Evidence map›Paper›PMID 26643024›Full record

ReviewAnnual review of biomedical engineering2015

Positron Emission Tomography: Current Challenges and Opportunities for Technological Advances in Clinical and Preclinical Imaging Systems.

Juan José Vaquero, Paul Kinahan

Abstract readReview
In one paragraph

Review in Annual review of biomedical engineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 2 pooled it
–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

150 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Recent advances in [Nuclear medicine and biology · 2026
    Review
  5. Article
  6. Immuno-positron emission tomography in cardiovascular disease: Advances, challenges, and opportunities.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2026
    Review
  7. Article
  8. Review
  9. Article
  10. Development of a Prototype AWSM-PET Device for Augmented Whole-Body PET Imaging and Initial Human Study.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Optimal filtering strategies for task-specific functional PET imaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025
    Article
  18. Review
  19. Review
  20. Review

90 more citing papers are in PubMed but not listed here.

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

2 authors.

Juan José VaqueroDepartamento de Bioingeniería e Ingeniería Aeroespacial, Universidad Carlos III de Madrid, 28911 Madrid, Spain, and Instituto de Investigación Sanitaria Gregorio Marañón, 28007 Madrid, Spain; email: juanjose.vaquero@uc3m.es.
Paul KinahanDepartments of Radiology, Bioengineering, and Physics, University of Washington, Seattle, Washington 98195; email: kinahan@uw.edu.

Funding

Advanced PET/CT Imaging for Improving Clinical TrialsU01CA148131 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E., LINDEN, HANNAH M · 2010 to 2019
$6.0M
Tumor Detection &Quantitation with Emission TomographyR01CA042593 · NCI · UNIVERSITY OF WASHINGTON · PI LEWELLEN, THOMAS K · 1987 to 2016
$5.5M
Patient-specific predictive modeling that integrates advanced cancer imagingR01CA164371 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E., SWANSON, KRISTIN R · 2011 to 2015
$4.5M
Enabling Ultra Low Dose PET/CT ImagingR01CA160253 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E. · 2011 to 2015
$3.5M
Harmonized PET Reconstructions for Cancer Clinical TrialsR01CA169072 · NCI · UNIVERSITY OF IOWA · PI KARP, JOEL S, KINAHAN, PAUL E. · 2012 to 2016
$2.4M
NCI NIH HHS R01 CA042593NCI NIH HHS R01-CA042593NCI NIH HHS R01 CA160253NCI NIH HHS R01CA160253NCI NIH HHS R01 CA164371NCI NIH HHS R01CA164371NCI NIH HHS R01 CA169072NCI NIH HHS R01CA169072NCI NIH HHS U01 CA148131NCI NIH HHS U01-CA148131
6 · The paper itself

Abstract

Positron emission tomography (PET) imaging is based on detecting two time-coincident high-energy photons from the emission of a positron-emitting radioisotope. The physics of the emission, and the detection of the coincident photons, give PET imaging unique capabilities for both very high sensitivity and accurate estimation of the in vivo concentration of the radiotracer. PET imaging has been widely adopted as an important clinical modality for oncological, cardiovascular, and neurological applications. PET imaging has also become an important tool in preclinical studies, particularly for investigating murine models of disease and other small-animal models. However, there are several challenges to using PET imaging systems. These include the fundamental trade-offs between resolution and noise, the quantitative accuracy of the measurements, and integration with X-ray computed tomography and magnetic resonance imaging. In this article, we review how researchers and industry are addressing these challenges.

Indexed as

AlgorithmsAnimalsBiomedical EngineeringBiophysical PhenomenaHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyScattering, RadiationTomography, X-Ray Computedmultimodality kinetic modelingPET/CTPET/MRIsilicon photomultiplierssystem modeltomographic image reconstruction

Identifiers

PMID26643024
PMCPMC5299095

What OpenQuestion holds

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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.