Evidence map›Paper›PMID 25392718›Full record

ArticleThe annals of applied statistics2014

VOXEL-LEVEL MAPPING OF TRACER KINETICS IN PET STUDIES: A STATISTICAL APPROACH EMPHASIZING TISSUE LIFE TABLES.

Finbarr O'Sullivan, Mark Muzi, David A Mankoff, Janet F Eary, Alexander M Spence, Kenneth A Krohn

Open access · greenAbstract read
In one paragraph

Article in The annals of applied statistics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. MappingJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  3. Article
  4. Quantitation of dynamic total-body PET imaging: recent developments and future perspectives.European journal of nuclear medicine and molecular imaging · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Imaging Cancer Metabolism: Underlying Biology and Emerging Strategies.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2018
    Review
  11. Assessment of a statistical AIF extraction method for dynamic PET studies withJournal of medical imaging (Bellingham, Wash.) · 2018
    Article
  12. Article
  13. A Functional Approach to Deconvolve Dynamic Neuroimaging Data.Journal of the American Statistical Association · 2016
    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

6 authors at 2 institutions in 1 country.

Finbarr O'SullivanUniversity College Cork.
Mark MuziUniversity of Washington.
David A MankoffUniversity of Pennsylvania.
Janet F EaryUniversity of Washington.
Alexander M SpenceUniversity of Washington.
Kenneth A KrohnUniversity of Washington.
University of Washington · USCalifornia University of Pennsylvania · US

Funding

RadiochemistryP01CA042045 · NCI · UNIVERSITY OF WASHINGTON · PI LINK, JEANNE MEYERS · 1986 to 2015
$23.2M
NCI NIH HHS P01 CA042045
6 · The paper itself

Abstract

Most radiotracers used in dynamic positron emission tomography (PET) scanning act in a linear time-invariant fashion so that the measured time-course data are a convolution between the time course of the tracer in the arterial supply and the local tissue impulse response, known as the tissue residue function. In statistical terms the residue is a life table for the transit time of injected radiotracer atoms. The residue provides a description of the tracer kinetic information measurable by a dynamic PET scan. Decomposition of the residue function allows separation of rapid vascular kinetics from slower blood-tissue exchanges and tissue retention. For voxel-level analysis, we propose that residues be modeled by mixtures of nonparametrically derived basis residues obtained by segmentation of the full data volume. Spatial and temporal aspects of diagnostics associated with voxel-level model fitting are emphasized. Illustrative examples, some involving cancer imaging studies, are presented. Data from cerebral PET scanning with

Indexed as

Kinetic analysislife-tablemixture modelingPET

Identifiers

PMID25392718
PMCPMC4225726
OpenAlexW2952668698

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.