Evidence map›Paper›PMID 29493816›Full record

ReviewMagnetic resonance in medicine2018

On modeling.

Dmitry S Novikov, Valerij G Kiselev, Sune N Jespersen

Abstract readReview
In one paragraph

Review in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 199 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
199citing papers in PubMed, 2 pooled it
–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

199 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Comparison of multi echo TScientific reports · 2021
    Trial
  5. Article
  6. Article
  7. Gray Matter Microstructure Measured Using Diffusion Imaging as a Biomarker of Severity in Lewy Body Diseases.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Multi-modal Monte Carlo MRI simulator of tissue microstructure.Imaging neuroscience (Cambridge, Mass.) · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

139 more citing papers are in PubMed but not listed here.

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

3 authors.

Dmitry S NovikovBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, USA.
Valerij G KiselevDepartment of Radiology, Medical Physics, University Medical Center Freiburg, Faculty of Medicine, Freiburg, Germany.
Sune N JespersenCFIN/MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.

Funding

Mesoscopic Biomarkers of Neurodegeneration with Diffusion MRIR01NS088040 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FIEREMANS, ELS, NOVIKOV, DMITRY S · 2014 to 2023
$5.2M
NINDS NIH HHS R01 NS088040
6 · The paper itself

Abstract

Mapping tissue microstructure with MRI holds great promise as a noninvasive window into tissue organization at the cellular level. Having originated within the realm of diffusion NMR in the late 1970s, this field is experiencing an exponential growth in the number of publications. At the same time, model-based approaches are also increasingly incorporated into advanced MRI acquisition and reconstruction techniques. However, after about two decades of intellectual and financial investment, microstructural mapping has yet to find a single commonly accepted clinical application. Here, we suggest that slow progress in clinical translation may signify unresolved fundamental problems. We outline such problems and related practical pitfalls, as well as review strategies for developing and validating tissue microstructure models, to provoke a discussion on how to bridge the gap between our scientific aspirations and the clinical reality. We argue for recalibrating the efforts of our community toward a more systematic focus on fundamental research aimed at identifying relevant degrees of freedom affecting the measured MR signal. Such a focus is essential for realizing the truly revolutionary potential of noninvasive three-dimensional in vivo microstructural mapping.

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingAlgorithmsBrainHumansModels, TheoreticalPhantoms, Imagingfunctional formmicrostructuremodelrepresentationvalidation

Identifiers

PMID29493816
PMCPMC5905348

What OpenQuestion holds

Textmetadata
LicenceTDM
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.