Evidence map›Paper›PMID 42310556›Full record

ArticleBMC medical imaging2026

Multi-organ metabolic connectivity mapping in advanced pulmonary arterial hypertension: a group-level 18 F-FDG PET-controlled study.

Marc-Antoine Rey, Suzanne Varet, Anne Roche, Jérôme Ghidaglia, Remy Mas, Yannick Jentreau, David Montani, Stéphane Onephandara, Marc Humbert, Aude Amoin and 3 more

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Article in BMC medical imaging, 2026. 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

13 authors.

Marc-Antoine Rey *Department of Nuclear Medicine - Molecular Imaging, Hôpitaux Universitaires Paris-Saclay AP-HP, DMU SMART IMAGING, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Suzanne Varet *Laboratoire de Mathématiques d'Orsay, CNRS / Université Paris-Saclay, Paris, France.
Anne RocheDepartment of Respiratory and Intensive Care Medicine (FHU André Cournand, ERN-LUNG), Université Paris-Saclay, Inserm UMR_S 1358 (HPPIT), Hôpital Bicêtre (AP-HP), Le Kremlin-Bicêtre, France.
Jérôme GhidagliaDepartment of Nuclear Medicine - Molecular Imaging, Hôpitaux Universitaires Paris-Saclay AP-HP, DMU SMART IMAGING, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Remy MasMedical Information Department, Hôpitaux Universitaires Paris-Saclay AP-HP, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Yannick JentreauDepartment of Nuclear Medicine - Molecular Imaging, Hôpitaux Universitaires Paris-Saclay AP-HP, DMU SMART IMAGING, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
David MontaniDepartment of Respiratory and Intensive Care Medicine (FHU André Cournand, ERN-LUNG), Université Paris-Saclay, Inserm UMR_S 1358 (HPPIT), Hôpital Bicêtre (AP-HP), Le Kremlin-Bicêtre, France.
Stéphane OnephandaraDepartment of Nuclear Medicine - Molecular Imaging, Hôpitaux Universitaires Paris-Saclay AP-HP, DMU SMART IMAGING, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Marc HumbertDepartment of Respiratory and Intensive Care Medicine (FHU André Cournand, ERN-LUNG), Université Paris-Saclay, Inserm UMR_S 1358 (HPPIT), Hôpital Bicêtre (AP-HP), Le Kremlin-Bicêtre, France.
Aude AmoinDepartment of Nuclear Medicine - Molecular Imaging, Hôpitaux Universitaires Paris-Saclay AP-HP, DMU SMART IMAGING, Hôpital Bicêtre, Le Kremlin-Bicêtre, France.
Laurent SavaleDepartment of Respiratory and Intensive Care Medicine (FHU André Cournand, ERN-LUNG), Université Paris-Saclay, Inserm UMR_S 1358 (HPPIT), Hôpital Bicêtre (AP-HP), Le Kremlin-Bicêtre, France.
Sylvain FaureLaboratoire de Mathématiques d'Orsay, CNRS / Université Paris-Saclay, Paris, France.
Florent L BessonDepartment of Nuclear Medicine - Molecular Imaging, Hôpitaux Universitaires Paris-Saclay AP-HP, DMU SMART IMAGING, Hôpital Bicêtre, Le Kremlin-Bicêtre, France. florent.besson@aphp.fr.ORCID https://orcid.org/0000-0002-9826-3890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore potential systemic alterations in carbohydrate metabolism associated with advanced pulmonary arterial hypertension (PAH) using group-level PET-based metabolic connectivity mapping.

methodsThis retrospective, controlled study analysed

resultsStandard SUV analysis revealed no significant intergroup differences across most organs except for increased uptake in the right heart in PAH patients. MMD testing confirmed intra-group homogeneity in both controls (0,0048) and PAH (0,0465), with no rejection of H

conclusionGroup-level whole-body

Indexed as

Positron Emission Tomography Computed TomographyPulmonary Arterial HypertensionAdultFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedRadiopharmaceuticalsRetrospective StudiesFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PETAutomated segmentationConnectivity mappingPulmonary arterial hypertension

Identifiers

PMID42310556
PMCPMC13520483

What OpenQuestion holds

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Registered trials

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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.