Evidence map›Paper›PMID 29657639›Full record

ReviewPolish journal of radiology2017

Magnetic Resonance (MR) Imaging of Vascular Malformations.

Usman Bashir, Samd Shah, Sunil Jeph, Michael O'Keeffe, Faisal Khosa

Abstract readReview
In one paragraph

Review in Polish journal of radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  3. Hepatic Vascular Shunts Mimicking Malignant Lesions onMolecular imaging and radionuclide therapy · 2026
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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.

Usman BashirDivision of Imaging Research and Biomedical, Engineering, St. Thomas' Hospital, London, ON, Canada.
Samd ShahDepartment of Diagnostic Radiology, Geisinger Medical Center, Danville, PA, U.S.A.
Sunil JephDepartment of Diagnostic Radiology, Geisinger Medical Center, Danville, PA, U.S.A.
Michael O'KeeffeDivision of Emergency and Trauma Radiology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Faisal KhosaDepartment of Diagnostic Radiology, Vancouver General Hospital, University of British Columbia, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vascular malformations pose a diagnostic and therapeutic challenge due to the broad differential diagnosis as well as common utilization of inadequate or inaccurate classification systems among healthcare providers. Therapeutic approaches to these lesions vary based on the type, size, and extent of the vascular anomaly, necessitating accurate diagnosis and classification. Magnetic resonance (MR) imaging (MRI) is an effective modality for classifying vascular anomalies due to its ability to delineate the extent and anatomic relationship of the malformation to adjacent structures. In addition to anatomical mapping, the complete evaluation of vascular anomalies includes hemodynamic characterization. Dynamic time-resolved contrast-enhanced MR angiography provides information regarding hemodynamics of vascular anomalies, differentiating high- and low-flow vascular malformations. Radiologists must identify the MRI features of vascular malformations for better diagnosis and classification.

Indexed as

Congenital AbnormalitiesMagnetic Resonance AngiographyMagnetic Resonance ImagingVascular Malformations

Identifiers

PMID29657639
PMCPMC5894044

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.