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Diagnostic performance of DSC perfusion MRI to distinguish tumor progression and treatment-related changes: a systematic review and meta-analysis

BACKGROUND: In patients with high-grade glioma (HGG), true disease progression and treatment-related changes often appear similar on magnetic resonance imaging (MRI), making it challenging to evaluate therapeutic response. Dynamic susceptibility contrast (DSC) MRI has been extensively studied to dif...

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Autores principales: Fu, Rongwei, Szidonya, Laszlo, Barajas, Ramon F, Ambady, Prakash, Varallyay, Csanad, Neuwelt, Edward A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982196/
https://www.ncbi.nlm.nih.gov/pubmed/35386567
http://dx.doi.org/10.1093/noajnl/vdac027
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author Fu, Rongwei
Szidonya, Laszlo
Barajas, Ramon F
Ambady, Prakash
Varallyay, Csanad
Neuwelt, Edward A
author_facet Fu, Rongwei
Szidonya, Laszlo
Barajas, Ramon F
Ambady, Prakash
Varallyay, Csanad
Neuwelt, Edward A
author_sort Fu, Rongwei
collection PubMed
description BACKGROUND: In patients with high-grade glioma (HGG), true disease progression and treatment-related changes often appear similar on magnetic resonance imaging (MRI), making it challenging to evaluate therapeutic response. Dynamic susceptibility contrast (DSC) MRI has been extensively studied to differentiate between disease progression and treatment-related changes. This systematic review evaluated and synthesized the evidence for using DSC MRI to distinguish true progression from treatment-related changes. METHODS: We searched Ovid MEDLINE and the Ovid MEDLINE in-process file (January 2005–October 2019) and the reference lists. Studies on test performance of DSC MRI using relative cerebral blood volume in HGG patients were included. One investigator abstracted data, and a second investigator confirmed them; two investigators independently assessed study quality. Meta-analyses were conducted to quantitatively synthesize area under the receiver operating curve (AUROC), sensitivity, and specificity. RESULTS: We screened 1177 citations and included 28 studies with 638 patients with true tumor progression, and 430 patients with treatment-related changes. Nineteen studies reported AUROC and the combined AUROC is 0.85 (95% CI, 0.81–0.90). All studies contributed data for sensitivity and specificity, and the pooled sensitivity and specificity are 0.84 (95% CI, 0.80–0.88), and 0.78 (95% CI, 0.72–0.83). Extensive subgroup analyses based on study, treatment, and imaging characteristics generally showed similar results. CONCLUSIONS: There is moderate strength of evidence that relative cerebral blood volume obtained from DSC imaging demonstrated “excellent” ability to discriminate true tumor progression from treatment-related changes, with robust sensitivity and specificity.
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spelling pubmed-89821962022-04-05 Diagnostic performance of DSC perfusion MRI to distinguish tumor progression and treatment-related changes: a systematic review and meta-analysis Fu, Rongwei Szidonya, Laszlo Barajas, Ramon F Ambady, Prakash Varallyay, Csanad Neuwelt, Edward A Neurooncol Adv Review BACKGROUND: In patients with high-grade glioma (HGG), true disease progression and treatment-related changes often appear similar on magnetic resonance imaging (MRI), making it challenging to evaluate therapeutic response. Dynamic susceptibility contrast (DSC) MRI has been extensively studied to differentiate between disease progression and treatment-related changes. This systematic review evaluated and synthesized the evidence for using DSC MRI to distinguish true progression from treatment-related changes. METHODS: We searched Ovid MEDLINE and the Ovid MEDLINE in-process file (January 2005–October 2019) and the reference lists. Studies on test performance of DSC MRI using relative cerebral blood volume in HGG patients were included. One investigator abstracted data, and a second investigator confirmed them; two investigators independently assessed study quality. Meta-analyses were conducted to quantitatively synthesize area under the receiver operating curve (AUROC), sensitivity, and specificity. RESULTS: We screened 1177 citations and included 28 studies with 638 patients with true tumor progression, and 430 patients with treatment-related changes. Nineteen studies reported AUROC and the combined AUROC is 0.85 (95% CI, 0.81–0.90). All studies contributed data for sensitivity and specificity, and the pooled sensitivity and specificity are 0.84 (95% CI, 0.80–0.88), and 0.78 (95% CI, 0.72–0.83). Extensive subgroup analyses based on study, treatment, and imaging characteristics generally showed similar results. CONCLUSIONS: There is moderate strength of evidence that relative cerebral blood volume obtained from DSC imaging demonstrated “excellent” ability to discriminate true tumor progression from treatment-related changes, with robust sensitivity and specificity. Oxford University Press 2022-03-01 /pmc/articles/PMC8982196/ /pubmed/35386567 http://dx.doi.org/10.1093/noajnl/vdac027 Text en © The Author(s) 2022. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Review
Fu, Rongwei
Szidonya, Laszlo
Barajas, Ramon F
Ambady, Prakash
Varallyay, Csanad
Neuwelt, Edward A
Diagnostic performance of DSC perfusion MRI to distinguish tumor progression and treatment-related changes: a systematic review and meta-analysis
title Diagnostic performance of DSC perfusion MRI to distinguish tumor progression and treatment-related changes: a systematic review and meta-analysis
title_full Diagnostic performance of DSC perfusion MRI to distinguish tumor progression and treatment-related changes: a systematic review and meta-analysis
title_fullStr Diagnostic performance of DSC perfusion MRI to distinguish tumor progression and treatment-related changes: a systematic review and meta-analysis
title_full_unstemmed Diagnostic performance of DSC perfusion MRI to distinguish tumor progression and treatment-related changes: a systematic review and meta-analysis
title_short Diagnostic performance of DSC perfusion MRI to distinguish tumor progression and treatment-related changes: a systematic review and meta-analysis
title_sort diagnostic performance of dsc perfusion mri to distinguish tumor progression and treatment-related changes: a systematic review and meta-analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982196/
https://www.ncbi.nlm.nih.gov/pubmed/35386567
http://dx.doi.org/10.1093/noajnl/vdac027
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