Advanced MRI Protocols to Discriminate Glioma From Treatment Effects: State of the Art and Future Directions.

Malik, Dania G; Rath, Tanya J; Urcuyo Acevedo, Javier C; Canoll, Peter D; Swanson, Kristin R; Boxerman, Jerrold L; Quarles, C Chad; Schmainda, Kathleen M; Burns, Terry C; Hu, Leland S

Malik, Dania G; Rath, Tanya J; Urcuyo Acevedo, Javier C; Canoll, Peter D; Swanson, Kristin R; Boxerman, Jerrold L; Quarles, C Chad; Schmainda, Kathleen M; Burns, Terry C; Hu, Leland S.

Afiliación

Malik DG; Department of Radiology, Mayo Clinic, Phoenix, AZ, United States.
Rath TJ; Department of Radiology, Mayo Clinic, Phoenix, AZ, United States.
Urcuyo Acevedo JC; Mathematical Neurooncology Lab, Precision Neurotherapeutics Innovation Program, Mayo Clinic, Phoenix, AZ, United States.
Canoll PD; Departments of Pathology and Cell Biology, Columbia University, New York, NY, United States.
Swanson KR; Mathematical Neurooncology Lab, Precision Neurotherapeutics Innovation Program, Mayo Clinic, Phoenix, AZ, United States.
Boxerman JL; Department of Diagnostic Imaging, Brown University, Providence, RI, United States.
Quarles CC; Department of Neuroimaging Research & Barrow Neuroimaging Innovation Center, Barrow Neurologic Institute, Phoenix, AZ, United States.
Schmainda KM; Department of Biophysics & Radiology, Medical College of Wisconsin, Milwaukee, WI, United States.
Burns TC; Departments of Neurologic Surgery and Neuroscience, Mayo Clinic, Rochester, MN, United States.
Hu LS; Department of Radiology, Mayo Clinic, Phoenix, AZ, United States.

Front Radiol ; 2: 809373, 2022.

Article en En | MEDLINE | ID: mdl-37492687

Palabras clave

MRI; advanced; glioblastoma; metabolic; perfusion; post-treatment; response assessment

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: Front Radiol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

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