Evidence map›Paper›PMID 28063068›Full record

ArticleEJNMMI physics2017

Accuracy of

Carlos F Uribe, Pedro L Esquinas, Jesse Tanguay, Marjorie Gonzalez, Emilie Gaudin, Jean-Mathieu Beauregard, Anna Celler

Open access · goldAbstract read
In one paragraph

Article in EJNMMI physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
7.7field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 74 citations in OpenAlex.

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  12. QuantitativeEJNMMI physics · 2023
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  14. Theranostics and Patient-Specific Dosimetry.Seminars in radiation oncology · 2023
    Review
  15. Toward Single-Time-Point Image-Based Dosimetry ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
  16. Article
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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 3 institutions in 1 country.

Carlos F UribeMedical Imaging Research Group, Department of Radiology, University of British Columbia, Vancouver, British Colombia, Canada. curibe@bccrc.ca.
Pedro L EsquinasMedical Imaging Research Group, Department of Radiology, University of British Columbia, Vancouver, British Colombia, Canada.
Jesse TanguayMedical Imaging Research Group, Department of Radiology, University of British Columbia, Vancouver, British Colombia, Canada.
Marjorie GonzalezVancouver Coastal Health Authority, Vancouver, British Colombia, Canada.
Emilie GaudinDepartment of Physics, Engineering Physics and Optics, Université Laval, Quebec City, Quebec, Canada.
Jean-Mathieu BeauregardDepartment of Medical Imaging, CHU de Quebec-Université Laval, Quebec City, Quebec, Canada.
Anna CellerMedical Imaging Research Group, Department of Radiology, University of British Columbia, Vancouver, British Colombia, Canada.
University of British Columbia · CAUniversité Laval · CAVancouver Coastal Health · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the study is to assess accuracy of activity quantification of

resultsQuantification error for scans in air was better for TEW scatter correction (<6%) than for APDI (<11%). This trend was reversed for scans in water (<10% for APDI and <14% for TEW). For hot water, the best results (<18% for small objects and <5% for objects >100 ml) were obtained when APDI and IADT were used for scatter correction and segmentation, respectively. Additionally, we showed that planar acquisitions with scatter correction and tomographic scans provide similar CNF values. This is an important finding because planar acquisitions are easier to perform than tomographic scans. TEW and APDI resulted in similar quantification errors with APDI showing a small advantage for objects placed in medium with non-uniform density.

conclusionsFollowing the MIRD recommendations for data acquisition and reconstruction resulted in accurate activity quantification (errors <5% for large objects). However, techniques for better organ/tumor segmentation must still be developed.

Indexed as

177LuAPDIDosimetryQuantificationScatter correctionTEW

Identifiers

PMID28063068
PMCPMC5218957
OpenAlexW2570814392

What OpenQuestion holds

Textmetadata
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.