Evidence map›Paper›PMID 42329326›Full record

ArticleEJNMMI research2026

Cardiopulmonary transit time measured on dynamic rubidium cardiac PET/CT is a predictor for pulmonary hypertension.

Lena C Seige, Jakob Heimer, Karsten Murray, Eva Seiler, Niklas Stauffer, Cristina Popescu, Christian la Fougère, Eric Moulton, Nidaa Mikail, Sabin G Pop and 2 more

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Article in EJNMMI research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Lena C SeigeDepartment of Nuclear Medicine, Cantonal Hospital Baden, Partner hospital for research and teaching of the Medical Faculty of the University of Zurich, Im Ergel 1, Baden, 5404, Switzerland.
Jakob HeimerETH Zurich, Digital Trial Innovation Platform, Partnerhaus KSB, Baden, 5404, Switzerland.
Karsten MurrayDepartment of Cardiology, Cantonal Hospital Baden, Baden, 5404, Switzerland.
Eva SeilerDepartment of Cardiology, Cantonal Hospital Baden, Baden, 5404, Switzerland.
Niklas StaufferDepartment of Cardiology, Cantonal Hospital Baden, Baden, 5404, Switzerland.
Cristina PopescuDepartment of Nuclear Medicine, Cantonal Hospital Baden, Partner hospital for research and teaching of the Medical Faculty of the University of Zurich, Im Ergel 1, Baden, 5404, Switzerland.
Christian la FougèreDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, 72074, Tuebingen, Germany.
Eric MoultonJubilant Radiopharma, Kirkland, Québec, Canada.
Nidaa MikailDepartment of Nuclear Medicine, Cantonal Hospital Baden, Partner hospital for research and teaching of the Medical Faculty of the University of Zurich, Im Ergel 1, Baden, 5404, Switzerland.
Sabin G PopDepartment of Nuclear Medicine, Cantonal Hospital Baden, Partner hospital for research and teaching of the Medical Faculty of the University of Zurich, Im Ergel 1, Baden, 5404, Switzerland.
Irene A BurgerDepartment of Nuclear Medicine, Cantonal Hospital Baden, Partner hospital for research and teaching of the Medical Faculty of the University of Zurich, Im Ergel 1, Baden, 5404, Switzerland.
Alexander W SauterDepartment of Nuclear Medicine, Cantonal Hospital Baden, Partner hospital for research and teaching of the Medical Faculty of the University of Zurich, Im Ergel 1, Baden, 5404, Switzerland. alexander.walter.sauter@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiopulmonary transit time (CPTT), the time for blood to circulate from the right to the left ventricle, can be assessed on dynamic Rubidium-82 ([

resultsProlonged NCPTT was significantly associated with lower left ventricular ejection fraction and increased body weight (p < 0.05). NCPTT was significantly associated with left and right ventricular systolic dysfunction (OR = 1.21, 95%CI:1.04-1.42, p < 0.05; OR = 1.18, 95%CI:1.04-1.34, p < 0.01), elevated pulmonary arterial pressure (OR = 1.21, 95%CI:1.02-1.44, p < 0.05), and possible pulmonary hypertension (p < 0.05), but not with left ventricular diastolic dysfunction.

conclusionOur findings suggest that NCPTT may serve as a useful additional marker for assessing cardiac function, particularly ejection fraction, and could help in the evaluation of patients with suspected cardiac systolic dysfunction, as well as the detection of pulmonary hypertension.

Indexed as

EchocardiographyMyocardial perfusion imagingPositron emission tomography computed tomographyPulmonary hypertensionPulmonary transit timeRubidium-82

Identifiers

PMID42329326
PMCPMC13433693

What Socratic holds

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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 Socratic graph.