Evidence map›Paper›PMID 41557150›Full record

ReviewHerz2026

[Potential of imaging in the clinical routine : Focus on cardiovascular MRI].

Nadine Abanador-Kamper, Torben Lange, Alexander Schulz, Theresa Reiter, Grigorios Korosoglou, Andreas Schuster, Jan Gröschel, Jeanette Schulz-Menger

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Herz, 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

8 authors.

Nadine Abanador-KamperMedizinische Klinik III, Kardiologie, Helios Universitätsklinikum Wuppertal, Universität Witten/Herdecke, Wuppertal, Deutschland. nadine.abanador@helios-gesundheit.de.
Torben LangeKlinik für Kardiologie und Pneumologie, Universitätsmedizin Göttingen, Georg-August-Universität Göttingen und Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Standort Niedersachsen, Göttingen, Deutschland.
Alexander SchulzKlinik für Kardiologie und Pneumologie, Universitätsmedizin Göttingen, Georg-August-Universität Göttingen und Deutsches Zentrum für Herz-Kreislauf-Forschung (DZHK), Standort Niedersachsen, Göttingen, Deutschland.
Theresa ReiterKlinik für Herz- und Kreislauferkrankungen, Abteilung für Elektrophysiologie, Deutsches Herzzentrum, Technische Universität München (TUM), München, Deutschland.
Grigorios KorosoglouKlinik für Kardiologie und Angiologie, GRN-Klinik Weinheim, Weinheim, Deutschland.
Andreas SchusterFORUM Medizin, Kardiologie, Rosdorf, Deutschland.
Jan GröschelCharite, Universitätsmedizin Berlin, Experimental and Clinical Research Center, Gemeinsame Einrichtung von Charite und Max-Delbrück-Zentrum, Klinik für Kardiologie und Nephrologie, HELIOS-Klinikum Berlin-Buch, Berlin, Deutschland.
Jeanette Schulz-MengerCharite, Universitätsmedizin Berlin, Experimental and Clinical Research Center, Gemeinsame Einrichtung von Charite und Max-Delbrück-Zentrum, Klinik für Kardiologie und Nephrologie, HELIOS-Klinikum Berlin-Buch, Berlin, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac magnetic resonance imaging (CMR) provides decisive advantages, particularly in coronary heart disease, myocarditis and cardiomyopathy. It accurately detects ischemia, scarring, edema and microvascular disorders, enables reliable risk stratification and supports treatment decisions such as revascularization or medication adjustments. Modern quantitative perfusion methods and artificial intelligence (AI)-based analyses further increase the diagnostic accuracy. In inflammatory myocardial and pericardial diseases, CMR using mapping techniques and late gadolinium enhancement (LGE) forms the basis for differentiated diagnostics and estimation of the prognosis. It also enables a precise etiological classification and provides prognostically relevant parameters in cases of hypertrophic, dilated, arrhythmogenic and restrictive cardiomyopathies. In the diagnostics of valvular diseases and the planning of interventional procedures and cardiac tumors, CMR provides essential additional information and demonstrates a high sensitivity and specificity. New techniques such as quantitative 4‑dimensional (4D) flow measurements, high-resolution 3D imaging and electrocardiograph (ECG)-independent scans will further increase its value. Due to the increasing number of CMR examinations, standardized procedures, qualified personnel and structured training programs are essential to ensure a high quality of care in the long term.

Indexed as

Cardiovascular DiseasesHeart DiseasesImage EnhancementMagnetic Resonance Imaging, CineEvidence-Based MedicineHumansSensitivity and SpecificityCardiomyopathiesCardiovascular magnetic resonance imagingCoronary artery diseaseMyocarditisTissue characterization

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.