Evidence map›Paper›PMID 35192160›Full record

ArticleAnnals of nuclear medicine2022

Myocardial perfusion quantification with Rb-82 PET: good interobserver agreement of Carimas software on global, regional, and segmental levels.

Sergey V Nesterov, Emmanuel Deshayes, Luis Eduardo Juarez-Orozco, Robert A deKemp, Roberto Sciagrà, Simona Malaspina, Leonardo Settimo, Chunlei Han, Darja V Ryzhkova, Irina S Kostina and 3 more

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Article in Annals of nuclear medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  2. Article
4 · The record

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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

13 authors.

Sergey V NesterovTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland. sergey.nesterov@tyks.fi.ORCID http://orcid.org/0000-0002-6549-8749
Emmanuel DeshayesUniversity of Lausanne, Lausanne, Switzerland.
Luis Eduardo Juarez-OrozcoTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
Robert A deKempNational Cardiac PET Center, University of Ottawa Heart Institute, Ottawa, Canada.
Roberto SciagràUniversity of Florence, Florence, Italy.
Simona MalaspinaTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
Leonardo SettimoUniversity of Florence, Florence, Italy.
Chunlei HanTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
Darja V RyzhkovaAlmazov Federal Heart, Blood and Endocrinology Centre, Saint Petersburg, Russia.
Irina S KostinaAlmazov Federal Heart, Blood and Endocrinology Centre, Saint Petersburg, Russia.
Kilem L GwetAdvanced Analytics LLC, Gaithersburg, MD, USA.
John O PriorUniversity of Lausanne, Lausanne, Switzerland.
Juhani M KnuutiTurku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo estimate the interobserver agreement of the Carimas software package (SP) on global, regional, and segmental levels for the most widely used myocardial perfusion PET tracer-Rb-82. MATERIALS AND

methodsRest and stress Rb-82 PET scans of 48 patients with suspected or known coronary artery disease (CAD) were analyzed in four centers using the Carimas SP. We considered values to agree if they simultaneously had an intraclass correlation coefficient (ICC) > 0.75 and a difference < 20% of the median across all observers.

resultsThe median values on the segmental level were 1.08 mL/min/g for rest myocardial blood flow (MBF), 2.24 mL/min/g for stress MBF, and 2.17 for myocardial flow reserve (MFR). For the rest MBF and MFR, all the values at all the levels fulfilled were in excellent agreement. For stress MBF, at the global and regional levels, all the 24 comparisons showed excellent agreement. Only 1 out of 102 segmental comparisons (seg. 14) was over the adequate agreement limit-23.5% of the median value (ICC = 0.95).

conclusionInterobserver agreement for Rb-82 PET myocardial perfusion quantification analyzed with Carimas is good at any LV segmentation level-global, regional, and segmental. It is good for all the estimates-rest MBF, stress MBF, and MFR.

Indexed as

Coronary Artery DiseaseMyocardial Perfusion ImagingCoronary CirculationHumansObserver VariationPerfusionPositron-Emission TomographyReproducibility of ResultsRubidium RadioisotopesSoftwareRubidium-82Rubidium RadioisotopesAbsolute quantificationAgreementCarimasImaging softwareMyocardial blood flowMyocardial perfusion quantificationPET standardizationQuantitative imagingReproducibilityRubidium-82Standards in nuclear cardiology

Identifiers

PMID35192160
PMCPMC9132838

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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.