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RANO criteria for response assessment of brain metastases based on amino acid PET imaging

  • Nathalie L. Albert
  • , Norbert Galldiks
  • , Benjamin M. Ellingson
  • , Martin J. van den Bent
  • , Susan M. Chang
  • , Francesco Cicone
  • , Eng Siew Koh
  • , Ian Law
  • , Emilie Le Rhun
  • , Maximilian J. Mair
  • , Jan Michael Werner
  • , Anna S. Berghoff
  • , Julia Furtner
  • , Giuseppe Minniti
  • , Andrew M. Scott
  • , Susan C. Short
  • , Jana Ivanidze
  • , Derek R. Johnson
  • , Bogdana Suchorska
  • , Nelleke Tolboom
  • Joerg Christian Tonn, Antoine Verger, Eva Galanis, Priscilla K. Brastianos, Patrick Y. Wen, Michael Weller, Nancy U. Lin, Matthias Preusser*
*Corresponding author for this work
  • Klinikum der Universität München
  • University Hospital Cologne
  • Jülich Research Centre
  • Center for Integrated Oncology (CIO)
  • David Geffen School of Medicine
  • University of California at San Francisco
  • Magna Græcia University
  • Liverpool Cancer Therapy Centre
  • University of New South Wales
  • Rigshospitalet
  • University Hospital Zürich
  • Medical University of Vienna
  • Danube Private University (DPU)
  • University of Rome La Sapienza
  • IRCCS Istituto Neurologico Mediterraneo Neuromed - Pozzilli (IS)
  • University of Melbourne
  • Olivia Newton-John Cancer Research Institute
  • University of Leeds, School of Medicine
  • Cornell University
  • Mayo Clinic Rochester, MN
  • University Hospital Heidelberg
  • University Medical Centre Utrecht
  • Université de Lorraine
  • Massachusetts General Hospital
  • Dana-Farber Cancer Institute
  • University of Zurich

Research output: Contribution to journalArticleAcademicpeer-review

21 Citations (Scopus)
16 Downloads (Pure)

Abstract

Novel diagnostic and therapeutic opportunities are needed to improve medical care and outcome of patients with brain metastases, a frequent and severe complication of several cancer types. Currently, magnetic resonance imaging (MRI) is the primary method used for detection, treatment planning and disease monitoring in patients with brain metastases, but this method has limitations. These limitations mean that MRI can inform on lesion size but cannot directly measure the activity or viability of tumor tissue. Positron emission tomography (PET) imaging, however, can visualize metabolically active tumor cells and is therefore increasingly incorporated into cancer care to assess tumor burden and response to treatment. Here, we define the PET Response Assessment in Neuro-Oncology (RANO) for brain metastasis (BM) 1.0 criteria for metabolic response assessment of brain metastases using amino acid PET. By introducing an innovative endpoint for next-generation clinical trials, the PET RANO BM 1.0 criteria aim to facilitate development of novel therapies for patients with brain metastases.

Original languageEnglish
Article number103699
Pages (from-to)1424-1430
Number of pages7
JournalNature Medicine
Volume31
Issue number5
DOIs
Publication statusPublished - 8 May 2025

Bibliographical note

Publisher Copyright:
© Springer Nature America, Inc. 2025.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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