Evidence map›Paper›PMID 25849544›Full record

ArticlePloS one2015

GATE validation of standard dual energy corrections in small animal SPECT-CT.

Sanghyeb Lee, Jens Gregor, Stephen J Kennel, Dustin R Osborne, Jonathan Wall

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Sanghyeb LeeDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996 USA; Department of Radiology, Graduate School of Medicine, University of Tennessee, Knoxville, TN 37920 USA.
Jens GregorDepartment of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996 USA.
Stephen J KennelDepartment of Radiology, Graduate School of Medicine, University of Tennessee, Knoxville, TN 37920 USA; Department of Medicine, Graduate School of Medicine, University of Tennessee, Knoxville, TN 37920 USA.
Dustin R OsborneDepartment of Radiology, Graduate School of Medicine, University of Tennessee, Knoxville, TN 37920 USA.
Jonathan WallDepartment of Radiology, Graduate School of Medicine, University of Tennessee, Knoxville, TN 37920 USA; Department of Medicine, Graduate School of Medicine, University of Tennessee, Knoxville, TN 37920 USA.
University of Tennessee at Knoxville · US

Funding

Preclinical Diagnostic Imaging of AmyloidR01DK079984 · NIDDK · UNIVERSITY OF TENNESSEE KNOXVILLE · PI WALL, JONATHAN S · 2009 to 2016
$3.4M
NIDDK NIH HHS 1R01DK079984NIDDK NIH HHS R01 DK079984
6 · The paper itself

Abstract

This paper addresses 123I and 125I dual isotope SPECT imaging, which can be challenging because of spectrum overlap in the low energy spectrums of these isotopes. We first quantify the contribution of low-energy photons from each isotope using GATE-based Monte Carlo simulations for the MOBY mouse phantom. We then describe and analyze a simple, but effective method that uses the ratio of detected low and high energy 123I activity to separate the mixed low energy 123I and 125I activities. Performance is compared with correction methods used in conventional tissue biodistribution techniques. The results indicate that the spectrum overlap effects can be significantly reduced, if not entirely eliminated, when attenuation and scatter is either absent or corrected for using standard methods. In particular, we show that relative activity levels of the two isotopes can be accurately estimated for a wide range of organs and provide quantitative validation that standard methods for spectrum overlap correction provide reasonable estimates for reasonable corrections in small-animal SPECT/CT imaging.

Indexed as

AmyloidosisAnimalsDisease Models, AnimalMiceMonte Carlo MethodPhantoms, ImagingTomography, Emission-Computed, Single-Photon

Identifiers

PMID25849544
PMCPMC4388517
OpenAlexW2014692124

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.