Evidence map›Paper›PMID 19956382›Full record

ArticleTranslational oncology2009

PET/CT Assessment of Response to Therapy: Tumor Change Measurement, Truth Data, and Error.

Paul E Kinahan, Robert K Doot, Michelle Wanner-Roybal, Luc M Bidaut, Samuel G Armato, Charles R Meyer, Geoffrey McLennan

Abstract read
In one paragraph

Article in Translational oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Review
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  12. Biomechanical model for computing deformations for whole-body image registration: A meshless approach.International journal for numerical methods in biomedical engineering · 2016
    Article
  13. Evaluation of Cross-CalibratedTomography (Ann Arbor, Mich.) · 2016
    Article
  14. Primary lung tumor segmentation from PET-CT volumes with spatial-topological constraint.International journal of computer assisted radiology and surgery · 2016
    Article
  15. Multimodality molecular imaging of the lung.Clinical and translational imaging · 2014
    Article
  16. Article
  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

7 authors.

Paul E KinahanDepartment of Radiology, University of Washington, Seattle, WA, USA.
Robert K Doot
Michelle Wanner-Roybal
Luc M Bidaut
Samuel G Armato
Charles R Meyer
Geoffrey McLennan

Funding

Strategies for Clinical Oncology Imaging with 3D PETR01CA074135 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E · 2003 to 2007
$1.7M
Quantitative PET/CT Oncology ImagingR01CA115870 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E. · 2006 to 2010
$1.6M
STRATEGIES FOR CLINICAL ONCOLOGY IMAGING WITH 3D PETR29CA074135 · NCI · UNIVERSITY OF WASHINGTON · PI KINAHAN, PAUL E · 1997 to 2001
$265k
NCI NIH HHS R01 CA074135NCI NIH HHS R01 CA115870NCI NIH HHS R29 CA074135
6 · The paper itself

Abstract

We describe methods and issues that are relevant to the measurement of change in tumor uptake of (18)F-fluorodeoxyglucose (FDG) or other radiotracers, as measured from positron emission tomography/computed tomography (PET/CT) images, and how this would relate to the establishment of PET/CT tumor imaging as a biomarker of patient response to therapy. The primary focus is on the uptake of FDG by lung tumors, but the approach can be applied to diseases other than lung cancer and to tracers other than FDG. The first issue addressed is the sources of bias and variance in the measurement of tumor uptake of FDG, and where there are still gaps in our knowledge. These are discussed in the context of measurement variation and how these would relate to the early detection of response to therapy. Some of the research efforts currently underway to identify the magnitude of some of these sources of error are described. In addition, we describe resources for these investigations that are being made available through the Reference Image Database for the Evaluation of Response project. Measures derived from PET image data that might be predictive of patient response as well as the additional issues that each of these metrics may encounter are described briefly. The relationship between individual patient response to therapy and utility for multicenter trials is discussed. We conclude with a discussion of moving from assessing measurement variation to the steps necessary to establish the efficacy of PET/CT imaging as a biomarker for response.

Identifiers

PMID19956382
PMCPMC2781074

What OpenQuestion holds

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Registered trials

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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.