Evidence map›Paper›PMID 25948160›Full record

ArticleThe international journal of cardiovascular imaging2015

Semi-automated echocardiographic quantification of right ventricular size and function.

Diego Medvedofsky, Karima Addetia, Jamie Hamilton, Javier Leon Jimenez, Roberto M Lang, Victor Mor-Avi

Abstract readComparative StudyValidation Study
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologist.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2019
    Review
  5. Cardiovascular imaging 2015 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2016
    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

6 authors.

Diego MedvedofskySection of Cardiology, Department of Medicine, University of Chicago Medical Center, 5841 South Maryland Avenue, MC5084, Chicago, IL, 60637, USA.
Karima Addetia
Jamie Hamilton
Javier Leon Jimenez
Roberto M Lang
Victor Mor-Avi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although parameters of right ventricular (RV) size and function are clinically important, echocardiographic assessment of this chamber is complex. Existing quantitative approaches rely on manual measurements performed on different images, and are thus time-consuming. Consequently, in clinical practice, qualitative assessment is usually used instead. We tested a new approach for automated measurements of RV size and function using speckle tracking by comparing them to the conventional manual methodology. Transthoracic images were obtained in 149 patients with a wide range of RV size and function, and were analyzed by an expert using conventional techniques to obtain RV end-diastolic and end-systolic areas, fractional area change, dimensions (basal and mid-cavity diameters and length), tricuspid annular plane systolic excursion and peak systolic velocity. Same parameters were obtained using the semi-automated software (Epsilon Imaging), which requires tracing of the RV endocardial boundary in a single frame in the RV focused view. Fifteen patients were excluded due to image quality (90% feasibility). Time required for the automated analysis was approximately 30 s per patient, compared to 4 min for conventional analysis. The parameters obtained with the semi-automated approach were in good agreement with manual measurements: r-values 0.79-0.95 for RV size and 0.70-0.74 for function indices and biases of 2-22% of the mean measured values, which were comparable to the intrinsic variability of the conventional technique. In conclusion, the semi-automated technique is feasible, fast and provides quantitative parameters of RV size and function, which are comparable to conventional measurements.

Indexed as

Ventricular Function, RightAutomationEchocardiography, DopplerFeasibility StudiesHeart VentriclesHumansImage Interpretation, Computer-AssistedObserver VariationPredictive Value of TestsReproducibility of ResultsRetrospective StudiesTime Factors

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Registered trials

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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.