“Susceptibility Weighted Imaging sequence” applications in euroradiology
Journal Title: Dicle Tıp Dergisi - Year 2015, Vol 42, Issue 2
Abstract
Objective: Susceptibility weighted imaging (SWI) is a novel magnetic resonance technique which uses tissue magnetic susceptibility differences to generate a unique contrast, different from that of spin density, T1, T2, and T2*. The subject of this study is to display the usability and the lesion detection sensitivity of the susceptibility weighted imaging sequence at the various clinic condition in neuroradiology. Methods: Between February 2009 - May 2009 in Taksim Education and Research Hospital 180 patients, 93 (51.7%) females and 87 (48.3%) males and mean age is 51,6 (range between 5-86), are included to this study. T2* and SWI sequences were applied to all patients additional to conventional magnetic resonance imaging (MRI) sequences by using 1,5 Tesla MRI device (Magnetom Avanto; Siemens, Erlangen, Germany). Patients were compared with conventional and T2 * sequences in terms of visibility and appearance characteristics of lesions. Results: In our study, we found out that, 12 patients have traumatic and 10 patients have non-traumatic bleeding, 17 patients have mass, 14 patients have micro bleeding spots, 18 patients have vascular malformations, 19 patients have ischemic cerebral infarct, 5 patients have cerebral mineral depositions which is related to systemic or neurodegenerative disorders, 8 patients have multiple sclerosis and 48 patients have nonspecific findings. In 30 patients no pathologic findings have been found. Conclusion: SWI sequence is a new MRI imaging sequence which is sensitive in detection of pathologies like macro-micro bleeding, mineral depositions, low-flow vascular lesions, internal architecture of the cranial masses, and also showing hemorrhagic transformations in cerebral infarcts without anatomical detail loss. Key words: Susceptibility weighted imaging, neuroradiology, magnetic resonance imaging
Authors and Affiliations
Memik Teke, Adnan Kına, Özgür Sarıca, Sait Albayram
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