Evidence map›Paper›PMID 42339983›Full record

ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2026

Point-of-Care Ultrasound M-Mode Analysis Using M.mode.ify: An External Validation Study for E-point Septal Separation Measurement.

David Crockett, Elijah Wyatt, Benjamin C Smith, Jamal Jones, Jennifer Cotton, Christopher Kelly

Abstract readValidation Study
In one paragraph

Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

David CrockettDepartment of Emergency Medicine, University of Utah, Salt Lake City, Utah, USA.ORCID https://orcid.org/0000-0002-2425-7711
Elijah WyattDepartment of Emergency Medicine, University of Tennessee College of Medicine, Chattanooga, Tennessee, USA.ORCID https://orcid.org/0009-0004-5717-6418
Benjamin C SmithDepartment of Emergency Medicine, University of Tennessee College of Medicine, Chattanooga, Tennessee, USA.
Jamal JonesDepartment of Emergency Medicine, University of Utah, Salt Lake City, Utah, USA.
Jennifer CottonDepartment of Emergency Medicine, University of Utah, Salt Lake City, Utah, USA.
Christopher KellyDepartment of Emergency Medicine, University of Utah, Salt Lake City, Utah, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesM-mode ultrasound provides high temporal resolution imaging by rendering a single scan line over time, enabling precise measurement of rapidly moving structures. Traditional M-mode is limited to real-time acquisition and cannot be applied retrospectively. M.mode.ify is a novel software tool that generates M-mode-like tracings from video data, enabling post-acquisition analysis. This study evaluates the accuracy of M.mode.ify in measuring E-point septal separation (EPSS), a key echocardiographic parameter.

methodsWe retrospectively analyzed 50 cardiac ultrasound studies from our institution's quality assurance database. Inclusion criteria required both a saved M-mode EPSS image and a parasternal long axis (PLAX) video clip. EPSS values from M-mode served as the reference standard. Two blinded reviewers independently measured EPSS using M.mode.ify. Inter-rater reliability and agreement with the standard were assessed using Pearson correlation coefficients. Absolute error was calculated to quantify measurement precision.

resultsOf the 50 analyzed studies, 9 were excluded due to inadequate anatomical visualization. Among the 41 included studies, inter-rater correlation was strong (r = 0.90), and agreement between M.mode.ify and standard M-mode measurements was excellent (r = 0.92). The mean absolute error was 2.38 mm (SD 1.71 mm).

conclusionM.mode.ify demonstrates high accuracy and reliability in measuring EPSS retrospectively. This tool may expand the utility of ultrasound data by enabling post hoc analysis of M-mode parameters.

Indexed as

EchocardiographyHeart SeptumPoint-of-Care SystemsSoftwareHumansReproducibility of ResultsRetrospective StudiesEPSSM‐modepoint‐of‐care ultrasound

Identifiers

PMID42339983
PMCPMC13659381

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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.