Evidence map›Paper›PMID 33778089›Full record

ArticleComputing in cardiology2020

An Image-based Approach for 3D Left Atrium Functional Measurements.

Alan Morris, Eugene Kholmovski, Nassir Marrouche, Joshua Cates, Shireen Elhabian

Open access · bronzeAbstract read
In one paragraph

Article in Computing in cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Spatiotemporal Cardiac Statistical Shape Modeling: A Data-Driven Approach.Statistical atlases and computational models of the heart. STACOM (Workshop) · 2022
    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

5 authors at 2 institutions in 1 country.

Alan MorrisScientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA.
Eugene KholmovskiDepartment of Radiology and Imaging Sciences, School of Medicine, University of Utah, Salt Lake City, UT, USA.
Nassir MarroucheTulane University School of Medicine, New Orleans, LA, USA.
Joshua CatesDivision of Cardiovascular Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA.
Shireen ElhabianScientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA.
University of Utah · USTulane University · US

Funding

ShapeWorks in the CloudR01AR076120 · NIAMS · UNIVERSITY OF UTAH · PI ELHABIAN, SHIREEN YOUSSEF · 2019 to 2024
$2.7M
New 3D and 4D Image-Based Clinical Measures of Atrial Structural and Functional Remodeling in Atrial FibrillationR01HL135568 · NHLBI · UNIVERSITY OF UTAH · PI CATES, JOSHUA E, ELHABIAN, SHIREEN YOUSSEF · 2017 to 2020
$1.4M
ShapeWorksStudio: An Integrative, User-Friendly, and Scalable Suite for Shape Representation and AnalysisU24EB029011 · NIBIB · UNIVERSITY OF UTAH · PI ELHABIAN, SHIREEN YOUSSEF · 2019 to 2023
$1.4M
NHLBI NIH HHS R01 HL135568NIAMS NIH HHS R01 AR076120NIBIB NIH HHS U24 EB029011
6 · The paper itself

Abstract

There is growing interest in the assessment of function of the left atrium (LA) in patients with atrial fibrillation (AF). Existing methods of LA functional measurement only quantify a limited subset of the functional parameters from a single or biplane CINE-MRI scan through the LA. Here, we propose an image-based method for comprehensive evaluation of the function of the entire LA in 3D. 4D LA images were reconstructed from a series of CINE image stack covering the whole LA with small or no gap between thin slices. A segmentation from a high-resolution Magnetic Resonance Angiography (MRA) was registered and propagated through pairwise deformable registrations covering the cardiac cycle. Volume, LA ejection fraction and surface strain were computed for each timepoint and registered to Late Gadolinium Enhancement (LGE) scans for each of 52 patient scans. A correlation coefficient of -0.11 was calculated between LGE and strain, indicating that fibrotic tissue correlates with reduced elasticity.

Identifiers

PMID33778089
PMCPMC7992118
OpenAlexW3118324458

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.