Evidence map›Paper›PMID 38753750›Full record

ReviewCancer journal (Sudbury, Mass.)

PET Imaging of Metabolism, Perfusion, and Hypoxia: FDG and Beyond.

Austin R Pantel, Seong-Woo Bae, Elizabeth J Li, Sophia R O'Brien, H Charles Manning

Abstract readReview
In one paragraph

Review in Cancer journal (Sudbury, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Imaging the hallmarks of cancer.Nature reviews. Cancer · 2026
    Review
  2. Review
  3. Preliminary clinical investigation ofEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Targeting tumor transition windows.Exploration of targeted anti-tumor therapy · 2026
    Review
  8. 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

5 authors.

Austin R PantelFrom the Department of Radiology, University of Pennsylvania, Philadelphia, PA.
Seong-Woo BaeDepartment of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX.
Elizabeth J LiFrom the Department of Radiology, University of Pennsylvania, Philadelphia, PA.
Sophia R O'BrienFrom the Department of Radiology, University of Pennsylvania, Philadelphia, PA.
H Charles ManningDepartment of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX.

Funding

PET Imaging of Glutamine Metabolism and Glutamate Transport to Guide Metabolically Targeted Therapy in Triple-Negative Breast CancerR01CA266285 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DAVID A. MANKOFF, Rong Zhou · 2022 to 2026
$2.6M
NCI NIH HHS L30 CA232342NCI NIH HHS R01 CA266285
6 · The paper itself

Abstract

abstractImaging glucose metabolism with [18F]fluorodeoxyglucose positron emission tomography has transformed the diagnostic and treatment algorithms of numerous malignancies in clinical practice. The cancer phenotype, though, extends beyond dysregulation of this single pathway. Reprogramming of other pathways of metabolism, as well as altered perfusion and hypoxia, also typifies malignancy. These features provide other opportunities for imaging that have been developed and advanced into humans. In this review, we discuss imaging metabolism, perfusion, and hypoxia in cancer, focusing on the underlying biology to provide context. We conclude by highlighting the ability to image multiple facets of biology to better characterize cancer and guide targeted treatment.

Indexed as

Fluorodeoxyglucose F18NeoplasmsPositron-Emission TomographyHumansHypoxiaRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID38753750
PMCPMC11101148

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.