Evidence map›Paper›PMID 28265679›Full record

ArticleClinical neuroradiology2018

FLAIRfusion Processing with Contrast Inversion : Improving Detection and Reading Time of New Cerebral MS Lesions.

M A Schmidt, R A Linker, S Lang, H Lücking, T Engelhorn, S Kloska, M Uder, A Cavallaro, A Dörfler, P Dankerl

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Article in Clinical neuroradiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Navigating choice in multiple sclerosis management.Neurological research and practice · 2019
    Review
  7. 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

10 authors.

M A SchmidtDepartment of Neuroradiology, University Hospital Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany. manuel.schmidt@uk-erlangen.de.
R A LinkerDepartment of Neurology, University Hospital Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany.
S LangDepartment of Neuroradiology, University Hospital Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany.
H LückingDepartment of Neuroradiology, University Hospital Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany.
T EngelhornDepartment of Neuroradiology, University Hospital Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany.
S KloskaDepartment of Neuroradiology, University Hospital Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany.
M UderDepartment of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054, Erlangen, Germany.
A CavallaroDepartment of Radiology, University Hospital Erlangen, Maximiliansplatz 1, 91054, Erlangen, Germany.
A DörflerDepartment of Neuroradiology, University Hospital Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany.
P DankerlDepartment of Neuroradiology, University Hospital Erlangen, Schwabachanlage 6, 91054, Erlangen, Germany.

Funding

IZKF Erlangen Project J53
6 · The paper itself

Abstract

purposeTo evaluate the performance of an innovative image processing approach for detection of T2-weighted hyperintense multiple sclerosis (MS) lesions.

methodsIn this study 20 consecutive patients with inflammatory demyelinating lesions were retrospectively evaluated of whom 10 patients featured progressive disease and 10 a stable lesion load. 3 mm transversal FLAIRfusion imaging was processed and archived. Image processing was performed through landmark-based 3D co-registration of the previous and current isotropic FLAIR examination followed by inversion of image contrast. Thereby, the hyperintense signals of the unchanged MS plaques extinguish each other, while newly developed lesions appear bright on FLAIRfusion. Diagnostic performance was evaluated by 4 experienced readers. Consensus reading supplied the reference standard. Sensitivity, specificity, NPV (negative predictive value), PPV (positive predictive value), interreader agreement and reading time were the outcome measures analyzed.

resultsCombined sensitivity was 100% at a specificity of 88.2%, with PPV ranging from 83.3% to 90.1% and NPV at 100%. Reading time was nearly 5‑fold faster than conventional side by side comparison (35.6 s vs. 163.7 s, p < 0.001). Cohen's kappa was excellent (>0.75; p < 0.001) and Cronbach's alpha was 0.994.

conclusionFLAIRfusion provides reliable detection of newly developed MS lesions along with strong interreader agreement across all levels of expertise in 35 s of reading time.

Indexed as

Image Processing, Computer-AssistedMagnetic Resonance ImagingAdultBrainFemaleGermanyHumansMaleMiddle AgedMultiple SclerosisReadingRetrospective StudiesSensitivity and SpecificityYoung AdultFLAIRFollow-upImage processingMultiple sclerosisT2 lesions

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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.