Evidence map›Paper›PMID 31321614›Full record

ArticleJournal of neuro-oncology2019

Longitudinal, leakage corrected and uncorrected rCBV during the first-line treatment of glioblastoma: a prospective study.

Eike Steidl, Mathias Müller, Andreas Müller, Ulrich Herrlinger, Elke Hattingen

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In one paragraph

Article in Journal of neuro-oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. CMROLa Radiologia medica · 2025
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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

5 authors.

Eike SteidlInstitute of Neuroradiology, University Hospital Frankfurt, Schleusenweg 2-16, 60528, Frankfurt, Germany. eike.steidl@kgu.de.ORCID http://orcid.org/0000-0001-7464-0236
Mathias MüllerDepartment of Radiology, Neuroradiology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.
Andreas MüllerDepartment of Radiology, Neuroradiology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.
Ulrich HerrlingerDivision of Clinical Neurooncology, Department of Neurology, University Hospital Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.
Elke HattingenInstitute of Neuroradiology, University Hospital Frankfurt, Schleusenweg 2-16, 60528, Frankfurt, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDynamic susceptibility contrast (DSC) MR-perfusion is becoming a standard of care for the monitoring of glioblastoma. Yet, technical standards are lacking and measurements without leakage correction are still common. Also, data on leakage corrected measurements during stable disease is scarce. In this study we hypothesized that basic leakage correction would significantly enhance data quality during stable disease and improve progress detection. We furthermore investigated whether longitudinal data could increase diagnostic performance.

methodsPatients with histologically proven glioblastoma undergoing first-line therapy were prospectively recruited. We conducted DSC perfusion measurements without prebolus administration in 6-week intervals from the end of radiotherapy until progression. Maximum relative cerebral volume values (rCBV

resultsWe recruited 16 patients and conducted 82 MRI scans with a mean follow up of 7.2 month. During stable disease, corrected rCBV

conclusionCorrected rCBV

Indexed as

Blood VolumeCerebrovascular CirculationContrast MediaAdultAgedAlgorithmsBrain NeoplasmsFemaleFollow-Up StudiesGlioblastomaHumansMagnetic Resonance ImagingMaleMiddle AgedPrognosisProspective StudiesContrast MediaDSC perfusionGlioblastomaLeakage correctionTreatment monitoring

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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.