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Dive into the research topics where Wj Brownlee is active.

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Featured researches published by Wj Brownlee.


Journal of Clinical Neuroscience | 2014

Clinically isolated syndromes and the relationship to multiple sclerosis

Wj Brownlee; David H. Miller

The most common presentation of multiple sclerosis (MS) is with a clinically isolated syndrome (CIS) affecting the optic nerves, brainstem or spinal cord. Two thirds of patients with CIS will have further episodes of neurological dysfunction and convert to relapsing-remitting MS, while the remaining patients have a monophasic illness, at least clinically. Abnormalities on a baseline MRI scan predict the subsequent development of MS in patients with CIS. In the long term, about 80% of patients with an abnormal MRI convert to MS compared with 20% with a normal MRI. For patients who develop MS the long term prognosis is varied. After 20 years, almost half will have developed secondary progressive MS, while around one third have a benign disease course with little physical disability. Disease-modifying treatments delay conversion to MS in selected CIS patients with abnormal MRI but an effect on long term disability has not been demonstrated. In this review we discuss recent advances in the diagnosis, management and prognostication of patients with CIS.


Multiple Sclerosis Journal | 2017

Association of asymptomatic spinal cord lesions and atrophy with disability 5 years after a clinically isolated syndrome.

Wj Brownlee; Altmann; P Alves Da Mota; Josephine Swanton; Katherine A. Miszkiel; Cam Wheeler-Kingshott; O Ciccarelli; David H. Miller

Background: Spinal cord pathology is an important substrate for long-term disability in multiple sclerosis (MS). Objective: To investigate longitudinal changes in spinal cord lesions and atrophy in patients with a non-spinal clinically isolated syndrome (CIS), and how they relate to the development of disability. Methods: In all, 131 patients with a non-spinal CIS had brain and spinal cord imaging at the time of CIS and approximately 5 years later (median: 5.2 years, range: 3.0–7.9 years). Brain magnetic resonance imaging (MRI) measures consisted of T2-hyperintense and T1-hypointense lesion loads plus brain atrophy. Spinal cord MRI measures consisted of lesion number and the upper cervical cord cross-sectional area (UCCA). Disability was measured using the Expanded Disability Status Scale (EDSS). Multiple linear regression was used to identify independent predictors of disability after 5 years. Results: During follow-up, 93 (71%) patients were diagnosed with MS. Baseline spinal cord lesion number, change in cord lesion number and change in UCCA were independently associated with EDSS (R2 = 0.53) at follow-up. Including brain T2 lesion load and brain atrophy only modestly increased the predictive power of the model (R2 = 0.64). Conclusion: Asymptomatic spinal cord lesions and spinal cord atrophy contribute to the development of MS-related disability over the first 5 years after a non-spinal CIS.


Journal of Neurology, Neurosurgery, and Psychiatry | 2015

Earlier and more frequent diagnosis of multiple sclerosis using the McDonald criteria

Wj Brownlee; Josephine Swanton; Daniel R. Altmann; Olga Ciccarelli; David H. Miller

The McDonald criteria allow multiple sclerosis (MS) to be diagnosed in patients with a clinically isolated syndrome (CIS) who have MRI evidence of dissemination in time and space.1–3 There have been successive versions of the criteria in 2001,1 20052 and 20103 with different requirements for dissemination in time and space. Although each version has been shown to have a high sensitivity and specificity for the development of clinically-definite MS (CDMS), few studies have investigated how much sooner4 and how more often5 MS can be diagnosed in patients with CIS using the McDonald criteria. We recruited 178 patients with CIS presenting to Moorfields Eye Hospital and the National Hospital for Neurology and Neurosurgery between 1995 and 2004. The study was approved by ethics committees at both hospitals. Patients were seen at baseline, then for follow-up after 3 months, 1 year, 3 years and 6 years. At each study visit informed consent was obtained. Patients were assessed with a detailed review of neurological symptoms and neurological examination. Relapses were recorded at study visits, but patients were also encouraged to contact the research team at the time of new neurological symptoms. MRI of the brain and whole spine was obtained at each visit on the same 1.5 T Signa scanner, as described elsewhere.6 Each scan was reviewed by a neuroradiologist blinded to the patients clinical status. The number, location and activity (ie, gadolinium enhancement) of T2 lesions was recorded. During follow-up CDMS was defined according …


Neurology | 2016

Should the symptomatic region be included in dissemination in space in MRI criteria for MS

Wj Brownlee; Josephine Swanton; Katherine A. Miszkiel; David H. Miller; Olga Ciccarelli

Objectives: To investigate whether inclusion of lesions in the symptomatic region influences the performance of dissemination in space (DIS) criteria for a diagnosis of clinically definite multiple sclerosis (CDMS) in patients with a clinically isolated syndrome (CIS). Methods: We studied 30 patients with CIS with brainstem/cerebellar and spinal cord syndromes who had MRI scans at the time of CIS and were followed up for the development of CDMS. We retrospectively applied the McDonald 2010 DIS criteria (excluding all lesions in the symptomatic region) to baseline MRI scans and 2 modified DIS criteria: (1) the inclusion of asymptomatic lesions in the symptomatic region in DIS, and (2) the inclusion of any lesion in the symptomatic region in DIS. The performance of the McDonald 2010 DIS criteria and the 2 modified criteria for the development of CDMS was compared. Results: The sensitivity, specificity, and accuracy of the DIS criteria was, respectively, 73%, 73%, and 73% for the McDonald 2010 criteria, 80%, 73%, and 77% when asymptomatic lesions in the symptomatic region were included, and 87%, 73%, and 80% when any lesion in the symptomatic region was included in DIS. Conclusions: Including lesions in the symptomatic region in DIS increases the sensitivity of MRI criteria for diagnosing multiple sclerosis without compromising specificity. These findings may help inform future revisions of the diagnostic criteria for multiple sclerosis. Classification of evidence: This study provides Class II evidence that for patients with CIS, including lesions in the symptomatic region as part of the criteria for DIS does not significantly increase the accuracy for predicting the development of CDMS. The study lacks the precision to detect an important change in accuracy.


Lancet Neurology | 2017

Prediction of a multiple sclerosis diagnosis in patients with clinically isolated syndrome using the 2016 MAGNIMS and 2010 McDonald criteria: a retrospective study

Massimo Filippi; Paolo Preziosa; Alessandro Meani; O Ciccarelli; Sarlota Mesaros; Alex Rovira; J. L. Frederiksen; Christian Enzinger; Frederik Barkhof; Claudio Gasperini; Wj Brownlee; Jelena Drulovic; Xavier Montalban; Stig P. Cramer; Alexander Pichler; Marloes Hj Hagens; Serena Ruggieri; Vittorio Martinelli; Katherine A. Miszkiel; Mar Tintoré; Giancarlo Comi; Iris Dekker; Bernard M. J. Uitdehaag; Irena Dujmovic-Basuroski; Maria A. Rocca

BACKGROUND In 2016, the Magnetic Resonance Imaging in Multiple Sclerosis (MAGNIMS) network proposed modifications to the MRI criteria to define dissemination in space (DIS) and time (DIT) for the diagnosis of multiple sclerosis in patients with clinically isolated syndrome (CIS). Changes to the DIS definition included removal of the distinction between symptomatic and asymptomatic lesions, increasing the number of lesions needed to define periventricular involvement to three, combining cortical and juxtacortical lesions, and inclusion of optic nerve evaluation. For DIT, removal of the distinction between symptomatic and asymptomatic lesions was suggested. We compared the performance of the 2010 McDonald and 2016 MAGNIMS criteria for multiple sclerosis diagnosis in a large multicentre cohort of patients with CIS to provide evidence to guide revisions of multiple sclerosis diagnostic criteria. METHODS Brain and spinal cord MRI and optic nerve assessments from patients with typical CIS suggestive of multiple sclerosis done less than 3 months from clinical onset in eight European multiple sclerosis centres were included in this retrospective study. Eligible patients were 16-60 years, and had a first CIS suggestive of CNS demyelination and typical of relapsing-remitting multiple sclerosis, a complete neurological examination, a baseline brain and spinal cord MRI scan obtained less than 3 months from clinical onset, and a follow-up brain scan obtained less than 12 months from CIS onset. We recorded occurrence of a second clinical attack (clinically definite multiple sclerosis) at months 36 and 60. We evaluated MRI criteria performance for DIS, DIT, and DIS plus DIT with a time-dependent receiver operating characteristic curve analysis. FINDINGS Between June 16, 1995, and Jan 27, 2017, 571 patients with CIS were screened, of whom 368 met all study inclusion criteria. At the last evaluation (median 50·0 months [IQR 27·0-78·4]), 189 (51%) of 368 patients developed clinically definite multiple sclerosis. At 36 months, the two DIS criteria showed high sensitivity (2010 McDonald 0·91 [95% CI 0·85-0·94] and 2016 MAGNIMS 0·93 [0·88-0·96]), similar specificity (0·33 [0·25-0·42] and 0·32 [0·24-0·41]), and similar area under the curve values (AUC; 0·62 [0·57-0·67] and 0·63 [0·58-0·67]). Performance was not affected by inclusion of symptomatic lesions (sensitivity 0·92 [0·87-0·96], specificity 0·31 [0·23-0·40], AUC 0·62 [0·57-0·66]) or cortical lesions (sensitivity 0·92 [0·87-0·95], specificity 0·32 [0·24-0·41], AUC 0·62 [0·57-0·67]). Requirement of three periventricular lesions resulted in slightly lower sensitivity (0·85 [0·78-0·90], slightly higher specificity (0·40 [0·32-0·50], and similar AUC (0·63 [0·57-0·68]). Inclusion of optic nerve evaluation resulted in similar sensitivity (0·92 [0·87-0·96]), and slightly lower specificity (0·26 [0·18-0·34]) and AUC (0·59 [0·55-0·64]). AUC values were also similar for DIT (2010 McDonald 0·61 [0·55-0·67] and 2016 MAGNIMS 0·61 [0·55-0·66]) and DIS plus DIT (0·62 [0·56-0·67] and 0·64 [0·58-0·69]). INTERPRETATION The 2016 MAGNIMS criteria showed similar accuracy to the 2010 McDonald criteria in predicting the development of clinically definite multiple sclerosis. Inclusion of symptomatic lesions is expected to simplify the clinical use of MRI criteria without reducing accuracy, and our findings suggest that needing three lesions to define periventricular involvement might slightly increase specificity, suggesting that these two factors could be considered during further revisions of multiple sclerosis diagnostic criteria. FUNDING UK MS Society, National Institute for Health Research University College London Hospitals Biomedical Research Centre, Dutch MS Research Foundation.


Journal of Neurology, Neurosurgery, and Psychiatry | 2017

Incidence and prevalence of NMOSD in Australia and New Zealand

Wajih Bukhari; Kerri Prain; Patrick Waters; Mark Woodhall; Cullen O'Gorman; Laura Clarke; Roger Silvestrini; Christine Bundell; David Abernethy; Sandeep Bhuta; Stefan Blum; Mike Boggild; Karyn L Boundy; Bruce J. Brew; Matthew A. Brown; Wj Brownlee; Helmut Butzkueven; William M. Carroll; Celia Chen; Alan Coulthard; Russell C. Dale; Chandi Das; Keith Dear; Marzena J. Fabis-Pedrini; David A. Fulcher; David Gillis; Simon Hawke; Robert Heard; Andrew Henderson; Saman Heshmat

Objectives We have undertaken a clinic-based survey of neuromyelitis optica spectrum disorders (NMOSDs) in Australia and New Zealand to establish incidence and prevalence across the region and in populations of differing ancestry. Background NMOSD is a recently defined demyelinating disease of the central nervous system (CNS). The incidence and prevalence of NMOSD in Australia and New Zealand has not been established. Methods Centres managing patients with demyelinating disease of the CNS across Australia and New Zealand reported patients with clinical and laboratory features that were suspicious for NMOSD. Testing for aquaporin 4 antibodies was undertaken in all suspected cases. From this group, cases were identified who fulfilled the 2015 Wingerchuk diagnostic criteria for NMOSD. A capture–recapture methodology was used to estimate incidence and prevalence, based on additional laboratory identified cases. Results NMOSD was confirmed in 81/170 (48%) cases referred. Capture–recapture analysis gave an adjusted incidence estimate of 0.37 (95% CI 0.35 to 0.39) per million per year and a prevalence estimate for NMOSD of 0.70 (95% CI 0.61 to 0.78) per 100 000. NMOSD was three times more common in the Asian population (1.57 (95% CI 1.15 to 1.98) per 100 000) compared with the remainder of the population (0.57 (95% CI 0.50 to 0.65) per 100 000). The latitudinal gradient evident in multiple sclerosis was not seen in NMOSD. Conclusions NMOSD incidence and prevalence in Australia and New Zealand are comparable with figures from other populations of largely European ancestry. We found NMOSD to be more common in the population with Asian ancestry.


Multiple Sclerosis Journal | 2017

Periventricular lesions and MS diagnostic criteria in young adults with typical clinically isolated syndromes.

Wj Brownlee; Katherine A. Miszkiel; Daniel R. Altmann; O Ciccarelli; David H. Miller

In patients who present with a clinically isolated syndrome (CIS), whose features are suggestive of multiple sclerosis (MS), fulfilling McDonald 2010 magnetic resonance imaging (MRI) criteria for dissemination in space (DIS) and dissemination in time (DIT) enables a diagnosis of MS. While ⩾1 periventricular lesion is included in the 2010 DIS criteria, earlier McDonald criteria required ⩾3 periventricular lesions to confirm DIS and recent Magnetic Resonance Imaging in Multiple Sclerosis (MAGNIMS)-recommended DIS criteria also require ⩾3 lesions. We investigated the effect of varying the required number of periventricular lesions and found that the best combination of specificity and sensitivity for clinically definite MS was seen for ⩾1 periventricular lesion using both the McDonald 2010 and MAGNIMS 2016 criteria.


Multiple Sclerosis Journal | 2017

Opportunistic infections after alemtuzumab: New cases of norcardial infection and cytomegalovirus syndrome

Wj Brownlee

876 journals.sagepub.com/home/msj by Merck, Biogen, Novartis, and Sanofi-Genzyme. Dr De Mercanti had travel expenses for congresses paid by Merck, Biogen, Novartis, and Sanofi-Genzyme. Dr Artusi had travel expenses for congresses paid by Merck, Biogen, Novartis, and Sanofi-Genzyme. Dr Durelli received personal compensation by Sanofi-Genzyme for participating to advisory boards, by Merck for editorial collaborations, and had travel expenses for congresses paid by Merck, Biogen, Novartis, and Sanofi-Genzyme. Dr Robert Naismith received honoraria for consulting from Acorda, Alkermes, Bayer, Biogen, EMD Serono, Genentech, Genzyme, Mallinckrodt, Novartis, Pfizer, Teva.


Annals of Neurology | 2018

Deep gray matter volume loss drives disability worsening in multiple sclerosis

Arman Eshaghi; Ferran Prados; Wj Brownlee; Daniel R. Altmann; Carmen Tur; M. Jorge Cardoso; Floriana De Angelis; Steven H. van de Pavert; Niamh Cawley; Nicola De Stefano; M. Laura Stromillo; Marco Battaglini; Serena Ruggieri; Claudio Gasperini; Massimo Filippi; Maria A. Rocca; Alex Rovira; Jaume Sastre-Garriga; Hugo Vrenken; Cyra E Leurs; Joep Killestein; Lukas Pirpamer; Christian Enzinger; Sebastien Ourselin; C Wheeler-Kingshott; Declan Chard; Alan J. Thompson; Daniel C. Alexander; Frederik Barkhof; O Ciccarelli

Gray matter (GM) atrophy occurs in all multiple sclerosis (MS) phenotypes. We investigated whether there is a spatiotemporal pattern of GM atrophy that is associated with faster disability accumulation in MS.


Brain | 2018

Progression of regional grey matter atrophy in multiple sclerosis

Arman Eshaghi; Razvan Valentin Marinescu; Alexandra L. Young; Nicholas C. Firth; Ferran Prados; M. Jorge Cardoso; Carmen Tur; Floriana De Angelis; Niamh Cawley; Wj Brownlee; Nicola De Stefano; M. Laura Stromillo; Marco Battaglini; Serena Ruggieri; Claudio Gasperini; Massimo Filippi; Maria A. Rocca; Alex Rovira; Jaume Sastre-Garriga; Jeroen J. G. Geurts; Hugo Vrenken; Viktor Wottschel; Cyra E Leurs; Bernard M. J. Uitdehaag; Lukas Pirpamer; Christian Enzinger; Sebastien Ourselin; C Wheeler-Kingshott; Declan Chard; Alan J. Thompson

See Stankoff and Louapre (doi:10.1093/brain/awy114) for a scientific commentary on this article. Grey matter atrophy in multiple sclerosis affects certain areas preferentially. Eshaghi et al. use a data-driven computational model to predict the order in which regions atrophy, and use this sequence to stage patients. Atrophy begins in deep grey matter nuclei and posterior cortical regions, before spreading to other cortical areas.

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O Ciccarelli

UCL Institute of Neurology

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Olga Ciccarelli

University College London

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David H. Miller

UCL Institute of Neurology

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Dh Miller

University College London

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Declan Chard

National Institute for Health Research

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Ferran Prados

University College London

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Josephine Swanton

UCL Institute of Neurology

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