Evidence map›Paper›PMID 29294215›Full record

ReviewJournal of cardiovascular translational research2018

Atlas-Based Computational Analysis of Heart Shape and Function in Congenital Heart Disease.

Kathleen Gilbert, Nickolas Forsch, Sanjeet Hegde, Charlene Mauger, Jeffrey H Omens, James C Perry, Beau Pontré, Avan Suinesiaputra, Alistair A Young, Andrew D McCulloch

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of cardiovascular translational research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Article
  2. Motion correction and super-resolution for multi-slice cardiac magnetic resonance imaging via an end-to-end deep learning approach.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2024
    Article
  3. A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Computational models in cardiology.Nature reviews. Cardiology · 2019
    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

10 authors.

Kathleen GilbertDepartment of Anatomy and Medical Imaging, University of Auckland, 85 Park Rd, Grafton, Auckland, 1142, New Zealand.
Nickolas ForschDepartment of Bioengineering, University of California, San Diego, USA.
Sanjeet HegdeDepartment of Paediatrics, University of California San Diego, San Diego, USA.
Charlene MaugerDepartment of Anatomy and Medical Imaging, University of Auckland, 85 Park Rd, Grafton, Auckland, 1142, New Zealand.
Jeffrey H OmensDepartment of Medicine, University of California San Diego, San Diego, USA.
James C PerryDepartment of Bioengineering, University of California, San Diego, USA.
Beau PontréDepartment of Anatomy and Medical Imaging, University of Auckland, 85 Park Rd, Grafton, Auckland, 1142, New Zealand.
Avan SuinesiaputraDepartment of Anatomy and Medical Imaging, University of Auckland, 85 Park Rd, Grafton, Auckland, 1142, New Zealand.
Alistair A YoungDepartment of Anatomy and Medical Imaging, University of Auckland, 85 Park Rd, Grafton, Auckland, 1142, New Zealand. a.young@auckland.ac.nz.
Andrew D McCullochDepartment of Bioengineering, University of California, San Diego, USA.

Funding

National Biomedical Computation Resource - Competitive Revision SupplementP41GM103426 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E · 2012 to 2019
$14.0M
The Cardiac Atlas ProjectR01HL121754 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D., OMENS, JEFFREY H. · 2014 to 2023
$5.0M
Analyzing the Cardiac Power Grid: Adaptive responses to fluctuating local demandU01HL122199 · NHLBI · UNIVERSITY OF WASHINGTON · PI BEARD, DANIEL A, DASH, RANJAN K · 2015 to 2019
$3.3M
NHLBI NIH HHS R01 HL121754NHLBI NIH HHS R01HL121754NIGMS NIH HHS 8P41GM103426NIGMS NIH HHS P41 GM103426
6 · The paper itself

Abstract

Approximately 1% of all babies are born with some form of congenital heart defect. Many serious forms of CHD can now be surgically corrected after birth, which has led to improved survival into adulthood. However, many patients require serial monitoring to evaluate progression of heart failure and determine timing of interventions. Accurate multidimensional quantification of regional heart shape and function is required for characterizing these patients. A computational atlas of single ventricle and biventricular heart shape and function enables quantification of remodeling in terms of z scores in relation to specific reference populations. Progression of disease can then be monitored effectively by longitudinal evaluation of z scores. A biomechanical analysis of cardiac function in relation to population variation enables investigation of the underlying mechanisms for developing pathology. Here, we summarize recent progress in this field, with examples in single ventricle and biventricular congenital pathologies.

Indexed as

Atlases as TopicModels, CardiovascularPatient-Specific ModelingClinical Decision-MakingDisease ProgressionHeart Defects, CongenitalHumansPatient-Centered CarePatient SelectionPrognosisTime FactorsVentricular FunctionVentricular RemodelingAtlas-based analysisCongenital heart diseasePatient-specific modeling

Identifiers

PMID29294215
PMCPMC5910190

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.