Evidence map›Paper›PMID 29744748›Full record

ArticleEJNMMI research2018

Assessing the kidney function parameters glomerular filtration rate and effective renal plasma flow with dynamic FDG-PET/MRI in healthy subjects.

Barbara K Geist, Pascal Baltzer, Barbara Fueger, Martina Hamboeck, Thomas Nakuz, Laszlo Papp, Sazan Rasul, Lalith Kumar Shiyam Sundar, Marcus Hacker, Anton Staudenherz

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03557138 (Study to Develop a Kinetic Model for FDG and Me4FDG in Kidneys of Type 2 Diabetic Patients With SGLT2 Inhibitor Therapies), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 11% 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.

NCT03557138 naunknown statusnot on this map

Study to Develop a Kinetic Model for FDG and Me4FDG in Kidneys of Type 2 Diabetic Patients With SGLT2 Inhibitor Therapies

TypeinterventionalSponsorMedical University of ViennaRan2017 to 2020Enrolled20ConditionsType2 Diabetes MellitusArmsalpha-Methyl-4-deoxy-4-[(18)F]fluoro-D-glucopyranoside
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Ex Vivo Simultaneous HJournal of imaging · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. International journal of molecular sciences · 2022
    Article
  10. Article
  11. Response to letter to the editor.European journal of nuclear medicine and molecular imaging · 2022
    Article
  12. First results on kinetic modelling and parametric imaging of dynamicEuropean journal of nuclear medicine and molecular imaging · 2022
    Article
  13. DynamicBMC medical imaging · 2021
    Article
  14. Article
  15. Review
  16. Observational
  17. Article
  18. The next era of renal radionuclide imaging: novel PET radiotracers.European journal of nuclear medicine and molecular imaging · 2019
    Review
  19. 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

10 authors at 1 institution in 1 country.

Barbara K GeistDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Pascal BaltzerDepartment of Biomedical Imaging and Image-guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Vienna, Austria.
Barbara FuegerDepartment of Biomedical Imaging and Image-guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Vienna, Austria.
Martina HamboeckDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Thomas NakuzDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Laszlo PappDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Sazan RasulDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Lalith Kumar Shiyam SundarCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Marcus HackerDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria. marcus.hacker@meduniwien.ac.at.
Anton StaudenherzDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA method was developed to assess the kidney parameters glomerular filtration rate (GFR) and effective renal plasma flow (ERPF) from 2-deoxy-2-[

resultsTotal kidney GFR and ERPF as estimated by dynamic PET/MRI were highly correlated to their reference values (r = 0.88/p < 0.0001 and r = 0.82/p < 0.0001, respectively) with no significant difference between their means.

conclusionsThe study is a proof of concept that GFR and ERPF can be assessed with dynamic FDG PET/MRI scans in healthy kidneys. This has advantages for patients getting a routine scan, where additional examinations for kidney function estimation could be avoided. Further studies are required for transferring this PET/MRI method to PET/CT applications.

Indexed as

Effective renal plasma flowFDGGlomerular filtration ratePET/MRI

Identifiers

PMID29744748
PMCPMC5943199
OpenAlexW2800422514

What OpenQuestion holds

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Registered trials

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.