Evidence map›Paper›PMID 26065866›Full record

Trial reportJournal of visualized experiments : JoVE2015

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis.

Venkatesh Mani, Nadia Alie, Sarayu Ramachandran, Philip M Robson, Cecilia Besa, Gregory Piazza, Michele Mercuri, Michael Grosso, Bachir Taouli, Samuel Z Goldhaber and 1 more

Open access · bronzeAbstract readMulticenter StudyRandomized Controlled TrialVideo-Audio Media
In one paragraph

Trial report in Journal of visualized experiments : JoVE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Review
  3. 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

11 authors at 6 institutions in 3 countries.

Venkatesh ManiDepartment of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai; venkatesh.mani@mssm.edu.
Nadia AlieDepartment of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai.
Sarayu RamachandranDepartment of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai.
Philip M RobsonDepartment of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai.
Cecilia BesaDepartment of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai.
Gregory PiazzaCardiovascular Division, Brigham and Women's Hospital, Harvard Medical School.
Michele MercuriDaiichi Sankyo Pharma Development.
Michael GrossoDaiichi Sankyo Pharma Development.
Bachir TaouliDepartment of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai.
Samuel Z GoldhaberCardiovascular Division, Brigham and Women's Hospital, Harvard Medical School.
Zahi A FayadDepartment of Radiology, Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai.
Imaging Center · USIcahn School of Medicine at Mount Sinai · USBrigham and Women's Hospital · USDaiichi Sankyo (Germany) · DEDaiichi-Sankyo (South Korea) · KRHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated a magnetic resonance venography (MRV) approach with gadofosveset to quantify total thrombus volume changes as the principal criterion for treatment efficacy in a multicenter randomized study comparing edoxaban monotherapy with a heparin/warfarin regimen for acute, symptomatic lower extremities deep vein thrombosis (DVT) treatment. We also used a direct thrombus imaging approach (DTHI, without the use of a contrast agent) to quantify fresh thrombus. We then sought to evaluate the reproducibility of the analysis methodology and applicability of using 3D magnetic resonance venography and direct thrombus imaging for the quantification of DVT in a multicenter trial setting. From 10 randomly selected subjects participating in the edoxaban Thrombus Reduction Imaging Study (eTRIS), total thrombus volume in the entire lower extremity deep venous system was quantified bilaterally. Subjects were imaged using 3D-T1W gradient echo sequences before (direct thrombus imaging, DTHI) and 5 min after injection of 0.03 mmol/kg of gadofosveset trisodium (magnetic resonance venography, MRV). The margins of the DVT on corresponding axial, curved multi-planar reformatted images were manually delineated by two observers to obtain volumetric measurements of the venous thrombi. MRV was used to compute total DVT volume, whereas DTHI was used to compute volume of fresh thrombus. Intra-class correlation (ICC) and Bland Altman analysis were performed to compare inter and intra-observer variability of the analysis. The ICC for inter and intra-observer variability was excellent (0.99 and 0.98, p <0.001, respectively) with no bias on Bland-Altman analysis for MRV images. For DTHI images, the results were slightly lower (ICC = 0.88 and 0.95 respectively, p <0.001), with bias for inter-observer results on Bland-Altman plots. This study showed feasibility of thrombus volume estimation in DVT using MRV with gadofosveset trisodium, with good intra- and inter-observer reproducibility in a multicenter setting.

Indexed as

Contrast MediaGadoliniumHumansLegMagnetic Resonance AngiographyOrganometallic CompoundsPelvisPyridinesReproducibility of ResultsThiazolesVenous ThrombosisContrast Mediaedoxabangadofosveset trisodiumGadoliniumOrganometallic CompoundsPyridinesThiazoles

Identifiers

PMID26065866
PMCPMC4544497
OpenAlexW570987758

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.