PlumX Metrics
Embed PlumX Metrics

PET-based response assessment criteria for diffuse gliomas (PET RANO 1.0): a report of the RANO group

The Lancet Oncology, ISSN: 1470-2045, Vol: 25, Issue: 1, Page: e29-e41
2024
  • 41
    Citations
  • 0
    Usage
  • 32
    Captures
  • 7
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    41
    • Citation Indexes
      39
    • Clinical Citations
      1
      • 1
    • Policy Citations
      1
      • 1
  • Captures
    32
  • Mentions
    7
    • News Mentions
      7
      • 7

Most Recent News

Emerging PET Agent Gets FDA Fast Track Designation for Glioma Imaging

While current guidelines note the use of amino acid positron emission tomography (PET) for brain cancer imaging, no targeted PET agent has garnered approval from

Review Description

Response Assessment in Neuro-Oncology (RANO) response criteria have been established and were updated in 2023 for MRI-based response evaluation of diffuse gliomas in clinical trials. In addition, PET-based imaging with amino acid tracers is increasingly considered for disease monitoring in both clinical practice and clinical trials. So far, a standardised framework defining timepoints for baseline and follow-up investigations and response evaluation criteria for PET imaging of diffuse gliomas has not been established. Therefore, in this Policy Review, we propose a set of criteria for response assessment based on amino acid PET imaging in clinical trials enrolling participants with diffuse gliomas as defined in the 2021 WHO classification of tumours of the central nervous system. These proposed PET RANO criteria provide a conceptual framework that facilitates the structured implementation of PET imaging into clinical research and, ultimately, clinical routine. To this end, the PET RANO 1.0 criteria are intended to encourage specific investigations of amino acid PET imaging of gliomas.

Bibliographic Details

Albert, Nathalie L; Galldiks, Norbert; Ellingson, Benjamin M; van den Bent, Martin J; Chang, Susan M; Cicone, Francesco; de Groot, John; Koh, Eng-Siew; Law, Ian; Le Rhun, Emilie; Mair, Maximilian J; Minniti, Giuseppe; Rudà, Roberta; Scott, Andrew M; Short, Susan C; Smits, Marion; Suchorska, Bogdana; Tolboom, Nelleke; Traub-Weidinger, Tatjana; Tonn, Joerg-Christian; Verger, Antoine; Weller, Michael; Wen, Patrick Y; Preusser, Matthias

Elsevier BV

Medicine

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know