Evidence map›Paper›PMID 29170798›Full record

ArticleEuropean radiology2018

Anatomical Road Mapping Using CT and MR Enterography for Ultrasound Molecular Imaging of Small Bowel Inflammation in Swine.

Huaijun Wang, Stephen A Felt, Ismayil Guracar, Valentina Taviani, Jianhua Zhou, Rosa Maria Silveira Sigrist, Huiping Zhang, Joy Liau, José G Vilches-Moure, Lu Tian and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2018. 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
–field-weighted citation impact, top 86% 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, 4 citations in OpenAlex.

  1. Review
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

15 authors at 3 institutions in 2 countries.

Huaijun WangDepartment of Radiology, Stanford University, School of Medicine, 300 Pasteur Drive, Room H1307, Stanford, CA, 94305-5621, USA.
Stephen A FeltDepartment of Comparative Medicine, Stanford University, Stanford, CA, USA.
Ismayil GuracarSiemens Healthcare, Ultrasound Business Unit, Mountain View, CA, USA.
Valentina TavianiDepartment of Radiology, Stanford University, School of Medicine, 300 Pasteur Drive, Room H1307, Stanford, CA, 94305-5621, USA.
Jianhua ZhouDepartment of Radiology, Stanford University, School of Medicine, 300 Pasteur Drive, Room H1307, Stanford, CA, 94305-5621, USA.
Rosa Maria Silveira SigristDepartment of Radiology, Stanford University, School of Medicine, 300 Pasteur Drive, Room H1307, Stanford, CA, 94305-5621, USA.
Huiping ZhangDepartment of Radiology, Stanford University, School of Medicine, 300 Pasteur Drive, Room H1307, Stanford, CA, 94305-5621, USA.
Joy LiauDepartment of Radiology, Stanford University, School of Medicine, 300 Pasteur Drive, Room H1307, Stanford, CA, 94305-5621, USA.
José G Vilches-MoureDepartment of Comparative Medicine, Stanford University, Stanford, CA, USA.
Lu TianDepartment of Health, Research & Policy, Stanford University, Stanford, CA, USA.
Yamil SaenzDepartment of Comparative Medicine, Stanford University, Stanford, CA, USA.
Thierry BettingerBracco Suisse SA, Geneva, Switzerland.
Brian A HargreavesDepartment of Radiology, Stanford University, School of Medicine, 300 Pasteur Drive, Room H1307, Stanford, CA, 94305-5621, USA.
Amelie M LutzDepartment of Radiology, Stanford University, School of Medicine, 300 Pasteur Drive, Room H1307, Stanford, CA, 94305-5621, USA.
Jürgen K WillmannDepartment of Radiology, Stanford University, School of Medicine, 300 Pasteur Drive, Room H1307, Stanford, CA, 94305-5621, USA. willmann@stanford.edu.
Stanford University · USBracco (Switzerland) · CHSiemens Healthcare (United States) · US

Funding

National Institutes of Health R01DK092509
6 · The paper itself

Abstract

objectivesTo evaluate the feasibility and time saving of fusing CT and MR enterography with ultrasound for ultrasound molecular imaging (USMI) of inflammation in an acute small bowel inflammation of swine.

methodsNine swine with ileitis were scanned with either CT (n = 3) or MR (n = 6) enterography. Imaging times to load CT/MR images onto a clinical ultrasound machine, fuse them to ultrasound with an anatomical landmark-based approach, and identify ileitis were compared to the imaging times without anatomical road mapping. Inflammation was then assessed by USMI using dual selectin-targeted (MB

resultsCross-sectional image fusion with ultrasound was feasible with an alignment error of 13.9 ± 9.7 mm. Anatomical road mapping significantly reduced (P < 0.001) scanning times by 40%. Localising ileitis was achieved within 1.0 min. Subsequently performed USMI demonstrated significantly (P < 0.001) higher imaging signal using MB

conclusionsFusion of CT and MR enterography data sets with ultrasound in real time is feasible and allows rapid anatomical localisation of ileitis for subsequent quantification of inflammation using USMI. KEY POINTS: • Real-time fusion of CT/MRI with ultrasound to localise ileitis is feasible. • Anatomical road mapping using CT/MRI significantly decreases the scanning time for USMI. • USMI allows quantification of inflammation in swine, verified with ex vivo histology.

Indexed as

AnimalsIleitisInflammationIntestine, SmallMagnetic Resonance ImagingMolecular ImagingSwineTomography, X-Ray ComputedUltrasonographyCT enterographyImage fusionMolecular imagingMR enterographyUltrasound

Identifiers

PMID29170798
OpenAlexW2768194417

What OpenQuestion holds

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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.