ReviewJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2020
Molecular imaging in nuclear cardiology: Pathways to individual precision medicine.
Review in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Next-generation molecular imaging of cardiac fibrosis.The international journal of cardiovascular imaging · 2026Review
- Research landscape of precision medicine in cardiology.Bioinformation · 2025Article
- In Vivo Cardiovascular Molecular Imaging: Contributions to Precision Medicine and Drug Development.Circulation · 2024Review
- Fusion Modeling: Combining Clinical and Imaging Data to Advance Cardiac Care.Circulation. Cardiovascular imaging · 2023Review
- Cardiovascular Imaging in Clinical Trial Design: A Vision for Sustainability.JACC. Case reports · 2023Article
- Tracers for Cardiac Imaging: Targeting the Future of Viable Myocardium.Pharmaceutics · 2023Review
- Recent Advances in Cardiovascular Diseases Research Using Animal Models and PET Radioisotope Tracers.International journal of molecular sciences · 2022Review
- A bioactivated in vivo assembly nanotechnology fabricated NIR probe for small pancreatic tumor intraoperative imaging.Nature communications · 2022Article
- Cardiac hybrid imaging: novel tracers for novel targets.Journal of geriatric cardiology : JGC · 2021Article
- Molecular Imaging Using Cardiac PET/CT: Opportunities to Harmonize Diagnosis and Therapy.Current cardiology reports · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Growth of molecular imaging bears potential to transform nuclear cardiology from a primarily diagnostic method to a precision medicine tool. Molecular targets amenable for imaging and therapeutic intervention are particularly promising to facilitate risk stratification, patient selection and exquisite guidance of novel therapies, and interrogation of systems-based interorgan communication. Non-invasive visualization of pathobiology provides valuable insights into the progression of disease and response to treatment. Specifically, inflammation, fibrosis, and neurohormonal signaling, central to the progression of cardiovascular disease and emerging therapeutic strategies, have been investigated by molecular imaging. As the number of radioligands grows, careful investigation of the binding properties and added-value of imaging should be prioritized to identify high-potential probes and facilitate translation to clinical applications. In this review, we discuss the current state of molecular imaging in cardiovascular medicine, and the challenges and opportunities ahead for cardiovascular molecular imaging to navigate the path from diagnosis to prognosis to personalized medicine.
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Registered trials
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.