Evidence map›Paper›PMID 25229053›Full record

ArticleClinical and translational imaging2014

Role of PET quantitation in the monitoring of cancer response to treatment: Review of approaches and human clinical trials.

Robert K Doot, Elizabeth S McDonald, David A Mankoff

Open access · bronzeAbstract read
In one paragraph

Article in Clinical and translational imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. A shortEJNMMI research · 2024
    Article
  3. Abbreviated scan protocols to captureEuropean journal of nuclear medicine and molecular imaging · 2022
    Article
  4. PET Use in Cancer Diagnosis, Treatment, and Prognosis.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. What Do We Measure in Oncology PET?Nuclear medicine and molecular imaging · 2017
    Review
  10. Article
  11. Article
  12. Development of Companion Diagnostics.Seminars in nuclear medicine · 2016
    Review
  13. Article
  14. The Value of Establishing the Quantitative Accuracy of PET/CT Imaging.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2015
    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

3 authors at 1 institution in 1 country.

Robert K DootDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Elizabeth S McDonaldDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
David A MankoffDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
University of Pennsylvania · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
PET to Measure Breast Cancer Bone Metastasis ResponseR01CA124573 · NCI · UNIVERSITY OF WASHINGTON · PI SPECHT, JENNIFER MARIE · 2007 to 2011
$1.8M
NCI NIH HHS P30 CA016520NCI NIH HHS R01 CA124573
6 · The paper itself

Abstract

Positron emission tomography (PET) measures of cancer metabolism and cellular proliferation are increasingly being studied as markers of cancer response to treatment, with the goal of using them as predictors of patient therapeutic outcomes - i.e., as surrogate outcome measures. The primary PET radiotracers thus far used for monitoring response of cancer to treatment are

Indexed as

monitoring treatmentPETquantitative imagingresponse to therapy

Identifiers

PMID25229053
PMCPMC4163151
OpenAlexW2015483865

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.