Evidence map›Paper›PMID 26681438›Full record

ArticlePediatric radiology2016

Early experience with X-ray magnetic resonance fusion for low-flow vascular malformations in the pediatric interventional radiology suite.

Tiffany J Hwang, Erin Girard, Sphoorti Shellikeri, Randolph Setser, Arastoo Vossough, Victor Ho-Fung, Anne Marie Cahill

Abstract readCase Reports
PubMed Publisher
In one paragraph

Article in Pediatric radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Tiffany J HwangDepartment of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA. tiffanyhwang@gmail.com.
Erin GirardCorporate Technology, Siemens Corporation, Princeton, NJ, USA.
Sphoorti ShellikeriDepartment of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Randolph SetserSiemens Medical Solutions USA, Inc., Hoffman Estates, IL, USA.
Arastoo VossoughDepartment of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Victor Ho-FungDepartment of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Anne Marie CahillDepartment of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Children's Hospital of Philadelphia · USSiemens (United States) · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This technical innovation describes our experience using an X-ray magnetic resonance fusion (XMRF) software program to overlay 3-D MR images on real-time fluoroscopic images during sclerotherapy procedures for vascular malformations at a large pediatric institution. Five cases have been selected to illustrate the application and various clinical utilities of XMRF during sclerotherapy procedures as well as the technical limitations of this technique. The cases demonstrate how to use XMRF in the interventional suite to derive additional information to improve therapeutic confidence with regards to the extent of lesion filling and to guide clinical management in terms of intraprocedural interventional measures.

Indexed as

AdolescentChildChild, PreschoolFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedInfantInfant, NewbornMagnetic Resonance AngiographyMaleModels, BiologicalModels, StatisticalMultimodal ImagingPattern Recognition, AutomatedPilot ProjectsChildrenImage fusionInterventional radiologySclerotherapyVascular imagingVascular malformations

Identifiers

PMID26681438
OpenAlexW2302116900

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.