Evidence map›Paper›PMID 37721579›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2023

Improved diagnostic accuracy for coronary artery disease detection with quantitative 3D

Jennifer M Renaud, Alexis Poitrasson-Rivière, Jonathan B Moody, Tomoe Hagio, Edward P Ficaro, Venkatesh L Murthy

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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 at 2 institutions in 1 country.

Jennifer M RenaudINVIA Medical Imaging Solutions, 3025 Boardwalk Dr., Suite 200, Ann Arbor, MI, 48108, USA. jrenaud@inviasolutions.com.
Alexis Poitrasson-RivièreINVIA Medical Imaging Solutions, 3025 Boardwalk Dr., Suite 200, Ann Arbor, MI, 48108, USA.
Jonathan B MoodyINVIA Medical Imaging Solutions, 3025 Boardwalk Dr., Suite 200, Ann Arbor, MI, 48108, USA.
Tomoe HagioINVIA Medical Imaging Solutions, 3025 Boardwalk Dr., Suite 200, Ann Arbor, MI, 48108, USA.
Edward P Ficaro *INVIA Medical Imaging Solutions, 3025 Boardwalk Dr., Suite 200, Ann Arbor, MI, 48108, USA.
Venkatesh L Murthy *Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Corvia Medical (United States) · USMichigan Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo establish requirements for normal databases for quantitative rubidium-82 (

methodsIn total, 1571 patients with

resultsTPD diagnostic accuracy was significantly higher using 3D PET normal databases (per-patient: 80.1% for 3D databases, versus 74.9% and 77.7% for 2D database applied to iterative and TOF images respectively, p < 0.05). Differences in male and female normal distributions for 3D attenuation-corrected reconstructions were not clinically meaningful; therefore, sex-independent databases were used. Logistic regression modeling including TPD demonstrated improved performance over clinical reads.

conclusionsNormal databases tailored to 3D PET images provide significantly improved diagnostic accuracy for PET MPI evaluation with automated quantitative TPD. Clinical application of these techniques should be considered to support accurate image interpretation.

Indexed as

Coronary Artery DiseaseMyocardial Perfusion ImagingCoronary AngiographyFemaleHumansMalePositron Emission Tomography Computed TomographySensitivity and SpecificityTomography, Emission-Computed, Single-Photon3D iterative reconstructionCoronary artery diseaseMyocardial perfusion imagingPositron emission tomographyTotal perfusion deficit

Identifiers

PMID37721579
OpenAlexW4386818030

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.