Evidence map›Paper›PMID 25853079›Full record

ReviewQuantitative imaging in medicine and surgery2015

Post-processing of structural MRI for individualized diagnostics.

Pascal Martin, Benjamin Bender, Niels K Focke

Abstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
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  9. Patient respiratory-triggered quantitative TJournal of magnetic resonance imaging : JMRI · 2019
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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.

Pascal Martin1 Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, 2 Department of Diagnostic and Interventional Neuroradiology, University of Tübingen, 72076 Tübingen, Germany.
Benjamin Bender1 Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, 2 Department of Diagnostic and Interventional Neuroradiology, University of Tübingen, 72076 Tübingen, Germany.
Niels K Focke1 Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, 2 Department of Diagnostic and Interventional Neuroradiology, University of Tübingen, 72076 Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, a relevant proportion of all histopathologically proven focal cortical dysplasia (FCD) escape visual detection; this shows the need for additional improvements in analyzing MRI data. A positive MRI is still the strongest prognostic factor for postoperative freedom of seizures. Among several post-processing methods voxel-based morphometry (VBM) of T1- and T2-weighted sequences and T2 relaxometry are routinely applied in pre-surgical diagnostics of cryptogenic epilepsy in epilepsy centers. VBM is superior to conventional visual analysis with 9-15% more identified epileptogenic foci, while T2 relaxometry has its main application in (mesial) temporal lobe epilepsy. Further methods such as surface-based morphometry (SBM) or diffusion tensor imaging are promising but there is a lack of current studies comparing their individual diagnostic value. Post-processing methods represent an important addition to conventional visual analysis but need to be interpreted with expertise and experience so that they should be apprehended as a complementary tool within the context of the multi-modal evaluation of epilepsy patients. This review will give an overview of existing post-processing methods of structural MRI and outline their clinical relevance in detection of epileptogenic structural changes.

Indexed as

Epilepsypost-processingvoxel-based morphometry (VBM)

Identifiers

PMID25853079
PMCPMC4379317

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Registered trials

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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.