Evidence map›Paper›PMID 33163753›Full record

ArticleIEEE transactions on radiation and plasma medical sciences2020

Impact of Using Uniform Attenuation Coefficients for Heterogeneously Dense Breasts in a Dedicated Breast PET/X-ray Scanner.

Lawrence R MacDonald, Joseph Y Lo, Gregory M Sturgeon, Chengeng Zeng, Robert L Harrison, Paul E Kinahan, William Paul Segars

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE transactions on radiation and plasma medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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 at 2 institutions in 1 country.

Lawrence R MacDonaldUniversity of Washington Radiology Department, Seattle, WA 98195.
Joseph Y LoCarl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC 27705.
Gregory M SturgeonCarl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC 27705.
Chengeng ZengUniversity of Washington Radiology Department, Seattle, WA 98195.
Robert L HarrisonUniversity of Washington Radiology Department, Seattle, WA 98195.
Paul E KinahanUniversity of Washington Radiology Department, Seattle, WA 98195.
William Paul SegarsCarl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC 27705.
University of Washington · USDuke University · US

Funding

Time-of-Flight PET for Improved Whole-Body ImagingR01CA113941 · NCI · UNIVERSITY OF PENNSYLVANIA · PI JOEL S KARP, Suleman Surti · 2006 to 2026
$9.8M
High Performance, Quantitative Breast PET Scanner Integrated With TomosynthesisR01CA196528 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ANDREW DOUGLAS ARNOLD MAIDMENT, Suleman Surti · 2016 to 2026
$5.9M
Breast PETX: Mammography Machine PET Scanner with Biopsy GuidanceR01CA163498 · NCI · UNIVERSITY OF WASHINGTON · PI MACDONALD, LAWRENCE R · 2012 to 2016
$3.0M
3D Digital Breast Phantoms For Multimodality ResearchR01CA134658 · NCI · DUKE UNIVERSITY · PI SEGARS, WILLIAM P · 2010 to 2013
$1.3M
NCI NIH HHS R01 CA134658NCI NIH HHS R01 CA163498NCI NIH HHS R01 CA196528
6 · The paper itself

Abstract

We investigated PET image quantification when using a uniform attenuation coefficient (

Indexed as

Attenuation correctionBreast PETPositron Emission TomographyQuantitative PETSimulation

Identifiers

PMID33163753
PMCPMC7643852
OpenAlexW3021288012

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.