Evidence map›Paper›PMID 26364181›Full record

ArticleNeuroradiology2015

Early biomarkers from dynamic contrast-enhanced magnetic resonance imaging to predict the response to antiangiogenic therapy in high-grade gliomas.

Francesca Piludu, Simona Marzi, Andrea Pace, Veronica Villani, Alessandra Fabi, Carmine Maria Carapella, Irene Terrenato, Anna Antenucci, Antonello Vidiri

Abstract readControlled Clinical Trial
PubMed Publisher
In one paragraph

Article in Neuroradiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
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  9. Review
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  11. Repeatability of dynamic contrast enhanced vJournal of neuro-oncology · 2018
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  14. Observational
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  16. New Directions in Anti-Angiogenic Therapy for Glioblastoma.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2017
    Review
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  18. Bloch-SiegertTomography (Ann Arbor, Mich.) · 2016
    Article
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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

9 authors.

Francesca PiluduRadiology and Diagnostic Imaging Department, Regina Elena National Cancer Institute, Rome, Italy.
Simona MarziMedical Physics Laboratory, Regina Elena National Cancer Institute, Via Elio Chianesi 53, Rome, 00144, Italy. marzi@ifo.it.
Andrea PaceNeurology Division, Regina Elena National Cancer Institute, Rome, Italy.
Veronica VillaniNeurology Division, Regina Elena National Cancer Institute, Rome, Italy.
Alessandra FabiOncology Department, Regina Elena National Cancer Institute, Rome, Italy.
Carmine Maria CarapellaOncologic Surgery Department, Regina Elena National Cancer Institute, Rome, Italy.
Irene TerrenatoBiostatistics-Scientific Direction, Regina Elena National Cancer Institute, Rome, Italy.
Anna AntenucciClinical Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Antonello VidiriRadiology and Diagnostic Imaging Department, Regina Elena National Cancer Institute, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of this study is to investigate whether early changes in tumor volume and perfusion measurements derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) may predict response to antiangiogenic therapy in recurrent high-grade gliomas.

methodsTwenty-seven patients who received bevacizumab every 3 weeks were enrolled in the study. For each patient, three MRI scans were performed: at baseline, after the first dose, and after the fourth dose of bevacizumab. The entire tumor volume (V(tot)), as well as contrast-enhanced and noncontrast-enhanced tumor subvolumes (V(CE-T1) and V(NON-CE-T1), respectively) were outlined using post-contrast T1-weighted images as a guide for the tumor location. Histogram analysis of normalized IAUGC (nIAUGC) and transfer constant K(trans) maps were performed. Each patient was classified as a responder patient if he/she had a partial response or a stable disease or as a nonresponder patient if he/she had progressive disease.

resultsResponding patients showed a larger reduction in V(NON-CE-T1) after a single dose, compared to nonresponding patients. Tumor subvolumes with increased values of nIAUGC and K(trans), after a single dose, significantly differed between responders and nonresponders. The radiological response was found to be significantly associated to the clinical outcome. After a single dose, V(tot) was predictive of overall survival (OS), while V(CE-T1) showed a tendency of correlation with OS.

conclusionTumor subvolumes with increased nIAUGC and K(trans) showed the potential for improving the diagnostic accuracy of DCE. Early assessments of the entire tumor volume, including necrotic areas, may provide complementary information of tumor behavior in response to anti-VEGF therapies and is worth further investigation.

Indexed as

AdultAgedAngiogenesis InhibitorsBevacizumabBiomarkersBrain NeoplasmsContrast MediaDrug MonitoringFemaleGlioblastomaHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingAngiogenesis InhibitorsBevacizumabBiomarkersContrast MediaBevacizumabDCE MRIHigh-grade gliomaPerfusion MRIQuantitative image analysis

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Registered trials

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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.