OBJECTIVE: Our objective in this study is to evaluate whether brain magnetic resonance imaging (MRI) performed at interferon-beta (IFN-beta) onset and after 12 months allow us to identify relapsing-remitting multiple sclerosis (RRMS) patients with a disability increase in the first 2 years of therapy. METHODS: This is a prospective and longitudinal study of patients with RRMS treated with IFN-beta. All patients included underwent brain MRI before the onset of therapy with IFN-beta and 12 months after. MRI measures (T2, unenhanced T1-weighted and gadolinium-enhancing T1-weighted brain lesion load, brain parenchymal fraction) were undertaken at baseline and after 12 months. The number of active lesions (new or enlarging T2 plus gadolinium-enhancing brain lesions) was also assessed on the 12 months MRI scan. Expanded Disability Status Scale (EDSS) was scored every 3 months. We defined an increase in disability as an increase of at least 1 EDSS point confirmed and sustained during the first 2 years of therapy with IFN-beta. Regression analysis was performed in order to identify MRI variables of response. RESULTS: We included 152 patients who were followed-up for at least 2 years. After 2 years of therapy, 24 patients (16%) had an increase in disability. The logistic regression model showed that active lesions in the scan performed at 12 months were the most important factor related with the increase of disability after 2 years of therapy (odds ratio 8.3, 95% confidence interval 3.1-21.9; p < 0.0001). CONCLUSIONS: In RRMS patients treated with IFN-beta the MRI changes occurring during the first year may have a prognostic value for identifying patients with a confirmed increase of disability after 2 years of therapy.
OBJECTIVE: Our objective in this study is to evaluate whether brain magnetic resonance imaging (MRI) performed at interferon-beta (IFN-beta) onset and after 12 months allow us to identify relapsing-remitting multiple sclerosis (RRMS) patients with a disability increase in the first 2 years of therapy. METHODS: This is a prospective and longitudinal study of patients with RRMS treated with IFN-beta. All patients included underwent brain MRI before the onset of therapy with IFN-beta and 12 months after. MRI measures (T2, unenhanced T1-weighted and gadolinium-enhancing T1-weighted brain lesion load, brain parenchymal fraction) were undertaken at baseline and after 12 months. The number of active lesions (new or enlarging T2 plus gadolinium-enhancing brain lesions) was also assessed on the 12 months MRI scan. Expanded Disability Status Scale (EDSS) was scored every 3 months. We defined an increase in disability as an increase of at least 1 EDSS point confirmed and sustained during the first 2 years of therapy with IFN-beta. Regression analysis was performed in order to identify MRI variables of response. RESULTS: We included 152 patients who were followed-up for at least 2 years. After 2 years of therapy, 24 patients (16%) had an increase in disability. The logistic regression model showed that active lesions in the scan performed at 12 months were the most important factor related with the increase of disability after 2 years of therapy (odds ratio 8.3, 95% confidence interval 3.1-21.9; p < 0.0001). CONCLUSIONS: In RRMS patients treated with IFN-beta the MRI changes occurring during the first year may have a prognostic value for identifying patients with a confirmed increase of disability after 2 years of therapy.
Authors: Mike P Wattjes; Àlex Rovira; David Miller; Tarek A Yousry; Maria P Sormani; Maria P de Stefano; Mar Tintoré; Cristina Auger; Carmen Tur; Massimo Filippi; Maria A Rocca; Franz Fazekas; Ludwig Kappos; Chris Polman Journal: Nat Rev Neurol Date: 2015-09-15 Impact factor: 42.937
Authors: Maria Trojano; Mar Tintore; Xavier Montalban; Jan Hillert; Tomas Kalincik; Pietro Iaffaldano; Tim Spelman; Maria Pia Sormani; Helmut Butzkueven Journal: Nat Rev Neurol Date: 2017-01-13 Impact factor: 42.937
Authors: M A Schmidt; R A Linker; S Lang; H Lücking; T Engelhorn; S Kloska; M Uder; A Cavallaro; A Dörfler; P Dankerl Journal: Clin Neuroradiol Date: 2017-03-06 Impact factor: 3.649
Authors: Edru Erbayat Altay; Elizabeth Fisher; Stephen E Jones; Claire Hara-Cleaver; Jar-Chi Lee; Richard A Rudick Journal: JAMA Neurol Date: 2013-03-01 Impact factor: 18.302