Imaging Advances for Central Nervous System Tumors.


Journal

Hematology/oncology clinics of North America
ISSN: 1558-1977
Titre abrégé: Hematol Oncol Clin North Am
Pays: United States
ID NLM: 8709473

Informations de publication

Date de publication:
02 2022
Historique:
pubmed: 27 9 2021
medline: 19 3 2022
entrez: 26 9 2021
Statut: ppublish

Résumé

This article reviews recent advances in the use of standard and advanced imaging techniques for diagnosis and treatment of central nervous system (CNS) tumors, including glioma and brain metastasis. Following the recent transition from a histology-based approach in classifying CNS tumors to one that integrates histology with the molecular information of tumor, the approaches for imaging CNS tumors have also been adapted to this new framework. Some challenges related to the diagnosis and treatment of CNS tumors, such as differentiating tumor from treatment-related imaging changes, require further progress to implement advanced imaging for clinical use.

Identifiants

pubmed: 34563433
pii: S0889-8588(21)00105-2
doi: 10.1016/j.hoc.2021.08.002
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

43-61

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosure The authors have nothing to disclose.

Auteurs

Raymond Y Huang (RY)

Department of Neuroradiology, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: ryhuang@bwh.harvard.edu.

Whitney B Pope (WB)

Radiology, Section of Neuroradiology, Brain Tumor Imaging, UCLA Medical Center, Los Angeles, CA, USA; Department of Radiological Sciences, David Geffen School of Medicine, University of California-Los Angeles, 924 Westwood Boulevard, Suite 615, Los Angeles, CA 90024, USA; Department of Neurology, David Geffen School of Medicine, University of California-Los Angeles, 924 Westwood Boulevard, Suite 615, Los Angeles, CA 90024, USA.

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Classifications MeSH