Evidence map›Paper›PMID 35386567›Full record

ReviewNeuro-oncology advances

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

Rongwei Fu, Laszlo Szidonya, Ramon F Barajas, Prakash Ambady, Csanad Varallyay, Edward A Neuwelt

Abstract readReview
In one paragraph

Review in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Clinical Utility of [AJNR. American journal of neuroradiology · 2026
    Article
  5. Metabolic Imaging and Molecular Signatures Reveal Metabolic Phenotypes in Recurrent Glioblastoma.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. RANO 2.0: Update to the Response Assessment in Neuro-Oncology Criteria for High- and Low-Grade Gliomas in Adults.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Article
  12. Review
  13. HybridJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rongwei FuOregon Health & Science University-Portland State University, School of Public Health, Portland, Oregon, USA.
Laszlo SzidonyaDepartment of Radiology, Oregon Health & Science University, Portland, Oregon, USA.
Ramon F BarajasDepartment of Radiology, Oregon Health & Science University, Portland, Oregon, USA.
Prakash AmbadyNeuro-Oncology Program, Oregon Health & Science University, Portland, Oregon, USA.
Csanad VarallyayDepartment of Radiology, EPIC Imaging, Portland, Oregon, USA.
Edward A NeuweltNeuro-Oncology Program, Oregon Health & Science University, Portland, Oregon, USA.

Funding

Opening of the Blood-Brain Barrier to Antitumor AgentsR01CA199111 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI NEUWELT, EDWARD A. · 2016 to 2020
$3.1M
Defining the Hypoxic Immunosuppressive Microenvironment as a Biomarker of Therapy Efficacy in Glioblastoma Using Iron Oxide Enhanced FMISO PET/MRIK08CA237809 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI BARAJAS, RAMON FRANCISCO · 2020 to 2024
$1.2M
NCI NIH HHS K08 CA237809NCI NIH HHS L30 CA220897NCI NIH HHS R01 CA199111
6 · The paper itself

Abstract

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.

Indexed as

diagnostic performancedynamic susceptibility contrast (DSC) MRIhigh-grade gliomameta-analysistreatment-related changes

Identifiers

PMID35386567
PMCPMC8982196

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.