Journal Article FZJ-2021-00883

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Feature-based PET/MRI radiomics in patients with brain tumors

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2020
Oxford University Press868239 Oxford

Neuro-oncology advances 2(Supplement_4), iv15 - iv21 () [10.1093/noajnl/vdaa118]

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Abstract: Radiomics allows the extraction of quantitative features from medical images such as CT, MRI, or PET, thereby providing additional, potentially relevant diagnostic information for clinical decision-making. Because the computation of these features is performed highly automated on medical images acquired during routine follow-up, radiomics offers this information at low cost. Further, the radiomics features can be used alone or combined with other clinical or histomolecular parameters to generate predictive or prognostic mathematical models. These models can then be applied for various important diagnostic indications in neuro-oncology, for example, to noninvasively predict relevant biomarkers in glioma patients, to differentiate between treatment-related changes and local brain tumor relapse, or to predict treatment response. In recent years, amino acid PET has become an important diagnostic tool in patients with brain tumors. Therefore, the number of studies in patients with brain tumors investigating the potential of PET radiomics or combined PET/MRI radiomics is steadily increasing. This review summarizes current research regarding feature-based PET as well as combined PET/MRI radiomics in neuro-oncology.

Classification:

Contributing Institute(s):
  1. Physik der Medizinischen Bildgebung (INM-4)
  2. Kognitive Neurowissenschaften (INM-3)
  3. Jara-Institut Quantum Information (INM-11)
  4. Jülich-Aachen Research Alliance - Translational Brain Medicine (JARA-BRAIN)
Research Program(s):
  1. 573 - Neuroimaging (POF3-573) (POF3-573)
  2. DFG project 428090865 - Radiomics basierend auf MRT und Aminosäure PET in der Neuroonkologie (428090865)

Appears in the scientific report 2021
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Medline ; Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; DOAJ Seal ; Fees ; PubMed Central
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 Record created 2021-01-28, last modified 2023-05-22


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