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Conventional and advanced imaging throughout the cycle of care of gliomas

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Abstract

Although imaging of gliomas has evolved tremendously over the last decades, published techniques and protocols are not always implemented into clinical practice. Furthermore, most of the published literature focuses on specific timepoints in glioma management. This article reviews the current literature on conventional and advanced imaging techniques and chronologically outlines their practical relevance for the clinical management of gliomas throughout the cycle of care. Relevant articles were located through the Pubmed/Medline database and included in this review. Interpretation of conventional and advanced imaging techniques is crucial along the entire process of glioma care, from diagnosis to follow-up. In addition to the described currently existing techniques, we expect deep learning or machine learning approaches to assist each step of glioma management through tumor segmentation, radiogenomics, prognostication, and characterization of pseudoprogression. Thorough knowledge of the specific performance, possibilities, and limitations of each imaging modality is key for their adequate use in glioma management.

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  • 02 February 2021

    The capturing of the author name "Eric Suero Molina" was corrected so that his first name will be captured as "Eric" and his last name will be captured as "Suero Molina".

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Acknowledgments

The authors are very grateful to the patients of the CHU of Liège, where the illustrative figures were extracted. We wish to thank Dr. Emilie Lommers and Pr Pierre Maquet for their kind review.

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Authors and Affiliations

  1. Department of Neurosurgery, University Hospital of Liège, Liège, Belgium

    Gilles Reuter, Didier Martin, Arnaud Lombard & Félix Scholtes

  2. GIGA-CRC In-vivo Imaging Center, ULiege, Liège, Belgium

    Gilles Reuter

  3. Department of Radiology, University Hospital of Liège, Liège, Belgium

    Martin Moïse

  4. Department of Nuclear Medicine, University Hospital of Münster, Münster, Germany

    Wolfgang Roll

  5. Department of Neuroanatomy, University of Liège, Liège, Belgium

    Félix Scholtes

  6. Department of Neurosurgery, University Hospital of Münster, Münster, Germany

    Walter Stummer & Eric Suero Molina

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Gilles Reuter had the idea for the article, performed the first literature search, and drafted the work. Eric Suero Molina, Wolfgang Roll, and Martin Moïse critically revised and augmented this review with illustrations. Arnaud Lombard, Felix Scholtes, Didier Martin, and Walter Stummer complemented and nuanced the contents. All authors read and approved the final manuscript.

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Correspondence to Gilles Reuter.

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The authors declare that they have no conflict of interest.

Ethical approval

Ethical approval was obtained from the local ethics committee of the University of Liège (B707201316912). All the images we displayed were performed in routine care.

Informed consent

We only display MRI and PET-CT brain scans where no identifying information can be found.

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No active participation from patients was required for this review.

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As every image is fully anonymized and untraceable, the identification risk is virtually absent. The local ethics committee did not require consent for publication.

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Reuter, G., Moïse, M., Roll, W. et al. Conventional and advanced imaging throughout the cycle of care of gliomas. Neurosurg Rev 44, 2493–2509 (2021). https://doi.org/10.1007/s10143-020-01448-3

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  • DOI: https://doi.org/10.1007/s10143-020-01448-3

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