Evidence map›Paper›PMID 31872873›Full record

ArticleEpilepsia2020

Hippocampal profiling: Localized magnetic resonance imaging volumetry and T2 relaxometry for hippocampal sclerosis.

Sjoerd B Vos, Gavin P Winston, Olivia Goodkin, Hugh G Pemberton, Frederik Barkhof, Ferran Prados, Marian Galovic, Matthias Koepp, Sebastien Ourselin, M Jorge Cardoso and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Epilepsia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.5field-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

25 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Quantification of amyloid PET for future clinical use: a state-of-the-art review.European journal of nuclear medicine and molecular imaging · 2022
    Review
  17. Review
  18. Article
  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

11 authors at 7 institutions in 5 countries.

Sjoerd B VosCentre for Medical Image Computing, University College London, London, UK.ORCID 0000-0002-8502-4487
Gavin P WinstonEpilepsy Society MRI Unit, Chalfont St Peter, UK.ORCID 0000-0001-9395-1478
Olivia GoodkinCentre for Medical Image Computing, University College London, London, UK.
Hugh G PembertonCentre for Medical Image Computing, University College London, London, UK.
Frederik BarkhofCentre for Medical Image Computing, University College London, London, UK.
Ferran PradosCentre for Medical Image Computing, University College London, London, UK.
Marian GalovicEpilepsy Society MRI Unit, Chalfont St Peter, UK.
Matthias KoeppEpilepsy Society MRI Unit, Chalfont St Peter, UK.
Sebastien OurselinSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
M Jorge CardosoSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
John S DuncanEpilepsy Society MRI Unit, Chalfont St Peter, UK.ORCID 0000-0002-1373-0681
Epilepsy Research UK · GBKing's College London · GBNational Health Service · GBNational Hospital for Neurology and Neurosurgery · GBQueen's University · CAUK Dementia Research Institute · GBUniversitat Oberta de Catalunya · ES

Funding

Medical Research Council MR/M00841X/1UCLH Biomedical Research Centre High Impact Initiative BW.mn.BRC10269Wellcome TrustWellcome Trust 106882/Z/15/Z
6 · The paper itself

Abstract

objectiveHippocampal sclerosis (HS) is the most common cause of drug-resistant temporal lobe epilepsy, and its accurate detection is important to guide epilepsy surgery. Radiological features of HS include hippocampal volume loss and increased T2 signal, which can both be quantified to help improve detection. In this work, we extend these quantitative methods to generate cross-sectional area and T2 profiles along the hippocampal long axis to improve the localization of hippocampal abnormalities.

methodsT1-weighted and T2 relaxometry data from 69 HS patients (32 left, 32 right, 5 bilateral) and 111 healthy controls were acquired on a 3-T magnetic resonance imaging (MRI) scanner. Automated hippocampal segmentation and T2 relaxometry were performed and used to calculate whole-hippocampal volumes and to estimate quantitative T2 (qT2) values. By generating a group template from the controls, and aligning this so that the hippocampal long axes were along the anterior-posterior axis, we were able to calculate hippocampal cross-sectional area and qT2 by a slicewise method to localize any volume loss or T2 hyperintensity. Individual patient profiles were compared with normative data generated from the healthy controls.

resultsProfiling of hippocampal volumetric and qT2 data could be performed automatically and reproducibly. HS patients commonly showed widespread decreases in volume and increases in T2 along the length of the affected hippocampus, and focal changes may also be identified. Patterns of atrophy and T2 increase in the left hippocampus were similar between left, right, and bilateral HS. These profiles have potential to distinguish between sclerosis affecting volume and qT2 in the whole or parts of the hippocampus, and may aid the radiological diagnosis in uncertain cases or cases with subtle or focal abnormalities where standard whole-hippocampal measurements yield normal values. SIGNIFICANCE: Hippocampal profiling of volumetry and qT2 values can help spatially localize hippocampal MRI abnormalities and work toward improved sensitivity of subtle focal lesions.

Indexed as

AdolescentAdultAgedAnatomy, Cross-SectionalAtrophyDrug Resistant EpilepsyEpilepsy, Temporal LobeFemaleFunctional LateralityHippocampusHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedReproducibility of Resultshippocampal sclerosishippocampal volumetryneuroimagingrelaxometry

Identifiers

PMID31872873
PMCPMC7065164
OpenAlexW2998032464

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.