Evidence map›Paper›PMID 41590891›Full record

ArticleJournal of imaging2025

Long-Term Prognostic Value in Nuclear Cardiology: Expert Scoring Combined with Automated Measurements vs. Angiographic Score.

George Angelidis, Stavroula Giannakou, Varvara Valotassiou, Emmanouil Panagiotidis, Ioannis Tsougos, Chara Tzavara, Dimitrios Psimadas, Evdoxia Theodorou, Charalampos Ziangas, John Skoularigis and 2 more

Abstract read
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In one paragraph

Article in Journal of imaging, 2025. 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
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.

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

12 authors.

George AngelidisNuclear Medicine Laboratory, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece.
Stavroula GiannakouNuclear Medicine Laboratory, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece.
Varvara ValotassiouNuclear Medicine Laboratory, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece.ORCID 0000-0001-8439-6708
Emmanouil PanagiotidisNuclear Medicine Laboratory, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece.
Ioannis TsougosMedical Physics Laboratory, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece.ORCID 0000-0002-5204-5273
Chara TzavaraNuclear Medicine Laboratory, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece.ORCID 0000-0003-3242-9066
Dimitrios PsimadasNuclear Medicine Laboratory, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece.
Evdoxia TheodorouNuclear Medicine Laboratory, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece.
Charalampos ZiangasNuclear Medicine Laboratory, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece.
John SkoularigisDepartment of Cardiology, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece.ORCID 0000-0001-7159-2478
Filippos TriposkiadisDepartment of Cardiology, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece.ORCID 0000-0001-6433-4016
Panagiotis GeorgouliasNuclear Medicine Laboratory, University Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evaluation of myocardial perfusion imaging (MPI) studies is based on the visual interpretation of the reconstructed images, while the measurements obtained through software packages may contribute to the investigation, mainly in cases of ambiguous scintigraphic findings. We aimed to investigate the long-term prognostic value of expert reading of Summed Stress Score (SSS), Summed Rest Score (SRS), and Summed Difference Score (SDS), combined with the automated measurements of these parameters, in comparison to the prognostic ability of the angiographic score for soft and hard cardiac events. The study was conducted at the Nuclear Medicine Laboratory of the University of Thessaly, in Larissa, Greece. Overall, 378 consecutive patients with known or suspected coronary artery disease (CAD) were enrolled. Automated measurements of SSS, SRS, and SDS were obtained using the Emory Cardiac Toolbox, Myovation, and Quantitative Perfusion SPECT software packages. Coronary angiographies were scored according to a four-point scoring system (angiographic score). Follow-up data were recorded after phone contact, as well as through review of hospital records. All participants were followed up for at least 36 months. Soft and hard cardiac events were recorded in 31.7% and 11.6% of the sample, respectively, while any cardiac event was recorded in 36.5%. For hard cardiac events, the prognostic value of expert scoring, combined with the prognostic value of the automated measurements, was significantly greater compared to the prognostic ability of the angiographic score (

Indexed as

angiographic scoreMPIprognosissoftware

Identifiers

PMID41590891
PMCPMC12843285

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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.