{
  "abstract": "Background: Cardiovascular magnetic resonance (CMR) imaging access is bottlenecked by prolonged scan times and limited specialist availability.\n\nProject Rationale: We aimed to optimize clinical workflows by implementing a dual-intervention strategy including a scanner library of optimized, pathology-driven CMR scan protocols and real-time, hybrid (remote and in-person) scan supervision by an advanced imaging cardiologist. We evaluated the impact of this strategy on CMR image quality and patient management over 12 months.\n\nProject Summary: Retrospective review of 499 charts (160 preintervention, 339 postintervention) revealed reduced CMR scan times by 38.6%, with median times dropping from 84.7 preintervention to 53 minutes postintervention (P < 0.001), improved diagnostic quality (24.5% preintervention vs 58.3% postintervention, P = 0.008) and increased management-impacting studies (11.3% preintervention vs 53.4% postintervention, P = 0.0001).\n\nTake-Home Message: Standardizing CMR scan protocols and leveraging real-time cardiac imager oversight with remote scanning technology maximizes existing human resource capacity, improves diagnostic image quality, and has a positive impact on patient management.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Cardiovascular Medicine and Radiology, The University of Texas Medical Branch (UTMB), Galveston, Texas, USA",
    "Department of Cardiovascular Medicine, The University of Texas Medical Branch (UTMB), Galveston, Texas, USA",
    "John Sealy School of Medicine, University of Texas Medical Branch, Galveston, Texas, USA",
    "Department of Internal Medicine, The University of Texas Medical Branch (UTMB), Galveston, Texas, USA"
  ],
  "article_type": "case report",
  "arxiv": null,
  "author_total": 9,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Esosa Odigie-Okon"
    },
    {
      "affs": [
        1
      ],
      "name": "Olushola Ogunleye"
    },
    {
      "affs": [
        1
      ],
      "name": "Ritika Saxena"
    },
    {
      "affs": [
        2
      ],
      "name": "Dallin Swanson"
    },
    {
      "affs": [
        2
      ],
      "name": "Sindhuja Earagolla"
    },
    {
      "affs": [
        2
      ],
      "name": "Neha Sunkara"
    },
    {
      "affs": [
        3
      ],
      "name": "Sahil Bhargava"
    },
    {
      "affs": [
        3
      ],
      "name": "Yumna Furqan"
    },
    {
      "affs": [
        3
      ],
      "name": "Avery Love"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0cdvv0cwga6x2.bib",
  "cited_by": 0,
  "doi": "10.1016/j.jaccas.2026.109455",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13728393/",
  "id": "0cdvv0cwga6x2",
  "issns": [
    "2666-0849"
  ],
  "landing_url": "https://doi.org/10.1016/j.jaccas.2026.109455",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Outcomes and Quality"
    ],
    [
      "heading",
      "Quality Improvement Projects"
    ],
    [
      "openalex",
      "2741|Cardiac Imaging and Diagnostics"
    ]
  ],
  "openalex": "W7213425942",
  "pdf_url": null,
  "pmcid": "PMC13728393",
  "pmid": "42752028",
  "published": "2026-09-16",
  "publisher": "Elsevier",
  "ris": "https://research.draconitic.com/paper/0cdvv0cwga6x2.ris",
  "sources": [
    {
      "first_seen": "2026-11-07T12:21:23Z",
      "native_id": "PMC13728393",
      "source": "pmc",
      "url": "https://doi.org/10.1016/j.jaccas.2026.109455"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2741|Cardiac Imaging and Diagnostics",
      "subfield": "imaging"
    }
  ],
  "title": "Improving Cardiac Magnetic Resonance Scanning Efficiency",
  "title_text": "Improving Cardiac Magnetic Resonance Scanning Efficiency",
  "type": "peer-reviewed",
  "updated_at": "2026-11-07T12:21:23Z",
  "url": "https://research.draconitic.com/paper/0cdvv0cwga6x2",
  "venue": "JACC Case Reports",
  "versions": []
}