Evidence map›Paper›PMID 41367751›Full record

ArticleQuantitative imaging in medicine and surgery2025

Dynamic susceptibility contrast perfusion in differentiation between recurrence and pseudoprogression in glioblastoma: a systematic review and meta-analysis.

Xue-Wen Wo, Hong-Fang Zhu, Na Xu

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Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xue-Wen WoDepartment of Neurology, Binzhou People's Hospital, Binzhou, China.
Hong-Fang ZhuDepartment of Gastroenterology, Binzhou People's Hospital, Binzhou, China.
Na XuEndoscopy Center, Binzhou People's Hospital, Binzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dynamic susceptibility contrast (DSC) perfusion has emerged as a valuable imaging technique for distinguishing pseudoprogression (PP) from recurrent tumor (RT) in patients with gliomas. However, its diagnostic accuracy, specifically in glioblastoma, remains less clearly defined. This systematic review aimed to evaluate and clarify the diagnostic performance of DSC perfusion in differentiating PP from RT in glioblastoma patients. Methods: A comprehensive search of the PubMed, Cochrane Library, and Wanfang databases was conducted for relevant articles published up to October 2024. Eligible studies were screened, and data about patient diagnoses were systematically extracted and synthesized. Results: A total of 13 studies comprising 487 patients met the inclusion criteria, with 318 categorized as RT and 178 as PP. In three studies, both relative cerebral blood volume (rCBV) and relative cerebral blood flow (rCBF) were assessed, whereas the remaining studies relied solely on rCBV. Pooled analyses of rCBV demonstrated a sensitivity of 87% [95% confidence interval (CI): 0.82-0.91], specificity of 83% (95% CI: 0.75-0.89), positive likelihood ratio of 5.14 (95% CI: 3.35-7.89), and negative likelihood ratio of 0.16 (95% CI: 0.11-0.23). None of these measures showed significant heterogeneity (I2=18.92%, 11.76%, 0%, and 0.35%, respectively). The pooled area under the curve (AUC) was 0.92 (95% CI: 0.89-0.94), indicating excellent diagnostic accuracy, with only minimal evidence of publication bias (P=0.051). Due to the limited number of studies (n=3) reporting rCBF-related outcomes, a pooled diagnostic analysis for rCBF could not be performed. Conclusions: These findings demonstrate that DSC perfusion provides a reliable and effective method for distinguishing PP from RT in the diagnostic evaluation of glioblastoma patients.

Indexed as

glioblastomamagnetic resonance imaging (MRI)perfusionpseudoprogression (PP)Recurrence

Identifiers

PMID41367751
PMCPMC12682496

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