Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 346

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Using gadolinium‐enhanced magnetic resonance imaging lesions to monitor disease activity in multiple sclerosis

McFarland, Henry F., Frank, Joseph A., Albert, Paul S., Smith, Mary E., Martin, Roland, Harris, Jonathan O., Patronas, Nicholas, Maloni, Heidi, McFarlin, Dale E.·1992·Annals of Neurology

Abstract

The highly variable clinical course and the lack of a direct measurement of disease activity have made evaluation of experimental therapies in multiple sclerosis (MS) difficult. Recent studies indicate that clinically silent lesions can be demonstrated by magnetic resonance imaging (MRI) in patients with mild relapsing‐remitting MS. Thus, MRI may provide a means for monitoring therapeutic trials in the early phase of MS. We studied 12 patients longitudinally for 12 to 21 months with monthly gadolinium (Gd)‐enhanced MRIs. The data have been used to identify the most effective design of a clinical trial using Gd‐enhanced lesions as the outcome measure. Frequent (>1/mo) Gd‐enhancing lesions were observed in 9 of the 12 patients, indicating that the disease is active even during the early phase of the illness. The frequency of the lesions was not constant; there was marked fluctuation in lesion number from month to month. However, the magnitude of the peak number of lesions and the frequency of the peaks varied among patients. Because of this variability, the most effective use of Gd‐enhancing lesions as an outcome measure in a clinical trial was a crossover design with study arms of sufficient duration to allow accurate estimation of lesion frequency. Monitoring Gd‐enhancing lesions may be an effective tool to assist in the assessment of experimental therapies in early MS.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/ana.410320609

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 4 references

Cited by

See all 346

Metadata

Authors
McFarland, H. F., Frank, J. A., Albert, P. S., Smith, M. E., Martin, R., Harris, J. O., Patronas, N., Maloni, H., & McFarlin, D. E.
Venue
Annals of Neurology
Publisher
Wiley
Published
1992-12
Volume
32
Issue
6
Pages
758-766
ISSN
  • 0364-5134 (ISSN-L)
  • 1531-8249
OpenAlex
W2048159994
Cited by
346
References
4
FWCI
8.54
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Using gadolinium‐enhanced magnetic resonance imaging lesions to monitor disease activity in multiple sclerosis. https://app.cochat.ai/papers/10.1002/ana.410320609
The paper
McFarland, H. F., Frank, J. A., Albert, P. S., Smith, M. E., Martin, R., Harris, J. O., Patronas, N., Maloni, H., & McFarlin, D. E. (1992). Using gadolinium‐enhanced magnetic resonance imaging lesions to monitor disease activity in multiple sclerosis. Annals of Neurology. https://doi.org/10.1002/ana.410320609

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.