Evidence map›Paper›PMID 30689031›Full record

ArticleEuropean radiology2019

Does whole-body Patlak

Guillaume Fahrni, Nicolas A Karakatsanis, Giulia Di Domenicantonio, Valentina Garibotto, Habib Zaidi

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Patlak-Guided Self-Supervised Learning for Dynamic PET Denoising.IEEE transactions on radiation and plasma medical sciences · 2026
    Article
  2. Review
  3. Article
  4. Exploring the feasibility of a 40-minute uptake time for long axial field of view [European journal of nuclear medicine and molecular imaging · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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  14. Self-supervised neural network for Patlak-based parametric imaging in dynamic [European journal of nuclear medicine and molecular imaging · 2025
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Application of Dynamic [Molecular imaging and biology · 2024
    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.

Guillaume FahrniDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Nicolas A KarakatsanisDivision of Radiopharmaceutical Sciences, Department of Radiology, Weill Cornell Medical College of Cornell University, New York, NY, 10021, USA. nak2032@med.cornell.edu.
Giulia Di DomenicantonioDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Valentina GaribottoDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Habib ZaidiDivision of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland. habib.zaidi@hcuge.ch.ORCID http://orcid.org/0000-0001-7559-5297

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung SNFN 320030_176052
6 · The paper itself

Abstract

purposeSingle-pass whole-body (WB)

methodsWe compared SUV and K

resultsOverall, both methods provided good-quality images suitable for visual interpretation. A total of 118 lesions were detected, including 40 malignant (proven) and 78 malignant (unproven) lesions. Of those, 111 were detected on SUV and 108 on K

conclusionOncologic WB Patlak K KEY POINTS: • The whole-body spatio-temporal distribution of

Indexed as

AdultAgedFemaleFluorodeoxyglucose F18HumansLinear ModelsMaleMiddle AgedNeoplasmsPilot ProjectsPositron Emission Tomography Computed TomographyProspective StudiesRadiopharmaceuticalsSensitivity and SpecificityWhole Body ImagingFluorodeoxyglucose F18RadiopharmaceuticalsMolecular imagingPositron emission tomographyTumors

Identifiers

What OpenQuestion holds

Textmetadata
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.