Evidence map›Paper›PMID 23099865›Full record

ArticleInsights into imaging2011

The future of hybrid imaging-part 2: PET/CT.

Thomas Beyer, David W Townsend, Johannes Czernin, Lutz S Freudenberg

Abstract read
In one paragraph

Article in Insights into imaging, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Energy metabolism in health and diseases.Signal transduction and targeted therapy · 2025
    Review
  3. Review
  4. Review
  5. Review
  6. Dynamic PET imaging with ultra-low-activity ofEuropean journal of nuclear medicine and molecular imaging · 2021
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Self-assembling supramolecular dendrimer nanosystem for PET imaging of tumors.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Article
  13. Article
  14. Variations in PET/MRI Operations: Results from an International Survey Among 39 Active Sites.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2016
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Radiation risk and protection of patients in clinical SPECT/CT.European journal of nuclear medicine and molecular imaging · 2014
    Review
  20. 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

4 authors.

Thomas Beyercmi-experts GmbH, Pestalozzistr. 3, 8032, Zürich, Switzerland, thomas.beyer@cmi-experts.com.
David W Townsend
Johannes Czernin
Lutz S Freudenberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the 1990s, hybrid imaging by means of software and hardware image fusion alike allows the intrinsic combination of functional and anatomical image information. This review summarises the state-of-the-art of dual-modality imaging with a focus on clinical applications. We highlight selected areas for potential improvement of combined imaging technologies and new applications. In the second part, we briefly review the background of dual-modality PET/CT imaging, discuss its main applications and attempt to predict technological and methodological improvements of combined PET/CT imaging. After a decade of clinical evaluation, PET/CT will continue to have a significant impact on patient management, mainly in the area of oncological diseases. By adopting more innovative acquisition schemes and data processing PET/CT will become a fast and dose-efficient imaging method and an integral part of state-of-the-art clinical patient management.

Identifiers

PMID23099865
PMCPMC3288992

What OpenQuestion holds

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LicenceCC BY-NC
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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.