Evidence map›Paper›PMID 27175009›Full record

ArticleMolecular imaging2016

Evaluation of a BGO-Based PET System for Single-Cell Tracking Performance by Simulation and Phantom Studies.

Yu Ouyang, Tae Jin Kim, Guillem Pratx

Abstract read
In one paragraph

Article in Molecular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Single-Cell PET Imaging and Tracking.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  4. Review
  5. Performance of Dual-Ended Readout PET Detectors Based on BGO Arrays and BaSOIEEE transactions on radiation and plasma medical sciences · 2022
    Article
  6. Article
  7. The reduction ofPhysics in medicine and biology · 2020
    Article
  8. Article
  9. Article
  10. 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

3 authors.

Yu OuyangRadiation Biophysics Laboratory, Department of Radiation Oncology, Stanford University, Palo Alto, CA, USA.
Tae Jin KimRadiation Biophysics Laboratory, Department of Radiation Oncology, Stanford University, Palo Alto, CA, USA.
Guillem PratxRadiation Biophysics Laboratory, Department of Radiation Oncology, Stanford University, Palo Alto, CA, USA pratx@stanford.edu.

Funding

Postdoctoral Training in the Radiation ScincesT32CA121940 · NCI · STANFORD UNIVERSITY · PI GRAVES, EDWARD E. · 2007 to 2018
$2.1M
Real-time tracking of single cells in live animalsR21HL127900 · NHLBI · STANFORD UNIVERSITY · PI PRATX, GUILLEM · 2014 to 2015
$442k
NCI NIH HHS 5T32CA121940NCI NIH HHS T32 CA121940NHLBI NIH HHS R21 HL127900NHLBI NIH HHS R21HL127900
6 · The paper itself

Abstract

A recent method based on positron emission was reported for tracking moving point sources using the Inveon PET system. However, the effect of scanner background noise was not further explored. Here, we evaluate tracking with the Genisys4, a bismuth germanate-based PET system, which has no significant intrinsic background and may be better suited to tracking lower and/or faster activity sources. Position-dependent sensitivity of the Genisys4 was simulated in Geant4 Application for Tomographic Emission (GATE) using a static (18)F point source. Trajectories of helically moving point sources with varying activity and rotation speed were reconstructed from list-mode data as described previously. Simulations showed that the Inveon's ability to track sources within 2 mm of localization error is limited to objects with a velocity-to-activity ratio < 0.13 mm/decay, compared to < 0.29 mm/decay for the Genisys4. Tracking with the Genisys4 was then validated using a physical phantom of helically moving [(18)F] fluorodeoxyglucose-in-oil droplets (< 0.24 mm diameter, 139-296 Bq), yielding < 1 mm localization error under the tested conditions, with good agreement between simulated sensitivity and measured activity (Pearson correlation R = .64, P << .05 in a representative example). We have investigated the tracking performance with the Genisys4, and results suggest the feasibility of tracking low activity, point source-like objects with this system.

Indexed as

Phantoms, ImagingCell TrackingComputer SimulationEvaluation Studies as TopicMonte Carlo MethodPositron-Emission Tomographycell trackingGATE simulationpositron emissionpreclinical imagingsingle cell

Identifiers

PMID27175009
PMCPMC5293205

What OpenQuestion holds

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LicenceCC BY-NC
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.