Evidence map›Paper›PMID 27398030›Full record

ReviewBiomarkers in cancer2016

Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images.

Armin Eilaghi, Timothy Yeung, Christopher d'Esterre, Glenn Bauman, Slav Yartsev, Jay Easaw, Enrico Fainardi, Ting-Yim Lee, Richard Frayne

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biomarkers in cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 28% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Armin EilaghiDepartment of Radiology, University of Calgary, Calgary, AB, Canada.; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.; Seaman Family MR Centre, Foothills Medical Centre, Calgary, AB, Canada.
Timothy YeungLawson Health Research Institute and Robarts Research Institute, London, ON, Canada.
Christopher d'EsterreDepartment of Radiology, University of Calgary, Calgary, AB, Canada.; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.; Seaman Family MR Centre, Foothills Medical Centre, Calgary, AB, Canada.
Glenn BaumanLawson Health Research Institute and Robarts Research Institute, London, ON, Canada.
Slav YartsevLawson Health Research Institute and Robarts Research Institute, London, ON, Canada.
Jay EasawDepartment of Oncology, University of Calgary, Calgary, AB, Canada.
Enrico FainardiNeuroradiology Unit, Department of Neurosciences and Rehabilitation, Azienda Ospedaliero-Universitaria, Arcispedale S. Anna, Ferrara, Italy.; Neuroradiology Unit, Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Firenze, Italy.
Ting-Yim LeeLawson Health Research Institute and Robarts Research Institute, London, ON, Canada.
Richard FrayneDepartment of Radiology, University of Calgary, Calgary, AB, Canada.; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.; Seaman Family MR Centre, Foothills Medical Centre, Calgary, AB, Canada.
Lawson Health Research Institute · CAUniversity of Calgary · CAAzienda Ospedaliero-Universitaria Careggi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynamic contrast-enhanced perfusion and permeability imaging, using computed tomography and magnetic resonance systems, are important techniques for assessing the vascular supply and hemodynamics of healthy brain parenchyma and tumors. These techniques can measure blood flow, blood volume, and blood-brain barrier permeability surface area product and, thus, may provide information complementary to clinical and pathological assessments. These have been used as biomarkers to enhance the treatment planning process, to optimize treatment decision-making, and to enable monitoring of the treatment noninvasively. In this review, the principles of magnetic resonance and computed tomography dynamic contrast-enhanced perfusion and permeability imaging are described (with an emphasis on their commonalities), and the potential values of these techniques for differentiating high-grade gliomas from other brain lesions, distinguishing true progression from posttreatment effects, and predicting survival after radiotherapy, chemotherapy, and antiangiogenic treatments are presented.

Indexed as

brain cancerperfusion imagingpermeability imagingquantitative MR and CT techniques

Identifiers

PMID27398030
PMCPMC4933536
OpenAlexW2467296285

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.