Evidence map›Paper›PMID 28491496›Full record

ReviewNeuroImage. Clinical2017

Towards in vivo focal cortical dysplasia phenotyping using quantitative MRI.

Sophie Adler, Sara Lorio, Thomas S Jacques, Barbora Benova, Roxana Gunny, J Helen Cross, Torsten Baldeweg, David W Carmichael

Open access · goldAbstract readReview
In one paragraph

Review in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Quantitative TImaging neuroscience (Cambridge, Mass.) · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. MRI of focal cortical dysplasia.Neuroradiology · 2022
    Review
  19. Article
  20. 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

8 authors at 3 institutions in 2 countries.

Sophie AdlerDevelopmental Neurosciences, UCL Great Ormond Street Institute of Child Health, University College London, London, UK.
Sara LorioDevelopmental Neurosciences, UCL Great Ormond Street Institute of Child Health, University College London, London, UK. Electronic address: s.lorio@ucl.ac.uk.
Thomas S JacquesDevelopmental Biology and Cancer Programme, UCL Great Ormond Street Institute of Child Health, University College London, London, UK.
Barbora BenovaDevelopmental Biology and Cancer Programme, UCL Great Ormond Street Institute of Child Health, University College London, London, UK; Department of Paediatric Neurology, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic; 2nd Faculty of Medicine, Charles University, Prague, Czech Republic.
Roxana GunnyDepartment of Radiology, Great Ormond Street Hospital for Children, London, UK.
J Helen CrossDevelopmental Neurosciences, UCL Great Ormond Street Institute of Child Health, University College London, London, UK.
Torsten BaldewegDevelopmental Neurosciences, UCL Great Ormond Street Institute of Child Health, University College London, London, UK.
David W CarmichaelDevelopmental Neurosciences, UCL Great Ormond Street Institute of Child Health, University College London, London, UK.
University College London · GBGreat Ormond Street Hospital · GBUniversity Hospital in Motol · CZ

Funding

Medical Research Council G0300117Medical Research Council G1002276
6 · The paper itself

Abstract

Focal cortical dysplasias (FCDs) are a range of malformations of cortical development each with specific histopathological features. Conventional radiological assessment of standard structural MRI is useful for the localization of lesions but is unable to accurately predict the histopathological features. Quantitative MRI offers the possibility to probe tissue biophysical properties in vivo and may bridge the gap between radiological assessment and ex-vivo histology. This review will cover histological, genetic and radiological features of FCD following the ILAE classification and will explain how quantitative voxel- and surface-based techniques can characterise these features. We will provide an overview of the quantitative MRI measures available, their link with biophysical properties and finally the potential application of quantitative MRI to the problem of FCD subtyping. Future research linking quantitative MRI to FCD histological properties should improve clinical protocols, allow better characterisation of lesions in vivo and tailored surgical planning to the individual.

Indexed as

PhenotypeHumansMagnetic Resonance ImagingMalformations of Cortical DevelopmentBiophysical tissue propertiesEpilepsy surgeryFocal cortical dysplasiaHistologyMalformation of cortical developmentMRIqMRIQuantitative mappingQuantitative MRIRadiology

Identifiers

PMID28491496
PMCPMC5413300
OpenAlexW2606887047

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.