Evidence map›Paper›PMID 29956119›Full record

ArticleMolecular imaging and biology2019

Quantitative Analysis of Heterogeneous [

Mingzan Zhuang, Nicolas A Karakatsanis, Rudi A J O Dierckx, Habib Zaidi

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Molecular imaging and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Diagnostic Value of DynamicDiagnostics (Basel, Switzerland) · 2023
    Article
  6. Diagnostic value of dynamicQuantitative imaging in medicine and surgery · 2023
    Article
  7. Article
  8. Short 2-[Frontiers in medicine · 2021
    Article
  9. Review
  10. Article
  11. Article
  12. Does whole-body PatlakEuropean radiology · 2019
    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

4 authors.

Mingzan ZhuangDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, 9700 RB, Groningen, Groningen, Netherlands.
Nicolas A KarakatsanisDivision of Radiopharmaceutical Sciences, Department of Radiology, Weill Cornell Medical College, Cornell University, New York, NY, 10021, USA.
Rudi A J O DierckxDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, 9700 RB, Groningen, Groningen, Netherlands.
Habib ZaidiDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, 9700 RB, Groningen, Groningen, Netherlands. habib.zaidi@hcuge.ch.ORCID http://orcid.org/0000-0001-7559-5297

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWhole-body (WB) dynamic positron emission tomography (PET) enables imaging of highly quantitative physiological uptake parameters beyond the standardized uptake value (SUV). We present a novel dynamic WB anthropomorphic PET simulation framework to assess the potential of 2-deoxy-2-[ PROCEDURES: Validated heterogeneous [

resultsKi images presented higher TBR but lower CNR compared to SUV. In contrast to MASAC, AP segmentation resulted in smaller bias for MATV and DSC scores in Ki compared to SUV images. All metrics, except for ZP, were significantly different in AP segmentation between SUV and Ki images, with significant correlation observed for MATV, homogeneity, dissimilarity, and entropy. With MASAC segmentation, CIH

conclusionsA novel simulation framework was developed for the assessment of the quantitative benefits of WB Patlak PET on realistic heterogeneous tumor models. Quantitative analysis showed that WB Ki imaging may provide enhanced TBR and facilitate lesion segmentation and quantification beyond the SUV capabilities.

Indexed as

Computer SimulationImage Processing, Computer-AssistedPositron-Emission TomographyWhole Body ImagingFluorodeoxyglucose F18KineticsPhantoms, ImagingFluorodeoxyglucose F18HeterogeneityParametric imagingPETSegmentationWhole-body

Identifiers

What OpenQuestion holds

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Registered trials

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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.