Tipus de document

Article

Versió

Versió publicada

Data de publicació

Llicència de publicació

cc-by (c) Montejo González, Carmen et al., 2021
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/230271

Synthetic MRI in subarachnoid haemorrhage

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Resum

Aim To evaluate the reliability of synthetic magnetic resonance imaging (SyMRI) for detecting complications associated with subarachnoid haemorrhage (SAH), such as ischaemic lesions, hydrocephalus, or bleeding complications. Materials and methods Twenty patients with SAH, who underwent a conventional brain MRI and a SyMRI on a 3 T MRI machine. Comparable conventional and synthetic T2-weighted fluid attenuated inversion recovery (FLAIR) images were acquired. The presence of ischaemic lesions, hydrocephalus, extra-axial blood collections as well as the volumes of grey matter (GMv), white matter (WMv), and cerebrospinal (CSFv) were compared. The acquisition times of both sequences was also analysed. Results The concordance between the two techniques was excellent for the detection of ischaemic lesions and extra-axial collections (kappa = 0.80 and 0.88 respectively) and good for the detection of hydrocephalus (kappa = 0.69). No significant differences were detected in the number of ischaemic lesions (p=0.31) or in the Evans index (p=0.11). The WMv and CSFv measures were also similar (p=0.18 and p=0.94, respectively), as well as the volume of ischaemic lesions (p=0.79). Compared to conventional MRI, the SyMRI acquisition time was shorter regardless of the number of sections (32% and 6% time reduction for 4 or 3 mm section thickness, respectively). Conclusions SyMRI allows the detection of potential complications of SAH in a similar way to conventional MRI with a shorter acquisition time.

Citació

Citació

MONTEJO GONZÁLEZ, Carmen, et al. Synthetic MRI in subarachnoid haemorrhage. Clinical Radiology. 2021. Vol. 76, num. 10. ISSN 0009-9260. [consulted: 11 of July of 2026]. Available at: https://hdl.handle.net/2445/230271

Exportar metadades

JSON - METS

Compartir registre