MR Perfusion Imaging for Gliomas

Jina Lee; Melissa M. Chen; Ho Ling Liu; F. Eymen Ucisik; Max Wintermark; Vinodh A. Kumar

doi:10.1016/j.mric.2023.07.003

MR Perfusion Imaging for Gliomas

Jina Lee, Melissa M. Chen, Ho Ling Liu, F. Eymen Ucisik, Max Wintermark, Vinodh A. Kumar^*

^*Corresponding author for this work

University of Texas MD Anderson Cancer Center

Research output: Contribution to journal › Review article › peer-review

11 Scopus citations

Abstract

Accurate diagnosis and treatment evaluation of patients with gliomas is imperative to make clinical decisions. Multiparametric MR perfusion imaging reveals physiologic features of gliomas that can help classify them according to their histologic and molecular features as well as distinguish them from other neoplastic and nonneoplastic entities. It is also helpful in distinguishing tumor recurrence or progression from radiation necrosis, pseudoprogression, and pseudoresponse, which is difficult with conventional MR imaging. This review provides an update on MR perfusion imaging for the diagnosis and treatment monitoring of patients with gliomas following standard-of-care chemoradiation therapy and other treatment regimens such as immunotherapy.

Original language	English
Pages (from-to)	73-83
Number of pages	11
Journal	Magnetic Resonance Imaging Clinics of North America
Volume	32
Issue number	1
DOIs	https://doi.org/10.1016/j.mric.2023.07.003
State	Published - 02 2024
Externally published	Yes

Bibliographical note

Keywords

Arterial spin labeling
Brain tumor
Dynamic contrast-enhanced
Dynamic susceptibility contrast
Glioma
Perfusion
Glioma/diagnostic imaging
Brain Neoplasms/diagnostic imaging
Contrast Media
Humans
Magnetic Resonance Imaging/methods
Perfusion Imaging

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.mric.2023.07.003

Cite this

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title = "MR Perfusion Imaging for Gliomas",

abstract = "Accurate diagnosis and treatment evaluation of patients with gliomas is imperative to make clinical decisions. Multiparametric MR perfusion imaging reveals physiologic features of gliomas that can help classify them according to their histologic and molecular features as well as distinguish them from other neoplastic and nonneoplastic entities. It is also helpful in distinguishing tumor recurrence or progression from radiation necrosis, pseudoprogression, and pseudoresponse, which is difficult with conventional MR imaging. This review provides an update on MR perfusion imaging for the diagnosis and treatment monitoring of patients with gliomas following standard-of-care chemoradiation therapy and other treatment regimens such as immunotherapy.",

keywords = "Arterial spin labeling, Brain tumor, Dynamic contrast-enhanced, Dynamic susceptibility contrast, Glioma, Perfusion, Glioma/diagnostic imaging, Brain Neoplasms/diagnostic imaging, Contrast Media, Humans, Magnetic Resonance Imaging/methods, Perfusion Imaging",

author = "Jina Lee and Chen, \{Melissa M.\} and Liu, \{Ho Ling\} and Ucisik, \{F. Eymen\} and Max Wintermark and Kumar, \{Vinodh A.\}",

year = "2024",

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doi = "10.1016/j.mric.2023.07.003",

language = "英语",

volume = "32",

pages = "73--83",

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publisher = "W.B. Saunders",

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T1 - MR Perfusion Imaging for Gliomas

AU - Lee, Jina

AU - Chen, Melissa M.

AU - Liu, Ho Ling

AU - Ucisik, F. Eymen

AU - Wintermark, Max

AU - Kumar, Vinodh A.

PY - 2024/2

Y1 - 2024/2

N2 - Accurate diagnosis and treatment evaluation of patients with gliomas is imperative to make clinical decisions. Multiparametric MR perfusion imaging reveals physiologic features of gliomas that can help classify them according to their histologic and molecular features as well as distinguish them from other neoplastic and nonneoplastic entities. It is also helpful in distinguishing tumor recurrence or progression from radiation necrosis, pseudoprogression, and pseudoresponse, which is difficult with conventional MR imaging. This review provides an update on MR perfusion imaging for the diagnosis and treatment monitoring of patients with gliomas following standard-of-care chemoradiation therapy and other treatment regimens such as immunotherapy.

AB - Accurate diagnosis and treatment evaluation of patients with gliomas is imperative to make clinical decisions. Multiparametric MR perfusion imaging reveals physiologic features of gliomas that can help classify them according to their histologic and molecular features as well as distinguish them from other neoplastic and nonneoplastic entities. It is also helpful in distinguishing tumor recurrence or progression from radiation necrosis, pseudoprogression, and pseudoresponse, which is difficult with conventional MR imaging. This review provides an update on MR perfusion imaging for the diagnosis and treatment monitoring of patients with gliomas following standard-of-care chemoradiation therapy and other treatment regimens such as immunotherapy.

KW - Arterial spin labeling

KW - Brain tumor

KW - Dynamic contrast-enhanced

KW - Dynamic susceptibility contrast

KW - Glioma

KW - Perfusion

KW - Glioma/diagnostic imaging

KW - Brain Neoplasms/diagnostic imaging

KW - Contrast Media

KW - Humans

KW - Magnetic Resonance Imaging/methods

KW - Perfusion Imaging

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U2 - 10.1016/j.mric.2023.07.003

DO - 10.1016/j.mric.2023.07.003

M3 - 文献综述

C2 - 38007284

AN - SCOPUS:85168361110

SN - 1064-9689

VL - 32

SP - 73

EP - 83

JO - Magnetic Resonance Imaging Clinics of North America

JF - Magnetic Resonance Imaging Clinics of North America

IS - 1

ER -

MR Perfusion Imaging for Gliomas

Abstract

Bibliographical note

Keywords

UN SDGs

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