Esophageal Cancer Detection Using Spectrum‐Aided Vision Enhancer: A Comparative Study of White Light Imaging, Narrow‐Band Imaging, and Algorithmic Narrow‐Band Imaging‐Like Imaging",
  "title_text": "Enhanced Esophageal Cancer Detection Using Spectrum‐Aided Vision Enhancer: A Comparative Study of White Light Imaging, Narrow‐Band Imaging, and Algorithmic Narrow‐Band Imaging‐Like Imaging",
  "type": "peer-reviewed",
  "updated_at": "2026-11-08T12:23:22Z",
  "url": "https://research.draconitic.com/paper/24dpgn2eb6hbx",
  "venue": "DEN Open",
  "versions": []
}