Evidence map›Paper›PMID 41529573›Full record

Observational studyJournal of the neurological sciences2026

The impact of adding optical coherence tomography in MS diagnostic criteria on the classification of tumefactive demyelination.

Fiorella S Guido, John J Chen, Paul A Decker, Mahboubeh Fereidan-Esfahani, Kevin D Chodnicki, Deena A Tajfirouz, Eoin P Flanagan, Orhun H Kantarci, B Mark Keegan, Sean J Pittock and 4 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of the neurological sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Fiorella S GuidoDepartment of Neurology, Mayo Clinic, Rochester, MN, USA; Center for Multiple Sclerosis and Autoimmunen Neurology, Mayo Clinic, Rochester, MN, USA.
John J ChenDepartment of Neurology, Mayo Clinic, Rochester, MN, USA; Center for Multiple Sclerosis and Autoimmunen Neurology, Mayo Clinic, Rochester, MN, USA; Department of Ophthalmology, Mayo Clinic, Rochester, MN, USA.
Paul A DeckerDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Mahboubeh Fereidan-EsfahaniDepartment of Neurology, Mayo Clinic, Rochester, MN, USA; Center for Multiple Sclerosis and Autoimmunen Neurology, Mayo Clinic, Rochester, MN, USA; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Kevin D ChodnickiDepartment of Ophthalmology, Mayo Clinic, Rochester, MN, USA.
Deena A TajfirouzDepartment of Neurology, Mayo Clinic, Rochester, MN, USA; Center for Multiple Sclerosis and Autoimmunen Neurology, Mayo Clinic, Rochester, MN, USA; Department of Ophthalmology, Mayo Clinic, Rochester, MN, USA.
Eoin P FlanaganDepartment of Neurology, Mayo Clinic, Rochester, MN, USA; Center for Multiple Sclerosis and Autoimmunen Neurology, Mayo Clinic, Rochester, MN, USA.
Orhun H KantarciDepartment of Neurology, Mayo Clinic, Rochester, MN, USA; Center for Multiple Sclerosis and Autoimmunen Neurology, Mayo Clinic, Rochester, MN, USA.
B Mark KeeganDepartment of Neurology, Mayo Clinic, Rochester, MN, USA; Center for Multiple Sclerosis and Autoimmunen Neurology, Mayo Clinic, Rochester, MN, USA.
Sean J PittockDepartment of Neurology, Mayo Clinic, Rochester, MN, USA; Center for Multiple Sclerosis and Autoimmunen Neurology, Mayo Clinic, Rochester, MN, USA.
Jan-Mendelt TillemaDepartment of Neurology, Mayo Clinic, Rochester, MN, USA; Center for Multiple Sclerosis and Autoimmunen Neurology, Mayo Clinic, Rochester, MN, USA.
Claudia F LucchinettiDepartment of Neurology, Mayo Clinic, Rochester, MN, USA; Center for Multiple Sclerosis and Autoimmunen Neurology, Mayo Clinic, Rochester, MN, USA; Department of Neurology and Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
Jeanette E Eckel-PassowDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
W Oliver TobinDepartment of Neurology, Mayo Clinic, Rochester, MN, USA; Department of Ophthalmology, Mayo Clinic, Rochester, MN, USA. Electronic address: tobin.oliver@mayo.edu.

Funding

Diagnosis of indeterminate brain lesions using MRI-based machine learning and polygenic risk modelsR01NS113803 · NINDS · MAYO CLINIC ROCHESTER · PI ECKEL PASSOW, JEANETTE E, TOBIN, W. OLIVER · 2020 to 2024
$3.1M
NINDS NIH HHS R01 NS113803
6 · The paper itself

Abstract

backgroundDe novo tumefactive demyelination (TD) poses a diagnostic challenge, with lower rates of cerebrospinal fluid (CSF) oligoclonal bands and lower female-to-male ratio than typical onset multiple sclerosis (MS). Only about half fulfill the 2017 McDonald diagnostic criteria for MS at presentation. Therefore, our aim was to assess optic nerve involvement by optical coherence tomography (OCT) in patients with TD. Further, whether the presence of abnormalities on OCT would allow additional TD patients to be diagnosed with MS when the optic nerve is added as a fifth topography to the Barkhof criteria or 2017 McDonald criteria.

methodsObservational retrospective chart review of patients seen at a tertiary referral center from 1/1/1990 to 2/21/2024 with TD. Inclusion criteria were: 1) brain MRI showing an active TD lesion; 2) medical records with at least one available clinical assessment by a neurologist; 3) available Cirrus OCT data to review. Exclusion criteria were: 1) patients with final diagnosis of vasculitis, abscess, CNS malignancies, or MOGAD; 2) presence of confounding ocular disease.

resultsOCT was available in 68 patients with TD. The tumefactive attack was the first demyelinating event in 45 (67 %) patients. At presentation, 29/68 (43 %) fulfilled 3 of 4 Barkhof criteria, and 34/68 (50 %) fulfilled the 2017 McDonald criteria for the diagnosis of MS. A clinical history of optic neuritis was present in 9/68 (13 %) patients and OCT was abnormal in 9/9 (100 %) of those patients. Regardless of clinical history, OCT was abnormal in 22/68 (32 %) patients. Therefore, OCT identified abnormalities suggestive of prior optic neuritis in 13/59 (22 %) TD patients without a clinical history of optic neuritis. If the optic nerve, as a firth topography, was assessed by OCT 39/68 (57 %) would fulfill McDonald criteria.

conclusionsOCT in patients presenting with TD lesions can frequently identify both clinical and subclinical optic neuritis. The addition of the optic nerve as a fifth topography assessed by OCT to fulfill dissemination in space criteria would allow additional TD patients to be diagnosed with MS.

Indexed as

Demyelinating DiseasesMultiple SclerosisOptic NerveTomography, Optical CoherenceAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedOptic NeuritisRetrospective StudiesYoung Adult

Identifiers

PMID41529573
PMCPMC12951624

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