Evidence map›Paper›PMID 28066807›Full record

ArticleTomography (Ann Arbor, Mich.)2016

Evaluation of Cross-Calibrated

Darrin W Byrd, Robert K Doot, Keith C Allberg, Lawrence R MacDonald, Wendy A McDougald, Brian F Elston, Hannah M Linden, Paul E Kinahan

Abstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Trial
  2. Trial
  3. Article
  4. Article
  5. Repeatability ofEJNMMI research · 2024
    Article
  6. Review
  7. Review
  8. Test-Retest Reproducibility ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2019
    Article
  9. Article
  10. Article
  11. Article
  12. Qualification of National Cancer Institute-Designated Cancer Centers for Quantitative PET/CT Imaging in Clinical Trials.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2017
    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

8 authors.

Darrin W ByrdDepartment of Radiology, University of Washington, Seattle, Washington.
Robert K DootDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Keith C AllbergRadQual, LLC., Weare, New Hampshire.
Lawrence R MacDonaldDepartment of Radiology, University of Washington, Seattle, Washington.
Wendy A McDougaldDepartment of Radiology, University of Washington, Seattle, Washington.
Brian F ElstonDepartment of Radiology, University of Washington, Seattle, Washington.
Hannah M LindenDivision of Medical Oncology, University of Washington, Seattle, Washington.
Paul E KinahanDepartment of Radiology, University of Washington, Seattle, Washington.

Funding

Advanced PET/CT Imaging for Improving Clinical TrialsU01CA148131 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E., LINDEN, HANNAH M · 2010 to 2019
$6.0M
Patient-specific predictive modeling that integrates advanced cancer imagingR01CA164371 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E., SWANSON, KRISTIN R · 2011 to 2015
$4.5M
Enabling Ultra Low Dose PET/CT ImagingR01CA160253 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E. · 2011 to 2015
$3.5M
Quantitative PET/CT Oncology ImagingR01CA115870 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E. · 2006 to 2010
$1.6M
Calibrated Methods for Quantitative PET/CT Imaging Phase IIR42CA167907 · NCI · KITWARE, INC. · PI ENQUOBAHRIE, ANDINET ASMAMAW, KINAHAN, PAUL E. · 2015 to 2016
$1.5M
NCI NIH HHS R01 CA115870NCI NIH HHS R01 CA160253NCI NIH HHS R01 CA164371NCI NIH HHS R42 CA167907NCI NIH HHS U01 CA148131
6 · The paper itself

Abstract

Quantitative PET imaging is an important tool for clinical trials evaluating the response of cancers to investigational therapies. The standardized uptake value, used as a quantitative imaging biomarker, is dependent on multiple parameters that may contribute bias and variability. The use of long-lived, sealed PET calibration phantoms offers the advantages of known radioactivity activity concentration and simpler use than aqueous phantoms. We evaluated scanner and dose calibrator sources from two batches of commercially available kits, together at a single site and distributed across a local multicenter PET imaging network. We found that radioactivity concentration was uniform within the phantoms. Within the regions of interest drawn in the phantom images, coefficients of variation of voxel values were less than 2%. Across phantoms, coefficients of variation for mean signal were close to 1%. Biases of the standardized uptake value estimated with the kits varied by site and were seen to change in time by approximately ±5%. We conclude that these biases cannot be assumed constant over time. The kits provide a robust method to monitor PET scanner and dose calibrator biases, and resulting biases in standardized uptake values.

Indexed as

PET calibrationphantomsquantitative imaging

Identifiers

PMID28066807
PMCPMC5214172

What OpenQuestion holds

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LicenceCC BY
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.