The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Cortical lesion load associates with progression of disability in multiple sclerosis
Abstract
Cortical inflammatory lesions have been correlated with disability and cortical atrophy in multiple sclerosis. The extent to which cortical lesion load is associated with longer-term physical and cognitive disability in different multiple sclerosis phenotypes has not yet been investigated. Thus, a 5-year prospective longitudinal study was carried on in a large group of patients with multiple sclerosis. Three hundred and twelve consecutive patients suffering from multiple sclerosis (157 relapsing remitting, 35 paediatric, 45 benign, 44 primary progressive and 31 secondary progressive) were enrolled in a 5-year prospective clinical and neuroimaging study. Several magnetic resonance parameters (including cortical lesion number and volume, contrast-enhancing cortical lesions and grey matter atrophy) were analysed to find associations with clinical and cognitive outcomes. Patients with high cortical lesion load had higher Expanded Disability Status Scale increase (median = 1.5; range = 0-3) during the study than both patients with low cortical lesion load (median = 1.0; range = 1-3, P < 0.001) and without cortical lesions (median = 0.5; range = -1 to 2, P < 0.001). Compared with clinically stable patients, 101 (32.4%) patients showing clinical progression at 5 years had the highest rate of cortical lesion accumulation (P < 0.001). Stepwise regression analysis revealed significant and independent contributions from age (β = 0.55), cortical lesion volume (β = 0.58), T(2) white matter lesion volume (β = 0.34) and grey matter fraction (β = 0.42) as predictors (final model with r(2 )= 0.657, P < 0.001) of Expanded Disability Status Scale change. Disease duration (β = 0.52, P < 0.001), cortical lesion volume (β = 0.67, P < 0.001), grey matter fraction (β = 0.56, P < 0.001) and T(2) white matter lesion volume (β = 0.31, P = 0.040) at baseline were found to be independent predictors of cognitive status at the end of the study. While confirming the relevance of cortical pathology in all multiple sclerosis phenotypes, but benign, our study suggests that grey matter and white matter changes in multiple sclerosis occur, at least, partly independently, and that grey matter, more than white matter, damage is associated with physical and cognitive disability progression. Thus, the combination of grey and white matter parameters gives a more comprehensive view of multiple sclerosis pathology and allows a better understanding of the progressive phase of the disease, which, however, seems more related to cortical damage than to subcortical white matter changes.
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.
Integrity signals
Registry
Cites
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.
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
Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS)
Kurtzke, J. F. (1983) · Neurology · doi:10.1212/wnl.33.11.1444 · Cited by 15,011
McDonald, W. I., Compston, A., Edan, G., Goodkin, D., Hartung, H., Lublin, F. D., McFarland, H. F., Paty, D. W., Polman, C. H., Reingold, S. C., et al. (2001) · Annals of Neurology · doi:10.1002/ana.1032 · Cited by 6,969
American Journal of Neuroradiology
(2020) · American Journal of Neuroradiology · doi:10.3174/ajnr · Cited by 2,453
Current Methods in Medical Image Segmentation
Pham, D. L., Xu, C., & Prince, J. L. (2000) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.2.1.315 · Cited by 2,341
Peterson, J. W., Bö, L., Mörk, S., Chang, A., & Trapp, B. D. (2001) · Annals of Neurology · doi:10.1002/ana.1123 · Cited by 1,403 · cited 2×
“…cortical lesions and progres- sive thinning characterize cortical pathology of all clinical subsets of multiple sclerosis (Kidd et al., 1999; Peterson et al., 2001; De Stefano et al., 2003; Geurts et al., 2005; Calabrese et al., 2007a, b, 2009b, c; Ramasamy et al., 2009; Absinta et al.,…”
Cortical lesions in multiple sclerosis
Kidd, D., Barkhof, F., McConnell, R., Algra, P. R., Allen, I. V., & Revesz, T. (1999) · Brain · doi:10.1093/brain/122.1.17 · Cited by 766
Miller, D. H. (2002) · Brain · doi:10.1093/brain/awf177 · Cited by 631
Calabrese, M., Agosta, F., Rinaldi, F., Mattisi, I., Grossi, P., Favaretto, A., Atzori, M., Bernardi, V., Barachino, L., Rinaldi, L., et al. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.174 · Cited by 555
Self-citationEvidence of early cortical atrophy in MS: Relevance to white matter changes and disability
De Stefano, N., Matthews, P. M., Filippi, M., Agosta, F., De Luca, M., Bartolozzi, M. L., Guidi, L., Ghezzi, A., Montanari, E., Cifelli, A., et al. (2003) · Neurology · doi:10.1212/01.wnl.0000055926.69643.03 · Cited by 489
Cortical lesions in multiple sclerosis: combined postmortem MR imaging and histopathology.
Geurts, J. J. G., Bø, L., Pouwels, P. J. W., Castelijns, J. A., Polman, C. H., & Barkhof, F. (2005) · PubMed · Cited by 406
Amato, M. P., Portaccio, E., Goretti, B., Zipoli, V, Ricchiuti, L., De Caro, M. F., Patti, F., Vecchio, R., Sorbi, S., & Trojano, M. (2006) · Multiple Sclerosis Journal · doi:10.1177/1352458506070933 · Cited by 398
Miller, D. H., Barkhof, F., Berry, I., Kappos, L., Scotti, G., & Thompson, A. J. (1991) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.54.8.683 · Cited by 370
Consensus recommendations for MS cortical lesion scoring using double inversion recovery MRI
Geurts, J. J. G., Roosendaal, S. D., Calabrese, M., Ciccarelli, O., Agosta, F., Chard, D. T., Gass, A., Huerga, E., Moraal, B., Pareto, D., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31820a0cc4 · Cited by 310
Self-citationCalabrese, M., De Stefano, N., Atzori, M., Bernardi, V., Mattisi, I., Barachino, L., Morra, A., Rinaldi, L., Romualdi, C., Perini, P., et al. (2007) · Archives of Neurology · doi:10.1001/archneur.64.10.1416 · Cited by 309
Self-citationCortical atrophy is relevant in multiple sclerosis at clinical onset
Calabrese, M., Atzori, M., Bernardi, V., Morra, A., Romualdi, C., Rinaldi, L., McAuliffe, M. J. M., Barachino, L., Perini, P., Fischl, B., et al. (2007) · Journal of Neurology · doi:10.1007/s00415-006-0503-6 · Cited by 237
Self-citationCamp, S. J., Stevenson, V. L., Thompson, A. J., Miller, D. H., Borras, C., Auriacombe, S., Brochet, B., Falautano, M., Filippi, M., Herisse-Dulo, L., et al. (1999) · Brain · doi:10.1093/brain/122.7.1341 · Cited by 234
Postmortem verification of MS cortical lesion detection with 3D DIR
Seewann, A., Kooi, E. J., Roosendaal, S. D., Pouwels, P. J. W., Wattjes, M. P., van der Valk, P., Barkhof, F., Polman, C. H., & Geurts, J. J. G. (2012) · Neurology · doi:10.1212/wnl.0b013e31824528a0 · Cited by 232
Nelson, F. M., Poonawalla, A. H., Hou, P., Huang, F., Wolinsky, J. S., & Narayana, P. A. (2007) · American Journal of Neuroradiology · doi:10.3174/ajnr.a0645 · Cited by 205
Grey matter volume in a large cohort of MS patients: relation to MRI parameters and disability
Roosendaal, S. D., Bendfeldt, K., Vrenken, H., Polman, C. H., Borgwardt, S., Radue, E. W., Kappos, L., Pelletier, D., Hauser, S. L., Matthews, P. M., et al. (2011) · Multiple Sclerosis Journal · doi:10.1177/1352458511404916 · Cited by 187
A 3‐year magnetic resonance imaging study of cortical lesions in relapse‐onset multiple sclerosis
Calabrese, M., Rocca, M. A., Atzori, M., Mattisi, I., Favaretto, A., Perini, P., Gallo, P., & Filippi, M. (2010) · Annals of Neurology · doi:10.1002/ana.21906 · Cited by 186
Self-citationAgosta, F., Rovaris, M., Pagani, E., Sormani, M., Comi, G., & Filippi, M. (2006) · Brain : a journal of neurology · doi:10.1093/brain/awl208 · Cited by 162
Cortical lesions in primary progressive multiple sclerosis: A 2-year longitudinal MR study
Calabrese, M., Rocca, M. A., Atzori, M., Mattisi, I., Bernardi, V., Favaretto, A. G., Barachino, L., Romualdi, C., Rinaldi, L., de Perini, P., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181a0fee5 · Cited by 145
Self-citationChard, D., Parker, G. J. M., Griffin, C., Thompson, A. J., & Miller, D. H. (2002) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10064 · Cited by 140
Extent of cerebellum, subcortical and cortical atrophy in patients with MS
Ramasamy, D. P., Benedict, R. H. B., Cox, J. L., Fritz, D., Abdelrahman, N. G., Hussein, S. M., Minagar, A., Dwyer, M. G., & Zivadinov, R. (2009) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2008.12.034 · Cited by 139
Grey matter damage predicts the evolution of primary progressive multiple sclerosis at 5 years.
Rovaris, M., Judica, E., Gallo, A., Benedetti, B., Sormani, M., Caputo, D., Ghezzi, A., Montanari, E., Bertolotto, A., Mancardi, G., et al. (2006) · Brain : a journal of neurology · doi:10.1093/brain/awl222 · Cited by 138
Roosendaal, S. D., Hulst, H. E., Vrenken, H., Feenstra, H. E. M., Castelijns, J. A., Pouwels, P. J. W., Barkhof, F., & Geurts, J. J. G. (2010) · Radiology · doi:10.1148/radiol.10091433 · Cited by 128
3D MPRAGE improves classification of cortical lesions in multiple sclerosis
Nelson, F. M., Poonawalla, A. H., Hou, P., Wolinsky, J., & Narayana, P. (2008) · Multiple Sclerosis Journal · doi:10.1177/1352458508094644 · Cited by 122
Imaging the tip of the iceberg: visualization of cortical lesions in multiple sclerosis
Seewann, A., Vrenken, H., Kooi, E., van der Valk, P., Knol, D. L., Polman, C. H., Pouwels, P. J. W., Barkhof, F., & Geurts, J. J. G. (2011) · Multiple Sclerosis Journal · doi:10.1177/1352458511406575 · Cited by 120
Nelson, F. M., Datta, S., Garcia, N., Rozario, N. L., Perez, F. I., Cutter, G., Narayana, P. A., & Wolinsky, J. S. (2011) · Multiple Sclerosis Journal · doi:10.1177/1352458511405561 · Cited by 120
Magnetic resonance evidence of cortical onset of multiple sclerosis
Calabrese, M., & Gallo, P. (2009) · Multiple Sclerosis · doi:10.1177/1352458509106510 · Cited by 94
Self-citationCalabrese, M., Filippi, M., Rovaris, M., Bernardi, V., Atzori, M., Mattisi, I., Favaretto, A. G., Grossi, P., Barachino, L., Rinaldi, L., et al. (2008) · Multiple Sclerosis Journal · doi:10.1177/1352458508096686 · Cited by 90
Self-citationT Regulatory Cells Are Markers of Disease Activity in Multiple Sclerosis Patients
Libera, D. D., Mitri, D. D., Bergami, A., Centonze, D., Gasperini, C., Grasso, M. G., Galgani, S., Martinelli, V., Comı, G., Avolio, C., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021386 · Cited by 90
Cortical pathology in multiple sclerosis patients with epilepsy: a 3 year longitudinal study
Calabrese, M., Grossi, P., Favaretto, A. G., Romualdi, C., Atzori, M., Rinaldi, F., de Perini, P., Saladini, M., & Gallo, P. (2011) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2011-300414 · Cited by 84
Self-citationA case of multiple sclerosis presenting with inflammatory cortical demyelination
Popescu, B. F. G., Bunyan, R., Parisi, J. E., Ransohoff, R., & Lucchinetti, C. (2011) · Neurology · doi:10.1212/wnl.0b013e31821a44f1 · Cited by 75
Cortical lesions in children with multiple sclerosis
Absinta, M., Rocca, M. A., Moiola, L., Copetti, M., Milani, N., Falini, A., Comı, G., & Filippi, M. (2011) · Neurology · doi:10.1212/wnl.0b013e31820f2e69 · Cited by 54
Complementary roles of grey matter MTR and T2 lesions in predicting progression in early PPMS
Tur, C., Khaleeli, Z., Ciccarelli, O., Altmann, D. R., Cercignani, M., Miller, D., & Thompson, A. J. (2010) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2010.209890 · Cited by 25
Cited by
Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis
Rocca, M. A., Amato, M. P., De Stefano, N., Enzinger, C., Geurts, J. J., Penner, I.-K., Rovira, A., Sumowski, J. F., Valsasina, P., & Filippi, M. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70250-9 · Cited by 557
on behalf of the MAGNIMS study group (2015) · Nature Reviews Neurology · doi:10.1038/nrneurol.2015.157 · Cited by 473
Progressive multiple sclerosis: prospects for disease therapy, repair, and restoration of function
Ontaneda, D., Thompson, A. J., Fox, R. J., & Cohen, J. A. (2017) · The Lancet · doi:10.1016/s0140-6736(16)31320-4 · Cited by 298
Inflammatory intrathecal profiles and cortical damage in multiple sclerosis
Magliozzi, R., Howell, O. W., Nicholas, R., Cruciani, C., Castellaro, M., Romualdi, C., Rossi, S., Pitteri, M., Benedetti, M. D., Gajofatto, A., et al. (2018) · Annals of Neurology · doi:10.1002/ana.25197 · Cited by 298
Self-citationMechanisms underlying progression in multiple sclerosis
Absinta, M., Lassmann, H., & Trapp, B. D. (2020) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000818 · Cited by 175
Metadata
- Authors
- Calabrese, M., Poretto, V., Favaretto, A., Alessio, S., Bernardi, V., Romualdi, C., Rinaldi, F., Perini, P., & Gallo, P.
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2012-10-01
- Volume
- 135
- Issue
- 10
- Pages
- 2952-2961
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W1986878825
- Cited by
- 329
- References
- 36
- FWCI
- 11.01
- 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
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.
