RANO criteria for response assessment of brain metastases based on amino acid PET imaging
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.
Authors
- N Galldiks
- N Lin
- Julia Furtner (ORCID: https://orcid.org/0000-0001-8258-3681)
- Francesco Cicone (ORCID: https://orcid.org/0000-0003-4664-1965)
- P. Viau
- Maximilian J. Mair (ORCID: https://orcid.org/0000-0002-6537-3874)
- Nelleke Tolboom (ORCID: https://orcid.org/0000-0002-8005-2833)
- Prof Susan Short
- Bogdana Suchorska
- Eng-Siew Koh
- Ian Law
- Giuseppe Minniti
- Michael Weller
- Martin J van den Bent
- Emilie Le Rhun
- Jan-Michael Werner
- Patrick Y Wen
- Jana Ivanidze
- Andrew M Scott
- Derek R Johnson
- Joerg-Christian Tonn
- Anna S Berghoff
- Benjamin M Ellingson
- Nathalie L Albert
- Priscilla K Brastianos
- Matthias Preusser
- Susan M Chang
- Evanthia Galanis
Publication Details
- Journal
- Universität Zürich, ZORA
- Published
- 2025-05-08
- DOI
- https://doi.org/10.5167/uzh-283435
- Primary Topic
- Brain Metastases and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00