The accuracy of target delineation in radiation treatment (RT) planning of cerebral gliomas is crucial to achieve high tumor control, while minimizing treatment-related toxicity. Conventional magnetic resonance imaging (MRI), including contrast-enhanced T1-weighted and fluid-attenuated inversion recovery (FLAIR) sequences, represents the current standard imaging modality for target volume delineation of gliomas. However, conventional sequences have limited capability to dis-criminate treatment-related changes from viable tumors, owing to the low specificity of increased blood-brain barrier permeability and peritumoral edema. Advanced physiology-based MRI tech-niques, such as MR spectroscopy, diffusion MRI and perfusion MRI, have been developed for the biological characterization of gliomas and may circumvent these limitations, providing addi-tional metabolic, structural, and hemodynamic information for treatment planning and monitoring. Radionuclide imaging techniques, such as positron emission tomography (PET) with amino acid radiopharmaceuticals, are also increasingly used in the workup of primary brain tumors, and their integration in RT planning is being evaluated in specialized centers. This review focuses on the basic principles and clinical results of advanced MRI and PET imaging techniques that have promise as a complement to RT planning of gliomas.

Advanced imaging techniques for radiotherapy planning of gliomas / Castellano, A.; Bailo, M.; Cicone, F.; Carideo, L.; Quartuccio, N.; Mortini, P.; Falini, A.; Cascini, G. L.; Minniti, G.. - In: CANCERS. - ISSN 2072-6694. - 13:5(2021). [10.3390/cancers13051063]

Advanced imaging techniques for radiotherapy planning of gliomas

Minniti G.
Ultimo
2021

Abstract

The accuracy of target delineation in radiation treatment (RT) planning of cerebral gliomas is crucial to achieve high tumor control, while minimizing treatment-related toxicity. Conventional magnetic resonance imaging (MRI), including contrast-enhanced T1-weighted and fluid-attenuated inversion recovery (FLAIR) sequences, represents the current standard imaging modality for target volume delineation of gliomas. However, conventional sequences have limited capability to dis-criminate treatment-related changes from viable tumors, owing to the low specificity of increased blood-brain barrier permeability and peritumoral edema. Advanced physiology-based MRI tech-niques, such as MR spectroscopy, diffusion MRI and perfusion MRI, have been developed for the biological characterization of gliomas and may circumvent these limitations, providing addi-tional metabolic, structural, and hemodynamic information for treatment planning and monitoring. Radionuclide imaging techniques, such as positron emission tomography (PET) with amino acid radiopharmaceuticals, are also increasingly used in the workup of primary brain tumors, and their integration in RT planning is being evaluated in specialized centers. This review focuses on the basic principles and clinical results of advanced MRI and PET imaging techniques that have promise as a complement to RT planning of gliomas.
2021
advanced MRI; amino acid radiopharma-ceuticals; diffusion-weighted imaging; FET; glioma; hypoxia; magnetic resonance spectroscopy; perfusion-weighted imaging; PET; radiation treatment planning
01 Pubblicazione su rivista::01g Articolo di rassegna (Review)
Advanced imaging techniques for radiotherapy planning of gliomas / Castellano, A.; Bailo, M.; Cicone, F.; Carideo, L.; Quartuccio, N.; Mortini, P.; Falini, A.; Cascini, G. L.; Minniti, G.. - In: CANCERS. - ISSN 2072-6694. - 13:5(2021). [10.3390/cancers13051063]
File allegati a questo prodotto
File Dimensione Formato  
Castellano_Advanced imaging_2021.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 3.47 MB
Formato Adobe PDF
3.47 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1676371
Citazioni
  • ???jsp.display-item.citation.pmc??? 18
  • Scopus 38
  • ???jsp.display-item.citation.isi??? 33
social impact