Evidence map›Paper›PMID 28231838›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2017

Continuous measurement of aortic dimensions in Turner syndrome: a cardiovascular magnetic resonance study.

Dhananjay Radhakrishnan Subramaniam, William A Stoddard, Kristian H Mortensen, Steffen Ringgaard, Christian Trolle, Claus H Gravholt, Ephraim J Gutmark, Goutham Mylavarapu, Philippe F Backeljauw, Iris Gutmark-Little

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01678274 (Prospective Characterization of the Heart, Aorta and Blood Pressure in Women With Turner Syndrome. Association With Aortic Dissection.), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 15% 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.

NCT01678274 unknown statusnot on this map

Prospective Characterization of the Heart, Aorta and Blood Pressure in Women With Turner Syndrome. Association With Aortic Dissection.

TypeobservationalSponsorUniversity of AarhusRan2013 to 2016Enrolled106ConditionsTurner Syndrome, Aortic Aneurysm, Ischemic Heart Disease, Hypertension
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Three-dimensional aortic geometry mapping via registration of non-gated contrast-enhanced or gated and respiratory-navigated MR angiographies.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Observational
  3. Article
  4. Article
  5. Article
  6. Journal of Cardiovascular Magnetic Resonance: 2017/2018 in review.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2019
    Review
  7. Turner syndrome: mechanisms and management.Nature reviews. Endocrinology · 2019
    Review
  8. Journal of Cardiovascular Magnetic Resonance 2017.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018
    Review
  9. 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

10 authors at 5 institutions in 3 countries.

Dhananjay Radhakrishnan SubramaniamDepartment of Aerospace Engineering and Engineering Mechanics, CEAS, University of Cincinnati, Cincinnati, OH, USA.
William A StoddardDepartment of Aerospace Engineering and Engineering Mechanics, CEAS, University of Cincinnati, Cincinnati, OH, USA.
Kristian H MortensenCardio-respiratory Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Steffen RinggaardInstitute for Clinical Medicine, Aarhus University, Aarhus N, Denmark.
Christian TrolleDepartment of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus C, Denmark.
Claus H GravholtDepartment of Endocrinology and Internal Medicine, Aarhus University Hospital, Aarhus C, Denmark.
Ephraim J GutmarkDepartment of Aerospace Engineering and Engineering Mechanics, CEAS, University of Cincinnati, Cincinnati, OH, USA.
Goutham MylavarapuDivision of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Philippe F BackeljauwDivision of Endocrinology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
Iris Gutmark-LittleDivision of Endocrinology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA. iris.little@cchmc.org.
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati · USAarhus University Hospital · DKAarhus University · DKGreat Ormond Street Hospital for Children NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeverity of thoracic aortic disease in Turner syndrome (TS) patients is currently described through measures of aorta size and geometry at discrete locations. The objective of this study is to develop an improved measurement tool that quantifies changes in size and geometry over time, continuously along the length of the thoracic aorta.

methodsCardiovascular magnetic resonance (CMR) scans for 15 TS patients [41 ± 9 years (mean age ± standard deviation (SD))] were acquired over a 10-year period and compared with ten healthy gender and age-matched controls. Three-dimensional aortic geometries were reconstructed, smoothed and clipped, which was followed by identification of centerlines and planes normal to the centerlines. Geometric variables, including maximum diameter and cross-sectional area, were evaluated continuously along the thoracic aorta. Distance maps were computed for TS and compared to the corresponding maps for controls, to highlight any asymmetry and dimensional differences between diseased and normal aortae. Furthermore, a registration scheme was proposed to estimate localized changes in aorta geometry between visits. The estimated maximum diameter from the continuous method was then compared with corresponding manual measurements at 7 discrete locations for each visit and for changes between visits.

resultsManual measures at the seven positions and the corresponding continuous measurements of maximum diameter for all visits considered, correlated highly (R-value = 0.77, P < 0.01). There was good agreement between manual and continuous measurement methods for visit-to-visit changes in maximum diameter. The continuous method was less sensitive to inter-user variability [0.2 ± 2.3 mm (mean difference in diameters ± SD)] and choice of smoothing software [0.3 ± 1.3 mm]. Aortic diameters were larger in TS than controls in the ascending [TS: 13.4 ± 2.1 mm (mean distance ± SD), Controls: 12.6 ± 1 mm] and descending [TS: 10.2 ± 1.3 mm (mean distance ± SD), Controls: 9.5 ± 0.9 mm] thoracic aorta as observed from the distance maps.

conclusionsAn automated methodology is presented that enables rapid and precise three-dimensional measurement of thoracic aortic geometry, which can serve as an improved tool to define disease severity and monitor disease progression.

trial registrationClinicalTrials.gov Identifier - NCT01678274 . Registered - 08.30.2012.

Indexed as

Magnetic Resonance ImagingAdultAorta, ThoracicAortic Aneurysm, ThoracicAortic DissectionAutomationCase-Control StudiesDilatation, PathologicDisease ProgressionFemaleHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMiddle AgedObserver VariationPredictive Value of TestsAortaCardiovascular magnetic resonanceCenterlinesContinuous measuresEuclidean distanceIterative closest pointMaximum diameterTurner syndrome

Identifiers

PMID28231838
PMCPMC5324249
OpenAlexW2586400270

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.