Perfusion-Mri for Differentiating Cerebral Metastatic Lesions and Gliomas: an Evidence-Based Review

No Thumbnail Available

Date

2025

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Sci Ltd

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Journal Issue

Abstract

Background: Lesions affecting the brain are variable and have multiple pathologies. Brain metastasis is a common entity of lesions that can be misleading in diagnosis. Brain metastasis affects the patient's life and survival in about 40% of cases; all patients with metastatic brain lesions are indicated for surgery, so proper diagnosis is crucial for each patient. Non-invasive diagnosis is a promising way to confirm the diagnosis of cerebral metastatic lesions for patients who are not indicated for surgery for medical reasons. To our knowledge, this is the first evidence-based review article regarding utilizing perfusion-MRI for approaching cerebral metastatic lesions. Methods: A comprehensive database search on PubMed/Medline, Scopus and Google Scholar was done by the relevant keywords. Eligibility of articles was done by following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Cochrane risk of bias assessment tool was used to determine the risk of bias among the included studies. Results: From 2989 articles, only 31 studies were eligible for the qualitative synthesis. A comprehensive summary of the included study was made according to population, intervention, comparator and outcomes (PICO) method. Conclusions: Diagnosing cerebral metastases, categorizing subtypes, and monitoring their response to treatment is a challenging endeavor for neurosurgeons, neuroradiologists, and oncologists. Technological advances in MRI software as perfusion-based MRIs are designated to facilitate diagnosis and follow-up for patients with cerebral metastases.

Description

Keywords

Perfusion-Mri, Dce-Mri, Dcs-Mri, Asl

Turkish CoHE Thesis Center URL

Fields of Science

Citation

0

WoS Q

Q4

Scopus Q

Q3

Source

Volume

133

Issue

Start Page

End Page

PlumX Metrics
Citations

Scopus : 1

PubMed : 1

Captures

Mendeley Readers : 5

SCOPUS™ Citations

1

checked on Dec 14, 2025

Web of Science™ Citations

1

checked on Dec 14, 2025

Page Views

7

checked on Dec 14, 2025

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
5.66947901

Sustainable Development Goals

SDG data is not available