Evidence map›Paper›PMID 26134619›Full record

ReviewPhysics in medicine and biology2015

Quantitative in vivo cell-surface receptor imaging in oncology: kinetic modeling and paired-agent principles from nuclear medicine and optical imaging.

Kenneth M Tichauer, Yu Wang, Brian W Pogue, Jonathan T C Liu

Abstract readReview
In one paragraph

Review in Physics in medicine and biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
11.6field-weighted citation impact, top 1% 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

54 citing papers in PubMed, 92 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. A multi-channel fluorescence endoscope for pre-operative assessment of epithelial ovarian cancer.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
  5. Article
  6. Article
  7. Theranostics · 2024
    Article
  8. Advances and challenges in immunoPET methodology.Frontiers in nuclear medicine · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Optical Biosensors for Virus Detection: Prospects for SARS-CoV-2/COVID-19.Chembiochem : a European journal of chemical biology · 2021
    Review
  19. 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 at 3 institutions in 1 country.

Kenneth M TichauerBiomedical Engineering, Illinois Institute of Technology, Chicago IL 60616, USA.
Yu WangMechanical Engineering, University of Washington, Seattle WA 98195, USA.
Brian W PogueThayer School of Engineering, Dartmouth College, Hanover NH 03755, USA.
Jonathan T C LiuMechanical Engineering, University of Washington, Seattle WA 98195, USA.
University of Washington · USDartmouth College · USIllinois Institute of Technology · US

Funding

Small Molecule Enhancers of Photodynamic Therapy for Skin CancerP01CA084203 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Bryan Quilty Spring · 2001 to 2026
$27.9M
Molecular Fluorescence-Guided Surgery PlatformR01CA167413 · NCI · DARTMOUTH COLLEGE · PI PAULSEN, KEITH D., SAMKOE, KIMBERLEY · 2013 to 2025
$5.7M
Fluorescence Imaging to Optimize Cancer TherapyR01CA109558 · NCI · DARTMOUTH COLLEGE · PI POGUE, BRIAN WILLIAM · 2005 to 2015
$2.8M
Endoscopic molecular imaging of esophageal cancer with multiplexed Raman nanopartR21EB015016 · NIBIB · UNIVERSITY OF WASHINGTON · PI LIU, JONATHAN T.C. · 2013 to 2014
$493k
NCI NIH HHS P01 CA084203NCI NIH HHS R01 CA109558NCI NIH HHS R01 CA167413NIBIB NIH HHS R21 EB015016
6 · The paper itself

Abstract

The development of methods to accurately quantify cell-surface receptors in living tissues would have a seminal impact in oncology. For example, accurate measures of receptor density in vivo could enhance early detection or surgical resection of tumors via protein-based contrast, allowing removal of cancer with high phenotype specificity. Alternatively, accurate receptor expression estimation could be used as a biomarker to guide patient-specific clinical oncology targeting of the same molecular pathway. Unfortunately, conventional molecular contrast-based imaging approaches are not well adapted to accurately estimating the nanomolar-level cell-surface receptor concentrations in tumors, as most images are dominated by nonspecific sources of contrast such as high vascular permeability and lymphatic inhibition. This article reviews approaches for overcoming these limitations based upon tracer kinetic modeling and the use of emerging protocols to estimate binding potential and the related receptor concentration. Methods such as using single time point imaging or a reference-tissue approach tend to have low accuracy in tumors, whereas paired-agent methods or advanced kinetic analyses are more promising to eliminate the dominance of interstitial space in the signals. Nuclear medicine and optical molecular imaging are the primary modalities used, as they have the nanomolar level sensitivity needed to quantify cell-surface receptor concentrations present in tissue, although each likely has a different clinical niche.

Indexed as

Models, BiologicalAnimalsHumansNeoplasmsNuclear MedicineOptical ImagingRadionuclide ImagingRadiopharmaceuticalsReceptors, Cell SurfaceRadiopharmaceuticalsReceptors, Cell Surface

Identifiers

PMID26134619
PMCPMC4522156
OpenAlexW2153357056

What OpenQuestion holds

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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.