Evidence map›Paper›PMID 41931251›Full record

ArticleEJNMMI research2026

FAPi-PET/CT as surrogate marker for subclinical myocardial fibrosis is a prognostic tool for patients undergoing left-sided heart valve surgery.

Theresa Holst, Alexander Dierks, Marianne Patt, Georgine Wienand, Lisa Müller, Christian H Pfob, Malte Kircher, Sina Stock, Constantin Lapa, Evaldas Girdauskas and 1 more

Abstract read
In one paragraph

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

What it found

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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

11 authors.

Theresa HolstDepartment of Cardiothoracic Surgery, Faculty of Medicine, Augsburg University Hospital, Augsburg, Germany.
Alexander DierksDepartment of Nuclear Medicine, Faculty of Medicine, Augsburg University Hospital, Augsburg, Germany.
Marianne PattDepartment of Nuclear Medicine, Faculty of Medicine, Augsburg University Hospital, Augsburg, Germany.
Georgine WienandDepartment of Nuclear Medicine, Faculty of Medicine, Augsburg University Hospital, Augsburg, Germany.
Lisa MüllerDepartment of Cardiothoracic Surgery, Faculty of Medicine, Augsburg University Hospital, Augsburg, Germany.
Christian H PfobDepartment of Nuclear Medicine, Faculty of Medicine, Augsburg University Hospital, Augsburg, Germany.
Malte KircherDepartment of Nuclear Medicine, Faculty of Medicine, Augsburg University Hospital, Augsburg, Germany.
Sina StockDepartment of Cardiothoracic Surgery, Faculty of Medicine, Augsburg University Hospital, Augsburg, Germany.
Constantin LapaDepartment of Nuclear Medicine, Faculty of Medicine, Augsburg University Hospital, Augsburg, Germany.
Evaldas Girdauskas *Department of Cardiothoracic Surgery, Faculty of Medicine, Augsburg University Hospital, Augsburg, Germany.
Ralph A Bundschuh *Department of Nuclear Medicine, Faculty of Medicine, Augsburg University Hospital, Augsburg, Germany. Ralph.Bundschuh@ukdd.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to evaluate fibroblast activation protein (FAP)-targeted positron emission tomography and computed tomography (PET/CT) imaging as surrogate marker for cardiac fibrosis and therefore as prognostic tool for patients with left-sided valvular heart disease undergoing open-heart surgery.

resultsIn 13 patients (6 men, 7 women; mean age ± SD, 62 ± 13 years) scheduled for aortic and/or mitral valve surgery (aortic, n = 3; mitral, n = 9; both, n = 1) preoperative FAPi-PET/CT ([68Ga]Ga-RTX1363S) was perfomred. FAP-positive volume and FAP uptake was quantified by different methods (isocontour with fixed and variable threshold) and correlated to preoperative clinical parameters, including (left ventricular ejection fraction (LVEF) and serum N-terminal prohormone of brain natriuretic peptide (NT-proBNP), as well as to changes in LVEF from preoperatively to 3–6 months follow-up (available for n = 11 patients). FAP-uptake in the left ventricular (LV) myocardium was highly variable in the study cohort. Isocontour-55%-based FAP-positive volume was found to correlate statistically significantly with preoperative LVEF (p = 0.03) and preoperative NT-proBNP (p = 0.02). In addition, we found a significant correlation with the change in LVEF from preoperatively to 3–6 months follow-up examination (p = 0.04).

conclusionsPreoperative FAPi PET/CT seems to have potential to predict LVEF changes after valvular heart surgery and may therefore be an important tool for risk stratification of asymptomatic patients with left-sided valvular heart disease to support the appropriate timing of valvular surgery.

Indexed as

Aortic valve diseaseCardiac fibrosisFAPi-PET/CTMitral valve disease

Identifiers

PMID41931251
PMCPMC13076814

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