{
  "abstract": "Positron emission tomography/magnetic resonance imaging (PET/MRI) has represented a paradigm shift in medical imaging, and although its use has not yet been fully incorporated into all clinical guidelines, scientific evidence supports its ability to provide a highly accurate simultaneous metabolic and anatomical assessment, which is particularly useful for staging, treatment planning, and evaluating treatment response in cancer patients. The limited availability of the technique and the demands it places on resources and coordination suggest that its initial use should focus on those applications that can provide the greatest benefit to patients, especially within the indications related to oncological processes, where PET and MRI have a defined and complementary role. This review focuses specifically on some of these conditions.",
  "abstract_shown": true,
  "affiliations": [
    "Nuclear Medicine Department, University Hospital of Toledo, 45007 Toledo, Spain",
    "Artificial Intelligence and Molecular Imaging Group, Instituto de Investigación Sanitaria de Castilla La Mancha (IDISCAM), 45071 Toledo, Spain",
    "Nuclear Medicine Department, Grupo Universitario HM Hospitales, 28050 Madrid, Spain",
    "Positron Emission Tomography Center Cetir Ascires, Viladomat, 08021 Barcelona, Spain",
    "Nuclear Medicine Department, Institute of Diagnostic Imaging (IDI), Hospital Universitario de Bellvitge, L’Hospitalet de Llobregat, 08907 Barcelona, Spain",
    "Department of Radiodiagnostics, Institute of Diagnostic Imaging (IDI), Germans Trias i Pujol University Hospital, 08916 Badalona, Spain",
    "Nuclear Medicine Department, University Hospital of Guadalajara, 45007 Toledo, Spain"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 9,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Ana María García-Vicente"
    },
    {
      "affs": [
        2
      ],
      "name": "Lina García-Cañamaque"
    },
    {
      "affs": [
        3
      ],
      "name": "José Ramón García-Garzón"
    },
    {
      "affs": [
        4
      ],
      "name": "Montserrat Cortés-Romera"
    },
    {
      "affs": [
        5
      ],
      "name": "David Durany-Lara",
      "orcid": "0000-0003-2367-8570"
    },
    {
      "affs": [
        0
      ],
      "name": "Miguel Sebastián Casallas-Cepeda",
      "orcid": "0009-0000-0249-2262"
    },
    {
      "affs": [
        0
      ],
      "name": "Stefanía Aida Guzmán-Ortiz"
    },
    {
      "affs": [
        0
      ],
      "name": "Jaime Andrés Bonilla-Plaza",
      "orcid": "0000-0001-9856-571X"
    },
    {
      "affs": [
        1,
        6
      ],
      "name": "Edel Noriega-Álvarez",
      "orcid": "0000-0002-2725-8920"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/64x8tt7nrfjyh.bib",
  "cited_by": 0,
  "doi": "10.3390/cancers18213546",
  "fulltext_url": null,
  "id": "64x8tt7nrfjyh",
  "issns": [
    "2072-6694"
  ],
  "landing_url": "https://www.mdpi.com/2072-6694/18/21/3546",
  "language": null,
  "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": [],
  "openalex": null,
  "pdf_url": null,
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-04",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/64x8tt7nrfjyh.ris",
  "sources": [
    {
      "first_seen": "2026-11-05T00:21:09Z",
      "native_id": "10.3390/cancers18213546",
      "source": "crossref",
      "url": "https://www.mdpi.com/2072-6694/18/21/3546"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "issn:2072-6694",
      "subfield": "oncology"
    }
  ],
  "title": "PET/MRI in Oncology: Real-World Recommendations",
  "title_text": "PET/MRI in Oncology: Real-World Recommendations",
  "type": "peer-reviewed",
  "updated_at": "2026-11-06T00:21:25Z",
  "url": "https://research.draconitic.com/paper/64x8tt7nrfjyh",
  "venue": "Cancers",
  "versions": []
}