Evidence map›Paper›PMID 37786997›Full record

ReviewThe British journal of radiology2023

The clinical value of quantitative cardiovascular molecular imaging: a step towards precision medicine.

Hendrea Sanne Aletta Tingen, Gijs D van Praagh, Pieter H Nienhuis, Alwin Tubben, Nick D van Rijsewijk, Derk Ten Hove, Nouf A Mushari, T Samara Martinez-Lucio, Oscar I Mendoza-Ibañez, Joyce van Sluis and 3 more

Open access · hybridAbstract readReview
In one paragraph

Review in The British journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Radiomics with Clinical Data and [Diagnostics (Basel, Switzerland) · 2025
    Article
  4. Article
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 at 2 institutions in 2 countries.

Hendrea Sanne Aletta TingenDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, Groningen, The Netherlands.ORCID 0000-0002-8572-9428
Gijs D van PraaghDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, Groningen, The Netherlands.
Pieter H NienhuisDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, Groningen, The Netherlands.
Alwin TubbenDepartment of Cardiology, University Medical Centre Groningen, Groningen, The Netherlands.
Nick D van RijsewijkDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, Groningen, The Netherlands.
Derk Ten HoveDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, Groningen, The Netherlands.
Nouf A MushariLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
T Samara Martinez-LucioDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, Groningen, The Netherlands.
Oscar I Mendoza-IbañezDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, Groningen, The Netherlands.
Joyce van SluisDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, Groningen, The Netherlands.
Charalampos TsoumpasDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, Groningen, The Netherlands.
Andor W J M GlaudemansDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, Groningen, The Netherlands.
Riemer H J A SlartDepartment of Nuclear Medicine and Molecular Imaging, University Medical Centre Groningen, Groningen, The Netherlands.
University Medical Center Groningen · NLUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVD) are the leading cause of death worldwide and have an increasing impact on society. Precision medicine, in which optimal care is identified for an individual or a group of individuals rather than for the average population, might provide significant health benefits for this patient group and decrease CVD morbidity and mortality. Molecular imaging provides the opportunity to assess biological processes in individuals in addition to anatomical context provided by other imaging modalities and could prove to be essential in the implementation of precision medicine in CVD. New developments in single-photon emission computed tomography (SPECT) and positron emission tomography (PET) systems, combined with rapid innovations in promising and specific radiopharmaceuticals, provide an impressive improvement of diagnostic accuracy and therapy evaluation. This may result in improved health outcomes in CVD patients, thereby reducing societal impact. Furthermore, recent technical advances have led to new possibilities for accurate image quantification, dynamic imaging, and quantification of radiotracer kinetics. This potentially allows for better evaluation of disease activity over time and treatment response monitoring. However, the clinical implementation of these new methods has been slow. This review describes the recent advances in molecular imaging and the clinical value of quantitative PET and SPECT in various fields in cardiovascular molecular imaging, such as atherosclerosis, myocardial perfusion and ischemia, infiltrative cardiomyopathies, systemic vascular diseases, and infectious cardiovascular diseases. Moreover, the challenges that need to be overcome to achieve clinical translation are addressed, and future directions are provided.

Indexed as

Cardiovascular DiseasesHeartHumansPositron-Emission TomographyPrecision MedicineRadiopharmaceuticalsTomography, Emission-Computed, Single-PhotonRadiopharmaceuticals

Identifiers

PMID37786997
PMCPMC10646628
OpenAlexW4387296342

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.