DWI is an imaging technique commonly used for the assessment of acute ischemia, inflammatory disorders, and CNS neoplasia. It has several benefits since it is a quick, easily replicable sequence that is widely used on many standard scanners. In addition to its normal clinical purpose, DWI offers crucial functional and physiological information regarding brain neoplasia and the surrounding milieu. A narrative review of the literature was conducted based on the PubMed database with the purpose of investigating the potential role of DWI in the neuro-oncology field. A total of 179 articles were included in the study.
Diffusion weighted imaging in neuro-oncology: diagnosis, post-treatment changes, and advanced sequences - an updated review / Romano, Andrea; Palizzi, Serena; Romano, Allegra; Moltoni, Giulia; Di Napoli, Alberto; Maccioni, Francesca; Bozzao, Alessandro. - In: CANCERS. - ISSN 2072-6694. - 15:3(2023). [10.3390/cancers15030618]
Diffusion weighted imaging in neuro-oncology: diagnosis, post-treatment changes, and advanced sequences - an updated review
Andrea RomanoPrimo
;Serena PalizziSecondo
;Allegra Romano;Giulia Moltoni
;Alberto Di Napoli;Francesca MaccioniPenultimo
;Alessandro BozzaoUltimo
2023
Abstract
DWI is an imaging technique commonly used for the assessment of acute ischemia, inflammatory disorders, and CNS neoplasia. It has several benefits since it is a quick, easily replicable sequence that is widely used on many standard scanners. In addition to its normal clinical purpose, DWI offers crucial functional and physiological information regarding brain neoplasia and the surrounding milieu. A narrative review of the literature was conducted based on the PubMed database with the purpose of investigating the potential role of DWI in the neuro-oncology field. A total of 179 articles were included in the study.| File | Dimensione | Formato | |
|---|---|---|---|
|
Romano_Diffusion weighted imaging_2023.pdf
accesso aperto
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Creative commons
Dimensione
4.06 MB
Formato
Adobe PDF
|
4.06 MB | Adobe PDF |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
