Evidence map›Paper›PMID 34249638›Full record

ArticleQuantitative imaging in medicine and surgery2021

Continuous diffusion spectrum computation for diffusion-weighted magnetic resonance imaging of the kidney tubule system.

Joāo S Periquito, Thomas Gladytz, Jason M Millward, Paula Ramos Delgado, Kathleen Cantow, Dirk Grosenick, Luis Hummel, Ariane Anger, Kaixuan Zhao, Erdmann Seeliger and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Magnetic resonance imaging of renal oxygenation.Nature reviews. Nephrology · 2025
    Review
  8. Article
  9. Observational
  10. Review
  11. Article
  12. MRI of kidney size matters.Magma (New York, N.Y.) · 2024
    Review
  13. Renal MRI: From Nephron to NMR Signal.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  14. Article
  15. 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

13 authors at 3 institutions in 1 country.

Joāo S PeriquitoBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Thomas GladytzBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Jason M MillwardBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Paula Ramos DelgadoBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Kathleen CantowInstitute of Physiology, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany.
Dirk GrosenickPhysikalisch-Technische Bundesanstalt (PTB), Berlin, Germany.
Luis HummelInstitute of Physiology, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany.
Ariane AngerInstitute of Physiology, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany.
Kaixuan ZhaoBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Erdmann SeeligerInstitute of Physiology, Charité - Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany.
Andreas PohlmannBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Sonia WaicziesBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Thoralf NiendorfBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEMax Delbrück Center · DEPhysikalisch-Technische Bundesanstalt · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of rigid multi-exponential models (with

methodsNon-linear least squares (LS) fitting was used as reference for the simulations. For performance assessment, a threshold of 5% or 10% for the mean absolute percentage error (MAPE) of NNLS and LS results was used. As ground truth, a tri-exponential model using defined volume fractions and diffusion coefficients for each renal compartment (tubule system:

resultsNNLS showed the same high degree of reliability as the non-linear LS. MAPE of the tubular volume fraction (

conclusionsThis work demonstrates the feasibility of NNLS modelling for DWI of the kidney tubule system and shows its potential for examining diffusion compartments associated with renal pathophysiology including ITV fraction and different degrees of fibrosis.

Indexed as

diffusion-weighted imagingKidneyMRInon-negative least squares (NNLS)tubular volume fraction

Identifiers

PMID34249638
PMCPMC8250037
OpenAlexW3157806932

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.