Evidence map›Paper›PMID 30265769›Full record

ArticleMagnetic resonance in medicine2019

On the sensitivity of quantitative susceptibility mapping for measuring trabecular bone density.

Maximilian N Diefenbach, Jakob Meineke, Stefan Ruschke, Thomas Baum, Alexandra Gersing, Dimitrios C Karampinos

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Lumbar MRI-Based Deep Learning for Osteoporosis Prediction.Diagnostics (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Bone Biomarkers Based on Magnetic Resonance Imaging.Seminars in musculoskeletal radiology · 2024
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Survey of MRI Usefulness for the Clinical Assessment of Bone Microstructure.International journal of molecular sciences · 2021
    Review
  13. Article
  14. 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

6 authors.

Maximilian N DiefenbachDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Jakob MeinekePhilips Research Laboratory, Hamburg, Germany.
Stefan RuschkeDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Thomas BaumDepartment of Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany.
Alexandra GersingDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Dimitrios C KarampinosDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.

Funding

European Research Council 677661European Research Council 677661-ProFatMRI
6 · The paper itself

Abstract

purposeTo develop a methodological framework to simultaneously measure

methodsThe ankle of 16 healthy volunteers and two patients was scanned using a time-interleaved multi-gradient-echo (TIMGRE) sequence. After field mapping based on water-fat separation methods and background field removal based on the Laplacian boundary value method, three different QSM dipole inversion schemes were implemented. Mean susceptibility values in regions of different trabecular bone density in the calcaneus were compared to the corresponding values in the

resultsDifferences in calcaneus trabecularization were well depicted in susceptibility maps, in good agreement with high-resolution MR and CT images. Simulations and in vivo scans showed a linear relationship of measured susceptibility with BV/TV and

conclusionsA method for multi-paramteric mapping, including

Indexed as

Magnetic Resonance ImagingAdipose TissueAdultAgedAlgorithmsAnkleBone and BonesBone MarrowCancellous BoneComputer SimulationFemaleFootHealthy VolunteersHumansImage Processing, Computer-AssistedMalesusceptibility mappingtrabecular bone density

Identifiers

PMID30265769
PMCPMC6585956

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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.