Evidence map›Paper›PMID 31824981›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2019

Anthropomorphic left ventricular mesh phantom: a framework to investigate the accuracy of SQUEEZ using Coherent Point Drift for the detection of regional wall motion abnormalities.

Ashish Manohar, Gabrielle M Colvert, Andrew Schluchter, Francisco Contijoch, Elliot R McVeigh

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. 3D regional evaluation of right ventricular myocardial work from cineCT.medRxiv : the preprint server for health sciences · 2024
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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

5 authors at 2 institutions in 1 country.

Ashish ManoharUniversity of California San Diego, Department of Mechanical and Aerospace Engineering, La Jolla, California, United States.
Gabrielle M ColvertUniversity of California San Diego, Department of Bioengineering, La Jolla, California, United States.ORCID https://orcid.org/0000-0001-5102-8650
Andrew SchluchterUniversity of California San Diego, Department of Bioengineering, La Jolla, California, United States.
Francisco ContijochUniversity of California San Diego, Department of Bioengineering, La Jolla, California, United States.
Elliot R McVeighUniversity of California San Diego, Department of Bioengineering, La Jolla, California, United States.
University of California, San Diego · USLa Jolla Bioengineering Institute · US

Funding

Training In Cardiovascular Physiology & PharmacologyT32HL007444 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Ju Chen, Robert Scott Ross · 1985 to 2026
$11.1M
Integrative Bioengineering of Heart, Vessels, and BloodT32HL105373 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, INTAGLIETTA, MARCOS · 2010 to 2019
$3.6M
True 4DCT for Quantifying LV Dyssynchrony and Function for Targeting LV Lead Location in CRTR01HL144678 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCVEIGH, ELLIOT R · 2019 to 2022
$3.3M
UCSD PRIDE Faculty Development Program in Cardiovascular SciencesR25HL145817 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Robert Scott Ross, Joann Trejo · 2019 to 2026
$3.3M
Patient-specific thrombosis risk in atrial fibrillation by 4D CT imaging of atrial kinetics combined with computational fluid dynamicsR01HL160024 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEL ALAMO, JUAN CARLOS, KAHN, ANDREW · 2021 to 2024
$2.7M
Comprehensive Assessment of Right Ventricular and Pulmonary Vascular Function via CT Imaging in Heart Failure PatientsK01HL143113 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CONTIJOCH, FRANCISCO J · 2018 to 2022
$872k
NHLBI NIH HHS K01 HL143113NHLBI NIH HHS R01 HL144678NHLBI NIH HHS R01 HL160024NHLBI NIH HHS R25 HL145817NHLBI NIH HHS T32 HL007444NHLBI NIH HHS T32 HL105373
6 · The paper itself

Abstract

We present an anthropomorphically accurate left ventricular (LV) phantom derived from human computed tomography (CT) data to serve as the ground truth for the optimization and the spatial resolution quantification of a CT-derived regional strain metric (SQUEEZ) for the detection of regional wall motion abnormalities. Displacements were applied to the mesh points of a clinically derived end-diastolic LV mesh to create analytical end-systolic poses with physiologically accurate endocardial strains. Normal function and regional dysfunction of four sizes [1, 2/3, 1/2, and 1/3 American Heart Association (AHA) segments as core diameter], each exhibiting hypokinesia (70% reduction in strain) and subtle hypokinesia (40% reduction in strain), were simulated. Regional shortening (

Indexed as

cardiac imagingcardiac modelingcardiac registrationischemic heart diseaseregional cardiac functionx-ray computed tomography

Identifiers

PMID31824981
PMCPMC6903427
OpenAlexW2995528796

What OpenQuestion holds

Textmetadata
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.