Evidence map›Paper›PMID 24312149›Full record

ReviewTheranostics2013

Methodology for quantitative rapid multi-tracer PET tumor characterizations.

Dan J Kadrmas, John M Hoffman

Open access · goldAbstract readReview
In one paragraph

Review in Theranostics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

32 citing papers in PubMed, 64 citations in OpenAlex.

  1. Trial
  2. Monitoring early response to chemoradiotherapy withEuropean journal of nuclear medicine and molecular imaging · 2017
    Trial
  3. Review
  4. Separation of simultaneously acquired [European journal of nuclear medicine and molecular imaging · 2026
    Article
  5. Review
  6. Technical evaluation of immediate back-to-back rest-stress positron emission tomography scanning withJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2025
    Article
  7. Salivary biomarkers: a promising approach for predicting immunotherapy response in head and neck cancers.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Advances and challenges in immunoPET methodology.Frontiers in nuclear medicine · 2024
    Review
  15. Review
  16. Article
  17. Review
  18. Impact of residual subtraction on myocardial blood flow and reserve estimates from rapid dynamic PET protocols.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  19. Simultaneous radiomethylation of [Scientific reports · 2022
    Article
  20. Review
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 at 1 institution in 1 country.

Dan J Kadrmas1. Utah Center for Advanced Imaging Research, Department of Radiology; ; 2. Molecular Imaging Program, Huntsman Cancer Institute, University of Utah.
John M Hoffman
Advanced Imaging Research (United States) · US

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
Multi-Tracer PET Tumor ImagingR01CA135556 · NCI · UNIVERSITY OF UTAH · PI KADRMAS, DAN J · 2009 to 2017
$2.8M
NCI NIH HHS 3P30 CA042014NCI NIH HHS P30 CA042014NCI NIH HHS R01 CA135556
6 · The paper itself

Abstract

Positron emission tomography (PET) can image a wide variety of functional and physiological parameters in vivo using different radiotracers. As more is learned about the molecular basis for disease and treatment, the potential value of molecular imaging for characterizing and monitoring disease status has increased. Characterizing multiple aspects of tumor physiology by imaging multiple PET tracers in a single patient provides additional complementary information, and there is a significant body of literature supporting the potential value of multi-tracer PET imaging in oncology. However, imaging multiple PET tracers in a single patient presents a number of challenges. A number of techniques are under development for rapidly imaging multiple PET tracers in a single scan, where signal-recovery processing algorithms are employed to recover various imaging endpoints for each tracer. Dynamic imaging is generally used with tracer injections staggered in time, and kinetic constraints are utilized to estimate each tracers' contribution to the multi-tracer imaging signal. This article summarizes past and ongoing work in multi-tracer PET tumor imaging, and then organizes and describes the main algorithmic approaches for achieving multi-tracer PET signal-recovery. While significant advances have been made, the complexity of the approach necessitates protocol design, optimization, and testing for each particular tracer combination and application. Rapid multi-tracer PET techniques have great potential for both research and clinical cancer imaging applications, and continued research in this area is warranted.

Indexed as

RadioisotopesHumansImage Processing, Computer-AssistedNeoplasmsPositron-Emission TomographyRadioisotopesPET tracersTumor Characterizations

Identifiers

PMID24312149
PMCPMC3840410
OpenAlexW2035517438

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.