Evidence map›Paper›PMID 30172940›Full record

ArticleMagnetic resonance imaging2019

Mitral annular velocity measurement with cardiac magnetic resonance imaging using a novel annular tracking algorithm: Validation against echocardiography.

Paaladinesh Thavendiranathan, Christoph Guetter, Juliana Serafim da Silveira, Xiaoguang Lu, Debbie Scandling, Hui Xue, Marie-Pierre Jolly, Subha V Raman, Orlando P Simonetti

Abstract readComparative StudyValidation Study
In one paragraph

Article in Magnetic resonance imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

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  5. MVnet: automated time-resolved tracking of the mitral valve plane in CMR long-axis cine images with residual neural networks: a multi-center, multi-vendor study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021
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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

9 authors at 4 institutions in 3 countries.

Paaladinesh ThavendiranathanThe Ohio State University, Columbus, OH, USA; Toronto General Hospital, Peter Munk Cardiac Center, University of Toronto, Toronto, ON, Canada. Electronic address: dinesh.thavendiranathan@uhn.ca.
Christoph GuetterSiemens Medical Solutions, Medical Imaging Technologies, Princeton, NJ, USA. Electronic address: christoph.guetter@gmail.com.
Juliana Serafim da SilveiraThe Ohio State University, Columbus, OH, USA. Electronic address: Juliana.Silveira@procardiaco.com.br.
Xiaoguang LuSiemens Medical Solutions, Medical Imaging Technologies, Princeton, NJ, USA. Electronic address: Xiaoguang.Lu@siemens.com.
Debbie ScandlingThe Ohio State University, Columbus, OH, USA. Electronic address: debbie.scandling@osumc.edu.
Hui XueNHLBI, Bethesda, MD, USA. Electronic address: hui.xue@nih.gov.
Marie-Pierre JollySiemens Medical Solutions, Medical Imaging Technologies, Princeton, NJ, USA. Electronic address: marie-pierre.jolly@siemens.com.
Subha V RamanThe Ohio State University, Columbus, OH, USA. Electronic address: Subha.raman@osumc.edu.
Orlando P SimonettiThe Ohio State University, Columbus, OH, USA. Electronic address: Orlando.Simonetti@osumc.edu.
The Ohio State University · USMedical Solutions · GBNational Institutes of Health · USUniversity of Toronto · CA

Funding

Exercise Stress Cardiovascular Magnetic ResonanceR01HL102450 · NHLBI · OHIO STATE UNIVERSITY · PI RAMAN, SUBHA V, SIMONETTI, ORLANDO PAUL · 2010 to 2013
$2.5M
CIHR FRN 147814NHLBI NIH HHS R01 HL102450
6 · The paper itself

Abstract

backgroundDoppler based mitral annular velocities are an integral part of echocardiographic left ventricular diastolic function assessment. Although these measurements can be obtained by phase contrast cardiac magnetic resonance imaging (PC-CMR), this approach has limitations. The aims of this study were to assess the accuracy and reproducibility of a high temporal resolution steady-state free precession (SSFP) cine acquisition coupled with semi-automated mitral annular tracking to measure tissue velocity, and compare to echocardiography as the reference method.

methodsHigh temporal resolution (17 ms) 4-chamber cines were acquired in 25 volunteers using retrospective and prospective gating on a 3.0 T magnet. Mitral annular early (e') and late (a') tissue velocities were derived using a novel algorithm to semi-automatically detect the mitral valve insertion points and track its motion. Additionally, PC-CMR was used to measure mitral inflow early diastolic (E) velocity. Those measurements were also obtained using echocardiography based pulsed and tissue Doppler techniques, on the same day.

resultsSubjects were on average 34 ± 14 years-old (48% male). The lateral annulus e' measurements had the best agreement with echocardiography with a concordance correlation coefficient (CCC) of 0.76 and 0.75 for prospectively and retrospectively gated cine CMR respectively. There was no significant difference in the lateral annular tissue velocities between echocardiography (13.8 ± 3.7 cm/s) and prospective (13.4 ± 3.7 cm/s) or retrospective (14.0 ± 3.7) acquisitions. Similarly, CMR measurement of E/e' (a surrogate marker for LV filling pressures) using the lateral e' velocity showed moderate agreement with echocardiography (CCC of 0.56 and 0.51 for prospective and retrospective acquisitions respectively) without a significant difference in ratios (5.3 ± 1.6 and 5.0 ± 1.3) compared to echocardiography (5.2 ± 1.4). Intra- and inter-observer reproducibility of the CMR-based annular velocity measurements was good.

conclusionMeasurements of mitral annular tissue velocities can be obtained from SSFP 4-chamber cine images using a semi-automated annular tracking algorithm, and demonstrates moderate agreement with echocardiography. The semi-automated method can provide quantitative mitral annular velocity measurements directly from conventional cine images, thereby providing additional clinically relevant information. The accuracy of this method in patients with diastolic dysfunction remains to be determined.

Indexed as

AlgorithmsEchocardiographyMagnetic Resonance ImagingAdultAgedBlood Flow VelocityDiastoleFemaleHeartHumansImage Processing, Computer-AssistedMaleMiddle AgedMitral ValveMotionObserver VariationCardiovascular magnetic resonanceDiastolic functionEchocardiographyMitral annular velocitySemi-automated annular trackingSSFP cine imaging

Identifiers

PMID30172940
PMCPMC6330889
OpenAlexW2889020382

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.