Evidence map›Paper›PMID 23022732›Full record

ArticlePhysics in medicine and biology2012

Advantages of a dual-tracer model over reference tissue models for binding potential measurement in tumors.

K M Tichauer, K S Samkoe, W S Klubben, T Hasan, B W Pogue

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 36 citations in OpenAlex.

  1. A multi-channel fluorescence endoscope for pre-operative assessment of epithelial ovarian cancer.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
  2. Dynamic Tracking ofMolecular pharmaceutics · 2025
    Article
  3. Article
  4. Advances and challenges in immunoPET methodology.Frontiers in nuclear medicine · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Paired-agent imaging as a rapidFrontiers in oncology · 2023
    Article
  9. Article
  10. Article
  11. Paired-agent imaging for detection of head and neck cancers.Proceedings of SPIE--the International Society for Optical Engineering · 2019
    Article
  12. Simultaneous extracellular and intracellular quantification of EGFR using paired-agent imaging in anProceedings of SPIE--the International Society for Optical Engineering · 2019
    Article
  13. Review
  14. Article
  15. Article
  16. Sensitivity Limits forInternational journal on magnetic particle imaging · 2017
    Article
  17. Review
  18. Article
  19. Article
  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

5 authors at 2 institutions in 1 country.

K M TichauerThayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA. kenneth.tichauer@dartmouth.edu
K S Samkoe
W S Klubben
T Hasan
B W Pogue
Dartmouth College · USMassachusetts General Hospital · US

Funding

Small Molecule Enhancers of Photodynamic Therapy for Skin CancerP01CA084203 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Bryan Quilty Spring · 2001 to 2026
$27.9M
Toxicology, Pathology and Biodistribution Core (TPB Core)U54CA151662 · NCI · DARTMOUTH COLLEGE · PI DEMIDENKO, EUGENE · 2010 to 2014
$11.6M
SPATIAL /SPECTRAL TOMOGRAPHY FOR FUNCTIONAL SPECTROSCOPYU54CA105480 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI TROMBERG, BRUCE J · 2003 to 2007
$6.6M
Fluorescence Imaging to Optimize Cancer TherapyR01CA109558 · NCI · DARTMOUTH COLLEGE · PI POGUE, BRIAN WILLIAM · 2005 to 2015
$2.8M
Targeted Photoactivable Nanocells: Image-based Drug Delivery and Dosimetry in GBMR01CA156177 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HASAN, TAYYABA, POGUE, BRIAN WILLIAM · 2011 to 2015
$2.5M
CIHRNCI NIH HHS P01 CA084203NCI NIH HHS P01CA84201NCI NIH HHS R01 CA109558NCI NIH HHS R01 CA156177NCI NIH HHS R01CA156177NCI NIH HHS U54 CA105480NCI NIH HHS U54 CA151662NCI NIH HHS U54CA151662
6 · The paper itself

Abstract

The quantification of tumor molecular expression in vivo could have a significant impact for informing and monitoring emerging targeted therapies in oncology. Molecular imaging of targeted tracers can be used to quantify receptor expression in the form of a binding potential (BP) if the arterial input curve or a surrogate of it is also measured. However, the assumptions of the most common approaches (reference tissue models) may not be valid for use in tumors. In this study, the validity of reference tissue models is investigated for use in tumors experimentally and in simulations. Three different tumor lines were grown subcutaneously in athymic mice and the mice were injected with a mixture of an epidermal growth factor receptor-targeted fluorescent tracer and an untargeted fluorescent tracer. A one-compartment plasma input model demonstrated that the transport kinetics of both tracers was significantly different between tumors and all potential reference tissues, and using the reference tissue model resulted in a theoretical underestimation in BP of 50% ± 37%. On the other hand, the targeted and untargeted tracers demonstrated similar transport kinetics, allowing a dual-tracer approach to be employed to accurately estimate BP (with a theoretical error of 0.23% ± 9.07%). These findings highlight the potential for using a dual-tracer approach to quantify receptor expression in tumors with abnormal hemodynamics, possibly to inform the choice or progress of molecular cancer therapies.

Indexed as

Models, BiologicalAnimalsBiological TransportCell Line, TumorMiceMolecular ImagingNeoplasmsProtein BindingRadioactive TracersRatsReference StandardsRadioactive Tracers

Identifiers

PMID23022732
PMCPMC3491648
OpenAlexW2033786440

What OpenQuestion holds

Textmetadata
LicenceTDM
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.