Evidence map›Paper›PMID 20639813›Full record

ReviewThe quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of...2010

Multimodality imaging of hypoxia in preclinical settings.

R P Mason, D Zhao, J Pacheco-Torres, W Cui, V D Kodibagkar, P K Gulaka, G Hao, P Thorpe, E W Hahn, P Peschke

Open access · greenAbstract readReview
In one paragraph

Review in The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of..., 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

33 citing papers in PubMed, 56 citations in OpenAlex.

  1. Hypoxia Imaging as a Radiomics Signature in Tumors Using NovelbioRxiv : the preprint server for biology · 2025
    Article
  2. Review
  3. Oxygen-Sensitive MRI: A Predictive Imaging Biomarker for Tumor Radiation Response?International journal of radiation oncology, biology, physics · 2021
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. The effect of flow on blood oxygen level dependent (RMagnetic resonance in medicine · 2019
    Article
  13. Article
  14. Examining correlations of oxygen sensitive MRI (BOLD/TOLD) with [American journal of nuclear medicine and molecular imaging · 2019
    Article
  15. Review
  16. Review
  17. Article
  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

10 authors at 2 institutions in 2 countries.

R P MasonDepartment of Radiology, U.T. Southwestern Medical Center, Dallas, TX 75390-9058, USA. ralph.mason@utsouthwestern.edu
D Zhao
J Pacheco-Torres
W Cui
V D Kodibagkar
P K Gulaka
G Hao
P Thorpe
E W Hahn
P Peschke
The University of Texas Southwestern Medical Center · USGerman Cancer Research Center · DE

Funding

YTTRIUM HYPERPOLARIZATIONP41RR002584 · NCRR · UT SOUTHWESTERN MEDICAL CENTER · PI MASON, RALPH P. · 1985 to 2011
$14.3M
UT Southwestern Small Animal Imaging ResourceU24CA126608 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MASON, RALPH P., SHERRY, DEAN · 2007 to 2011
$2.3M
Hypoxia and Radiotherapy: Evaluation and Mitigation in TumorsR01CA139043 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MASON, RALPH P. · 2010 to 2014
$1.6M
1H MRI based nanosensors for imaging tumor oxygenationR21CA132096 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI KODIBAGKAR, VIKRAM D. · 2009 to 2010
$380k
NCI NIH HHS 1R21 CA132096-01A1NCI NIH HHS R01 CA139043NCI NIH HHS R21 CA132096NCI NIH HHS U24 CA126608NCRR NIH HHS P41 RR002584NCRR NIH HHS P41 RR02584
6 · The paper itself

Abstract

Hypoxia has long been recognized to influence solid tumor response to therapy. Increasingly, hypoxia has also been implicated in tumor aggressiveness, including growth, development and metastatic potential. Thus, there is a fundamental, as well as a clinical interest, in assessing in situ tumor hypoxia. This review will examine diverse approaches focusing on the preclinical setting, particularly, in rodents. The strategies are inevitably a compromise in terms of sensitivity, precision, temporal and spatial resolution, as well as cost, feasibility, ease and robustness of implementation. We will review capabilities of multiple modalities and examine what makes them particularly suitable for investigating specific aspects of tumor pathophysiology. Current approaches range from nuclear imaging to magnetic resonance and optical, with varying degrees of invasiveness and ability to examine spatial heterogeneity, as well as dynamic response to interventions. Ideally, measurements would be non-invasive, exploiting endogenous reporters to reveal quantitatively local oxygen tension dynamics. A primary focus of this review is magnetic resonance imaging (MRI) based techniques, such as ¹⁹F MRI oximetry, which reveals not only hypoxia in vivo, but more significantly, spatial distribution of pO₂ quantitatively, with a precision relevant to radiobiology. It should be noted that preclinical methods may have very different criteria for acceptance, as compared with potential investigations for prognostic radiology or predictive biomarkers suitable for use in patients.

Indexed as

HypoxiaTumor MicroenvironmentAnimalsMolecular ImagingNeoplasms, ExperimentalOximetryRadionuclide Imaging

Identifiers

PMID20639813
PMCPMC3044928
OpenAlexW119541022

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.