Evidence map›Paper›PMID 18712733›Full record

ReviewInternational journal of cancer2008

Optical contrast agents and imaging systems for detection and diagnosis of cancer.

Mark C Pierce, David J Javier, Rebecca Richards-Kortum

Abstract readReview
In one paragraph

Review in International journal of cancer, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing 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

98 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Stimuli-Responsive Materials for Biomedical Applications.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Antitumor Effects of MicroencapsulatedMaterials (Basel, Switzerland) · 2023
    Article
  15. Article
  16. Review
  17. Review
  18. Harnessing non-destructive 3D pathology.Nature biomedical engineering · 2021
    Review
  19. Antibody-Targeted Imaging of Gastric Cancer.Molecules (Basel, Switzerland) · 2020
    Review
  20. Article

38 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

3 authors.

Mark C PierceDepartment of Bioengineering, Rice University, Houston, TX, USA.
David J Javier
Rebecca Richards-Kortum

Funding

Optical Systems for In Vivo Molecular Imaging of CancerR01CA103830 · NCI · UNIVERSITY OF TEXAS AUSTIN · PI RICHARDS-KORTUM, REBECCA R. · 2004 to 2015
$12.4M
NCI NIH HHS 5R01CA103830NCI NIH HHS R01 CA103830
6 · The paper itself

Abstract

Molecular imaging has rapidly emerged as a discipline with the potential to impact fundamental biomedical research and clinical practice. Within this field, optical imaging offers several unique capabilities, based on the ability of cells and tissues to effect quantifiable changes in the properties of visible and near-infrared light. Beyond endogenous optical properties, the development of molecularly targeted contrast agents enables disease-specific morphologic and biochemical processes to be labeled with unique optical signatures. Optical imaging systems can then provide real-time visualization of pathophysiology at spatial scales from the subcellular to whole organ levels. In this article, we review fundamental techniques and recent developments in optical molecular imaging, emphasizing laboratory and clinical systems that aim to visualize the microscopic and macroscopic hallmarks of cancer.

Indexed as

Contrast MediaDiagnostic ImagingEndoscopyHumansMicroscopy, ConfocalMicroscopy, Fluorescence, MultiphotonNanoparticlesNeoplasmsTomography, Optical CoherenceContrast Media

Identifiers

PMID18712733
PMCPMC2902964

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.