Evidence map›Paper›PMID 30714829›Full record

ArticleAJR. American journal of roentgenology2019

Feasibility of Image Fusion for Concurrent MRI Evaluation of Vessel Lumen and Vascular Calcifications in Peripheral Arterial Disease.

Ali Serhal, Ioannis Koktzoglou, Robert R Edelman

Open access · greenAbstract read
In one paragraph

Article in AJR. American journal of roentgenology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 1 country.

Ali Serhal1 Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL.
Ioannis Koktzoglou2 Department of Radiology, NorthShore University HealthSystem, 2650 Ridge Ave, Walgreen Bldg G534, Evanston, IL 60201.
Robert R Edelman1 Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL.
Northwestern University · USUniversity of Chicago · US

Funding

Nonenhanced 3T QISS MR Angiography of the Peripheral ArteriesR01HL130093 · NHLBI · ENDEAVOR HEALTH CLINICAL OPERATIONS · PI EDELMAN, ROBERT R. · 2016 to 2019
$2.0M
Non-Contrast Magnetic Resonance Angiography of Peripheral Vascular DiseaseR01HL096916 · NHLBI · ENDEAVOR HEALTH CLINICAL OPERATIONS · PI EDELMAN, ROBERT R. · 2010 to 2013
$1.8M
Projection Imaging of Peripheral Vascular CalcificationsR21HL126015 · NHLBI · ENDEAVOR HEALTH CLINICAL OPERATIONS · PI EDELMAN, ROBERT R. · 2015 to 2016
$442k
NHLBI NIH HHS R01 HL096916NHLBI NIH HHS R01 HL130093NHLBI NIH HHS R21 HL126015
6 · The paper itself

Abstract

objectiveWith MR angiography of peripheral arterial disease, calcifications are unapparent, so a separate calcification-sensitive pulse sequence (proton density-weighted in-phase 3D stack-of-stars [PDIP-SOS]) is needed for complete assessment. We hypothesized that, despite being acquired separately, MR angiography and PDIP-SOS images could be coregistered and fused without loss of significant diagnostic information.

conclusionIn a prospective study of 15 patients, MR image fusion enabled the simultaneous display of vessel lumen and vascular calcifications similarly to CT angiography.

Indexed as

AgedAged, 80 and overComputed Tomography AngiographyContrast MediaFeasibility StudiesFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalIohexolMagnetic Resonance AngiographyMaleMiddle AgedPeripheral Arterial DiseaseProspective StudiesContrast MediaIohexolCT angiographyimage fusionMR angiographyunenhancedvascular calcifications

Identifiers

PMID30714829
PMCPMC6681896
OpenAlexW2911581917

What OpenQuestion holds

Textmetadata
LicenceTDM
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.