Evidence map›Paper›PMID 37131093›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2023

4D display of CT LV endocardial and epicardial models morphed from PET Rb-82 perfusion studies accurately quantifies segmental myocardial thickening.

Marina Piccinelli, C David Cooke, Russell Folks, Ernest V Garcia

Open access · greenAbstract read
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 84% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Marina PiccinelliDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 30322, USA. mpiccin@emory.edu.ORCID 0000-0003-1228-3012
C David CookeDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 30322, USA.
Russell FolksDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 30322, USA.
Ernest V GarciaDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, NE, Atlanta, GA, 30322, USA.
Emory University · USEmory Healthcare · US

Funding

Quantification of myocardial blood flow using Dynamic PET/CTA fused imagery to determine physiological significance of specific coronary lesionsR01HL143350 · NHLBI · EMORY UNIVERSITY · PI PICCINELLI, MARINA · 2018 to 2021
$2.4M
NHLBI NIH HHS R01 HL143350
6 · The paper itself

Abstract

backgroundMPI-derived LV wall thickening assessments for diagnostic purposes has been part of clinical guidelines for two decades. It relies on visual evaluation of tomographic slices or regional quantification displayed in 2D polar maps. 4D displays have not entered clinical usage nor have they been validated on their potential to provide equivalent information. The purpose of this work was to validate a 4D realistic display recently designed to quantitatively represent the thickening information from gated MPI into CT-morphed endocardial and epicardial moving surfaces.

methodsForty patients who underwent

resultsTwo cohorts of patients (normal and abnormal) were identified based on SSS. R coefficients were as follows: for all pooled segments PCC

conclusionsOur novel technique for the visualization of LV wall thickening by means of 4D CT endocardial and epicardial surface models accurately replicated

Indexed as

Four-Dimensional Computed TomographyVentricular Function, LeftHumansPerfusionPositron-Emission TomographyRubidium RadioisotopesRubidium-82Rubidium Radioisotopesimage analysisimage interpretationPET

Identifiers

PMID37131093
PMCPMC10658716
OpenAlexW4367672130

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.