Evidence map›Paper›PMID 35776654›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2022

Improved detection of multiple sclerosis lesions with T2-prepared double inversion recovery at 3T.

Mauro Costagli, Caterina Lapucci, Domenico Zacà, Nicolò Bruschi, Simona Schiavi, Lucio Castellan, Alto Stemmer, Luca Roccatagliata, Matilde Inglese

Abstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Improved Assessment of Juxtacortical Lesions in Multiple Sclerosis Using Highly-accelerated High-resolution Double Inversion Recovery MR Imaging with Deep Learning-based Reconstruction.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  5. Article
  6. Article
  7. Observational
  8. Review
  9. Article
  10. Improved detection of multiple sclerosis lesions with T2-prepared double inversion recovery at 3T.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022
    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

9 authors.

Mauro CostagliDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genova, Italy.ORCID 0000-0001-9073-1082
Caterina LapucciDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genova, Italy.ORCID 0000-0002-3527-6520
Domenico ZacàSiemens Healthcare, Milano, Italy.
Nicolò BruschiDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genova, Italy.ORCID 0000-0002-2263-9441
Simona SchiaviDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genova, Italy.ORCID 0000-0003-1641-186X
Lucio CastellanIRCCS Ospedale Policlinico San Martino, Genova, Italy.ORCID 0000-0002-5463-8785
Alto StemmerSiemens Healthcare, Erlangen, Germany.
Luca RoccatagliataIRCCS Ospedale Policlinico San Martino, Genova, Italy.ORCID 0000-0001-8029-3947
Matilde IngleseDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Sciences (DINOGMI), University of Genoa, Genova, Italy.ORCID 0000-0002-9610-0297

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeDouble inversion recovery (DIR) imaging is used in multiple sclerosis (MS) clinical protocols to improve the detection of cortical and juxtacortical gray matter lesions by nulling confounding signals originating from the cerebrospinal fluid and white matter. Achieving a high isotropic spatial resolution, to depict the neocortex and its typically small lesions, is challenged by the reduced signal-to-noise ratio (SNR) determined by multiple tissue signal nulling. Here, we evaluate both conventional and optimized DIR implementations to improve tissue contrast (TC), SNR, and MS lesion conspicuity.

methodsDIR images were obtained from MS patients and healthy controls using both conventional and prototype implementations featuring a T2-preparation module (T2P), to improve SNR and TC, as well as an image reconstruction routine with iterative denoising (ID). We obtained quantitative measures of SNR and TC, and evaluated the visibility of MS cortical, cervical cord, and optic nerve lesions in the different DIR images.

resultsDIR implementations adopting T2P and ID enabled improving the SNR and TC of conventional DIR. In MS patients, 34% of cortical, optic nerve, and cervical cord lesions were visible only in DIR images acquired with T2P, and not in conventional DIR images. In the studied cases, image reconstruction with ID did not improve lesion conspicuity.

conclusionsDIR with T2P should be preferred to conventional DIR imaging in protocols studying MS patients, as it improves SNR and TC and determines an improvement in cortical, optic nerve, and cervical cord lesion conspicuity.

Indexed as

Multiple SclerosisWhite MatterHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingSignal-To-Noise Ratiocervical cordgray mattermagnetic resonance imagingmultiple sclerosisoptic nerve

Identifiers

PMID35776654
PMCPMC9544719

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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.