BACKGROUND: Cerebrospinal fluid tissue specific imaging (CSF-TSI), a newly implemented magnetic resonance imaging (MRI) technique, allows visualization of a subset of chronic black holes (cBHs) with MRI characteristics suggestive of the presence of CSF-like fluid, and representing lesions with extensive tissue destruction. OBJECTIVE: To investigate the relationship between lesions in CSF-TSI and disease measures in patients with multiple sclerosis (MS). METHODS: Twenty-six patients with MS were imaged at 3.0 T, obtaining T(1)-weighted (T(1)-w) and T(2)-w spin echo (SE), T(1) volumetric images and CSF-TSI images. We measured: (i) lesion volume (LV) in T(1)-w (cBH-LV) and T(2)-w SE images, and in CSF-TSI; (ii) brain parenchyma fraction (BPF). Differences between patients with and without CSF-TSI lesions were analyzed and association between clinical and MRI metrics were investigated. RESULTS: cBHs were seen in 92% of the patients while lesions in CSF-TSI were seen in 40%. Patients with CSF-TSI lesions were older, with longer disease duration, higher disability scores, larger cBH-LV and T(2)-LV, and lower BPF than patients without CSF-TSI lesions (≤0.047). Partial correlation analysis correcting for T(2)-LV, cBH-LV and BPF showed an association (p < 0.0001, r = 0.753) between CSF-TSI LV and disability score. CONCLUSIONS: CSF-TSI lesions characterize patients with more advanced disease and probably contribute to the progress of disability.
BACKGROUND: Cerebrospinal fluid tissue specific imaging (CSF-TSI), a newly implemented magnetic resonance imaging (MRI) technique, allows visualization of a subset of chronic black holes (cBHs) with MRI characteristics suggestive of the presence of CSF-like fluid, and representing lesions with extensive tissue destruction. OBJECTIVE: To investigate the relationship between lesions in CSF-TSI and disease measures in patients with multiple sclerosis (MS). METHODS: Twenty-six patients with MS were imaged at 3.0 T, obtaining T(1)-weighted (T(1)-w) and T(2)-w spin echo (SE), T(1) volumetric images and CSF-TSI images. We measured: (i) lesion volume (LV) in T(1)-w (cBH-LV) and T(2)-w SE images, and in CSF-TSI; (ii) brain parenchyma fraction (BPF). Differences between patients with and without CSF-TSI lesions were analyzed and association between clinical and MRI metrics were investigated. RESULTS: cBHs were seen in 92% of the patients while lesions in CSF-TSI were seen in 40%. Patients with CSF-TSI lesions were older, with longer disease duration, higher disability scores, larger cBH-LV and T(2)-LV, and lower BPF than patients without CSF-TSI lesions (≤0.047). Partial correlation analysis correcting for T(2)-LV, cBH-LV and BPF showed an association (p < 0.0001, r = 0.753) between CSF-TSI LV and disability score. CONCLUSIONS:CSF-TSI lesions characterize patients with more advanced disease and probably contribute to the progress of disability.
Authors: M Castellaro; R Magliozzi; A Palombit; M Pitteri; E Silvestri; V Camera; S Montemezzi; F B Pizzini; A Bertoldo; R Reynolds; S Monaco; M Calabrese Journal: AJNR Am J Neuroradiol Date: 2017-04-13 Impact factor: 3.825
Authors: Bing Yao; Vasiliki N Ikonomidou; Fredric K Cantor; Joan M Ohayon; Jeff Duyn; Francesca Bagnato Journal: J Neuroimaging Date: 2015-02-06 Impact factor: 2.486
Authors: I Riederer; D C Karampinos; M Settles; C Preibisch; J S Bauer; J F Kleine; M Mühlau; C Zimmer Journal: AJNR Am J Neuroradiol Date: 2014-08-28 Impact factor: 3.825
Authors: Vasiliki N Ikonomidou; Nancy D Richert; Alexander Vortmeyer; Fernanda Tovar-Moll; Bibiana Bielekova; Natalie E Cook; Jeff H Duyn; Francesca Bagnato Journal: Mult Scler Date: 2013-10 Impact factor: 6.312
Authors: Hyun-Joo Park; Andre G Machado; Jessica Cooperrider; Havan Truong-Furmaga; Matthew Johnson; Vibhuti Krishna; Zhihong Chen; John T Gale Journal: J Neurosci Methods Date: 2012-12-20 Impact factor: 2.390