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Arterial spin labeling MR imaging for differentiation between high- and low-grade glioma - A meta-analysis

Falk Delgado, Alberto ; De Luca, Francesca ; Van Westen, Danielle LU orcid and Falk Delgado, Anna (2018) In Neuro-Oncology 20(11). p.1450-1461
Abstract

Background. Arterial spin labeling is an MR imaging technique that measures cerebral blood flow (CBF) noninvasively. The aim of the study is to assess the diagnostic performance of arterial spin labeling (ASL) MR imaging for differentiation between high-grade glioma and low-grade glioma. Methods. Cochrane Library, Embase, Medline, and Web of Science Core Collection were searched. Study selection ended November 2017. This study was prospectively registered in PROSPERO (CRD42017080885). Two authors screened all titles and abstracts for possible inclusion. Data were extracted independently by 2 authors. Bivariate random effects meta-analysis was used to describe summary receiver operating characteristics. Trial sequential analysis (TSA)... (More)

Background. Arterial spin labeling is an MR imaging technique that measures cerebral blood flow (CBF) noninvasively. The aim of the study is to assess the diagnostic performance of arterial spin labeling (ASL) MR imaging for differentiation between high-grade glioma and low-grade glioma. Methods. Cochrane Library, Embase, Medline, and Web of Science Core Collection were searched. Study selection ended November 2017. This study was prospectively registered in PROSPERO (CRD42017080885). Two authors screened all titles and abstracts for possible inclusion. Data were extracted independently by 2 authors. Bivariate random effects meta-analysis was used to describe summary receiver operating characteristics. Trial sequential analysis (TSA) was performed. Results. In total, 15 studies with 505 patients were included. The diagnostic performance of ASL CBF for glioma grading was 0.90 with summary sensitivity 0.89 (0.79-0.90) and specificity 0.80 (0.72-0.89). The diagnostic performance was similar between pulsed ASL (AUC 0.90) with a sensitivity 0.85 (0.71-0.91) and specificity 0.83 (0.69- 0.92) and pseudocontinuous ASL (AUC 0.88) with a sensitivity 0.86 (0.79-0.91) and specificity 0.80 (0.65-0.87). In astrocytomas, the diagnostic performance was 0.89 with sensitivity 0.86 (0.79 to 0.91) and specificity 0.79 (0.63 to 0.89). Sensitivity analysis confirmed the robustness of the findings. TSA revealed that the meta-analysis was adequately powered. Conclusion. Arterial spin labeling MR imaging had an excellent diagnostic accuracy for differentiation between high-grade and low-grade glioma. Given its low cost, non-invasiveness, and efficacy, ASL MR imaging should be considered for implementation in the routine workup of patients with glioma.

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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
abeling, arteria, brain tumors, CNS, glioma, imaging, spin
in
Neuro-Oncology
volume
20
issue
11
pages
12 pages
publisher
Oxford University Press
external identifiers
  • pmid:29868920
  • scopus:85054772792
ISSN
1522-8517
DOI
10.1093/neuonc/noy095
language
English
LU publication?
yes
id
583ec904-a0e2-4241-9a61-e157e09498ed
date added to LUP
2018-10-30 13:17:45
date last changed
2024-06-26 01:37:10
@article{583ec904-a0e2-4241-9a61-e157e09498ed,
  abstract     = {{<p>Background. Arterial spin labeling is an MR imaging technique that measures cerebral blood flow (CBF) noninvasively. The aim of the study is to assess the diagnostic performance of arterial spin labeling (ASL) MR imaging for differentiation between high-grade glioma and low-grade glioma. Methods. Cochrane Library, Embase, Medline, and Web of Science Core Collection were searched. Study selection ended November 2017. This study was prospectively registered in PROSPERO (CRD42017080885). Two authors screened all titles and abstracts for possible inclusion. Data were extracted independently by 2 authors. Bivariate random effects meta-analysis was used to describe summary receiver operating characteristics. Trial sequential analysis (TSA) was performed. Results. In total, 15 studies with 505 patients were included. The diagnostic performance of ASL CBF for glioma grading was 0.90 with summary sensitivity 0.89 (0.79-0.90) and specificity 0.80 (0.72-0.89). The diagnostic performance was similar between pulsed ASL (AUC 0.90) with a sensitivity 0.85 (0.71-0.91) and specificity 0.83 (0.69- 0.92) and pseudocontinuous ASL (AUC 0.88) with a sensitivity 0.86 (0.79-0.91) and specificity 0.80 (0.65-0.87). In astrocytomas, the diagnostic performance was 0.89 with sensitivity 0.86 (0.79 to 0.91) and specificity 0.79 (0.63 to 0.89). Sensitivity analysis confirmed the robustness of the findings. TSA revealed that the meta-analysis was adequately powered. Conclusion. Arterial spin labeling MR imaging had an excellent diagnostic accuracy for differentiation between high-grade and low-grade glioma. Given its low cost, non-invasiveness, and efficacy, ASL MR imaging should be considered for implementation in the routine workup of patients with glioma.</p>}},
  author       = {{Falk Delgado, Alberto and De Luca, Francesca and Van Westen, Danielle and Falk Delgado, Anna}},
  issn         = {{1522-8517}},
  keywords     = {{abeling; arteria; brain tumors; CNS; glioma; imaging; spin}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{1450--1461}},
  publisher    = {{Oxford University Press}},
  series       = {{Neuro-Oncology}},
  title        = {{Arterial spin labeling MR imaging for differentiation between high- and low-grade glioma - A meta-analysis}},
  url          = {{http://dx.doi.org/10.1093/neuonc/noy095}},
  doi          = {{10.1093/neuonc/noy095}},
  volume       = {{20}},
  year         = {{2018}},
}